50+ Python Jobs in India

Job Summary

We are seeking a skilled Python Developer with experience in building scalable applications using Python frameworks such as Flask and Django. The ideal candidate should have hands-on experience with PySpark for big data processing and strong SQL skills for data analysis and database management.

Key Responsibilities

• Design, develop, test, and maintain Python-based applications.
• Develop RESTful APIs using Flask and/or Django.
• Build scalable data processing pipelines using PySpark.
• Write efficient SQL queries, stored procedures, and optimize database performance.
• Integrate applications with databases and third-party services.
• Collaborate with cross-functional teams to gather and implement business requirements.
• Troubleshoot, debug, and enhance application performance.
• Follow coding standards, perform code reviews, and maintain technical documentation.

Required Skills

• Strong proficiency in Python.
• Hands-on experience with Flask and/or Django.
• Experience with PySpark for large-scale data processing.
• Strong knowledge of SQL (writing complex queries, joins, indexing, optimization).
• Understanding of REST APIs and microservices architecture.
• Experience with Git/version control.
• Knowledge of relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Good problem-solving and analytical skills.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with Docker and Kubernetes.
• Knowledge of CI/CD pipelines.
• Experience with Airflow or other workflow orchestration tools.
• Understanding of Agile/Scrum methodologies.

Role Overview

As a Software Engineer, you will build and maintain features across our SaaS platform. You will work on well-scoped tasks and features, collaborate closely with senior engineers, and grow your skills in software design, cloud-native development, and modern engineering practices. This role is a great fit for engineers who have solid programming fundamentals, are curious and quick to learn, and take pride in writing quality code. You will be supported and mentored while taking on increasing ownership over time.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science or a related discipline.·       

5–8 years of software engineering experience building production-grade applications.

Strong experience building and operating cloud-native SaaS or web applications.

Solid understanding of software design, distributed systems, and modern engineering practices.

Proven ability to own and deliver complex features independently.

Experience debugging and resolving performance, scalability, and reliability issues.

What We Look For

Strong programming fundamentals and a quality mindset.

Curiosity and a strong desire to learn and grow.

Ability to deliver well-scoped tasks reliably.

Good problem-solving and debugging skills.

Collaboration and communication skills.

Ownership and accountability for the work you do.

Passion for building software and continuous learning.

About Intugine

Ever wondered how the physical goods we consume every day (think dairy, snacks, or your favourite choco chip ice cream) reach you in time? Or how beautiful furniture or sophisticated electronic equipment and gadgets you use are delivered in the best possible condition at your doorstep. 

Their journey spans from getting sourced, manufactured, and stored, to getting moved across a highly intricate supply chain network across the globe before it gets delivered. Global brands constantly face challenges like not having visibility of their raw materials, which delays production and in turn, delays customer shipments, or tracking shipments across various modalities and multiple geographies. 

Intugine Technologies is one of the most trusted solution partners catering to these brands with its best-in-class visibility platform helping brands gain comprehensive visibility over their supply chain across modalities(air/land/sea/rail). Their solutions have helped eliminate operational inefficiencies, reduce logistics costs and improve OTIF, order to delivery TAT, and minimise dwell time and detention costs.

Intugine is a proud partner of the National Logistics Policy, an initiative by the  Government of India. With this, it provides these brands with additional information via their integrations with FASTag, Port Community System, and Freight Operations Information System to name a few. 

Today Intugine works with 75+ global enterprise names like GE Healthcare, Signify, Flipkart, Mahindra Logistics, Titan, Diageo, Ultratech Cement, Bridgestone, and GMMCO.  

To know more, visit the  website: https://www.intugine.com

About the Role

We are looking for an AI Product Engineer to rapidly build data-driven software products using modern AI coding agents. You will own the end-to-end development of internal and customer-facing applications from idea to production, leveraging Python, LLMs, computer vision, and analytics to solve complex real-world operational problems.

This role is ideal for someone who enjoys shipping products at high velocity by effectively orchestrating AI-assisted development rather than manually writing every line of code. You will work closely with the Co-founder, playing a key role in transforming business ideas into scalable AI-powered products.

Responsibilities

• Work closely with the Co-founder to build AI-powered products from concept to production.
• Build production-ready applications, dashboards, and automation tools using Python and modern web technologies.
• Leverage AI coding agents (e.g., Cursor, Claude Code, Codex, Gemini) to accelerate development and manage multiple parallel development streams.
• Design and implement LLM-powered workflows, AI agents, and multimodal solutions.
• Develop analytics platforms combining geospatial, IoT/sensor, image, and enterprise datasets to generate actionable business insights.
• Optimize prompts, AI pipelines, and vision models for performance, reliability, and accuracy.
• Own software quality, deployment, performance, and continuous improvement of AI-enabled products.
• Handle the end-to-end product lifecycle.

Requirements

• Strong Python programming skills with experience building production-grade applications.
• Experience building dashboards, data visualization tools, or internal platforms.
• Familiarity with LLMs, prompt engineering, AI APIs, and agentic coding workflows.
• Experience working with structured data, APIs, and cloud-based services.
• Ability to independently translate ambiguous business problems into scalable software solutions.
• Strong product mindset with a bias toward rapid experimentation, execution, and ownership.
• Excellent communication and collaboration skills in a fast-paced startup environment.

Nice to Have

• Experience with computer vision, satellite imagery, or geospatial data.
• Knowledge of IoT, sensor, or telemetry data processing.
• Experience with Streamlit, FastAPI, Plotly Dash, React, or similar frameworks.
• Exposure to vector databases, RAG (Retrieval-Augmented Generation), and AI evaluation frameworks.

About Intugine

Ever wondered how the physical goods we consume every day (think dairy, snacks, or your favourite choco chip ice cream) reach you in time? Or how beautiful furniture or sophisticated electronic equipment and gadgets you use are delivered in the best possible condition at your doorstep. 

Their journey spans from getting sourced, manufactured, and stored, to getting moved across a highly intricate supply chain network across the globe before it gets delivered. Global brands constantly face challenges like not having visibility of their raw materials, which delays production and in turn, delays customer shipments, or tracking shipments across various modalities and multiple geographies. 

Intugine Technologies is one of the most trusted solution partners catering to these brands with its best-in-class visibility platform helping brands gain comprehensive visibility over their supply chain across modalities(air/land/sea/rail). Their solutions have helped eliminate operational inefficiencies, reduce logistics costs and improve OTIF, order to delivery TAT, and minimise dwell time and detention costs.

Intugine is a proud partner of the National Logistics Policy, an initiative by the  Government of India. With this, it provides these brands with additional information via their integrations with FASTag, Port Community System, and Freight Operations Information System to name a few. 

Today Intugine works with 75+ global enterprise names like GE Healthcare, Signify, Flipkart, Mahindra Logistics, Titan, Diageo, Ultratech Cement, Bridgestone, and GMMCO.  

To know more, visit the  website: https://www.intugine.com

About the Role

We are looking for an AI Product Engineer to rapidly build data-driven software products using modern AI coding agents. You will own the end-to-end development of internal and customer-facing applications from idea to production, leveraging Python, LLMs, computer vision, and analytics to solve complex real-world operational problems.

This role is ideal for someone who enjoys shipping products at high velocity by effectively orchestrating AI-assisted development rather than manually writing every line of code. You will work closely with the Co-founder, playing a key role in transforming business ideas into scalable AI-powered products.

Responsibilities

• Work closely with the Co-founder to build AI-powered products from concept to production.
• Build production-ready applications, dashboards, and automation tools using Python and modern web technologies.
• Leverage AI coding agents (e.g., Cursor, Claude Code, Codex, Gemini) to accelerate development and manage multiple parallel development streams.
• Design and implement LLM-powered workflows, AI agents, and multimodal solutions.
• Develop analytics platforms combining geospatial, IoT/sensor, image, and enterprise datasets to generate actionable business insights.
• Optimize prompts, AI pipelines, and vision models for performance, reliability, and accuracy.
• Own software quality, deployment, performance, and continuous improvement of AI-enabled products.
• Handle the end-to-end product lifecycle.

