50+ Python Jobs in Bangalore (Bengaluru) | Python Job openings in Bangalore (Bengaluru)

Role Title:- Mid-Level Python Developer

 Location - Bangalore

 Employment Type -Full-time (Work from Office)

Experience Required - 3 to 7 years

Notice Period Preference - Open to all candidates, but shorter notice period candidates will be preferred.

About the Role

We are looking for a strong Mid-Level Python Developer to join our backend engineering team in Bangalore. The role is focused on building, maintaining, and improving backend systems for fintech products in the Indian capital markets domain, specifically around PMS, AIF, portfolio operations, order management, reporting, and client-facing enterprise workflows.

The ideal candidate should have hands-on experience in building APIs, working with relational databases, writing clean and maintainable Python code, and solving practical backend engineering problems. This is a backend-first role. Frontend or Angular exposure is preferred but not mandatory.

The candidate should be capable of independently owning backend modules, collaborating with product and frontend teams, mentoring junior developers, and eventually growing into a team lead role.

Key Responsibilities

- Design, develop, and maintain backend APIs using Python and FastAPI.

- Build reliable, scalable, and maintainable backend services.

- Work extensively with PostgreSQL for database design, querying, optimization, and data integrity.

- Use Redis for caching, queues, session handling, or performance improvement where applicable.

- Write clean, modular, testable, and production-ready Python code.

- Develop REST APIs with proper request validation, error handling, authentication, and response structure.

- Understand business requirements and convert them into robust backend implementation.

- Debug production issues, identify root causes, and implement long-term fixes.

- Optimize database queries, backend logic, and API performance.

- Participate in code reviews and maintain engineering standards.

- Mentor junior developers and help improve their coding, debugging, and backend design skills.

- Work closely with frontend developers, QA, product/business teams, and management.

- Contribute to technical documentation, SOPs, and internal development practices.

- Build backend solutions for fintech workflows related to PMS, AIF, capital markets, reporting, order processing, and operational automation.

Required Technical Skills

Python Backend Development:-

- Strong hands-on experience with Core Python.

- Good understanding of Python data structures, functions, classes, modules, exception handling, and file handling.

- Ability to write clean, reusable, and maintainable backend code.

- Experience with practical backend service logic, data transformation, and debugging.

FastAPI / API Development:-

- Hands-on experience with FastAPI or similar Python web frameworks.

- Strong understanding of REST API design.

- Experience with request/response validation, status codes, error handling, middleware, and dependency injection.

- Basic understanding of authentication and authorization in APIs.

- Ability to design APIs that are practical, secure, and maintainable.

Database Skills:-

- Strong working knowledge of PostgreSQL.

- Ability to write SQL queries involving joins, aggregations, filters, subqueries, and transactions.

- Understanding of indexing, query performance, constraints, and relational database design.

- Ability to troubleshoot data issues and optimize database-heavy backend workflows.

 Redis / Caching:-

- Working knowledge of Redis.

- Understanding of caching use cases, TTL, key-value storage, and performance improvement patterns.

- Experience using Redis in backend applications will be preferred.

 Backend Engineering Fundamentals:-

- Understanding of application architecture, modular code structure, logging, configuration management, and environment variables.

- Good debugging and problem-solving ability.

- Understanding of production issues, edge cases, and maintainability.

- Basic understanding of background jobs, queues, async processing, or scheduled tasks will be preferred.

Version Control & Development Practices

- Experience with Git.

- Ability to work with branches, pull requests, code reviews, and structured development workflows.

- Familiarity with testing, basic unit tests, and API testing tools such as Postman.

Preferred Skills

- Experience in fintech, capital markets, PMS, AIF, wealth management, portfolio reporting, or order management systems.

- Exposure to Angular or frontend development.

- Experience with background task processing, Celery, Redis queues, or scheduled jobs.

- Experience with Docker or Linux-based deployment environments.

- Experience working on enterprise SaaS or client-facing business applications.

- Understanding of financial data workflows, reconciliations, transactions, holdings, reporting, or order lifecycle.

Domain Exposure Preferred

Candidates with experience or interest in the following areas will be preferred:

- Indian capital markets

- Portfolio Management Services — PMS

- Alternative Investment Funds — AIF

- Wealth management platforms

- Order management systems

- Financial reporting systems

- Investor/client reporting workflows

- Transaction, holding, and reconciliation workflows

Expected Candidate Profile

The ideal candidate should be:

- A strong backend developer with practical problem-solving ability.

- Comfortable working independently on backend modules.

- Able to understand business workflows and translate them into technical implementation.

- Detail-oriented, especially when working with financial data.

- Comfortable debugging production issues and improving system reliability.

- Capable of mentoring junior developers.

- Interested in growing into a future technical/team lead role.

- Comfortable working from an office in Bangalore.

Assessment Process

The hiring process will include:

1. Initial screening based on resume, experience, notice period, and compensation fit.

2. Google Form technical assessment of 50 marks.

3. Live coding / technical discussion round.

4. Final face-to-face discussion covering technical depth, domain fit, ownership, and team fit.

What We Are Evaluating

- Python fundamentals and coding clarity

- Backend API design ability

- SQL and PostgreSQL practical knowledge

- Debugging and problem-solving approach

- Understanding of Redis and caching basics

- Ability to think through edge cases

- Code maintainability and readability

- Production-readiness mindset

- Ability to work in fintech/capital markets workflows

- Potential to mentor juniors and grow into a lead role

 Summary

This role is suitable for a backend-focused Python developer who has strong hands-on coding ability, practical database knowledge, and the maturity to independently own backend modules. The candidate should be comfortable working in a fintech product environment where accuracy, reliability, and clean backend design are critical.

About Logikality

Logikality is building an AI-native mortgage intelligence platform for the U.S. mortgage industry. We are reimagining how mortgage operations are executed by combining AI, workflow automation, and domain expertise to solve one of the most document-intensive and decision-heavy industries in the world.

Our platform goes beyond document extraction. We are building AI systems that understand mortgage files, reason across multiple sources of information, identify risks and exceptions, support underwriting and quality control decisions, and continuously improve through expert feedback and rigorous evaluation.

Job Description

We are looking for a Generative AI Engineer to build and scale Logikality's AI-native mortgage platform.

The role requires strong hands-on engineering expertise in designing, building, and deploying production-grade Generative AI systems that power intelligent mortgage operations. You will work across LLM applications, AI agents, retrieval systems, reasoning workflows, backend services, APIs, and cloud infrastructure to transform complex mortgage workflows into reliable AI products.

This is a high-ownership role for someone who can rapidly convert business problems into scalable AI solutions with minimal supervision.

Key Requirements

• 3 to 8 years of experience in software engineering, AI engineering, or Generative AI development, preferably in startup environments. 
• B.E./B.Tech. in Computer Science or a related engineering discipline a premier engineering institution (e.g., IITs, IISc, NITs, BITS Pilani, or top-tier global universities).
• Proven experience independently owning projects end-to-end from solution design and model integration to production deployment, monitoring, and maintenance. 
• Strong proficiency in Python and modern backend development. 
• Hands-on experience building production-grade applications using Large Language Models (LLMs). 
• Experience with agentic AI frameworks, multi-agent workflows, function/tool calling, structured outputs, and prompt engineering. 
• Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, vector databases, semantic search, and knowledge retrieval systems. 
• Experience integrating commercial and open-source foundation models (OpenAI, Anthropic, Gemini, Llama, Mistral, or similar). 
• Experience building AI pipelines using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or equivalent orchestration frameworks. 
• Strong understanding of model evaluation, hallucination mitigation, guardrails, prompt optimisation, and LLM observability. 
• Experience with OCR, document intelligence, structured information extraction, or multimodal AI systems is preferred. 
• Strong knowledge of APIs, databases, cloud infrastructure, Docker, Kubernetes, and CI/CD pipelines. 
• Ability to design scalable, secure, and production-ready AI architectures. 
• Strong debugging skills, systems thinking, and an ownership mindset with the ability to move quickly in an early-stage startup. 

Preferred Experience

• Experience building AI copilots, autonomous agents, or enterprise AI assistants. 
• Familiarity with MCP, AI tool integration, and agent orchestration. 
• Experience fine-tuning, distillation, or evaluation of open-source LLMs. 
• Knowledge of AI safety, governance, and responsible AI practices. 
• Experience working with document-heavy enterprise domains such as financial services, banking, insurance, healthcare, legal, or mortgage technology. 
• Experience deploying AI applications on AWS, Azure, or GCP. 

What You'll Build

• AI agents that automate mortgage underwriting, quality control, compliance, and document review. 
• RAG-based knowledge systems that reason across large collections of mortgage documents. 
• Intelligent workflows combining LLM reasoning with deterministic business rules. 
• Production-grade AI APIs and backend services powering Logikality's platform. 
• Evaluation pipelines to continuously improve AI quality, accuracy, latency, and cost. 

Why Join Logikality?

At Logikality, you'll work on problems that require genuine reasoning, not just text generation. You'll help build AI systems that understand complex documents, synthesise information across workflows, explain decisions, identify exceptions, and improve through continuous learning and expert feedback.

This will be a full-time in-office role based in Bangalore. Immediate joiners are preferred.

Key Responsibilities

• Performance Testing: Design and execute large-scale strategies using Apache JMeter.
• CI/CD Integration: Embed performance testing into pipelines and automate workflows.
• Observability: Lead monitoring initiatives with Dynatrace.
• AI Insights: Leverage Davis AI for anomaly detection, insights, and root cause analysis.
• Automation Frameworks: Build frameworks for testing, reporting, and quality gates.
• Bottleneck Resolution: Diagnose and resolve issues across applications, APIs, databases, middleware, and infrastructure.
• ML Applications: Apply ML for workload modelling, traffic forecasting, and optimization.
• Collaboration: Partner with Dev, DevOps, Cloud, and Architecture teams.
• Governance: Define standards, best practices, and governance.
• Leadership: Mentor engineers and provide technical leadership.
• Executive Reporting: Present findings and recommendations to stakeholders.

Observability & Monitoring

• Strong hands-on experience with Dynatrace.
• Proven use of Davis AI in production.
• Expertise in APM, Observability, Root Cause Analysis, and Performance Diagnostics.

Automation & AI

• Experience developing Performance Automation frameworks.
• Proficiency in Python scripting.
• Applying AI/ML for traffic prediction, load simulation, workload modelling, and performance optimization.

Cloud & Infrastructure

• Strong experience with AWS, Azure, or GCP.
• Expertise in JVM tuning, database optimization, API performance analysis, and infrastructure monitoring.

Good-to-Have

• Experience with Gatling, k6, or LoadRunner.
• Exposure to Grafana and OpenTelemetry.
• Experience with Kubernetes Performance Tuning.
• Dynatrace certifications.
• Client-facing consulting or professional services background.

We are seeking a highly skilled and passionate Hardware Emulation Engineer to join our team working withthe best in the Industry, developing innovative ASIC solutions for data center and AI Infrastructure. As an Hardware Emulation Engineer, you will be at the forefront of pre-silicon validation, ensuring the highest quality and functionality of our hardware before it goes into production.

Key Responsibilities:

·      Emulation Environment Development: Build and maintain pre-silicon emulation platforms using industry-standard systems such as Cadence Palladium or Synopsys ZeBu or Veloce Strato, Primo

·      Model Integration and Optimization: Integrate the RTL design onto the emulation platform by ensuring synthesizability, optimize build efficiency and performance, and work with high-performance transactors and emulation testbenches (e.g., using SystemVerilog, C/C++, Python).

·      Flush out emulation flow issues by performing smoke verification

·      Support validation team in execute comprehensive test content, including bare-metal and OS-based tests, to accelerate bug finding in pre-silicon on the emulation platform.

·      Collaboration: Work closely with cross-functional teams including design, verification and SW development teams to understand issues in using the emulation platform.

·      Flow Automation: Develop and enhance automation scripts and flows using Python, Perl, and shell scripting to manage regressions, optimize runtime, and improve overall verification efficiency.

·      Vendor Collaboration: Interface with emulation platform vendors to debug and quickly resolve technical issues encountered with the tools.

·      The candidate must be able to work independently and proactively on allocated technical tasks.

Required Skills:

·      Proficiency in Hardware Description Languages (HDLs) such as Verilog and SystemVerilog.

·      SoC Knowledge: Solid understanding of SoC architectures and industry-standard protocols (e.g. AXI, PCIe, ETH, USB, HVM)

·      Experience with verification methodologies (UVM, SVA) and related verification environments, including C/C++ DPI is desirable.

·      Strong scripting skills in Python, Perl, Tcl, or Shell for automation.

·      Familiarity with debugging tools (e.g., Verdi, SimVision) and waveform analysis is desirable.

Education:

Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.

Experience:

·      Proven experience of 5+ years in hardware verification and/or emulation roles.

·      Hands-on experience with at least one of the major commercial emulation platforms (Cadence Palladium, Synopsys ZeBu, or Siemens Veloce).

QFocus AI Pvt Ltd is an Equal Employment Opportunity employer.

Python Backend Developer Intern (FastAPI)

Location: Bangalore (On-site)

Company: Appscrip

About Appscrip

At Appscrip, we build products that solve real business problems using modern technologies like AI, cloud infrastructure, and scalable backend systems. We're looking for developers who enjoy building things, learning quickly, and aren't afraid to dive into new technologies.

If you've built projects in Python, experimented with FastAPI, or spent time playing around with AI and LLMs, we'd love to talk to you.

What You'll Be Working On

* Building and maintaining backend services using FastAPI.

* Developing REST APIs for web and mobile applications.

* Working with databases and designing efficient data models.

* Building features powered by AI and Large Language Models (LLMs).

* Integrating third-party APIs and backend services.

* Debugging, optimizing, and improving existing systems.

* Collaborating closely with senior engineers to ship production-ready features.

What We're Looking For

* Strong Python programming skills.

* Hands-on experience with FastAPI through personal, college, internship, or freelance projects.

* Experience working with either PostgreSQL or MongoDB.

* Good understanding of REST APIs, JSON, and HTTP.

* Familiarity with Git and collaborative development.

* A genuine interest in AI and LLMs, with basic knowledge of concepts like:

* Prompt engineering

* Using LLM APIs (OpenAI, Gemini, Claude, etc.)

* RAG or AI agents (nice to know, not mandatory)

* Someone who's curious, enjoys solving problems, and likes learning new technologies.