Requirements

• Strong Python programming skills with experience building production-grade applications.
• Experience building dashboards, data visualization tools, or internal platforms.
• Familiarity with LLMs, prompt engineering, AI APIs, and agentic coding workflows.
• Experience working with structured data, APIs, and cloud-based services.
• Ability to independently translate ambiguous business problems into scalable software solutions.
• Strong product mindset with a bias toward rapid experimentation, execution, and ownership.
• Excellent communication and collaboration skills in a fast-paced startup environment.

Nice to Have

• Experience with computer vision, satellite imagery, or geospatial data.
• Knowledge of IoT, sensor, or telemetry data processing.
• Experience with Streamlit, FastAPI, Plotly Dash, React, or similar frameworks.
• Exposure to vector databases, RAG (Retrieval-Augmented Generation), and AI evaluation frameworks.

Role Description

We're looking for a Principal Engineer to own the architecture and technical direction of our core platform. You'll operate at the intersection of high-scale distributed systems and fintech-grade security and compliance, turning fast-growing but increasingly complex product surfaces into resilient, extensible platforms. This is a hands-on technical leadership role: you will design and review critical systems, set engineering standards across teams, and mentor senior engineers, while staying close enough to the code to unblock the hardest problems yourself.

Key Responsibilities

• Own end-to-end architecture for high-concurrency, high-availability platform services, from design through production operability.
• Define and drive adoption of architectural patterns (event-driven microservices, multi-tenant SaaS, distributed locking/coordination) across multiple engineering teams.
• Partner with Product, Risk/Compliance, and cross-functional engineering teams (Payments, Onboarding, DevOps) to translate business goals into platform capabilities.
• Establish and champion engineering best practices: blameless post-mortems, proactive health monitoring, and structural fixes over firefighting.
• Directly mentor senior and staff-level engineers; act as a force multiplier for technical decision-making across the org.
• Drive down operational toil through automation, self-service tooling, and platform abstractions that let other teams move faster independently.
• Represent engineering in architecture reviews, technical due-diligence, and cross-org planning.

Qualifications

• 7+ years of professional software engineering experience, with a track record of owning systems at scale in production.
• Proven experience architecting and scaling backend platforms handling significant user growth (e.g., 10x-20x) or transaction volume, ideally in fintech, payments, or another regulated domain.
• Deep expertise in distributed systems design: microservices, async workflow orchestration (e.g., Temporal or equivalent), event-driven architecture, and data consistency trade-offs.
• Strong hands-on experience with at least one of Java or Python, and the ability to review and guide code across languages/stacks.
• Experience with cloud infrastructure and platform tooling (AWS, Kubernetes, Terraform, CI/CD pipelines) and observability stacks (Prometheus, Grafana, Datadog, or similar).
• Demonstrated ability to lead cross-functional engineering initiatives and mentor engineers.
• Excellent written and verbal communication; comfortable driving alignment across engineering, product, and compliance stakeholders.
• Experience working with enterprise ERP integrations (SAP, Oracle, or similar) is a plus, especially around master data sync, financial workflows.
• Hands-on experience with agentic development is required — you regularly build with and orchestrate AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot Agent Mode) as part of your day-to-day engineering workflow, not just as an occasional autocomplete tool.
• Working knowledge of ETL and data pipeline design is a plus; hands-on experience with AWS Glue is preferred. SFTP/EDI, webhooks, API gateways, batch reconciliation

Tech Environment 

Java, Python, JavaScript/ReactJS | Spring Boot, FastAPI, Django, Flask | PostgreSQL, DynamoDB, Redis, Elasticsearch | Kafka, SQS, Celery | AWS, Kubernetes, Terraform, GitHub Actions/GitLab CI | Temporal, gRPC, GraphQL, OpenAPI | Keycloak, OAuth2/OIDC | Prometheus, Grafana, Datadog | AWS Glue, Airflow (ETL) | SAP/Oracle ERP integration connectors, EDI/SFTP | Claude Code, GitHub Copilot (agentic/AI-assisted development).

AI/ML Engineer (Open-Source LLM – BFSI Domain)

Job Title: AI/ML Engineer (Open-Source LLM – BFSI Domain)

Location: Brookefield, Bengaluru

Employment Type: Full-Time

Work Schedule: Monday to Saturday (Alternate Saturdays Off)

Working Hours: 9:00 AM – 6:00 PM (Extendable based on project requirements)

About the Role

We are seeking a talented AI/ML Engineer with hands-on experience in building, fine-tuning, and deploying Open-Source Large Language Models (LLMs) for the Banking, Financial Services, and Insurance (BFSI) domain. The ideal candidate will have practical experience developing production-ready AI solutions and a passion for leveraging Generative AI to solve real-world business challenges.

In this role, you will collaborate with Product, Engineering, and Data Science teams to design intelligent AI solutions that enhance customer experience, automate business processes, and improve operational efficiency.

Key Responsibilities

Design, develop, fine-tune, and deploy Open-Source LLMs for BFSI use cases.

Build AI-powered applications using modern LLM frameworks and orchestration tools.

Collaborate with Product Managers, Data Scientists, and Software Engineers to understand business requirements and deliver scalable AI solutions.

Conduct model experimentation, evaluation, optimization, and performance benchmarking using real-world datasets.

Implement Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and AI workflows where applicable.

Monitor model performance in production environments and continuously improve model accuracy, latency, and scalability.

Ensure AI solutions comply with enterprise security, privacy, and regulatory standards.

Develop APIs and integrate AI models into enterprise applications.

Maintain technical documentation, architecture diagrams, and deployment procedures.

Stay updated with the latest advancements in Artificial Intelligence, Machine Learning, and Open-Source LLM technologies.

Required Qualifications

Education

Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Engineering, or a related technical field.

Equivalent practical experience will also be considered.

Experience

Minimum 2+ years of hands-on AI/ML development experience.

Experience in the BFSI domain is preferred.

Proven experience building and deploying AI/ML solutions in production environments.

Technical Skills

Programming Languages

Python (Mandatory)

Java (Preferred)

AI/ML Frameworks

PyTorch

TensorFlow

Scikit-learn

Open-Source LLM Technologies

Experience with one or more of the following:

LangChain

LangGraph

Ollama

Hugging Face Transformers

Llama

Mistral

DeepSeek

Qwen

vLLM

FastAPI

Generative AI

Prompt Engineering

Fine-Tuning LLMs

Retrieval-Augmented Generation (RAG)

Embeddings

Vector Databases (FAISS, ChromaDB, Milvus, Pinecone, etc.)

Model Evaluation and Optimization

Additional Skills

Docker

Kubernetes (Preferred)

REST APIs

Git

Linux

CI/CD pipelines

Core Competencies

Strong analytical and problem-solving skills.

Excellent understanding of AI/ML concepts and LLM architectures.

Ability to communicate technical concepts to non-technical stakeholders.

Strong interpersonal and collaboration skills.

Self-motivated with a passion for continuous learning and innovation.

Preferred Experience

Experience in any of the following areas will be an added advantage:

Banking & Financial Services applications

Fraud Detection

Credit Risk Assessment

Intelligent Document Processing

Loan Processing Automation

Customer Support Chatbots

Regulatory Compliance

OCR & Document AI

Agentic AI and Multi-Agent Systems

Interview Process

Round 1 – Technical Interview

Conducted by: Senior AI Engineer

Assessment includes:

Python Programming

Machine Learning Fundamentals

Open-Source LLMs

LangChain & RAG

Coding and Problem Sol…

Strong AI Engineer / Machine Learning Engineer profiles.

2

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

3

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

4

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

5

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

6

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

7

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

8

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

9

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

10

Mandatory (Age) - Candidate's Age should be below 30 Years

11

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

12

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

13

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

14

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies

15

Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.