Nice to Have

These aren't mandatory, but they'll definitely make your profile stand out:

* Redis

* Kafka or other messaging systems

* Docker

* Celery or background workers

* SQLAlchemy

* Vector databases (Qdrant, Pinecone, Weaviate, etc.)

* Experience deploying applications to the cloud

Who Can Apply?

* Final-year students

* Recent graduates

* Freshers or candidates with up to 1 year of experience

The most important thing for us is that you've built things. Whether they're college projects, hackathon submissions, personal projects, or open-source contributions—we'd love to see them.

Why Join Appscrip?

* Work on real production applications from day one.

* Get hands-on experience with modern AI technologies and LLM-powered products.

* Learn from experienced backend engineers.

* Exposure to scalable backend architecture, cloud infrastructure, and modern development practices.

* A fast-paced environment where you'll have ownership and plenty of opportunities to grow.

If you're passionate about Python, enjoy backend development, and are excited about building AI-powered applications, we'd love to hear from you.

Skills: Digital: Application Programming Interface (API)~Java Rest web services~ AI Agents~ AI & Gen AI - Products & Tools

Job Description – Gen AI Developer

Exp: 5-8 years

Role Summary

We are looking for a skilled AI Developer to design, develop, and deploy AI-powered applications, intelligent automation solutions, and Generative AI systems. The ideal candidate should have hands-on experience in Python development, Large Language Models (LLMs), Prompt Engineering, AI agent development, workflow automation, and cloud AI services.

Key Responsibilities

AI Application Development

· Design and develop AI-powered business applications.

· Build enterprise AI assistants, copilots, and AI agents.

· Develop AI APIs and intelligent automation workflows.

· Integrate AI capabilities into enterprise applications.

· Create scalable and production-ready AI solutions.

Generative AI Development

· Build applications using Large Language Models (LLMs).

· Develop Prompt Engineering frameworks.

· Implement RAG (Retrieval-Augmented Generation) solutions.

· Integrate OpenAI and Azure OpenAI models.

· Develop conversational AI and intelligent assistants.

Intelligent Automation

· Build workflow automation solutions.

· Develop AI-driven business process automation.

· Create intelligent document processing solutions.

· Integrate AI with enterprise business systems.

· Automate repetitive operational processes.

Conversational AI

· Build AI chatbots and virtual assistants.

· Design conversational workflows.

· Implement multi-channel AI solutions.

· Enable human-in-the-loop AI workflows.

Model Development & Integration

· Develop and deploy machine learning models.

· Fine-tune AI models for business use cases.

· Build inference APIs and AI services.

· Support model lifecycle management.

Mandatory Technical Skills: Programming Languages

Must Have

· Python

· SQL

· REST APIs

· JSON

Technical requirements in current AI architecture documents explicitly highlight strong experience in Python and AI solution development.

Generative AI

Must Have

· OpenAI

· Azure OpenAI

· Prompt Engineering

· LLM Integration

· AI Assistants

· RAG Architecture

Good to Have

· Claude

· Gemini

· Llama Models

· Mistral

AI leadership and AI architecture requirements specifically reference Generative AI, Azure OpenAI, prompt engineering, orchestration, and enterprise AI adoption.

AI Frameworks

Preferred

· LangChain

· Semantic Kernel

· LlamaIndex

· Hugging Face

· AutoGen

· CrewAI

Machine Learning

Must Have

· Scikit-Learn

· TensorFlow

· PyTorch

Concepts

· Model Training

· Model Evaluation

· Model Deployment

· Feature Engineering

NLP & Semantic Search

· Natural Language Processing

· Embeddings

· Vector Search

· Semantic Search

· Text Analytics

· Knowledge Retrieval

Microsoft AI Stack

Must Have

· Microsoft Copilot Studio

· Power Automate

· Azure AI Services

· Azure AI Foundry

The internal AI Architecture JD explicitly calls out Copilot Studio, Power Automate, Azure AI Foundry, and Generative AI technologies as core competencies.

Cloud Platforms

Microsoft Azure

· Azure AI Services

· Azure OpenAI

· Azure AI Foundry

· Azure Functions

· Azure App Services

· Azure Storage

· Azure Machine Learning

AWS (Preferred)

· SageMaker

· Bedrock

· Lambda

· S3

Cloud-native AI platforms including Azure ML and SageMaker are referenced within internal AI/ML architecture requirements.

Automation & Integration

· Power Automate

· Workflow Automation

· API Integration

· Microsoft Graph API

· Intelligent Process Automation

MLOps & DevOps

Preferred

· Git

· Azure DevOps

· CI/CD Pipelines

· Docker

· Kubernetes

· Model Monitoring

· Model Versioning

Current AI architecture standards include MLOps lifecycle management, model deployment, monitoring, and CI/CD integration.

BFSI Domain Experience (Preferred)

Experience in:

· Banking

· Corporate Banking

· Payments

· Risk Management

· Fraud Detection

· Insurance

· Financial Data Analytics

Soft Skills

· Strong analytical mindset

· Innovation-driven approach

· Problem-solving skills

· Excellent communication skills

· Stakeholder management

· Team collaboration

Educational Qualification

· B.E. / B.Tech.

· MCA

· M.Tech.

· Computer Science

· Artificial Intelligence

· Data Science

· Machine Learning

Preferred Certifications

· Microsoft Azure AI Engineer Associate (AI-102)

· Azure Fundamentals (AZ-900)

· Azure OpenAI Certifications

· Machine Learning Certifications

· Generative AI Certifications

Role: GCP Data Engineer

Location: Bangalore. Chennai, Noida, Pune, Hyderabad

Experience: 5 years

Primary skills: Python, NOSQL, GCP concepts like Airflow, Big Query & Spanner, DAG, Composer for large dataset, Tidal tool

Role Descriptions:

Design| build| and maintain scalable data pipelines to support analytics| ML| and operational reporting.

Develop robust data ingestion| transformation| and integration workflows using Python| SQL| and modern data engineering frameworks.

Work with Google Cloud Platform (GCP) services| including Cloud Storage| Dataflow| PubSub| BigQuery| Cloud Spanner and Cloud Functions

Experience building data pipelines or backend data workflows using Python or similar languages

We are looking for a Data Engineer with at least 1 year of hands-on experience building solutions on Snowflake. The candidate should be comfortable designing, building, and managing reliable data pipelines that move data from multiple sources into a central data platform.

Responsibilities

• Build and maintain data pipelines for ingesting, transforming, and loading data into Snowflake
• Design scalable data models, schemas, tables, and views in Snowflake
• Develop ETL/ELT workflows using SQL, Python, or data orchestration tools
• Integrate data from APIs, databases, files, and third-party platforms
• Monitor pipeline performance, failures, data quality, and freshness
• Optimize Snowflake queries, warehouses, storage, and compute usage
• Implement incremental loads, change data capture, and scheduled workflows
• Work with engineering and business teams to understand data requirements
• Maintain documentation for pipelines, datasets, and data transformations

Requirements

• 1+ year of hands-on experience working with Snowflake
• Strong SQL skills and experience writing complex queries
• Experience building and managing ETL or ELT data pipelines
• Knowledge of data warehousing concepts, dimensional modelling, and data quality
• Experience with Python or another scripting language
• Familiarity with orchestration tools such as Airflow, Dagster, Prefect, dbt, or similar
• Understanding of APIs, relational databases, file formats, and cloud storage
• Ability to troubleshoot pipeline failures and performance issues
• Strong analytical, problem-solving, and communication skills

Good to Have

• Experience with dbt and Snowflake Tasks, Streams, Snowpipe, or Dynamic Tables
• Knowledge of AWS, Azure, or Google Cloud
• Experience with Kafka or other streaming platforms
• Familiarity with CI/CD, Git, monitoring, and data governance practices
• Experience integrating ERP, finance, or operational systems

[Please refrain from applying if you have over 10 years of experience. This is a hands-on role that requires building from the ground up.]

Location: Bengaluru (In-Office)

Employment Type: Full-Time

About Logikality

Logikality is building an AI-native mortgage intelligence platform for the U.S. mortgage industry. We are reimagining how mortgage operations are executed by combining AI, workflow automation, and domain expertise to solve one of the most document-intensive and decision-heavy industries in the world.

Our platform goes beyond document extraction. We are building AI systems that understand mortgage files, reason across multiple sources of information, identify risks and exceptions, support underwriting and quality control decisions, and continuously improve through expert feedback and rigorous evaluation.

As we expand our AI capabilities, we are looking for a Director, AI Engineering to define and drive the research direction behind our next generation of intelligent systems.

About the Role

This is a hands-on technical leadership role for someone who enjoys solving difficult AI problems and turning research into production impact.

You will lead the research agenda across large language models, reasoning systems, agentic AI, multimodal learning, and intelligent decision support while working closely with engineering, product, and mortgage domain experts. You will prototype new ideas, validate them through rigorous experimentation, and help productionize solutions that directly improve customer outcomes.

This role is ideal for someone with deep research expertise who enjoys building real-world AI systems rather than research for its own sake.

What You'll Do

• Define and execute the Applied AI research roadmap aligned with company and product goals.
• Design novel approaches for document understanding, reasoning, planning, retrieval, and decision support.
• Build agentic AI systems capable of orchestrating tools, workflows, and domain knowledge to solve complex mortgage use cases.
• Develop multimodal AI models that combine documents, structured data, images, and operational context.
• Lead research on long-context reasoning, knowledge integration, memory, retrieval-augmented generation (RAG), and workflow automation.
• Design robust evaluation frameworks, benchmarks, and automated testing pipelines to measure model quality, reliability, explainability, and business impact.
• Rapidly prototype, experiment, and iterate on new AI techniques, evaluating state-of-the-art research for production adoption.
• Work closely with software engineers to translate research prototypes into scalable, production-ready systems.
• Mentor AI engineers and contribute to building a strong research culture within the organisation.
• Collaborate with mortgage domain experts to deeply understand operational workflows, compliance requirements, and decision-making processes.
• Stay current with advances in AI research and identify opportunities to leverage emerging techniques within our platform.
• Represent Logikality in customer interactions, strategic discussions, industry conferences, and business forums, communicating our AI vision, gathering market insights, and helping shape research priorities through direct engagement with customers and ecosystem partners.

What We're Looking For

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline; or an engineering degree in Computer Science or related disciplines from a premier engineering institution (e.g., IITs, IISc, NITs, BITS Pilani, or top-tier global universities).
• 3–8 years of professional experience in Applied AI, Machine Learning, or AI Research, with experience building production-grade AI systems
• Strong expertise in modern AI, including Large Language Models, transformers, agentic AI, reasoning systems, retrieval, multimodal learning, or adjacent areas.
• Strong software engineering skills with Python and modern machine learning frameworks.
• Experience designing and implementing production-grade AI systems that solve complex real-world problems.
• Strong understanding of model evaluation, benchmarking, experimentation, and AI system reliability.
• Experience balancing research innovation with engineering pragmatism and product delivery.
• Excellent problem-solving and communication skills with the ability to collaborate across engineering, product, and business teams.

Why Join Logikality?

At Logikality, you'll work on problems that require genuine reasoning, not just text generation. You'll help build AI systems that understand complex documents, synthesise information across workflows, explain decisions, identify exceptions, and improve through continuous learning and expert feedback.

This is an opportunity to work at the intersection of cutting-edge AI research and real-world impact, where your ideas won't remain as papers or prototypes; they'll power intelligent systems used every day by mortgage professionals. We are looking for someone who can connect AI, platform engineering, product thinking and customer outcomes.

For the right person, this could develop into a CTO and co-founder track over the next 6–9 months, based on contribution, technical leadership and mutual fit.

Interested candidates are requested to apply via the Google Form given: https://forms.gle/jFqKzfLhNCcCFU5t9

This will be a full-time in-office role based in Bangalore. Immediate joiners are preferred.

About the Role

We are looking for an exceptionally strong AI Product Engineer who is passionate about building AI-powered products that solve real-world problems. You will work on designing, developing, and deploying intelligent backend systems powered by Large Language Models (LLMs), modern AI frameworks, and scalable Python services.

This role is ideal for engineers who enjoy solving complex problems, have a strong foundation in algorithms and logical reasoning, and are excited to build production-grade AI applications.

Responsibilities

• Design and develop scalable backend services using Python.
• Build AI-powered features leveraging Large Language Models (LLMs) and modern AI frameworks.
• Develop APIs and backend architectures for AI applications.
• Optimize AI workflows for performance, latency, and scalability.
• Work closely with Product, Design, and Engineering teams to translate business requirements into technical solutions.
• Design prompt engineering workflows, RAG pipelines, AI agents, and automation solutions.
• Solve complex algorithmic and system design challenges.
• Write clean, maintainable, and well-tested code.
• Continuously evaluate emerging AI technologies and integrate them into products where appropriate.

Required Skills

• Strong proficiency in Python Backend Development.
• Excellent understanding of Data Structures & Algorithms.
• Hands-on experience with Large Language Models (LLMs) such as OpenAI, Claude, Gemini, or open-source models.
• Strong logical reasoning and analytical problem-solving abilities.
• Experience building REST APIs using frameworks such as FastAPI, Flask, or Django.
• Understanding of prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG).
• Familiarity with Git, Docker, and cloud deployment.
• Ability to write efficient, scalable, and production-quality code.

Preferred Qualifications

• B.Tech/M.Tech from IITs, BITS Pilani, or NITs (preferred).
• Experience working on AI products deployed in production.
• Familiarity with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.
• Knowledge of SQL/NoSQL databases.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Exposure to CI/CD pipelines and containerized deployments.

Experience

• 1+ years of professional software development experience with a focus on Python and AI/ML applications.

What We're Looking For

• Strong first-principles thinker with exceptional logical reasoning.
• Passion for building AI-first products from idea to production.
• Ability to work in a fast-paced startup environment with high ownership.
• Curiosity to experiment with the latest advancements in AI and rapidly translate them into customer value.

Compensation

• CTC: ₹16–17 LPA (based on experience and technical evaluation).

If you are excited about building cutting-edge AI products and want to work on challenging engineering problems with a high-impact team, we'd love to hear from you.

Position: Python Developer – Flask

Experience: 3+ Years

Location: Bangalore

Joining: Immediate Joiner Preferred

Employment Type: Full-Time

About the Role

We are looking for a skilled and passionate Python Developer with strong experience in Flask framework to join our growing development team. The ideal candidate should have hands-on experience in developing scalable backend applications, REST APIs, and integrating databases/services in a fast-paced environment.