Job Title : Generalist Fullstack Engineer (Java / Node.js / React / AI-Driven Engineering)

Experience : 5 to 10 Years

Location : Bengaluru (Koramangala) – Hybrid (3 Days WFO)

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

We are hiring a hands-on Generalist Fullstack Engineer for a high-impact engineering team. This is a 90% coding role focused on building scalable products across frontend, backend, cloud, and modern AI-enabled engineering practices.

Mandatory Skills :

Full Stack Development (Frontend + Backend), JavaScript / Java / Node.js / Python / Go, ReactJS or modern UI frameworks, Microservices, AWS, Docker, Kubernetes, SQL/NoSQL, CI/CD, Terraform (IaC), Automated Testing (TDD), AI-enabled software delivery, and strong hands-on coding experience.

Key Requirements :

• 5 to 10 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

• Develop and own production-grade full-stack applications.
• Build AI-first engineering workflows to improve delivery efficiency.
• Drive architecture decisions and engineering best practices.
• Deliver scalable cloud-native solutions.
• Collaborate across product, QA, design, and architecture teams.
• Improve system reliability through monitoring, automation, and testing.

Ideal Candidate :

✔ Strong end-to-end ownership (Frontend + Backend).

✔ Deep hands-on coding mindset (not people-management focused).

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

1. Technical Round – GT (Assemble)
2. Technical Round – Client
3. Technical Round – Client
4. HR Discussion & Offer

We are seeking a talented QA automation engineer to design testing procedures for our software applications. In this role, will be responsible for analyzing the functionality of applications and designing automated tests to validate their performance. You will also be required to identify bugs, install databases, and collaborate with the software design team.

To ensure success as a QA automation engineer, you should have advanced programming skills, a keen eye for detail, and excellent project management skills. A skilled QA automation engineer can design and write efficient test procedures for every software application.

QA Automation Engineer Responsibilities:

• Meeting with the software design team to discuss verification protocols.
• Identifying software application weaknesses and target areas.
• Sketching out ideas for automated software test procedures.
• Reviewing software bug reports and highlighting problem areas.
• Writing automation scripts and implementing software applications.
• Designing and installing software databases.
• Troubleshooting automation software and finalizing system procedures.
• Identifying quality issues and creating test reports.
• Collaborating with the design team to solve application faults.

QA Automation Engineer Requirements:

• Bachelor’s degree in computer science, software engineering, or a similar field.
• Previous experience working as a QA automation engineer.
• Advanced programming skills including automation systems and databases.
• Familiarity with programming script languages including Java and VBScript.
• Excellent analytical skills.
• Detailed knowledge of application functions, bug fixing, and testing protocols.
• Good written and verbal communication skills.
• Strong attention to detail.
• Good project management skills.

Design and implement an event-level media recommendation engine.

Build candidate recall based on event, venue, time phase, GPS range, media status, and audience type.

Implement visual similarity recall using image embeddings such as SigLIP.

Work with vector search engines such as Qdrant.

Design ranking scores based on freshness, geo distance, event phase, image quality, popularity, and user behavior.

Build recommendation logs for impression, click, dwell time, like, save, share, download, and group join.

Help design attribution analysis and feedback loops for continuous recommendation improvement.

Integrate the recommendation service with our Node.js backend and Flutter app.

Build APIs for feed ranking, similar media search, media upsert, and interaction tracking.

Help us move from rule-based ranking to data-driven ranking as usage grows.

AI Engineering Lead – Air Cargo Practice

Position Summary

Lead the company's Artificial Intelligence strategy, development, and deployment of AI powered solutions for air cargo revenue management, dynamic pricing, demand forecasting, and optimization. This role combines AI leadership, software engineering, data science, and airline cargo domain expertise to deliver innovative products that improve airline revenue, capacity utilization, and commercial decision-making.

Key Responsibilities -

• Define and execute the AI roadmap aligned with company strategy and product vision.
• Design and deploy AI, Machine Learning, Generative AI, and Agentic AI solutions.
• Build scalable AI platforms, MLOps processes, and governance frameworks.
• Collaborate with product, engineering, commercial, and customer teams.
• Lead and mentor AI engineers and data scientists.
• Support customer engagements, product demonstrations, and thought leadership.

Qualifications -

• Bachelor's or Master's degree in Computer Science, AI, Data Science, Operations Research, Engineering, or related field. -
• 10+ years of experience in AI/ML, software engineering, or advanced analytics.
• 3+ years leading AI, machine learning, or data science teams.
• Expertise in Python, Machine Learning, Deep Learning, Generative and Agentic AI, LLMs, optimization, and cloud platforms
• Experience deploying production-grade AI solutions. - Knowledge of revenue management, pricing, forecasting, or optimization systems.
• Air cargo, airline, logistics, or transportation industry experience preferred. Success Measures
• Deliver AI-powered pricing and revenue optimization capabilities.
• Improve forecast accuracy and pricing effectiveness.
• Launch Agentic AI solutions that automate commercial decision-making.
• Establish scalable AI engineering practices and governance.
• Position the company as an industry leader in AI-driven air cargo revenue management.

Ideal Candidate

A hands-on AI leader who can bridge advanced technology and business value, capable of leading a group of Data Scientists, engaging with airline executives, and delivering innovative AI solutions that drive measurable revenue and profitability improvements.

About the company

The client is building an AI-native platform for modern law firms.

Legal work is evolving rapidly, but much of the industry's workflow continues to rely on fragmented software and manual processes. The team is building an intelligent platform that helps law firms streamline work across the entire legal lifecycle, including document screening, drafting, filing, research, compliance, and other high-value legal workflows.

Their founding team combines deep expertise across both law and technology, giving us a unique perspective on how AI can fundamentally reshape legal operations while maintaining the precision and reliability that the profession demands.

We're looking for engineers who want to build products from first principles, move quickly, and help define the future of AI in legal technology.

About the role

We're hiring a Founding Software Engineer to help build the core platform from the ground up.

This is a high-ownership role. You'll work across backend systems, AI infrastructure, product architecture, and deployment, collaborating directly with the founders to design and ship features that reach customers quickly.

If you enjoy solving hard engineering problems, shipping fast, and working in a small, ambitious team, we'd like to talk.

What You'll Build

• AI-powered legal workflows for law firms
• Agentic systems for drafting, screening, and legal document analysis
• Reliable backend services and APIs
• Retrieval and knowledge systems for legal intelligence
• Evaluation pipelines to improve AI quality and reliability
• Internal developer tooling and scalable platform infrastructure

What We're Looking For

• 3-5 years of software engineering experience
• Strong Proficiency in at least one backend language: Python (FastAPI or Django), or Node.js
• Experience working with at least one database: MongoDB, PostgreSQL, MySQL, or another relational database
• Understanding of modern AI application architecture, including concepts such as: Agentic systems AI SDKs Retrieval-Augmented Generation (RAG) Prompt engineering Evaluation frameworks (Evals)
• Strong system design and problem-solving skills
• Ability to ship production-quality software quickly
• High ownership and bias toward execution
• Comfortable learning new technologies as the product evolves

Nice to Have

• Experience building products in Compliance, FinTech, RegTech, or LegalTech
• Experience deploying and operating AI-powered production systems
• Familiarity with cloud platforms and modern deployment workflows
• Experience working in an early-stage startup

What We Value

• High agency
• Strong engineering fundamentals
• Curiosity and continuous learning
• Fast execution without compromising quality
• Clear communication and collaborative problem solving

Why Join Us

• You'll be joining at the earliest stage of the company and will help shape both the product and the engineering culture.
• This is an opportunity to work directly with founders who combine legal and technical expertise, solve meaningful problems for the legal industry, and build AI systems that are used every day by legal professionals.
• If building from zero excites you more than maintaining legacy systems, we'd love to hear from you

Title - Sr Engineering Manager

Location –Remote

EGNYTE YOUR CAREER. SPARK YOUR PASSION.

Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 22,000+ customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters that are doers, thinkers, and collaborators who embrace and live by our values:

• Invested Relationships
• Fiscal Prudence
• Candid Conversations

ABOUT EGNYTE

Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com

The Monetization Infrastructure team is responsible for all the systems that power Egnyte’s back office: billing, customer intake, account lifecycle and many others. This highly crucial function combines strong business attachment with technical complexity due to Egnyte’s scale and strong pace of innovation.

WHAT YOU’LL DO:

• Lead the Monetization Infrastructure engineering group, reporting to the Platform Engineering VP.
• Be hands-on and lead from the front; provide technical inputs and direction to the group, acting as a check and balance on key technical decisions and helping shape technical direction. Participate and contribute to system designs and code reviews.
• Ensure high quality operation of the systems under your responsibility. Drive a culture of ownership and continuous operational improvement.
• Collaborate with key stakeholders, such as Finance, Product Management and other Engineering groups, to implement end-to-end use cases and support high quality of service.
• Champion fluent use of AI tools across the team and drive adoption of advanced AI-assisted software development lifecycle (SDLC) practices.

YOUR QUALIFICATIONS:

• Managed engineering teams of 15+ people in SaaS product companies, including experience leading managers.
• Hands-on: understand and be able to contribute to system designs. Past background as a staff engineer or architect with a track record of releasing widely adopted solutions.
• Past background in Python (mandatory) and Java (desirable).
• Understanding of cloud platforms (GCP, Azure or AWS) and infrastructure as code concepts is highly desirable.
• Experience in leading distributed teams.
• Fluent in applying AI tools across the engineering workflow, with a track record of driving advanced AI-driven SDLC adoption within a team.

BENEFITS:

• Competitive salaries
• Company equity depending on role and level
• Medical insurance and healthcare benefits for you and your family
• Fully paid premiums for life insurance
• Flexible hours and PTO
• Gym reimbursement
• Childcare reimbursement
• Group term life insurance

Equal Employment Opportunity

At Egnyte, we celebrate our unique differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Our global Egnyte Employee Communities (EECs) support representation and inclusion across our diverse workplace. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be. 

Any employees with questions or concerns about equal employment opportunities in the workplace are encouraged to bring these issues to the attention of hrategnyte.com. Egnyte will not allow any form of retaliation against employees who raise issues of equal employment opportunity. If employees feel they have been subjected to any such retaliation, they should contact hrategnyte.com. To ensure the workplace is free of artificial barriers, violation of this policy including any improper retaliatory conduct will lead to discipline, up to and including discharge. All employees must cooperate with all investigations conducted pursuant to this policy. 

Job Description: Software Engineer / Core Engineer - Java Full Stack (GCP)

Location: Sholinganallur, Chennai - Work From Office (WFO)only chennai candidate

Experience: 6+ years of IT experience with 4+ years in Software Development [Ideal: 6-10 years]

Education: Bachelor's Degree [B.E./B.Tech or equivalent]

Employment Type: Full Time

About the Role:

This is a Java Full Stack Developer role with a strong GCP requirement. We are looking for a hands-on Software Engineer / Core Engineer to design, build, and scale cloud-native full-stack applications. Java, Spring Boot, Angular, and GCP are mandatory skills for this position.

Mandatory Skills:

• Full Stack Java Development
• Java
• Spring Boot
• Angular
• Google Cloud Platform (GCP)
• REST APIs & Microservices
• Agile Software Development

Preferred Skills:

• Data & Analytics on GCP: BigQuery, Dataflow, Dataproc, Data Fusion, Cloud SQL, PostgreSQL
• Big Data & Orchestration: Apache Airflow, PySpark, Python
• IaC & DevOps: Terraform, Tekton, Maven, Gradle, SonarQube
• Frameworks & Tools: Spring Cloud, APIGEE, Swagger/OpenAPI
• UI/UX Collaboration

Roles & Responsibilities:

1. Design, develop, test, and deploy robust full-stack applications using Java, Spring Boot, and Angular.
2. Build and maintain scalable REST APIs and microservices-based architecture.
3. Develop responsive, high-performance Angular-based UI applications and collaborate with UI/UX teams for seamless user experience.
4. Design software architecture and end-to-end cloud-native solutions on Google Cloud Platform.
5. Work on GCP deployments, infrastructure setup, and cloud migration initiatives.
6. Follow and advocate Agile, TDD, CI/CD, and DevOps best practices throughout the SDLC.
7. Collaborate effectively with Product Owners, Architects, UI/UX teams, and cross-functional stakeholders.
8. Ensure application security, performance optimization, scalability, and high code quality with SonarQube, code reviews, and testing.

Ideal Candidate Profile:

• 6 to 10 years of total IT experience with strong hands-on development background.
• Strong expertise in Java, Spring Boot, Angular, and GCP - must have built production-grade applications.
• Hands-on experience with Microservices, REST APIs, CI/CD pipelines, and Cloud Deployment.
• Experience with Cloud SQL, PostgreSQL, and GCP data services is a plus.
• Good understanding of software architecture, distributed systems, and performance tuning.
• Excellent communication skills and proven experience working in Agile teams.
• Willingness to work from Sholinganallur, Chennai office (WFO).

What We Offer:

• Opportunity to work on cloud-native, large-scale platforms
• Agile and collaborative work culture
• Exposure to modern GCP data stack and DevOps ecosystem

Data Engineer — Recommendation Engine

About the Company

~~ is India's first Gaming Commerce company, pioneering a new way for 500M+ gamers—an audience growing at 19.6% YoY—to shop inside games.

It is a white-label SaaS plugin that integrates into casual and hyper-casual games, transforming in-game coins into real-world value. Players can redeem them for brand coupons, digital services, or even physical products inside fully customizable in-game stores.

For gaming studios, ~~ directly solves the industry's toughest challenge—low retention—while also boosting monetisation. For brands, it unlocks a massive high-attention audience that already spends billions on in-game experiences, enabling targeted engagement with measurable ROI. Unlike traditional ads, PlaySuper embeds commerce into gameplay itself, improving recall, conversion, and loyalty.

The Role

We're building a recommendation engine that surfaces the right products to the right player at the right moment inside our in-game store. A core challenge: we have limited in-app behavioural data today, so the system must rely heavily on external market signals to make great recommendations from day one.

As our first Data Engineer, you will own the data infrastructure that makes this possible. You'll build the pipelines that collect, process, and serve these signals into our real-time ranking system.

This is a foundational hire. The entire recommendation engine—from Deal Quality Scores to seasonal trends—depends on the pipelines you build.

What You'll Do

• Own external data pipelines—scrapers for Flipkart/Amazon bestseller rankings, PriceHunt/Smartprix for price benchmarking, Google Trends API for brand and category demand signals
• Build the Deal Quality Score pipeline—a daily batch job that computes a competitiveness score for every product in our catalogue, stored in Redis for sub-millisecond lookup at serving time
• Maintain a seasonal and festive calendar—structured data store for trend overlays (IPL, Diwali, back-to-school, etc.)
• Design and own the in-store event schema in ClickHouse that will power behavioural cohorts as in-app data accumulates
• Build ETL infrastructure (S3 + Spark/Glue) for longer-horizon trend and market data
• Own data quality and freshness SLAs—you are responsible when a signal the reco engine depends on breaks silently

What We're Looking For

• 3–5 years of data engineering experience, ideally at a startup or product company
• Strong Python—you write clean, production-grade pipeline code, not just notebooks
• Experience building and maintaining web scrapers or data collection pipelines at scale
• Hands-on experience with a workflow orchestrator—Airflow, Prefect, or equivalent
• Solid SQL; experience with ClickHouse or another OLAP database is a strong plus
• Familiarity with Redis as a serving layer—you understand TTL, key design, and cache invalidation
• Comfortable with AWS—S3, Glue, ECS; you can set up infra without needing DevOps help
• You care about data quality—you monitor pipelines, set up alerts, and feel responsible when something breaks

Strong Plus (Nice to Have)

• Experience with e-commerce or marketplace data—price intelligence, product catalogues, category taxonomy
• Familiarity with recommender system data patterns
• Experience with Spark or distributed processing for larger datasets
• Prior work on gaming or consumer mobile products

Location: Gurgaon

Compensation: Competitive salary with an opportunity to get meaningful equity

Reports to: CTO

Why PlaySuper?