Key Responsibilities

Develop, test, and maintain backend applications using Python and Flask.

Design and build RESTful APIs for web and mobile applications.

Collaborate with frontend developers, QA teams, and product stakeholders.

Write reusable, scalable, and efficient code.

Integrate third-party APIs and services.

Optimize application performance and troubleshoot issues.

Work with databases and ensure data security and integrity.

Participate in code reviews and technical discussions.

Maintain proper documentation for development activities.

Required Skills

3+ years of experience in Python development.

Strong hands-on experience with Flask framework.

Good understanding of REST API development.

Experience with MySQL/PostgreSQL/MongoDB databases.

Familiarity with ORM libraries such as SQLAlchemy.

Knowledge of Git/version control systems.

Understanding of software development lifecycle and agile methodologies.

Basic understanding of Docker and deployment processes is an added advantage.

Good debugging and problem-solving skills.

Preferred Skills

Experience with AWS/Azure or cloud platforms.

Exposure to microservices architecture.

Familiarity with CI/CD pipelines.

Knowledge of frontend technologies like React or Angular is a plus.

Educational Qualification

Bachelor’s degree in Computer Science, Information Technology, or related field.

What We’re Looking For

Immediate joiner or candidates with short notice period.

Strong communication and teamwork skills.

Self-driven and proactive mindset

Location: Bengaluru (Work from Office – 6 Days a Week)

About the Role

We're looking for a Software Development Engineer III (SDE-3) to join our growing engineering team. We're seeking engineers who have previously built, scaled, or significantly contributed to applications serving 100K+ users. You'll be joining a small, high-impact team, so we're looking for engineers who thrive on ownership, move quickly, and enjoy solving challenging technical problems.

We are technology agnostic and value strong engineering fundamentals over expertise in any particular language or framework. Whether your background is Backend, Frontend, or Full Stack, we'd love to hear from you.

What You'll Do

• Design, develop, and maintain scalable, reliable, and high-performance applications.
• Build robust, production-ready software that delivers exceptional user experiences.
• Take end-to-end ownership—from design and development to deployment and production support.
• Work closely with Product, Design, and Engineering to deliver impactful features.
• Write clean, maintainable, and well-tested code following engineering best practices.
• Leverage AI-assisted development tools (such as GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar) to improve development speed, code quality, debugging, testing, and overall engineering productivity.
• Participate in architecture and design discussions, balancing scalability with simplicity.
• Troubleshoot production issues and continuously improve system performance and reliability.
• Contribute to a collaborative engineering culture through code reviews and knowledge sharing.

Must-Have Qualifications

• 4–6 years of professional software development experience.
• Strong proficiency in at least one high-level programming language, such as Python, Go (Golang), C#, JavaScript/TypeScript, Kotlin, Scala, or Ruby.
• Strong understanding of Data Structures, Algorithms, Object-Oriented Programming, and System Design.
• Hands-on experience building, scaling, or maintaining production applications with a user base of 100K+ users.
• Proven experience working on high-traffic, large-scale consumer or B2B products where performance, reliability, and scalability were critical.
• Experience developing modern Backend, Frontend, or Full Stack applications.
• Strong understanding of APIs, databases, and scalable application architecture.
• Demonstrated ability to effectively use AI coding assistants to accelerate software development while maintaining high standards of code quality and engineering best practices.
• Excellent problem-solving skills and a strong sense of ownership.

Preferred Qualifications

• Experience working on platform or infrastructure products is highly preferred.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Familiarity with microservices, distributed systems, CI/CD, and containerization.
• Experience working in product companies or fast-paced startup environments.

Who You Are

• You enjoy working in small, fast-moving teams where every engineer has significant ownership.
• You're comfortable wearing multiple hats and contributing across different parts of the stack when needed.
• You've previously worked on products operating at scale and understand the engineering challenges of supporting 100K+ active users, including performance optimization, reliability, and scalability.
• You have a product mindset and care deeply about performance, scalability, and user experience.
• You're a proactive problem solver who enjoys taking initiative and driving projects independently.
• You embrace modern engineering practices, including the effective use of AI tools to enhance productivity without compromising software quality.
• You value collaboration, continuous learning, and building high-quality software.

Why Join Us?

• Join a high-impact engineering team with significant ownership and autonomy.
• Solve challenging engineering problems with a focus on performance, scalability, and reliability.
• Collaborate with talented engineers in a fast-paced, product-driven environment.
• Build software that directly impacts thousands of users while accelerating your technical growth.

Company Overview:

Euphoric Thought Technologies is a technology-driven firm focused on building scalable software solutions that streamline complex business processes. Operating at the intersection of data engineering and cloud infrastructure, the company serves a diverse portfolio of clients across the fintech and enterprise SaaS sectors. With a culture rooted in technical excellence and agile problem-solving, Euphoric Thought Technologies empowers its engineers to own their modules from conception to deployment, fostering an environment where high-impact code is the primary driver of growth.

Role Overview:

As a Python Developer specializing in Flask, you will be responsible for architecting and maintaining robust backend services that power our core platforms. You will work closely with cross-functional teams, including product managers and frontend engineers, to translate business requirements into high-performance API endpoints. Your daily contributions will directly influence the scalability and reliability of our applications, ensuring that our users experience seamless performance even as our data volume and traffic continue to grow.

Key Responsibilities:

- Design and implement scalable RESTful APIs using the Flask framework to support high-traffic web applications.

- Optimize database queries and schema designs in SQL to ensure low-latency data retrieval for complex reporting modules.

- Deploy and manage backend services on AWS infrastructure, ensuring high availability and efficient resource utilization.

- Collaborate with the engineering team to conduct rigorous code reviews, maintaining high standards for code quality and maintainability.

- Troubleshoot and resolve production-level bottlenecks to improve the overall stability of the application ecosystem.

- Integrate third-party services and internal microservices to expand the functionality of our existing product suite.

Required Skillset:

- Demonstrated expertise in building production-grade applications using Python and the Flask framework with 3 to 5 years of professional experience.

- Strong proficiency in writing complex SQL queries and managing relational databases to support data-intensive operations.

- Hands-on experience with AWS cloud services, including EC2, RDS, and S3, for deploying and scaling backend infrastructure.

- Ability to communicate technical concepts clearly to non-technical stakeholders and work effectively in a collaborative, team-oriented environment.

- Strong analytical mindset with the ability to debug complex issues and provide long-term architectural solutions.

- Comfortable working in a hybrid office environment in Bangalore, demonstrating the ability to manage tasks independently while staying aligned with team goals.

- A degree in Computer Science, Engineering, or a related field is preferred, though equivalent professional experience is highly valued.

Software Development Engineer

📍 Bangalore (On-site) · Reporting to the CTO · 2–7 years experience

We're hiring a Software Development Engineer to build the systems that keep real-world operations running - from customer-facing products to the internal tools field teams rely on every morning. If you want your code to matter to people standing in a warehouse or walking a route, not just to a dashboard, read on.

What you'll do

• Design, build, and ship across the stack: backend services, APIs, mobile and web field apps, and operational dashboards
• Build the systems that run daily operations: deployment, attendance, check-in/check-out, work verification, and issue resolution
• Make products work where the network doesn't — offline-first and vernacular-first experiences built for field-heavy, low-connectivity conditions
• Own features end to end, from design discussions to deployment to on-call
• Work shoulder to shoulder with Product, Ops, and field users to solve what's actually happening on the ground
• Contribute to the data pipelines and analytics that power planning, forecasting, and unit economics

What we're looking for

• 2–7 years building and shipping production software
• Comfortable across the stack, or deep in one area and eager to stretch
• A strong ownership mindset — you ship, you debug production issues at odd hours, and you care whether it actually works for the user
• Pragmatic with trade-offs, able to balance speed against quality without losing either
• Bonus: experience building for low-bandwidth, offline-first, next-billion-user contexts

The impact that you will be making

• Drive end-to-end automation strategy by transforming manual test cases into scalable, maintainable automated suites using the inbuilt framework.
• Ensure seamless integration of automated tests into the CI/CD pipeline, enabling faster releases with improved quality and reliability.
• Enhance the stability and efficiency of regression suites, reducing execution time and minimizing flaky tests.
• Continuously improve and evolve the automation framework, introducing reusable components and best practices for long-term scalability.
• Leverage strong SQL and data validation skills to ensure data accuracy and support faster root cause analysis.
• Bring in performance testing practices using tools like JMeter/LoadRunner to identify bottlenecks and improve system performance under load.
• Contribute to API and end-to-end testing coverage, ensuring robust validation across UI, backend, and integrations.
• Analyze, debug, and troubleshoot automation scripts to improve reliability and reduce maintenance overhead.
• Collaborate closely with engineering and product teams to shift quality left and embed testing early in the development lifecycle.
• Mentor and guide team members, fostering a quality-driven culture and improving overall team capability.
• Drive continuous improvement by adopting new tools, technologies, and innovative approaches aligned with AI-driven and modern testing practices.

What lands you in this role

• Minimum 8-11 years’ hands-on experience in automation testing.
• Experience of working in Python.
• Solid SQL skills - Should be able to write complex queries with ease.
• Experience of working on any testing frameworks such as Playwright, Selenium, Cypress.
• Experience of working on any Performance testing tools like JMeter, Load Runner etc.
• Good to have knowledge on API testing with tools like Postman, Insomnia etc.
• Experience of working in a well-designed CI/CD environment is mandatory.
• Experience in automating test scenarios and integrating them into the CI/CD environment.
• Experience in automating complex web based applications.
• Ability to analyze and troubleshoot scripts.
• Should possess a high ownership mindset.
• Should have strong aptitude, can think independently and possess problem solving skills.
• Ability to learn new technologies and quickly adapt to new situations.
• BE/BTech in computer science or equivalent technical education

What we offer

• An opportunity to develop some of the best enterprise SaaS products to be built out of India
• Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions
• A flat, collegial work environment, with a work hard, play hard attitude
• A platform for rapid growth if you are willing to try new things without fear of failure.
• Remuneration with best in class industry standards with generous health insurance cover.

Some of our accolades include:

• Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.
• Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.
• Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.
• Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

SENIOR PYTHON DEVELOPER

Designation: Senior Python Django Developer 

Position: Senior Python Developer

Job Types: Full-time, Permanent

Pay: Up to ₹800,000.00 per year

Schedule: Day shift (On-site)

Supplemental Pay: Performance bonus, Yearly bonus

Ability to commute/relocate:  JP Nagar, Bangalore: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred)

Experience: Back-end development: 5 years (Required)

Job Description:

We are looking for a highly skilled Senior Python Django Developer with extensive experience in building and scaling financial or payments-based applications. The ideal candidate has a deep understanding of system design, architecture patterns, and testing best practices, along with a strong grasp of the startup environment.

This role requires a balance of hands-on coding, architectural design, and collaboration across teams to deliver robust and scalable financial products.

Responsibilities:

• Design and develop scalable, secure, and high-performance applications using Python (Django framework).
• Architect system components, define database schemas, and optimize backend services for speed and efficiency.
• Lead and implement design patterns and software architecture best practices.
• Ensure code quality through comprehensive unit testing, integration testing, and participation in code reviews.
• Collaborate closely with Product, DevOps, QA, and Frontend teams to build seamless end-to-end solutions.
• Drive performance improvements, monitor system health, and troubleshoot production issues.
• Apply domain knowledge in payments and finance, including transaction processing, reconciliation, settlements, wallets, UPI, etc.
• Contribute to technical decision-making and mentor junior developers.

Requirements:

• 5 to 10 years of professional backend development experience with Python and Django.
• Strong background in payments/financial systems or FinTech applications.
• Proven experience in designing software architecture in a microservices or modular monolith environment.
• Experience working in fast-paced startup environments with agile practices.
• Proficiency in RESTful APIs, SQL (PostgreSQL/MySQL), NoSQL (MongoDB/Redis).
• Solid understanding of Docker, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure).
• Hands-on experience with test-driven development (TDD) and frameworks like pytest, unit test, or factory boy.
• Familiarity with security best practices in financial applications (PCI compliance, data encryption, etc.).

Preferred Skills:

• Exposure to event-driven architecture ( 
• Experience integrating with third-party payment gateways, banking APIs, or financial instruments.
• Understanding of DevOps and monitoring tools (Prometheus, ELK, Grafana).
• Contributions to open-source or personal finance-related projects.
•  

Job Summary

We are seeking a highly skilled GCP Data Engineer with strong expertise in Google Cloud Platform (GCP), Python, ETL, and modern data engineering technologies. The ideal candidate should have hands-on experience designing and building scalable data pipelines using BigQuery, Dataflow, Pub/Sub, Airflow, and modern data lake technologies such as Apache Iceberg or Delta Lake.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform.
• Build and optimize data processing workflows using Python and Google Cloud Dataflow (Apache Beam).
• Develop and manage large-scale analytical data models in BigQuery.
• Implement event-driven data ingestion using Google Cloud Pub/Sub.
• Create, schedule, and monitor workflows using Apache Airflow and Autosys.
• Design and implement modern data lake architectures using Apache Iceberg or Delta Lake.
• Optimize query performance, storage, and compute costs in GCP.
• Ensure data quality, governance, security, and compliance across data platforms.
• Collaborate with Data Scientists, Analysts, and Application teams to deliver scalable data solutions.
• Troubleshoot production issues and continuously improve pipeline reliability and performance.

Mandatory Skills

• Strong hands-on experience with Google Cloud Platform (GCP).
• Proficiency in Python programming.
• Experience in designing and implementing ETL/ELT pipelines.
• Strong knowledge of BigQuery.
• Experience with Google Cloud Dataflow (Apache Beam).
• Experience with Google Cloud Pub/Sub.
• Hands-on experience with Apache Airflow.
• Experience in job scheduling using Autosys.
• Experience with modern table formats such as Apache Iceberg or Delta Lake.
• Strong SQL and data modeling skills.

Preferred Skills

• Experience with Cloud Storage, Dataproc, Cloud Composer, and Cloud Functions.
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience with Docker and Kubernetes.
• Familiarity with Git and Agile/Scrum methodologies.
• Knowledge of data warehousing and dimensional modeling.
• Exposure to streaming and real-time data processing.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• 4–8+ years of experience in Data Engineering with hands-on expertise in GCP technologies.