• Your pipelines feed the system that directly drives real GMV for our studio partners
• Small team, fast decisions, no bureaucracy
• Work directly with the CTO on architecture and direction
• Direct impact visible within weeks of shipping

We are hiring for a Python Full Stack Developer |  ProjectPlace | Bengaluru, India

We’re looking for a full-stack engineer — backend-strong, frontend-capable — to join the ProjectPlace team in Bengaluru. You’ll work across the stack: evolving and rebuilding core foundation services (including the Logbook) on the backend, while also contributing to product features end-to-end with React and TypeScript on the frontend. 

Responsibilities:

• Design, build, and maintain scalable backend services in Python, with a focus on quality, performance, and maintainability. 
• Work on foundation services that provide a shared services platform in Planview — rebuilding and evolving them to meet growing product demands. 
• Build and maintain RESTful and GraphQL APIs consumed by frontend clients and external integrations. 
• Own data modelling and query optimization in PostgreSQL. 
• Build and maintain frontend features in React and TypeScript — contributing across the full stack on product initiatives. 
• Collaborate closely with product and design to deliver end-to-end features in an iterative, spec-driven way. 
• Use AI coding tools (Claude, Copilot, Codex) as a core part of your engineering workflow — not as a shortcut, but as a force multiplier. 
• Write clean, well-tested code; contribute to code reviews and help raise the engineering bar on your team. 
• Contribute to architectural decisions and technical direction for your domain. 

Qualifications:

• 4–10 years of professional software engineering experience. 
• Strong Python programming skills — you write idiomatic, production-grade Python. 
• Solid experience with PostgreSQL: schema design, query optimisation, indexing strategies. 
• Experience building and maintaining RESTful services; familiarity with GraphQL is a plus. 
• Working knowledge of React and TypeScript for frontend development. 
• Working knowledge of software design patterns and the ability to apply them pragmatically. 
• Proficiency with test-driven development (TDD) and unit/integration testing practices. 
• Experience working in an agile, collaborative engineering team. 
• Good communication skills — comfortable in async, cross-timezone collaboration

Great engineers aren’t built by watching.

They’re built by solving real problems.

At AbleCredit, interns don’t work on toy projects or isolated assignments. From your first few weeks, you’ll contribute to production systems used by enterprise customers, collaborate with experienced engineers, and learn what it takes to build reliable software at scale.

If you’re curious, enjoy building things, and want to accelerate your engineering career, we’d love to work with you.

What You’ll Build?

As an Engineering Intern, you’ll work alongside our engineering team to build and improve products used by real customers.

Depending on your interests and the team’s priorities, you’ll:

● Build backend services, APIs, and platform features.

● Develop user-facing features across our web applications.

● Work with databases, cloud services, and third-party integrations.

● Debug production issues and improve system reliability.

● Participate in code reviews and technical design discussions.

● Write clean, maintainable, and well-tested code.

● Learn how modern software is designed, built, deployed, and monitored.

Your work won’t be a demo project—it will ship to production.

What We’re Looking For?

We’re looking for people who enjoy solving problems more than collecting technologies on their résumé.

You’ll likely succeed if you:

● Are pursuing or have recently completed a Bachelor’s or Master’s degree in Computer Science or a related field.

● Have strong programming fundamentals and problem-solving skills.

● Understand data structures, algorithms, and object-oriented programming.

● Are comfortable with at least one programming language such as JavaScript, TypeScript, Python, Java, or Go.

● Understand the basics of databases, REST APIs, and Git.

● Learn quickly and enjoy exploring unfamiliar technologies.

● Communicate clearly and work well in a collaborative environment.

Bonus Points:

Experience with any of these is helpful but not required:

● Node.js, FastAPI, Spring Boot, or Django

● React and modern frontend development

● SQL and NoSQL databases

● AWS, GCP, or Azure

● Docker, Kubernetes, or CI/CD

● AI, LLMs, or workflow automation

Don’t worry if you haven’t worked with everything on this list. We care more about your ability to learn than your current toolkit.

What You’ll Learn?

During your internship, you’ll gain practical experience with:

● Building production software

● Backend engineering and API design

● Modern web application development

● Cloud infrastructure

● Distributed systems and asynchronous workflows

● Software testing and debugging

● Git-based development workflows

● Code reviews and engineering collaboration

You’ll also learn how engineering teams operate inside a fast-moving startup—from

turning ideas into products to shipping features used by customers.

Why Join AbleCredit?

You’ll join a small, high-ownership engineering team where your contributions matter from day one.

You’ll have the opportunity to:

● Build software used by real enterprise customers.

● Receive mentorship from experienced engineers.

● Learn modern engineering practices and tools.

● Work across the backend, frontend, and cloud stack.

● Take ownership of meaningful features instead of isolated tasks.

● Convert your internship into a full-time engineering role based on your

performance and available opportunities.

We Think You’ll Enjoy This Role If...

● You build side projects because you enjoy learning.

● You like understanding how systems work—not just using them.

● You’re excited to write code that reaches production.

● You ask questions, experiment, and learn quickly.

● You want an internship where you’ll build, not just observe.

Job Title: AI Developer

Location: Bangalore / Hyderabad

Experience: 5–7 Years

Notice Period: Immediate to 15 days Preferred

About the Role

We are looking for a skilled AI Developer to design, develop, and deploy Artificial Intelligence and Machine Learning solutions that solve real-world business problems. You will work closely with data scientists, engineers, and business stakeholders to build scalable AI-powered applications and pipelines.

Key Responsibilities

• Design and develop Machine Learning models, Deep Learning architectures, and NLP solutions for production use.
• Build and maintain end-to-end ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Integrate AI/ML models into existing applications and APIs.
• Fine-tune and evaluate Large Language Models (LLMs) for business-specific use cases.
• Collaborate with data engineers to ensure high-quality training data.
• Monitor model performance in production and implement retraining strategies.
• Research and evaluate emerging AI frameworks, tools, and technologies.
• Document models, experiments, and technical decisions.
• 
  

Required Skills & Experience

• 3+ years of experience in AI/ML development.
• Strong proficiency in Python.
• Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
• Experience with NLP frameworks such as Hugging Face, spaCy, and LangChain.
• Familiarity with LLMs and Prompt Engineering (OpenAI, Anthropic, Gemini, etc.).
• Experience deploying models using FastAPI or Flask (REST APIs).
• Strong understanding of Data Structures, Algorithms, and Statistics.
• Experience with AWS, Azure, or GCP and MLOps tools.
• Experience with Vector Databases such as Pinecone, Weaviate, or FAISS is an added advantage.

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com.

Job Description

We are looking for Senior AI Engineers with hands-on experience designing and deploying scalable AI solutions. In this role, you will be part of a cross-functional team working on cutting-edge projects involving Retrieval-Augmented Generation (RAG), agentic frameworks, and end-to-end MLOps workflows.

You’ll play a key role in developing AI applications using tools like LangChain, CrewAI, and Google ADK, while applying advanced prompt engineering techniques and ensuring robust monitoring and performance tracing. Your collaboration with other engineering will help align innovative AI systems with broader development goals.

What is this position about?

• Design, develop, and deploy AI solutions.
• Implement Retrieval-Augmented Generation (RAG) and fine-tuning techniques.
• Utilize and integrate AI frameworks like LangChain.
• Use advanced prompt engineering techniques to solve complex problems with LLMs.
• Build and manage agentic frameworks such as CrewAI and Google ADK.
• Apply MLOps best practices to streamline AI development workflows.
• Monitor and trace AI applications performance.
• Collaborate across teams to ensure alignment with traditional ML and AI methodologies.
• Work on end-to-end software engineering for scalable solutions.

Qualifications

• 4+ years of experience in building and deploying AI/ML or GenAI solutions in production environments.
• Strong experience with at least one major cloud platform (Azure, AWS, or GCP) for building and deploying AI/ML solutions.
• Experience with services such as Azure ML, AWS Bedrock/SageMaker, GCP Vertex AI, Databricks, or equivalent AI/ML platforms is preferred.
• Proficiency in Python and major ML frameworks (PyTorch, TensorFlow, Scikit-learn).
• Hands-on experience with RAG architecture, prompt engineering, and LLM-based application development.
• Experience with MLOps/LLMOps pipelines, model tracking, observability, and CI/CD using tools such as Azure DevOps, Jenkins, GitHub Actions, GitLab CI/CD, MLflow, or equivalent platforms.
• Familiarity with enterprise data integration and orchestration tools such as Azure Data Factory, Synapse, Databricks, Airflow, Kafka, or equivalent distributed data platforms.
• Strong backend engineering and API development experience using FastAPI, Flask, Node.js, or similar frameworks, with ability to build scalable AI-powered services and microservices.
• Excellent problem-solving, debugging, and collaboration skills.

Good to Have

• Experience building production-grade RAG systems using vector databases such as Pinecone, FAISS, ChromaDB, pgvector, Milvus, or Azure AI Search.
• Experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, MCP, or Google ADK.
• Familiarity with AI observability and evaluation tools such as LangSmith, Langfuse, RAGAS, MLflow, App Insights, or Prometheus/Grafana.
• Experience deploying AI systems using Docker, Kubernetes, serverless architectures, or container orchestration platforms.

Additional Information

• Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. 
• Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career.
• Idea Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future.
• Growth Chats: Dive into our casual "Growth Chats" where you can learn from the best—whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills.
• Snack Zone: Stay fuelled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing.
• Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program.
• Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.

We are seeking a Full Stack 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

Responsibilities:

• Working with the development team to deliver large-scale web applications.
• Working alongside project managers and clients.
• Work with the development team to troubleshoot the development environment, production environment, performance tune, and optimize code.
• Adhere to the code conventions strictly.

Requirements:

• Working knowledge of Python, Linux, and Debugging skills.
• Skills: RDBMS (MySQL, PostGreSQL), Shell Scripting, Web Server and Interpretors (nGinx, Apache, uwsgi, mod_python), GIT.
• Knowledge of Javascript/ JQuery, HTML/ CSS, JSON, AJAX, Google APIS (Maps, Charts).

Preferred:

• 3+ Years of experience overall.
• 3+ years of experience in Python scripting and Linux.

Required Qualifications

• 10+ years of experience in data science, marketing analytics, or applied measurement, with 4+ years directly managing and developing data scientists.
• Deep expertise in Marketing Mix Modeling (MMM): methodology, tooling, business integration, and stakeholder communication.
• Strong working knowledge of marketing attribution, incrementality testing, and causal inference methods (geo-testing, diff-in-diff, synthetic controls, uplift modeling).
• Experience with performance forecasting and budget optimization in a marketing context.
• Demonstrated ability to lead a team of data scientists—setting direction, developing careers, and maintaining a high bar for quality and impact.
• Proven ability to manage and influence senior stakeholders across functions and geographies.
• Strong executive communication skills: comfortable presenting complex methodology and business implications to senior marketing and business leaders.
• Deep proficiency in SQL and Python or R; experience operating in production analytics environments.
• Comfort operating in a globally distributed team environment with US-based counterparts.

Nice to Have

• Experience at a high-growth Indian consumer tech company
• Exposure to offline marketing analytics, brand measurement, or upper-funnel attribution.
• Experience scaling and modernizing legacy marketing measurement infrastructure.
• Familiarity with dbt, Databricks, Snowflake, Airflow, or comparable data infrastructure.
• Experience building or managing analytics teams across multiple geographies.

What Sets You Apart

• You build measurement frameworks that marketing leaders actually use to make decisions—not just deliver reports
• You develop high-performing teams, not just high-performing models
• You communicate across the spectrum—from walking an analyst through a causal design to presenting budget implications to a CMO
• You hold a high bar for analytical credibility while being pragmatic about delivery timelines
• You build strong cross-geography partnerships and make distributed teams work effectively
• You stay technically grounded even as your scope grows—you know when to go hands-on and when to step back
• 
  

About the role

You bring experience from organizations where marketing analytics is taken seriously—whether that’s a global technology company, an Indian consumer tech company, a data-driven marketing organization, or a specialist analytics firm. You understand the discipline of marketing science and the craft of building teams that do it well.

Required Qualifications

• 8+ years of hands-on experience in data science, marketing analytics, or applied measurement, Deep expertise in Marketing Mix Modeling (MMM): methodology, tooling, business integration, and stakeholder communication.
• Strong knowledge of marketing attribution, incrementality testing, and causal inference methods (geo-testing, diff-in-diff, synthetic controls, uplift modeling).
• Experience with performance forecasting and budget optimization in a marketing context.
• Proven ability to manage and influence senior stakeholders across functions and geographies.
• Strong executive communication skills: comfortable presenting complex methodology and business implications to senior marketing and business leaders.
• Deep proficiency in SQL and Python or R; experience operating in production analytics environments.
• Comfort operating in a globally distributed team environment with US-based counterparts.

Nice to Have

• Exposure to offline marketing analytics, brand measurement, or upper-funnel attribution.
• Experience scaling and modernizing legacy marketing measurement infrastructure.
• Familiarity with dbt, Databricks, Snowflake, Airflow, or comparable data infrastructure.
• Experience building or managing analytics teams across multiple geographies.
•  

What Sets You Apart

• You build measurement frameworks that marketing leaders actually use to make decisions—not just deliver reports
• You communicate across the spectrum—from walking an analyst through a causal design to presenting budget implications to a CMO
• You hold a high bar for analytical credibility while being pragmatic about delivery timelines
• You build strong cross-geography partnerships 
• You stay technically grounded even as your scope grows—you know when to go hands-on and when to step back

Company Name: WINIT

Location: Hyderabad

Experience: 0–2 Years

Role Overview

We are looking for a talented AI/ML Trainee to build intelligent automation solutions for Legal Process Outsourcing (LPO). The role involves leveraging Python, SQL, AWS, and Generative AI (LangChain, LLMs, RAG) to automate document-heavy workflows such as contract analysis, data extraction, and legal document processing.

Key Responsibilities

• Develop and deploy AI/ML models for legal document processing and automation.
• Build Python-based pipelines for data processing, automation, and model integration.
• Design and optimize SQL queries for efficient data management and reporting.
• Work with AWS services (S3, Lambda, EC2, Bedrock, etc.) for scalable deployments.
• Develop Generative AI solutions using:
• LangChain
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Implement document intelligence solutions (classification, summarization, entity extraction).
• Integrate AI models into business applications via APIs.
• Collaborate with cross-functional teams to understand automation needs.
• Ensure model performance, scalability, and data security.

Required Skills

• Strong proficiency in Python 
• Good knowledge of SQL.
• Understanding of machine learning fundamentals.
• Hands-on or conceptual knowledge of:
• LangChain
• LLMs
• RAG architectures
• Familiarity with AWS cloud platform.
• Basic understanding of NLP / text processing.

About WINIT

For more information, please visit: www.winitsoftware.com

Greeting from Nam info!

We have a job opportunity for HPC Expert ClearML & Confidential Computing , interested candidate & who is available for Final round F2F interview in Bangalore,

Role : HPC Expert ClearML & Confidential Computing

Exp : 5+years

Work Location : Bangalore

Notice period: Immediate - 15Days

Key Responsibilities

·      Administer ClearML Server, ClearML Agents, execution queues, projects, users, roles, experiment tracking, pipelines, datasets, artifacts, and model registry.

·      Configure ClearML Agents on CPU and GPU worker nodes and integrate them with Slurm, PBS Professional, Kubernetes, or equivalent HPC execution platforms.