Required Experience

• Strong experience in developing enterprise-grade data pipelines using Python and GCP.
• Hands-on experience with BigQuery, Dataflow, Pub/Sub, and Airflow.
• Experience scheduling and monitoring batch workflows using Autosys.
• Experience implementing modern data lake architectures using Apache Iceberg or Delta Lake.
• Strong understanding of ETL best practices, performance tuning, and data optimization.
• Excellent analytical, troubleshooting, and problem-solving skills.

Mandatory Skills

• Google Cloud Platform (GCP)
• Python
• ETL
• BigQuery
• Autosys
• Apache Airflow
• Google Cloud Pub/Sub
• Google Cloud Dataflow (Apache Beam)
• Apache Iceberg / Delta Lake
• SQL & Data Modeling

Key Responsibilities

·      Design, build, and maintain efficient, reusable, and reliable Python automation scripts.

·      Consume, integrate, and manage external services using APIs (CRUD operations, JSON parsing).

·      Read, comprehend, and debug existing code to identify bottlenecks and fix bugs.

·      Interact with databases using SQL to extract and manipulate required data.

·      Maintain source code quality through Git version control and participate in code review workflows.

·      Clearly communicate logic, architectural choices, and technical roadblocks to the team.

Skill Requirements & Competencies

Non-Negotiable Skills

·      Aptitude & Logical Problem Solving: Exceptional ability to break down complex problems. The ability to explain the logic behind your code is strictly required.

·      Core Python Mastery: Deep understanding of decorators (e.g., writing execution time loggers), list/dictionary comprehensions, and advanced string operations. (would be good to know packages such as heapq or equivalent which aids problem solving using pre implemented data structures).

·      Concurrency & Parallelism: Practical experience with asyncio, multithreading, and multiprocessing, including knowing exactly when and why to use each.

·      APIs & Data Handling: Proven experience calling endpoints, parsing JSON data, and working with any standard API framework (e.g., FastAPI, Flask, Django REST).

·      SQL Database Skills: Intermediate ability to write SQL queries to fetch, filter, and manipulate data. NoSQL exposure is a good to have.

·      Code Comprehension & Debugging: Ability to jump into an existing codebase, understand its flow, and efficiently troubleshoot bugs.

·      Strong Communication: Must be able to articulate technical concepts, code, approach etc. clearly to both technical and non-technical stakeholders.

Intermediate Skills

·      Version Control (Git): Competent in creating/modifying repositories, branching, committing, pushing, and managing Pull Requests.

·      Command Line / Scripting: Intermediate proficiency in Bash/Shell scripting for environment navigation and basic OS-level automation.

We are looking for a skilled Python & PySpark Developer with strong expertise in Big Data technologies, Spark, SQL/PL-SQL, and REST API development using Flask or Django. The ideal candidate should have experience building scalable data pipelines, processing large datasets, developing APIs, and working with distributed computing frameworks.

Key Responsibilities

• Develop, optimize, and maintain scalable data pipelines using PySpark and Apache Spark.
• Design, develop, and optimize complex SQL and PL/SQL queries, stored procedures, functions, and database objects.
• Build and maintain RESTful APIs using Flask or Django.
• Develop robust Python applications for data engineering and backend services.
• Process and analyze large-scale datasets using Big Data technologies.
• Optimize Spark jobs for performance, scalability, and reliability.
• Integrate APIs with internal and external systems.
• Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Application Developers.
• Troubleshoot production issues and implement performance improvements.
• Follow coding standards, version control, and CI/CD best practices.

Mandatory Skills

• Strong proficiency in Python programming.
• Hands-on experience with PySpark and Apache Spark.
• Strong SQL coding skills.
• Experience with PL/SQL development.
• Experience in Big Data ecosystem.
• REST API development using Flask or Django.
• Experience in developing and consuming Python APIs.
• Knowledge of data processing, ETL, and distributed computing.
• Experience with Git/version control.

Preferred Skills

• Experience with Hadoop ecosystem (Hive, HDFS, YARN).
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Airflow or other workflow orchestration tools.
• Experience with Docker and Kubernetes.
• Familiarity with Kafka or other streaming technologies.
• Understanding of CI/CD pipelines.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 4–8+ years of experience in Python and Big Data development (can be adjusted based on the role).

Required Experience

• Strong hands-on experience in Python, PySpark, and Apache Spark.
• Extensive experience writing optimized SQL and PL/SQL code.
• Experience developing REST APIs using Flask or Django.
• Experience working with large-scale data processing and ETL pipelines.
• Strong analytical, debugging, and problem-solving skills.

Mandatory Skills: Python, PySpark, SQL Coding, Apache Spark, Big Data, Flask/Django (REST API), PL/SQL, Python APIs.

Agent Application Engineer (Backend / Agentic AI) — Level 1

About Sentiaflow

Sentiaflow is an AI engineering and IT services company that designs and delivers production-grade agentic AI systems. We work at the point where large language models meet real business operations: data, APIs, permissions, workflow state, human decisions, security, evaluation, and measurable outcomes.

Our initial domain focus is healthcare, particularly clinical trials and related operational workflows. These are environments where an impressive demo is not enough. A system must be dependable, traceable, appropriately controlled, and clear about when a human must make the decision.

We are building a specialised engineering organisation across three disciplines:

• Agent Application Engineering
• Agent Platform & Evaluation Engineering
• Applied AI & Model Engineering

The Role

We are hiring strong backend or application engineers who want to specialise in building agentic AI applications. You do not need to arrive with several years of "agent engineer" experience. We are more interested in whether you have built real software, understand how production systems fail, and can learn to use models inside controlled business workflows.

As a Level 1 Agent Application Engineer, you will implement bounded parts of a production workflow under the guidance of an Agent Captain or senior engineer. Your work will connect models to application services, tools, data sources, and human approval points. You will be expected to make every important step observable, testable, and recoverable.

This is not a prompt-writing position, and it is not a generic chatbot role. It is an application engineering role for systems in which some decisions are probabilistic, while the surrounding controls must remain deterministic.

What You Will Work On

The specific client problem will vary, but typical work may include:

• Converting a clinical-operations signal into a bounded workflow that gathers evidence, analyses likely causes, presents options, and routes a recommendation to an authorised person.
• Building services that extract or structure information from trial documents and pass the result through validation and human review.
• Integrating agent workflows with internal APIs, databases, document systems, notification services, and client platforms.
• Implementing workflow state, recovery behaviour, approval gates, permissions, traceability, and scenario-based evaluations.

The work concerns operational decision support and workflow execution. It does not delegate clinical judgment or patient-care decisions to an autonomous model.

What You Will Be Responsible For

• Translate a clearly scoped business workflow into typed inputs, outputs, states, actions, and escalation paths.
• Build reliable application services and tool integrations using Node.js/TypeScript or Python.
• Use an LLM only where model judgment adds value; implement rules, validation, authorisation, and workflow control in deterministic code.
• Design structured model outputs and validate them before they can affect downstream systems.
• Handle partial data, unavailable tools, duplicate events, retries, time-outs, rate limits, and other normal production failure modes.
• Add logging, traces, metrics, and decision records that make the workflow diagnosable.
• Create tests and evaluation cases that measure whether the complete workflow behaves correctly—not merely whether an answer sounds fluent.
• Protect sensitive information and participate in code, design, failure-analysis, and release-readiness reviews.
• Explain your implementation and its trade-offs clearly to engineers, delivery leads, and client stakeholders.

At Level 1, you will not be expected to define the entire client architecture alone. You will be expected to own your assigned module, ask precise questions, surface risks early, and bring it to a production-ready standard with senior review.

What We Are Looking For

Essential Experience

• Approximately 3–6 years of hands-on backend or application engineering experience.
• Evidence that you have built or materially owned production APIs, services, data flows, integrations, or workflow-heavy applications.
• Strong programming ability in JavaScript/TypeScript, Python, Java, C#, Go, or a comparable backend language. Our preference is Node.js/TypeScript, but engineering depth matters more than language loyalty.
• Practical understanding of API design, databases, asynchronous processing, authentication and authorisation, testing, and deployment.
• Ability to reason clearly about state, retries, idempotency, concurrency, permissions, audit trails, and failure recovery.
• Experience debugging real production behaviour rather than only building greenfield demonstrations.
• Clear written and verbal communication, including the ability to explain technical trade-offs without hiding behind framework terminology.

Useful, but Not Mandatory

• Experience integrating LLM or machine-learning capabilities into an application.
• Experience with event-driven systems, state machines, workflow engines, observability, evaluation harnesses, or production incident analysis.
• Experience in healthcare, life sciences, clinical trials, or another regulated or audit-sensitive environment.

Healthcare or clinical-trials experience is preferred, not required at Level 1. We would rather hire a strong production engineer who can learn the domain than a candidate who knows the vocabulary but cannot build dependable systems.

What Does Not Qualify by Itself

Any of the following may be useful experience, but none is sufficient on its own:

• A chatbot or "chat with your documents" application.
• A RAG demonstration built primarily by connecting frameworks.
• A list of AI tools, model names, courses, certificates, or prompt-engineering techniques.
• An application that works in a demo but has no clear handling of permissions, failures, evaluation, or production operations.

How We Will Assess Fit

Our evaluation is designed to identify engineering judgment without asking you to build unpaid project work. We will focus on:

• A structured discussion of a production system you have worked on.
• Questions grounded in your own CV and claimed experience.
• A realistic workflow scenario covering system boundaries, evidence, controls, failure modes, and testing.
• Backend fundamentals and how you would apply them to an AI-enabled workflow.

You are NOT expected to have built a clinical-trials agent before applying.

What Success Looks Like

Within your first six months, you should be able to:

• Implement a bounded agent-workflow module from an agreed design and take responsibility for its quality.
• Integrate models and tools without allowing probabilistic output to bypass deterministic controls.
• Produce traces, tests, and evaluation evidence that support a release decision.
• Diagnose failures across application, tool, data, and model boundaries with progressively less supervision.
• Explain the workflow to a client or domain stakeholder in clear operational language.

Consistent performance at this level creates a path towards Level 2 — Independent Delivery Engineer, where you own a production workflow end to end, including discovery, architecture, integrations, evaluation, failure handling, and release readiness.

Why You Should Join Us

• Build the real systems behind agentic AI. You will work beyond demos and wrappers on the engineering problems that determine whether an AI workflow can operate in production.
• Develop a scarce, durable specialisation. Sentiaflow offers a defined progression across application engineering, platform and evaluation, and applied AI—not a vague instruction to "learn AI."
• Work on consequential operational problems. Clinical-trials workflows demand evidence, traceability, human accountability, and reliable execution.
• Learn through delivery with experienced review. You will own meaningful engineering work while receiving architectural and domain guidance appropriate to your level.
• Influence how the discipline is built. We are at an early stage, so strong engineers will help shape our methods, reusable assets, quality standards, and engineering culture.

About the Role

CLOUDSUFI, a Google Premium Partner specializing in data and AI solutions, is seeking a Staff / Principal Tech Lead to drive the technical execution of our Google Data Commons program. This is a high-visibility, horizontal leadership role embedded within the Google ecosystem — based physically at Google's Bangalore office — working in close daily collaboration with Google's core Data Commons engineering team. The Tech Lead is the technical spine of the engagement. They sit across all four delivery areas — Data Engineering, Frontend, ML/AI, and DevOps/Infrastructure — providing architectural direction, resolving cross track dependencies, and ensuring the quality and coherence of everything we ship. Equally critical is the ability to represent CloudSufi in a credible, articulate, and collaborative manner to Google counterparts at every level.

This is a genuinely hands-on role: the successful candidate must be able to write, debug, and reason about Python and GCP code themselves — not only direct others or lean on AI coding assistants — and must be comfortable operating in an open-source, public-data environment without relying, for example, on Google internal (google3) tooling.

Technology Stack & Domain Knowledge

Core / Must-Have

• Relevant experience on Knowledge Graph, Statistical Data and Analytics (any experience with Google Data Commons is a nice to have, but not required)

• Google Cloud Spanner – schema design, distributed transactions, interleaved tables, and performance tuning at scale.

• Google BigQuery – data modeling, partitioning/clustering strategies, query optimization, and integration with downstream consumers.

• Data pipelines – Apache Beam / Dataflow, or equivalent GCP-native ETL tooling.

• Infrastructure as Code – Terraform on GCP; Cloud Build, Artifact Registry, GKE or Cloud Run.

• Demonstrable, autonomous hands-on proficiency in Python and native GCP tooling — able to code and debug independently in a live technical discussion, with AI-assisted development as a complement to (not a replacement for) that proficiency.

• Direct experience working with open, public, and unstructured datasets (e.g. sourcing, cleaning, and integrating public statistics or open data feeds) using open-source or standard GCP-native tooling.

• Solid grounding in knowledge graph vs data warehouse principles, and how to design for schema and data drift in an open-source knowledge graph context.

• CI/CD experience and working with GitHub

• Full stack experience, specially with data centric apps/systems Strong Advantage

• Python (primary language for Data Commons import tooling and ML pipelines).

• TypeScript / React for the Data Commons web frontend and visualization layers.

• Vertex AI, BigQuery ML, or equivalent ML lifecycle tooling.

• Knowledge graph principles, RDF/SPARQL, or statistical data modeling.

• DataCommons Python / REST APIs and the DCID import automation tools.

• Experience with Google's internal engineering culture, tools (e.g. Buganizer, Critique, Cider), or prior delivery inside a Google product or partnership engagement.

Experience & Qualifications Required

• 10+ years of software engineering experience, with at least 3 years in a formal or informal tech lead capacity overseeing multiple workstreams.

• Demonstrable experience delivering production-grade systems on Google Cloud Platform.

• Prior experience working with or for Google — as a Googler, through a Google partnership program, or as a contractor embedded in a Google team — is strongly preferred.

• Exceptional verbal and written English communication skills; able to engage confidently with senior Google engineers and program managers.

• Proven ability to operate across ambiguous, fast-moving programs with multiple parallel tracks.

• Based in Bangalore, India, and able to work on-site at Google's Bangalore office on a regular basis.

• Able to read and interpret an RFP / SOW and connect its terms to a workable technical delivery plan. 

Key Responsibilities

Data Modeling & Power BI Development

Design, develop, and maintain high-performance Power BI dashboards and reports.

Build robust, scalable data models using **advanced DAX (Data Analysis Expressions)** to implement complex business logic, time-intelligence calculations

Optimize existing reports and data models for speed, efficiency, and scalability.