·      Support GPU-based AI/ML workloads using NVIDIA drivers, CUDA, NCCL, UCX, and containerized environments.

·      Maintain secure container execution using Apptainer/Singularity, Docker, Enroot, Pyxis, or Kubernetes.

·      Implement confidential-computing controls using technologies such as AMD SEV-SNP, Intel TDX, NVIDIA Confidential Computing, Secure Boot, TPM, and remote attestation where supported.

·      Integrate authentication, RBAC, TLS certificates, secrets management, and audit controls for ClearML and confidential workloads.

·      Monitor ClearML services, agents, queues, GPU utilization, task failures, scheduler integration, and platform health.

·      Automate deployment, configuration, monitoring, and troubleshooting using Python, Bash, Ansible, and Git. 

What We Are Looking For

CLOUDSUFI is seeking a senior, hands-on AI Platform Architect to design and build production-grade platforms for generative AI, agentic systems, data-intensive applications, and analytical workflows. This is a builder-architect role. The successful candidate will define architecture, make technology decisions, develop reference implementations, review critical code and designs, and guide engineering teams from prototypes to secure, scalable production systems. We are looking for a builder-architect with strong engineering judgement and practical delivery experience. The right candidate can define platform direction, evaluate trade-offs, validate ideas through implementation, and guide systems into production. They should be equally comfortable discussing distributed architecture, reviewing code, diagnosing workflow failures, designing evaluation systems, and mentoring engineering teams.

Key Responsibilities-

AI and Agentic Platform Architecture

• Design platforms for single-agent and multi-agent systems supporting planning, reasoning, tool use, memory, delegation, validation, and human approval.

• Define orchestration patterns for deterministic, dynamic, event-driven, and long-running AI workflows.

• Establish clear boundaries between LLM reasoning, application logic, quantitative computation, rules, and human decision-making.

• Evaluate and adopt agent frameworks, model providers, tools, and orchestration technologies based on reliability, flexibility, performance, and cost. Knowledge and Data Systems

• Architect RAG pipelines, document-processing systems, vector search, hybrid retrieval, knowledge graphs, and semantic data layers.

• Integrate structured and unstructured enterprise data from APIs, databases, files, streams, and external platforms.

• Design reusable workflows for research, data collection, transformation, analysis, modelling, validation, and reporting.

• Establish data lineage, provenance, metadata, access controls, freshness, and quality standards. Evaluation, Observability and Governance

• Build evaluation frameworks for accuracy, relevance, groundedness, task completion, tool use, safety, latency, and cost.

• Enable systematic experimentation across models, prompts, agents, tools, retrieval strategies, and orchestration patterns.

• Implement versioning and lifecycle management for prompts, agents, workflows, datasets, knowledge bases, evaluations, and model configurations.

• Establish tracing, monitoring, auditability, guardrails, approval workflows, and production quality diagnostics.

Cloud and Platform Engineering

• Define cloud-native architectures using microservices, APIs, event-driven systems, queues, schedulers, and distributed processing.

• Lead Kubernetes-based deployment, containerisation, CI/CD, Infrastructure as Code, environment management, and release automation.

• Design for horizontal scalability, fault tolerance, resilience, security, data privacy, and high availability.

• Optimise model usage, infrastructure, storage, retrieval, and compute for performance, latency, and cost.

Technical Leadership

• Translate product and business requirements into clear technical designs and implementation plans.

• Build prototypes and reference implementations for high-risk or foundational platform capabilities.

• Review architecture, code, interfaces, data models, infrastructure, and operational readiness.

• Define engineering standards and reusable patterns across AI, backend, data, and platform teams.

• Mentor senior engineers and support teams in resolving complex technical and production issues.

Required Skills and Experience

• 10+ years of experience in software architecture, platform engineering, distributed systems, data platforms, or AI systems.

• Strong hands-on experience designing and building production-grade AI or data-intensive platforms.

• Deep understanding of LLM applications, tool calling, structured outputs, RAG, embeddings, memory, and agent orchestration.

• Strong experience with cloud platforms, Kubernetes, containers, microservices, APIs, event driven architecture, CI/CD, and Infrastructure as Code.

• Experience with relational, document, graph, vector, and distributed data systems.

• Practical experience implementing AI evaluation, experimentation, tracing, monitoring, guardrails, and lifecycle management.

• Strong understanding of security, identity, access control, secrets management, data protection, and production reliability.

• Ability to move effectively between architecture, code, infrastructure, debugging, and technical delivery.

Good to Have

• Experience building enterprise AI copilots, autonomous workflows, research platforms, or analytical systems.

• Experience with knowledge graphs, hybrid search, model gateways, tool gateways, or agent marketplaces.

• Familiarity with LLMOps, MLOps, model serving, feature stores, model registries, and distributed compute.

• Experience supporting real-time and batch data processing at scale.

• Experience comparing and operating multiple commercial and open-source models.

• Prior experience in consulting, client-facing architecture, or complex enterprise platform delivery. 

About the client

The client is a new AI startup founded by people who’ve spent decades in the broadcast and media world. They are building an AI‑driven video platform that can automatically generate highlights, promos, and story‑driven clips - something the industry has needed for years but never had the technology to do well.

They're early. No website yet. No corporate layers. Just a small, committed team building from scratch with deep industry backing and a very real problem to solve.

If you want to learn fast, build fast, and be part of the founding tech team, this is the place.

Role: Junior AI Engineer

As a Junior AI Engineer, you’ll work directly with the Senior AI Engineer and AI Architect to prototype, experiment, and help build the core AI engine.

This is a hands-on role where you’ll work with models, pipelines, APIs, and real product features from day one. You’ll be part of the team that takes the company from zero to one.

What You’ll Work On

• Model prototyping — experiment with CV, LLM, and generative models
• Model integration — plug open‑source models (CLIP, SAM, LLaMA, diffusion models) into our pipeline
• Data pipelines — build preprocessing flows for images, frames, and metadata
• Evaluation tooling — help design metrics for quality, consistency, and relevance
• Backend support — wrap models into simple APIs using FastAPI
• Cloud deployment — deploy experiments to AWS/GCP
• Documentation — keep experiments and findings clear and reproducible
• Collaboration — work closely with our Senior AI Engineer in weekly build cycles

What You Bring

• Strong Python + deep learning fundamentals
• Experience with CV or LLM projects (school, personal, or internship)
• Familiarity with PyTorch or TensorFlow
• Some exposure to cloud deployment (AWS/GCP)
• Curiosity, fast learning, and a builder mindset
• Clear communication and clean documentation habits

Nice to Have

• Experience with U‑Net, ResNet, CLIP, segmentation models
• LangChain / LangGraph / RAG pipelines
• FastAPI, WebSockets, Docker
• Interest in generative media (diffusion, image‑to‑video, etc.)
• Design intuition (Figma, Adobe Suite, Blender)

Why You’ll Love This Role

• You’ll be part of the founding AI team
• You’ll get direct mentorship from a senior engineer
• You’ll work on real product features, not side tasks
• You’ll see your work go into the prototype used for investors
• You’ll grow into a full‑time AI Engineer with ownership

Your First 4 Months:

Month 1 — Get Grounded

• Set up environment, repos, GPU, cloud
• Reproduce baseline models (CLIP, SAM, simple diffusion)
• Build a basic image/frame preprocessing pipeline
• Implement a simple LLM‑based storyline generator

Goal: Get comfortable with our stack and ship small pieces.

Month 2 — Build Core Pieces

• Own a small module (scene detection, keyframe extraction, etc.)
• Build CLIP‑based scoring prototype
• Create a first version of prompt orchestration
• Wrap models into internal APIs

Goal: Start contributing to the core engine.

Month 3 — Own a Subsystem

• Take full ownership of one subsystem
• Deploy a cloud‑based internal demo endpoint
• Build a simple evaluation dashboard

Goal: Operate more independently and contribute to the investor prototype.