Advanced Data Extraction & Transformation

Write, optimize, and debug **complex SQL queries** (including subqueries, CTEs, window functions, and advanced joins) to extract data from various enterprise data warehouses.

Ensure data integrity and consistency between source systems and front-end reports.

Required Technical Skills & Qualifications

Must-Haves (Non-Negotiable)

Power BI & DAX: Minimum of 1–3 years of hands-on experience building Power BI solutions. Deep understanding of evaluation contexts (Filter Context vs. Row Context) and complex DAX functions (CALCULATE, FILTER, ALL, EARLIER, and time-intelligence).

Expert SQL Skills: High proficiency in writing complex, optimized SQL queries. Must be comfortable handling large datasets, writing Common Table Expressions (CTEs), utilizing window functions (RANK, LEAD/LAG, PARTITION BY), and analyzing query performance.

Nice-to-Haves

Data Modeling: Strong understanding of relational database concepts, star/snowflake schemas, and data normalization/denormalization.

Familiarity with cloud data platforms like Snowflake, Azure Synapse, or AWS Redshift.

Basic knowledge of Python for data manipulation.

Soft Skills & Core Competencies

Problem-Solving: A natural curiosity to dig into data anomalies and find the root cause of discrepancies.

Communication: Ability to explain complex technical data constraints to non-technical business users clearly.

Attention to Detail: Precision in data validation to ensure business decisions are made on 100% accurate reporting.

About the Role

You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.

Key Responsibilities

• Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
• Design and optimize data models for AI and machine learning workloads.
• Develop reliable data foundations for MLOps, governance, and data lineage.
• Integrate data from multiple sources into modern data platforms.
• Leverage Snowpark ML and Snowflake's native AI capabilities.
• Ensure data platforms are secure, scalable, and high-performing.

What We're Looking For

• 5+ years of hands-on experience with Snowflake.
• Strong proficiency in SQL and Python.
• Experience with AWS, Azure, or GCP.
• Knowledge of cloud storage services such as S3, ADLS, or GCS.
• Strong understanding of Dimensional Modeling and Data Vault.
• Experience with Scala or Java is a plus.

Tech Stack

• Data Warehouse: Snowflake
• Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
• Cloud: AWS, Azure, GCP
• Storage: S3, ADLS, GCS
• AI/ML: Snowpark ML, MLOps

Perks & Benefits

• Public Speaking & Communication Program
• Mentoring Program with Senior Support Leads
• 360° Progress Reviews
• Weekly Learning Sessions & Guilds
• Paid Certifications
• Hackathons & Innovation Days
• Recognition & Rewards Programs
• Team Socials & Annual Offsites
• Employee Assistance Program (24/7 Wellbeing Support)

The Data People Shaping Tomorrow

Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.

Who are we :

Trendlyne is a funded, profitable products startup in the financial markets space. We have cutting-edge analytics products built for Indian and US customers, for stock markets and mutual funds.

Our founders are IIT + IIM graduates, with strong tech and marketing experience. We have top finance and management experts on the Board of Directors.

What do we do :

We build powerful analytics in the US and Indian stock market space that are best-in-class. Organic growth in B2B and B2C products has already made the company profitable. We deliver 1 billion+ APIs every month to B2B customers, and have a B2C website and app.

Experience: 3-6 years | Location: Bangalore (On-site)

Why This Role?

• Real scale, real problems - billions of rows of financial data, millions of API requests per hour, live market feeds.
• Cutting-edge product work - AI products, online backtesting engines, data visualization, and machine learning integrations.
• High ownership, low bureaucracy - small, senior team means your decisions matter and your work ships fast.
• Direct visibility - work closely with founders and product leads on features that reach hundreds of thousands of users.

Tech Stack:

Language: Python

Frameworks: Django / FastAPI / Flask

Databases: PostgreSQL / MySQL

What You'll Do:

• Design, develop, and maintain scalable backend systems capable of handling billions of rows of data and serving millions of API requests per hour
• Translate product requirements into robust system architecture - owning the full development lifecycle from requirement to release
• Collaborate closely with product managers and cross-functional teams to scope and deliver high-quality features that address real user needs
• Write clean, well-documented code and maintain technical documentation that enables other engineers to contribute efficiently
• Drive and participate in design and code reviews, ensuring engineering standards are upheld across the team
• Mentor junior developers, helping build a strong engineering culture within the team
• Contribute to and evolve best practices for backend development as the team and product scale.

What We're Looking For:

• 3-6 years of hands-on experience with Python and at least one of Django / FastAPI / Flask.
• Strong command of relational databases - PostgreSQL or MySQL - and experience optimising queries at scale.
• Solid understanding of Redis and caching strategies in high-throughput environments.
• Experience designing and building REST APIs that are performant, reliable, and maintainable.
• Ownership mindset - you build it, ship it, and take responsibility for it in production.
• Strong communication skills - ability to articulate technical decisions clearly to both engineers and non-technical stakeholders.
• Bonus: Familiarity with JavaScript, HTML, or CSS is a plus but not required.

Role Overview

We are seeking a highly skilled Senior Developer / Technical Lead with strong experience in marketing creative platforms and digital experience delivery. This role requires expertise in Sitecore, React.js, Node.js, Python, and FileMaker, along with proven leadership capabilities to guide development teams and deliver high-impact marketing solutions.

You will play a critical role in designing, developing, and leading the implementation of scalable, creative, and performance-driven digital experiences.

________________________________________

Required Skills & Qualifications

Technical Skills

• Strong experience with:

o Sitecore CMS (content modeling, personalization, pipelines, APIs)

o React.js (modern front-end ecosystem)

o Node.js (RESTful APIs, server-side applications)

o Python (automation, backend systems, scripting)

• Experience with FileMaker (development, customization, or integration)

• Proficiency in HTML5, CSS3, JavaScript/TypeScript

• Experience with API design, microservices architecture, and cloud platforms (AWS )

• Familiarity with CI/CD pipelines, DevOps practices, and version control (Git)

Technical Leadership

• Lead a team of developers, ensuring high-quality design, development, and delivery of solutions

• Provide architectural guidance and enforce best practices across front-end and back-end development

• Mentor junior/mid-level engineers and support team growth

• Ensure scalability, reliability, and security of solutions

Role Overview

We are seeking a highly skilled Operations Research (OR) and Optimization Engineer to design and develop an intelligent crew rostering optimizer for rail operations. The role involves applying advanced optimization techniques—including metaheuristics and mathematical programming—to generate efficient, compliant, and cost-optimized crew schedules. The candidate will also develop production-grade Python code for the optimizer and expose it via APIs for integration with operational systems.

This role combines algorithm design, applied optimization, and production software development.

Key Responsibilities

Optimization Model Design & Development

• Design and implement optimization models for rail crew rostering, considering operational, regulatory, and contractual constraints.
• Apply appropriate optimization techniques such as:
• Mixed Integer Linear Programming (MILP)
• Constraint Programming (CP)
• Metaheuristics (Genetic Algorithm, Simulated Annealing, Tabu Search, Large Neighborhood Search, etc.)
• Hybrid OR + metaheuristic approaches for large-scale optimization
• Model constraints including:
• Duty time limits, rest rules, and labor regulations
• Crew qualifications, route familiarity, and skill requirements
• Shift continuity, fairness, and crew preferences
• Coverage requirements and operational robustness
• Develop objective functions to optimize for cost, utilization, fairness, robustness, and operational efficiency.

Algorithm Engineering & Performance Optimization

• Design scalable and efficient optimization algorithms capable of handling real-world rail network scale.
• Implement solution heuristics and decomposition strategies to improve performance.
• Perform benchmarking, tuning, and performance optimization.

Python Development & API Integration

• Develop modular, production-quality Python code for the optimization engine.
• Expose optimizer functionality via REST APIs (using FastAPI, Flask, or similar frameworks).
• Ensure clean architecture, modular design, and extensibility.
• Package and deploy optimization services for integration with enterprise systems.

Integration & Deployment

• Integrate optimizer with upstream data systems and downstream applications.
• Support deployment in cloud or on-prem environments.
• Ensure robustness, logging, monitoring, and error handling.

Validation & Continuous Improvement

• Validate optimization outputs with domain stakeholders.
• Improve algorithms based on real-world operational feedback.
• Document models, assumptions, and system architecture.

Required Qualifications

Education

• Master's or PhD in one of the following:
• Operations Research
• Industrial Engineering
• Computer Science (with optimization focus)
• Applied Mathematics
• Transportation Engineering
• Artificial Intelligence (with optimization focus)

Technical Skills

Optimization & Algorithms

Strong hands-on experience with:

• Operations Research and optimization modeling
• Metaheuristics such as:
• Genetic Algorithms
• Simulated Annealing
• Tabu Search
• Large Neighborhood Search
• Variable Neighborhood Search
• Mathematical programming techniques:
• MILP, LP, CP

Experience with optimization tools such as:

• OR-Tools
• Pyomo
• PuLP
• Gurobi / CPLEX / CBC
• OptaPlanner (optional)

Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery,

manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention.

Here’s a link to our website: www.impactanalytics.co.

Impact Analytics builds AI-powered, Cloud-Native products and platforms. As we tackle increasingly complex backend challenges, we are looking for seasoned backend architects to collaborate with product and engineering teams in shaping the future of enterprise software.

Meet the Team: Rooted in AI and Engineering first principles, our cross-functional teams of ML and AI Engineers and Data Scientist thrive in a fast-paced, innovation-driven environment. We emphasize collaboration, continuous learning, and high-impact delivery. Our backend teams specialize in modern frameworks, data platforms, infrastructure engineering, DevOps practices, and scalable service architectures. Top performers are recognized, valued, and supported with ample growth opportunities.

Role Overview: This is a senior-level, individual contributor role focused on hands-on technical leadership in backend architecture. The role is centered around three core areas:

● Drive complex backend architecture initiatives that span across multiple engineering and technology domains.

● Lead strategic R&D efforts to evaluate new backend technologies, frameworks, and methodologies, and champion their adoption company-wide. ● Spearhead our Multi-Cloud & Hybrid-Cloud backend strategies, ensuring scalable, secure, and resilient architecture patterns.

What our ideal candidate may look like:

● 14+ years of software development experience, with at least 4 years as an Architect or Staff Engineer role, particularly in backend systems.

● A backend technology expert with in-depth, hands-on experience in building and scaling enterprise SaaS with distributed architecture, In depth knowledge of Rest and Event driven architecture with low latency and high-throughput in memory systems.

● Designing stateful backend to handle large data including message broker, distributed queue, caching. Good understanding of High Availability and Disaster recovery for the critical production system.

● In depth understanding of Async, Multi Threading and Multi Processing Architecture to ensure our system efficiently use the programming principle for higher concurrency support

● Proficiency in following programming languages (Python, Rust), with a strong foundation in software engineering principles. Knowledge of Rust is a strong plus, especially in the context of high-performance, memory safety and ownership.

● Deep understanding of system design, database architecture (SQL & NoSQL), microservices, observability, resilience engineering, and secure coding practices.

● Exposure to big data platforms, stream processing, machine learning infrastructure, and multi-cloud environments (e.g., AWS, GCP, Azure) is preferred.

● Excellent communicator and collaborator, with the ability to influence and align cross-functional stakeholders.

● Proven experience mentoring engineers and guiding architectural decisions at scale.

What We Offer

● Opportunity to lead large, high-impact projects for global Fortune 500 clients.

● Work in a high-growth startup environment with a flat, collegial culture.

● Best-in-class remuneration and benefits.

● A platform for personal and professional growth with ownership and autonomy.

Some of our accolades include:

● Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.

● Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.

● Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.

● Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.

● Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.

● Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

Interested? Let’s Connect on LinkedIn

About the internship

As a Full Stack Development intern at Miror, you will have the opportunity to work with cutting-edge technologies such as Node.js, React, TypeScript, Python, REST API, Next.js, Claude, ChatGPT, and Prompt Engineering.

Key Responsibilities:

1. Collaborate with the development team to design, build, and maintain efficient, reusable, and reliable code.

2. Implement new features and enhancements on our web application using the latest technologies and best practices.

3. Work on integrating third-party APIs and services to improve the functionality of our platform.

4. Assist in troubleshooting and resolving technical issues to ensure smooth operation of the website.

5. Conduct code reviews and provide constructive feedback to fellow team members.

6. Stay up-to-date with industry trends and advancements in web development to suggest innovative solutions.

7. Contribute to the overall success of the company by actively participating in team meetings and sharing your insights and ideas.

8. AI image and video generation

If you are a passionate and skilled developer looking to gain hands-on experience in a dynamic and fast-paced environment, this internship opportunity is perfect for you.

Join us in revolutionizing the beauty industry with technology!

Skill(s) required

ChatGPT

Claude

Next.js

Node.js

Prompt Engineering

Python

React

REST API

TypeScript

Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. can start Immediately

3. are available for duration of 3 months

4. have relevant skills and interests

Other requirements

1. Should be able to independently develop full stack applications

2. Should be open to working directly with business for image and video generation

Perks

Certificate Letter of recommendation

Informal dress code

Chance to get a permanent Job offer here

What We Offer

·       Competitive compensation

·       Opportunity to work with senior leadership

·       Stable role with long-term growth potential

Best Regards,

Indrani Dutta

Senior HR Manager

Soham Renewable Energy India Pvt. Ltd.

Visit: www.miror.in

Visit: https://www.sohamenergy.in/

About Impact Analytics

Impact Analytics is an agentic-first AI software company transforming retail merchandising through cutting-edge AI, LLMs, and Generative AI technologies. As a fast-growing Series D company with deployments across five continents, it is building both industry-leading merchandising solutions and foundational AI agents that are redefining how retail decisions are made. What makes Impact Analytics unique is its combination of deep retail domain expertise, strong innovation culture, and global presence. It is one of the few India-born AI companies recognized globally by organizations like Fortune, Gartner, and the Inc. 5000.For candidates looking to work on next-generation AI products with global scale and real-world impact, Impact Analytics is an exciting place to build your career. Here’s a link to our website: www.impactanalytics.co.

The impact that you will be making

We are seeking a Senior Software Engineer – Backend to design and build scalable backend systems that power Android-first mobile applications. The ideal candidate will have strong backend engineering expertise, experience supporting mobile applications, and a passion for building high-performance, reliable distributed systems that operate efficiently under constrained network conditions.

You will work closely with Android developers and cross-functional teams to build APIs and backend services that enable seamless mobile experiences, including offline synchronization, scalability, and high availability

What lands you in this role

Key Responsibilities

• Design, develop, and maintain scalable backend services and RESTful APIs for Android/mobile applications.
• Build backend systems optimized for Android-first applications with a focus on performance, reliability, and scalability.
• Develop APIs that perform efficiently in low-bandwidth and intermittent network environments.
• Design and implement backend workflows that support offline synchronization, conflict resolution, and data consistency.
• Develop secure, resilient, and highly available microservices.
• Optimize application performance through efficient database design, caching strategies, and API optimization.
• Collaborate closely with Android engineers, Product Managers, QA, and DevOps teams throughout the software development lifecycle.
• Participate in architecture discussions, code reviews, and technical design decisions.
• Leverage AI-assisted development tools to improve engineering productivity and code quality.

Required Skills

• 4–7 years of professional experience in backend software development.
• Strong proficiency in Kotlin for backend development.
• Experience building backend systems supporting Android/mobile applications.
• Strong understanding of RESTful APIs, microservices, and distributed systems.
• Hands-on experience with Gradle (Kotlin DSL/KTS) for build automation and dependency management.
• Familiarity with Android Studio for debugging, API integration, and collaboration with Android teams.
• Experience with modern backend frameworks and scalable application architecture.
• Knowledge of relational and/or NoSQL databases such as PostgreSQL, MySQL, MongoDB, or similar.
• Experience with caching technologies (Redis) and messaging/event streaming platforms (Kafka or RabbitMQ).
• Hands-on experience with Google Cloud Platform (GCP) or equivalent cloud platforms.
• Proficiency with GitHub and modern Git-based development workflows.
• Experience using Visual Studio Code (VS Code).
• Familiarity with AI-powered developer tools such as Cursor, Windsurf, or similar Agentic IDEs.
• Strong understanding of CI/CD pipelines, containerization, and cloud-native application development.
• Excellent debugging, analytical, and problem-solving skills.

What we offer

• An opportunity to be part of some of the best enterprise SaaS products to be built out of India.
• Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions.
• A flat, collegial work environment, with a work hard, play hard attitude.
• A platform for rapid growth if you are willing to try new things without fear of failure.
• Remuneration with best-in-class industry standards with generous health insurance cover

Some of our accolades include:

• Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.
• Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.
• Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.
• Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

About Impact Analytics

Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of th eAgentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention. Here’s a link to our website: www.impactanalytics.co.

The impact that you will be making

As a senior data scientist, you will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Primary focus will be in applying data mining techniques, performing statistical analysis, and building high quality prediction systems that can be integrated with our products.

What this role entail

● Understand and translate statistics and analytics to address client business problems.

● Apply Statistical forecasting algorithms to forecast client business needs for short term and long-term horizon.

● Explore Machine learning and Deep learning techniques to improve statistical Forecasting accuracy.

● Create business narrative by using storytelling and Visualization techniques and to present analytical insights to clients.

● Structure business problems and design solutions to meet client needs.

● Develop sophisticated analytical frameworks that add value to the client and result in new projects and revenue streams.

● Develop and implement analytical methodologies, processes, and technological solutions that integrate diverse information solutions and generate analytical insights.

What lands you in this role

● At least 3 years hands-on experience as a data scientist working on SQL, Python

● Must have exposure to developing predictive analytics and machine learning algorithms for business applications

● Strong forecasting and Deep Learning experience will be a plus

● Hands-on experience in relevant tools like SQL, Python, Tableau, etc.

● B Tech/ BE or equivalent degree in Data Science, Statistics, Computer Science, or similar

Some of our accolades include:

● Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.

● Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.

● Voted #1 by more than 300 retailers worldwide in the RIS Software Leaderboard 2024 report.

● Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.

● Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.

● Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications. Economic Times News about our funding can be accessed here.

Position: Site Reliability Engineer (SRE)

Location: Bangalore / Trichy

Experience: 4–6 Years

No of Open Positions: 2

We Need Immediate Joiners

We are hiring a hands-on Site Reliability Engineer (SRE) to support Kubernetes-based production platforms, automation, and cloud operations.

Mandatory (Non-Negotiable)

• Active CKA (Certified Kubernetes Administrator) certification – mandatory
• Strong hands-on Kubernetes Administration experience
• Linux Administration
• Scripting in Bash / Python / Terraform / GoLang
• Experience supporting production environments and troubleshooting infrastructure issues
• 4–6 years of experience
• Bangalore / Trichy location or willing to relocate
• 
  

Good to Have

• AWS Cloud exposure
• CI/CD & DevOps practices
• Monitoring, logging & observability tools
• Infrastructure as Code (IaC)

Key Responsibilities

• Administer, upgrade, scale, and troubleshoot Kubernetes clusters
• Automate operational tasks and infrastructure provisioning
• Support CI/CD pipelines and platform reliability initiatives
• Handle production incidents, RCA, and preventive actions

WHO WE ARE:

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.

In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions.

OUR VALUES: Go with your GUT

• Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses.
• Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully.
• I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together.

Responsibilities:

• Develop user-facing features such as web apps and landing portals.
• Ensure the feasibility of UI/UX designs and implement them technically.
• Create reusable code and libraries for future use.
• Optimize applications for speed and scalability.
• Contribute to the entire implementation process, including defining improvements based on business needs and architectural enhancements.
• Promote coding, testing, and deployment of best practices through research and demonstration.
• Review frameworks and design principles for suitability in the project context.
• Demonstrate the ability to identify opportunities, lay out rational plans, and see them through to completion.

Requirements:

• Bachelor’s degree in Engineering with 10+ years of software product development experience.
• Proficiency in React, Django, Pandas, GitHub, AWS, and JavaScript, Python
• Strong knowledge of PostgreSQL, MongoDB, and designing REST APIs.
• Experience with scalable interactive web applications.
• Understanding of software design constructs and implementation.
• Familiarity with ORM libraries and Test-Driven Development.
• Exposure to the Finance domain is preferred.
• Knowledge of HTML5, LESS/CSS3, jQuery, and Bootstrap.
• Expertise in JavaScript fundamentals and front-end/back-end technologies.

Nice to Have:

• Strong knowledge of website security and common vulnerabilities.
• Exposure to financial capital markets and instruments.

Compensation and Benefits Package:

• Competitive compensation with a discretionary annual bonus.
• Performance-linked variable compensation.
• Medical insurance.

A note on location. While we have team centers in Boulder, New York City, San Francisco, Charlotte, and Mumbai, this role is based out of Bangalore

TIFIN is an equal-opportunity workplace, and we value diversity in our workforce. All qualified applicants will receive consideration for employment without regard to any discrimination.

Looking for somone with strong in AI, who have built the application and scaled them . Start up work exposure

8+ years of experience in successfully building, deploying, and running complex, large-scale web or data products.

Proven Management Experience: Demonstrated success managing a team of 5+ engineers for at least 2 years (managing timelines, performance, and hiring). You know how to transition a team from 'startup chaos' to 'structured agility'. 

● Full-stack Authority: Deep expertise with Javascript, Node.js, MySQL, and Python. You must have world-class expertise in at least one area but possess a solid understanding of the entire stack in a multi-tier environment. 

● Architectural Track Record: Has built at least two professional-grade products as the tech owner/architect and led the delivery of complex products from conception to release. 

● Experience in working with REST APIs, Machine Learning, Algorithms & AWS. 

● Familiar with visualization libraries and database technologies.

 ● Your reputation in the technology community within your domain. 

● Your participation and success in competitive programming. 

● Work on unusual/extraordinary hobby projects during school/college that were not a part of the curriculum. 

● The school that you come from and organizations where you have worked earlier. Personality Expectations We believe that it takes a certain type of personality to do a certain kind of role well. 

● Thoughtful & Analytical: Unlike a sales role, this role requires deep analytical ability and thoughtfulness. You don't just "hit goals at any cost"; you architect sustainable solutions that prevent future debt. 

● The "Pack Leader" Mentality: You are competitive, but you understand that your team's win is your win. You shift from getting a dopamine hit from solving a bug yourself to getting a hit from unblocking your team to solve ten bugs. 

● High Ownership of Outcomes: You don't just care that the code was written; you care that the feature was delivered, works for the customer, and didn't break production. You expect very highly of yourself and being less than ideal anywhere almost pains you. 

● Resilience: You possess the mental endurance to push through complex technical constraints and tight deadlines without losing your cool. 

● Uncompromising Values: On the other side, there is only one thing that we care for apart from performance - your values. We have room for mistakes on the performance side, we have no room for mistakes on your values. 

Job Summary

We are seeking a motivated Data Engineer with strong skills in SQL, Python, and Linux to design, build, and maintain scalable data pipelines and support data-driven decision-making. The ideal candidate should have experience working with large datasets, ETL processes, and relational databases while ensuring data quality and performance.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write optimized SQL queries, stored procedures, and database objects.
• Develop Python scripts for data extraction, transformation, and automation.
• Work in Linux environments to manage scripts, cron jobs, and system processes.
• Monitor and troubleshoot data pipeline failures.
• Ensure data integrity, consistency, and quality across systems.
• Collaborate with data analysts, software engineers, and business stakeholders.
• Optimize database performance and query execution.
• Participate in code reviews and follow best engineering practices.

Required Skills

• Strong proficiency in SQL (joins, subqueries, window functions, CTEs, indexing, query optimization).
• Good programming experience in Python.
• Hands-on experience with Linux commands and shell scripting.
• Understanding of ETL/ELT concepts and data warehousing.
• Knowledge of relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server.
• Familiarity with Git for version control.
• Strong problem-solving and analytical skills.

Job Summary

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong expertise in SQL, Python, Linux, and modern data engineering practices to support data integration, transformation, and analytics.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write efficient and optimized SQL queries for data extraction, transformation, and reporting.
• Develop automation scripts using Python for data processing and workflow optimization.
• Work with Linux environments for deployment, monitoring, and troubleshooting.
• Ensure data quality, integrity, and reliability across data platforms.
• Collaborate with data analysts, software engineers, and business stakeholders to deliver data solutions.
• Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
• Implement best practices for data security, governance, and documentation.

Required Skills

• Strong experience in Data Engineering concepts and ETL/ELT processes.
• Proficiency in SQL, including query optimization and database design.
• Strong programming skills in Python.
• Hands-on experience with Linux commands, shell scripting, and system administration basics.
• Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Familiarity with Git/version control.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of Apache Spark, Airflow, Kafka, or similar data engineering tools.
• Experience with data warehousing solutions and big data technologies.
• Understanding of CI/CD pipelines and containerization (Docker/Kubernetes).

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Relevant certifications in cloud or data engineering are an added advantage.

AI/ML Engineer AI Operating System for Capital Markets Location Bangalore/Chennai Experience 5+ years Function Artificial Intelligence / Machine Learning Employment Type About Transient.AI Full-time Transient.AI is building a next-generation AI Operating System for capital markets — a unified intelligence layer that connects research, trading, compliance, and sales functions at banks and hedge funds. Today, these teams largely operate on disconnected legacy systems, forcing manual, expensive workarounds. Transient.AI replaces that fragmentation with a single AI-native layer built for institutional-grade compliance, security, and auditability. The company already has live products in market, including Caddie.AI (a research automation tool that cuts hedge fund research time significantly), ClarityRIA (helping sales teams identify the right investors in seconds), and CapFlo.AI (automated parsing of complex derivatives contracts). Founded by former traders and technologists from Goldman Sachs, Credit Suisse, UBS, and McKinsey, Transient.AI is headquartered in New York, with teams in Miami, Singapore, and India. The company has raised Series A funding and is scaling its engineering and product organization globally. Role Overview Transient.AI is hiring an experienced AI/ML Engineer to join its India engineering team in Bangalore/Chennai. This is a hands-on, build-from-scratch role — you'll be designing and shipping the core machine learning systems that power the company's flagship products, working closely with founders and senior engineers rather than inheriting existing infrastructure. Key Responsibilities • Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research automation, document intelligence, investor matching, and workflow orchestration). • Workonapplied NLP/LLMsystems, including retrieval-augmented generation, structured extraction from unstructured financial documents, and model evaluation pipelines. • Partner closely with product and founding engineers to translate capital markets workflows into scalable AI systems. • Ownmodelperformance, reliability, and cost — from experimentation through production deployment. • Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration. • Ensuresystems meet the compliance, auditability, and security standards required in regulated financial environments. What We're Looking For • 5+years ofexperience building and deploying machine learning or AI systems in production.• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent). • Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly valued. • Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring, versioning). • Prior experience at a strong product company, high-growth startup, or a top-tier engineering background • Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity. • Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory. WhyJoin Transient.AI • Build core AI systems from the ground up — not maintain legacy code. • Workdirectly with founders who have deep, first-hand Wall Street experience (Goldman Sachs, Credit Suisse, UBS, McKinsey). • JoinaSeries A-funded company solving a real, expensive problem for institutional finance. • Bepart ofasmall, global team with outsized ownership and impact. .

Job Summary

We are looking for an experienced AI Data Architect to design and build an enterprise AI-ready data platform that serves as the single source of truth for AI applications, including RAG, Agentic AI, Conversational AI, ML models, and analytics.

Key Responsibilities

• Design enterprise AI data platform and Lakehouse architecture.
• Build batch & real-time data pipelines.
• Develop semantic models, knowledge graphs, and vector databases.
• Architect RAG and LLMOps infrastructure.
• Implement data governance, security, and AI observability.
• Modernize legacy data platforms to cloud-native architectures.

Required Skills

• Python, SQL, PySpark
• Databricks, Delta Lake, Snowflake
• Kafka, Spark Structured Streaming
• AWS / Azure
• LangChain, LlamaIndex
• OpenAI, Claude, Bedrock
• Pinecone, FAISS, ChromaDB, Neo4j
• MLflow, Docker, Kubernetes, Terraform
• FastAPI, GitHub Actions, Jenkins
• Data Governance, RBAC, CI/CD

Requirements

• 12+ years in Data Engineering/Data Architecture.
• Experience with AI/ML, RAG, LLMOps, and enterprise AI platforms.
• Strong expertise in Lakehouse, Data Mesh, Cloud, and Vector Databases.
• Hands-on experience with enterprise-scale AI data architecture and governance. 

About the Role

We're looking for a Senior AI/ML Engineer who thrives at the intersection of research and production — someone who doesn't just build models, but ships systems that scale. You'll own the full ML lifecycle: architecting robust data pipelines, training and rigorously evaluating models, and deploying them into high-throughput production environments. This is a role for engineers who want their work to move fast, break assumptions (not systems), and directly shape how AI gets built at scale. If you're energized by turning cutting-edge research into real-world impact, this is your next challenge.

Key Responsibilities

– Design, build, and maintain end-to-end ML pipelines — from raw data ingestion to model serving — with a focus on scalability and reliability.

– Develop, train, and rigorously evaluate ML/DL models using sound experimentation practices (A/B testing, offline/online metrics, statistical validation).

– Own the MLOps lifecycle: implement CI/CD pipelines for model training and deployment, version control for datasets and models, and automated retraining workflows.

– Deploy and monitor models in production using containerized, orchestrated infrastructure (Docker, Kubernetes), ensuring low-latency, high-availability inference.

– Collaborate cross-functionally with Data Engineering, Product, and Backend teams to translate business problems into scalable ML solutions.

– Optimize model performance for cost, latency, and accuracy trade-offs across cloud-based training and inference environments.

– Mentor and guide junior engineers and data scientists — conducting code reviews, sharing best practices, and raising the technical bar of the team.

– Stay current with emerging research (LLMs, generative AI, RAG architectures) and proactively identify opportunities to apply them to existing products.

Required Technical Skills

Languages

– Expert-level Python; working knowledge of R or C++ is a plus.

Frameworks

– TensorFlow, PyTorch, Scikit-Learn, Keras.

Data & Cloud

– Strong SQL and NoSQL fundamentals.

– Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), specifically their ML tooling — SageMaker, Vertex AI, or equivalent.

– Experience with distributed data processing frameworks: Spark, Hadoop.

MLOps & Deployment

– Proficiency with Docker and Kubernetes for containerized deployment.

– Experience building CI/CD pipelines for ML workflows.

– Familiarity with experiment tracking and pipeline orchestration tools like MLflow or Kubeflow.

Advanced / Nice-to-Have

– Practical experience with LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG) architectures.

– Experience fine-tuning transformer-based models for domain-specific use cases.

Qualifications & Experience

– Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.

– 5+ years of hands-on experience building, training, and deploying production-grade AI/ML models at scale.

– Demonstrated track record of taking models from prototype to production in a real-world business setting.

What We Offer

– Competitive compensation, benchmarked to top-tier tech talent in the industry.

– Comprehensive health insurance coverage for you and your family.

– Annual learning & development stipend for courses, certifications, and conferences.

– A collaborative, high-ownership culture where engineering excellence is celebrated.

– The opportunity to work on cutting-edge AI systems with direct, visible impact.

About Tech Transient

Tech Transient is an AI consulting and digital transformation firm headquartered in Coimbatore, Tamil Nadu.

We partner with enterprises and growth-stage companies to design and deliver intelligent digital products — spanning mobile applications, cloud platforms, and AI-driven solutions. Our mission is to translate emerging technology into measurable business outcomes.

Machine Learning Engineer (For client company)

Location: Bengaluru, India (Hybrid/Onsite)

Experience: 3–4 years

The Role

We are looking for a Machine Learning Engineer to build and productionize models that power fall detection, vitals monitoring, and predictive health insights from radar sensor data.

You will work closely with hardware, data engineering, backend, and product teams to improve model accuracy, reduce false alarms, and deploy reliable ML systems into production.

This role is ideal for someone with strong classical machine learning fundamentals who is comfortable working with messy real-world sensor data and writing clean, production-grade code.

What You'll Do

• Build and optimize classical ML models such as XGBoost, ensemble models, anomaly detection, and time-series models for fall detection, vitals monitoring, and health risk scoring.
• Engineer features from raw, sparse, and noisy radar signals, point-cloud data, and time-series sensor streams.
• Contribute to computer vision-adjacent problems such as pose estimation, movement analysis, skeleton tracking, and activity recognition using radar data.
• Build training, evaluation, and inference pipelines using Databricks.
• Perform exploratory data analysis on resident, device, alert, and facility-level datasets to identify trends, edge cases, and opportunities for model improvement.
• Define and own model evaluation metrics for safety-critical systems, including:
• Precision
• Recall
• Sensitivity
• Specificity
• False alarm rate
• Missed event rate
• Detection latency
• Analyze production model performance across facilities, residents, devices, and time periods.
• Handle noisy real-world datasets, including:
• Missing values
• Label quality issues
• Device variability
• Sparse event data
• Facility-specific patterns
• Write clean, modular, well-tested Python code for feature engineering, model training, evaluation, and inference.
• Deploy, monitor, and continuously improve production ML models.
• Collaborate with hardware and data engineering teams to improve data quality, labeling, observability, and model reliability.

What We're Looking For

• 3–4 years of experience building and deploying machine learning systems in production.
• Strong Python programming skills with the ability to write maintainable, testable, production-grade code.
• Strong understanding of classical machine learning concepts, including:
• Feature engineering
• Model training
• Cross-validation
• Error analysis
• Model evaluation
• Hands-on experience with algorithms such as:
• XGBoost
• Random Forests
• Gradient Boosting
• Ensemble methods
• Anomaly Detection
• Time-series models
• Strong SQL skills with experience analyzing large datasets using SQL, PySpark, Pandas, or Databricks.
• Experience working with time-series, sensor, spatial, point-cloud, IoT, or computer vision-style datasets.
• Familiarity with modern data engineering workflows using Databricks, Apache Spark, Delta Lake, or similar platforms.
• Strong debugging and analytical skills with the ability to diagnose issues across data pipelines, models, and production systems.
• Comfortable working in a fast-moving startup environment with ambiguity.
• Strong ownership mindset with the ability to take ML models from experimentation through production deployment.

Good to Have

• Experience in HealthTech, IoT, radar sensing, wearables, ambient monitoring, or safety-critical systems.

Exposure to:

• Computer Vision
• Pose Estimation
• Skeleton Tracking
• Object Tracking
• Spatial Data Processing
• Experience with:
• MLflow
• Model Registry
• Feature Stores
• Experiment Tracking
• Model Monitoring
• Experience with:
• ONNX
• Model Quantization
• Edge Deployment
• Latency Optimization
• Resource-Constrained Inference
• Familiarity with real-time data pipelines using:
• Kafka
• Spark Structured Streaming
• Streaming inference architectures 

5 -10 years of professional software development experience.

 Experience in any backend tech like Java/Golang/Python/Nodejs/Ruby and Frontend Tech like Reactjs/Angular/Vuejs

with strong working knowledge of frontend/backend frameworks.

 Strong understanding of software architecture, design patterns, and principles

(e.g., SOLID, microservices, event-driven architectures)

 Experience with AI tools, frameworks, platforms, and their application in software delivery

 Experience with cloud platforms (especially AWS services), containerization and orchestration (Docker, Kubernetes)

 Hands-on experience with CI/CD pipelines and automated testing frameworks

 Familiarity with databases (SQL and NoSQL) and data modelling

 Fluency with XP practices: TDD, pair programming, continuous integration,

refactoring

 Working knowledge of security principles (secrets management, least privilege)

Job Summary:

We are seeking a highly skilled Principal Infrastructure Engineer to join our team, focusing on production support and Site Reliability Engineering (SRE) implementation. The ideal candidate will possess a strong background in Python scripting, Ansible automation, and OpenShift support, along with expertise in Linux administration and Apache Tomcat. This role is critical in ensuring the stability and performance of our applications through effective monitoring, log analysis, and the use of various DevOps tools.

Responsibilities:

Provide production support for applications, ensuring high availability and performance.

Implement Site Reliability Engineering (SRE) practices to enhance system reliability.

Develop and maintain Python scripts for automation and process improvement.

Utilize Ansible for configuration management and deployment automation.

Support and manage OpenShift environments, ensuring optimal performance and scalability.

Administer Linux servers, ensuring security, performance, and reliability.

Manage and configure Apache Tomcat servers for application deployment.

Implement and maintain monitoring tools to proactively identify and resolve issues.

Conduct log analysis to troubleshoot and optimize application performance.

Collaborate with cross-functional teams to enhance DevOps practices and tools.

Document processes, procedures, and best practices for infrastructure management.

Mandatory Skills:

Strong experience in application production support.

Proficiency in Python scripting for automation tasks.

Hands-on experience with Ansible for automation and orchestration.

Solid understanding of OpenShift and container orchestration.

Expertise in Linux administration, including server setup and maintenance.

Experience with Apache Tomcat configuration and management.

Familiarity with monitoring tools and log analysis techniques.

Knowledge of DevOps tools and practices.

Preferred Skills:

Experience with cloud platforms (AWS, Azure, GCP).

Familiarity with CI/CD pipelines and tools.

Knowledge of networking concepts and security best practices.

Experience with database management and optimization.

Understanding of Agile methodologies and practices.

Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field.

Relevant certifications in cloud technologies, DevOps, or system administration are a plus.

Strong analytical and problem-solving skills.

Excellent communication and collaboration abilities.

Ability to work in a fast-paced environment and manage multiple priorities

Key Responsibilities:

·       Design, develop, and maintain scalable data warehouse solutions using Snowflake.

·       Write, optimize, troubleshoot, and enhance Snowflake SQL queries with a focus on performance and scalability.

·       Develop and support ETL processes using Talend to ensure reliable and efficient data movement.

·       Collaborate with business, analytics, and application teams to enable reporting, dashboards, metrics, and data exploration capabilities.

·       Perform data analysis and resolve issues across data ingestion, transformation, and reporting pipelines.

·       Debug and troubleshoot Python-based data processing scripts and automation workflows.

·       Implement best practices for data quality, testing, deployment, and code reviews.

·       Work across UI, API, and Data Warehouse layers to support end-to-end data integration and business requirements.

·       Monitor, optimize, and maintain data warehouse performance and operational stability.

·       Create and maintain technical documentation, data models, and process workflows.

Required Skills and Experience: 

·       Strong hands-on expertise in Snowflake Data Warehouse.

·       Advanced SQL skills with experience handling large-scale datasets.

·       Strong understanding of Data Warehousing concepts, dimensional modelling, and data architecture.

·       Hands-on experience with Analytical SQL functions, query tuning, and performance optimization.

·       Experience developing and maintaining ETL solutions using Talend.

·       Proficiency in Python for scripting, debugging, automation, and data processing.

·       Experience integrating UI, API, and Data Warehouse workflows.

·       Strong problem-solving and analytical skills.

·       Experience with testing, code reviews, and deployment best practices.

·       Excellent communication and stakeholder management skills.

Job Summary

We are seeking a highly skilled and experienced Senior Salesforce QA Engineer to lead the end-to-end quality assurance for our enterprise Salesforce platform. In this role, you will design robust test strategies, establish automated testing pipelines, and validate complex custom configurations, Apex code, and integrations. As a senior member of the team, you will bridge the gap between business requirements and technical execution, ensuring the delivery of high-quality, scalable solutions across Sales, Service, and Custom Clouds.

Key Responsibilities

• Test Strategy & Planning: Define, implement, and maintain comprehensive test strategies, test plans, and test cases covering functional, regression, integration, and end-to-end scenarios.

• Test Automation: Architect, scale, and maintain automated testing frameworks using enterprise tools (e.g., Provar, Tricentis Tosca, or Selenium with Java/Python) specifically optimized for Salesforce's dynamic UI.

• Complex Custom Validation: Validate complex programmatic customizations (Apex classes, Triggers, Lightning Web Components) and declarative features (Advanced Flows, Validation Rules).

• Integration Testing: Lead end-to-end API testing (REST/SOAP) to verify seamless data flow between Salesforce and upstream/downstream external systems.

• Environment & Release Management: Oversee sandbox deployments, data masking, and regression testing during Salesforce seasonal releases and monthly deployment cycles.

• Defect Lifecycle Management: Own the defect tracking process in Jira or Azure DevOps, collaborating closely with developers, business analysts, and product owners for rapid root-cause resolution.

• Mentorship & Leadership: Provide technical guidance and mentorship to junior QA engineers and lead user acceptance testing (UAT) phases with business stakeholders.

Required Technical Skills & Qualifications

• Experience: 5 to 10 years of dedicated software quality engineering experience, with a minimum of 3+ years focused exclusively on testing Salesforce ecosystems.

• Salesforce Core Knowledge: Deep understanding of Salesforce architecture, data models, object relationships, sharing rules, and platform governor limits.

• Automation Expertise: Hands-on experience developing framework code or no-code architectures using tools like Provar, Selenium WebDriver, Tricentis Tosca, or UFT.

• API Testing: Proficient in API testing tools such as Postman, SoapUI, or automated API frameworks.

• Agile & Devops: Strong experience working within Agile/Scrum methodologies and integrating automated tests into CI/CD pipelines (e.g., Copado, Jenkins, GitHubActions).

• Data Management: Proficiency in writing SQL queries and utilizing Salesforce Data Loader for test data creation and verification.

We are seeking a Technology Solutions Engineer with 3–5 years of hands-on software development experience who is passionate about exploring new technologies and solving business problems through rapid prototyping. The role focuses on evaluating technology solutions, building proof-of-concept (POC) applications, validating third-party integrations, and assessing the technical feasibility of business requirements before production implementation.

Responsibilities:

• Understand business requirements and convert them into technical solution options.
• Research, evaluate, and compare SaaS products, AI platforms, cloud services, and enterprise applications.
• Develop POCs and prototypes to validate technical feasibility.
• Build and test integrations using REST APIs, webhooks, SDKs, and authentication mechanisms.
• Perform technical, scalability, security, and cost feasibility assessments.
• Prepare solution comparison reports, architecture diagrams, and technical recommendations.
• Collaborate with business users, vendors, and engineering teams during evaluations.
• Identify technical risks, assumptions, and implementation dependencies.
• Support engineering teams in transitioning successful POCs into production.
• Maintain clear technical documentation.

Criteria:

·      Bachelor's degree in Computer Science, Information Technology, or a related field.

·      3–5 years of hands-on experience in software development, integration engineering, or solution engineering.

·      Strong coding skills in Python, Node.js, Java, or C#.

·      Experience working with REST APIs, JSON, OAuth, webhooks, and API testing tools.

·      Hands-on exposure to AWS or another major cloud platform.

·      Experience with Git, Docker, and SQL databases.

·      Excellent analytical, troubleshooting, and communication skills

·      Comfortable collaborating across product, engineering, and business teams

·      Excellent communication, problem-solving, and stakeholder management skills.

Preferred Skills

• Exposure to OpenAI, Gemini, Claude, or other AI/LLM platforms.
• Experience evaluating third-party enterprise software.
• Basic knowledge of Kubernetes, Terraform, CI/CD, Redis, or Kafka.
• Ability to create architecture diagrams and technical proposals.

What Makes You Successful

• Quickly builds functional POCs to validate ideas.
• Can independently evaluate multiple technical approaches.
• Balances technical quality, implementation effort, and business value.
• Communicates findings clearly to technical and non-technical stakeholders.

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location – Whitefield, Bangalore

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology:

·    The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

·    Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

·    Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·    Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·    Globally present with offices US, India, UK, Australia, Mexico, and Canada.

·    We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

·    Wissen Technology has been certified as a Great Place to Work®.

·    Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·    Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·    We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

Job Title: Azure Fabric Data Engineer / AI Engineer

Experience: 4–8 Years

Location: Pune(Hybrid)

Job Summary

We are seeking Azure Fabric Data Engineers with experience in data engineering, Power BI, and AI to build modern data platforms and AI-driven solutions on Microsoft Fabric.

Key Responsibilities

• Develop ETL/ELT pipelines using Microsoft Fabric.
• Integrate data from multiple enterprise systems into Fabric.
• Build and optimize Lakehouse and Data Warehouse solutions.
• Develop Power BI dashboards and reports.
• Build AI-powered applications, AI Agents, and chatbots using Azure AI Services and Azure OpenAI.
• Collaborate with business and technical teams to deliver scalable analytics solutions.

Required Skills

• Microsoft Fabric
• Data Engineering and ETL/ELT
• SQL, Python, PySpark
• Power BI
• Azure AI Services / Azure OpenAI
• Data Modeling
• Git and Azure DevOps

Preferred: Experience with Financial Services/Capital Markets, Generative AI, RAG, or LLM-based applications.

Senior Gen AI Full Stack Engineer:

• Strong background in AI/ML and Gen AI with a deep understanding of LLMs, NLP pipelines, and AI model lifecycle.

• Experience in designing and building guardrail systems for Gen AI applications – including prompt filtering, semantic validation, toxicity detection, and hallucination mitigation.

• Fast API experience for API development.

• Proficiency in Python with frameworks like LangChain, Transformers, OpenAI, and LLM orchestration tools.

• Strong DevOps skills including CI/CD, Docker, Kubernetes, and Git.

Experience integrating Gen AI models into enterprise platforms securely and ethically.

On the Job

● Build and maintain scalable cloud infrastructure on AWS

● Improve CI/CD pipelines, deployment systems, and developer workflows

● Automate infrastructure provisioning using Infrastructure-as-Code (Terraform/Pulumi)

● Manage and optimize Kubernetes clusters and containerized workloads

● Improve observability across systems through monitoring, logging, and alerting

● Drive reliability initiatives including incident response, root cause analysis, and operational

improvements

● Collaborate with engineering teams to improve service scalability, performance, and security

● Implement IAM, secrets management, and infrastructure security best practices

● Optimize infrastructure costs and improve resource efficiency

● Actively leverage AI tools and workflows to improve engineering productivity and automation

Must Haves

● 3–6 years of experience in DevOps, Platform Engineering, or SRE roles

● Strong hands-on experience with AWS infrastructure and services

● Good understanding of Kubernetes, Docker, and container orchestration

● Experience with Infrastructure-as-Code tools like Terraform or Pulumi

● Strong scripting/coding skills in Python, Go, or Bash

● Experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI,

etc.)

● Understanding of networking fundamentals, Linux systems, and cloud security practices

● Familiarity with monitoring and observability tools like Prometheus, Grafana, ELK, Datadog,

etc.

● Strong debugging and problem-solving skills

● Ability to work independently in a fast-moving environment

Good To Haves

● Experience working in fintech or high-scale startup environments

● Exposure to service mesh, zero-trust security, or secrets management systems

● Experience with multi-cluster Kubernetes environments

● Familiarity with incident management, SLOs, and reliability engineering practices

● Experience building internal developer platforms or automation tooling

Hiring for Lead Python Developer

Exp : 7+ yrs

Edu : BE/B.Tech

Work Location : Bengaluru / Gurugram Hybrid

Skills :

Strong expertise in Python programming. 

Experience with frameworks such as: Django Flask FastAPI 

Strong understanding of: REST APIs Microservices Architecture OOPs Concepts Design Patterns 

Experience with databases: PostgreSQL MySQL MongoDB Redis 

Hands-on experience with: Docker Kubernetes CI/CD Pipelines Git/GitHub/GitLab 

Cloud platform experience: AWS / Azure / GCP 

Knowledge of message brokers: Kafka / RabbitMQ 

Experience with unit testing and automation frameworks. 

Leadership Skills Strong team handling and mentoring experience. 

Ability to drive technical discussions and architecture decisions. 

Excellent stakeholder management and communication skills. 

Experience managing Agile/Scrum teams. 

Preferred Qualifications Bachelor’s/Master’s degree in Computer Science or related field.

 Experience in large-scale enterprise applications.

Exposure to AI/ML integrations is an added advantage. Certifications in cloud or Python technologies are preferred.

Role overview:

We are hiring one Senior Backend Engineer to take end-to-end ownership of our serverless backend — a hands-on IC role for someone both technically excellent and comfortable being one of the few people the entire backend depends on. You'll own the services across several Node.js and Python repositories, work directly with the founders and product team, and set the technical bar for reliability, security, and performance.

Key responsibilities

• Design, build, and operate AWS Lambda services across our HCM/workforce, project-management, commercial/revenue, permissions, and document domains — each comprising dozens of functions.
• Own the multi-tenant PostgreSQL data layer — schema design, query performance, and the permission/relationship model — end to end.
• Maintain and evolve the request path — API Gateway → custom Lambda authorizer → VPC-bound Lambda → private databases — including the runtime IAM/credential model that scopes every request.
• Safeguard tenant isolation and security across a per-company Cognito authentication model.
• Build and maintain integrations with external construction data environments (Asite, Autodesk Construction Cloud), including large-scale document synchronization.
• Optimize performance and reliability to keep latency-sensitive endpoints well within platform limits under growing load.
• Raise the engineering bar — testing, observability, CI/CD, and modernization of legacy components.
• Debug and resolve production incidents to root cause, and put safeguards in place so they don't recur.
• Document decisions and designs and collaborate with the frontend (Angular) and product teams.

Challenges you'll solve.

We prefer to be candid — these are the problems that make this role genuinely interesting:

Latency under a hard ceiling

API Gateway terminates any request beyond ~29 seconds regardless of the Lambda's own timeout — yet much of our value comes from heavy cross-project reporting. You'll keep p95 latency within budget through set-based SQL, pagination, streaming, and asynchronous processing.

Least-privilege, per-request security

A shared custom authorizer mints short-lived, request-scoped credentials via sts:AssumeRole under a strict 2,048-character inline session-policy limit. You'll design permission models that stay within that budget and reason about IAM precisely.

Graph-shaped data, relational store

The permission and relationship model is inherently graph-like, but lives in PostgreSQL — you'll model it with recursive queries, careful indexing, and set-based traversal rather than reaching for a separate graph engine.

Watertight multi-tenancy

One Cognito pool per company and tenant-scoped access throughout — isolation is a first-order concern.

VPC-bound serverless

Lambdas run inside a VPC to reach private databases; you'll manage cold starts, connection lifecycles, and pool limits.

Resilient external integrations

Syncing large document sets from third-party APIs (including SOAP/XML) demands backpressure, deduplication, retries, and graceful partial-failure handling.

Compute-heavy workloads

Server-side PDF generation, image processing, and multi-currency handling within Lambda's memory and time constraints.

The stack.

Runtime — Node.js, Python, AWS Lambda

AWS services — -1 API Gateway, Lambda, Cognito, STS / IAM, Secrets Manager, S3 CloudWatch, VPC, EC2

Infrastructure & CI/CD- AWS SAM, CodePipeline → CodeBuild Shared Data —PostgreSQL

Qualifications.

• 5+ years building and operating production backend systems.
• Deep expertise in Node.js and JavaScript — the asynchronous model, event loop, and memory behavior — plus solid working proficiency in Python and its production behavior.
• Strong hands-on AWS experience, ideally serverless (Lambda, API Gateway, IAM/STS, VPC, Secrets Manager, CloudWatch) — able to reason about IAM policies, not just apply them.
• Advanced SQL and relational data modeling — set-based query design and a working understanding of why N+1 patterns cause production issues.
• Proven production-debugging ability — root-cause analysis in distributed systems from logs and first principles.
• Strong ownership, sound judgment, and clear written communication — able to make good decisions with incomplete information and explain trade-offs to non-engineers.

Interview Process:

Introductory call-Mutual fit and role overview.

Technical deep-dive- A walkthrough of a challenging production problem you have owned.

Practical exercise -A realistic backend task, or a walkthrough of your own representative code.

System design- Collaborative design on a real scenario.

Final conversation- Values, ownership, compensation, and offer.

Job Title: Principal Automation Engineer (AI)

Deltek is seeking a Principal Automation Engineer with deep expertise in AI-native test automation to help shape the quality engineering foundation Deltek’s next-generation, AI-first ERP platform for project-based businesses. This is not a role for someone who automates feature regression. It is a role for someone who can harness AI tools to build intelligent automation frameworks that reason, adapt, and self-heal.

You will be the automation architect behind Deltek’s in-house AI-native test automation platform combining Playwright with LLM-powered agents (Planner, Generator, Healer). You will extend, evolve, and industrialize this framework, integrating AI tools at every layer: test generation, self-healing selectors, LLM-as-a-Judge evaluation, and CI/CD-gated quality pipelines.

If you are fluent in Playwright, agentic AI workflows, and modern test engineering — and want to build something genuinely new rather than maintain legacy frameworks — we invite you to join our team. ERP domain knowledge is a strong plus and will accelerate your impact.

Responsibilities:

Architect and evolve the AI-native automation framework — extending Playwright-based agents with LLM-powered planning, test generation, and self-healing capabilities.

Use AI tools extensively (Claude, GitHub Copilot, LLM APIs) to design, generate, and augment automation suites — reducing human authoring effort while increasing scenario coverage.

Build and maintain Playwright agent pipelines for end-to-end workflow automation across Deltek’s Projects, Workforce Management, and Financials modules.

Integrate LLM-as-a-Judge (LLMaaJ) evaluation into the test pipeline to automatically score AI-generated outputs, detect hallucinations, and validate response quality against golden datasets.

Design and implement AI safety and correctness test cases: hallucination detection, bias testing, output guardrail validation, and behavioral consistency across edge cases.

Own the CI/CD automation pipeline (GitHub Actions / Azure DevOps) for AI-enabled releases — including regression gates, model-response validation, and automated quality dashboards in ReportPortal and Grafana.

Validate AI/ML outputs including prediction accuracy, recommendation relevance, natural-language responses, and inference API payloads.

Build and maintain golden datasets for AI drift detection, regression baselines, and LLM evaluation benchmarks.

Collaborate with Product Managers, AI/ML Engineers, and QE leads to define AI feature release quality gates and automation coverage targets.

Mentor QE team members on AI-assisted automation patterns, agentic testing concepts, and framework best practices.

Contribute to test strategy for data migration validation of schema fidelity and record correctness.

Qualifications:

BS/MS degree in Computer Science, Software Engineering, or a related field.

Relevant certifications in software quality, AI/ML, or cloud engineering are advantageous.

Experience:

8+ years of experience in test automation engineering, with at least 3+ years working with AI/LLM-based systems or agentic automation frameworks.

Proven hands-on experience with Playwright — including Playwright agents, fixtures, and API testing integration.

Demonstrated experience using AI tools (Claude API, OpenAI, GitHub Copilot, or equivalent) to accelerate test authoring, framework design, or output evaluation.

Track record of designing and implementing AI-based automation solutions — not just using automation tools, but building the frameworks others use.

Experience integrating automation into CI/CD pipelines (GitHub Actions, Jenkins, or Azure DevOps).

Experience with performance, scalability, or data-drift testing of AI features in production or pre-production ERP contexts.

ERP domain knowledge (Project Accounting, Financials, Payroll, Time & Expense) is a strong plus and will significantly accelerate onboarding and impact.

Good-to-Have Skills:

Familiarity with Ajera, Costpoint, Vantagepoint, or comparable project-based ERP systems.

Understanding of LLM fine-tuning, RAG pipelines, vector databases, and embeddings from a QA/validation perspective.

Experience building or working with self-healing automation frameworks or AIOps tooling.

Exposure to security testing for AI systems — prompt injection, output sanitization, guardrail bypass testing.

Familiarity with data privacy and compliance frameworks in AI-enabled enterprise software.

Technical Qualifications:

Deep, hands-on proficiency with Playwright — including agentic patterns, multi-step workflow automation, and integration with LLM backends.

Proficiency in TypeScript and/or Python for building automation frameworks, AI evaluation utilities, prompt-testing harnesses, and data-driven test pipelines.

Strong understanding of LLM/ML concepts from a QA perspective: prompt engineering, hallucination detection, output scoring, explainability validation, behavioral consistency testing.

Experience with REST and GraphQL API testing, including automated evaluation of LLM inference API payloads and AI-generated JSON responses.

Familiarity with ReportPortal, Grafana, or equivalent for test execution dashboards and quality metric visualization.

Strong SQL skills for data validation, training dataset verification, and ERP data pipeline testing.

Working knowledge of GitHub Actions and Azure DevOps (ADO/TFS) for CI/CD pipeline integration and issue tracking.

Good understanding of Agile/Scrum practices and AI model release cycles — shadow mode, A/B comparison, phased rollout validation.

Soft Skills:

Framework-builder mindset: thinks in systems, not scripts — builds what others use rather than executing what others built.

Strong communication skills: able to explain AI validation concepts clearly to engineers, product managers, and QE team members.

High ownership and self-direction: identifies automation gaps proactively and drives coverage improvements without waiting to be asked.

Collaborative and generous with knowledge: invests in mentoring team members and raising the team’s automation maturity.

Continuous learner: actively tracks the evolving AI tooling ecosystem and brings new techniques into the framework.

Able to manage multiple priorities in a fast-paced, distributed team environment.

Join Deltek and be at the forefront of how modern ERP quality engineering is done. You will help build the AI driven current automation framework into an industry-leading AI-native automation platform — combining Playwright agents, LLM-powered test generation, self-healing infrastructure, and intelligent quality gates.