Month 4 — Full‑Time Readiness

• Optimize your subsystem
• Contribute to the end‑to‑end prototype
• Document everything cleanly
• Propose next‑phase improvements

Goal: Demonstrate readiness for full‑time ownership.

Direct Responsibilities

• Develop microservices in Golang/Python with Docker & Kubernetes.
• Design and maintain REST APIs and Kafka-based event-driven systems.
• Optimize SQL databases and write automated tests (Cucumber).
• Use BitBucket, Jenkins & Artifactory for CI/CD.
• Troubleshoot and optimize system performance.
• Collaborate on Al/ML initiatives, including NLP, Agentic Al, and MLORS-

Job Title: QA Engineer – Manual Testing

Experience: 3 – 5 Years

Location: Mohali (Phase 8B, Industrial Area)

Company: 75WAY Technologies Pvt. Ltd.

Key Responsibilities

• Design, develop, and execute comprehensive manual test cases, test scenarios, and test plans.
• Perform functional, regression, integration, system, smoke, and sanity testing.
• Test AI/ML applications, including chatbot workflows, LLM-based features, recommendation engines, and intelligent automation systems.
• Validate AI-generated responses for accuracy, relevance, consistency, and edge-case handling.
• Test REST APIs using tools like Postman or Swagger.
• Identify, document, track, and verify defects using bug-tracking tools.
• Collaborate with developers, AI engineers, business analysts, and product managers to understand requirements and validate implementations.
• Conduct cross-browser, cross-platform, and responsive testing for web and mobile applications.
• Verify application performance from a functional perspective and ensure seamless user experience.
• Participate in sprint planning, requirement reviews, and release validation.
• Prepare detailed test reports and maintain testing documentation.
• Suggest improvements to QA processes and testing methodologies for AI-driven applications.

Job Description:

Pre-requisite skills required for a DevOps Engineer role include:

• 3+yrs exp in DevOps
• Experience working on Linux based infrastructure
• knowledge in AWS, docker, CI/CD tools
• Hands on exp in Python/shell scripting language
• hands on exp in AWS and Azure
• Work exp in Docker, Terraform, Ansible, Kubernetes, LINUX
• Excellent understanding of Ruby, Python, Perl, and Java
• Configuration and managing databases such as MySQL, Mongo
• Excellent troubleshooting
• Working knowledge of various tools, open-source technologies, and cloud services

We are hiring for a Senior Data Scientist II

Location: Bengaluru, India | Work Style: Hybrid (2 days/week in office) | Experience: 8+ years

About the Role:

We're on a journey to put AI at the center of how strategic decisions are made, and we're looking for a Senior Data Scientist to help lead the way.

You'll work on real, in-production AI experiences like Planview Anvi, used by enterprises to turn complex portfolios of work into clear, confident action. You'll join a team thinking years ahead about where AI and enterprise work are going, with the ownership to turn that vision into products customers rely on every day.

What You'll Work On:

• Natural language interaction — building systems that let users simply ask, and get instant, trustworthy insights
• Proactive intelligence — developing models that surface risks and opportunities before they surface themselves
• Adaptive decisioning — helping teams adjust course in real time as conditions change

Why This Role:

Most data science roles are about building models. This one is about building the intelligence layer that an entire category of enterprise software is being rebuilt around.

At Planview, we help the world's largest organizations plan and deliver their most important work, and we're in the middle of a multi-year push to put AI at the core of how those decisions get made.

As a Senior Data Scientist based in Bengaluru, you'll be hands-on shaping AI experiences already in production and used by real enterprises — like Planview Anvi — while helping define what comes next.

• Real users, real scale: your work ships to enterprise customers managing billions of dollars of work — not a demo, not a backlog experiment
• Frontier problems: natural-language interfaces over messy enterprise data, models that flag risk before humans see it, and systems that adapt plans as reality shifts
• Ownership, not hand-offs: you'll influence direction, not just execute tickets — senior enough to shape the roadmap, close enough to the product to see your work land
• A team playing the long game: we're building for where enterprise AI is going over the next several years, and want someone who wants to help steer that

Responsibilities:

• Enable Data Science features within Planview applications, working in a fast-paced startup mindset
• Collaborate closely with product management to enable Data Science features that deliver significant value to customers, ensuring these features are also optimized for operational efficiency
• Manage every stage of the AI/ML development lifecycle, from initial concept through deployment in a production environment
• Design and implement optimization models (e.g., resource-constrained scheduling, portfolio/project selection, simulation-based decision support) to solve complex planning and allocation problems at enterprise scale
• Contribute to agentic AI features — forecasting, risk-scoring, and recommendation models that power AI agents embedded in Planview products
• Provide leadership to other Data Scientists by exemplifying exceptional quality in work, nurturing a culture of continuous learning, and offering daily guidance in their research endeavors
• Effectively communicate ideas drawn from complex data with clarity and insight

Required Qualifications:

• Master’s degree in operations research, Statistics, Computer Science, Data Science, or a related field
• 8+ years of experience as a data scientist, data engineer, or ML engineer
• Demonstrable history bringing Data Science features to enterprise applications
• Exceptional Python and SQL coding skills — production-grade, not notebook-only
• Strong grounding in optimization (linear/integer programming, simulated annealing, heuristics, or similar) alongside Machine Learning, Generative AI, NLP, Statistics, and Simulation
• Experience with AWS Data and ML technologies (SageMaker, Glue, Athena, Redshift)
• Experience designing and building tool/service interfaces that other systems (including AI agents) can invoke reliably — API/service contract design, schema definition, and testing discipline
• Working understanding of agentic AI system architecture — how agents discover and call tools, how actions are scoped and tracked, and how outputs feed back into planning workflows.

Preferred Qualifications

• Experience working with datasets in the domain of project management, software development, and resource planning
• Experience with common data science libraries and frameworks (Scikit-learn, TensorFlow, PyTorch)
• Experience with ML platform tools (AWS SageMaker)
• Hands-on experience with MCP (Model Context Protocol) or similar tool-calling/agent-orchestration standards (e.g., A2A, LangChain tool interfaces)
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex) and vector database experience (Pinecone, Weaviate, OpenSearch)
• Exposure to evaluation frameworks for GenAI features
• Prior experience mentoring or leading data scientists
• Comfortable working as part of a global, diverse workforce of high-performing individuals
• AWS Certification is a plus

Team & Culture:

You'll join a global, distributed Data Science team spanning Bengaluru and Austin. We move fast, ship real AI to real enterprise users, and go all-in on agentic systems — without taking ourselves too seriously. Startup speed, prototype-to-production mindset, and a genuine focus on having fun while we build.

Growth:

This role offers a clear path to grow into a Principal Data Scientist as you take on greater scope and impact.

Interview Process:



Our process typically includes an initial conversation to assess fit, a technical assessment, one or more in-depth technical/case discussions, and final conversations with cross-functional stakeholders. 

Are you a Python-savvy developer with experience & portfolio of working on python, AI, ML projects looking to work on innovative projects? Look no further! SJTech Solutions is seeking an ambitious and talented candidate to join our dynamic team. 

Key responsibilities:

1. Develop and implement AI models using Python, Machine Learning, Data Science, and Deep Learning techniques.

2. Working on deep learning and machine learning algorithms

3. Working on automation scripts

4. Working on supervised and unsupervised learning algorithms

5. Stay up-to-date with the latest advancements in AI technology and trends.

If you are passionate about AI and eager to work and grow in a fast-paced environment, we want to hear from you! Apply now!

Roles & Responsibilities

• Lead AI Product Pods across Credit Risk, Fraud, and Collections functions.
• Build and deploy production-scale Machine Learning systems for lending lifecycle decisioning.
• Own complete ML lifecycle including feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.
• Design scalable distributed ML infrastructure, feature stores, model registries, and MLOps pipelines.
• Develop AI solutions for underwriting, portfolio risk monitoring, fraud detection, anomaly detection, and recovery optimization.
• Drive model governance, monitoring, explainability, and compliance within BFSI regulatory standards.
• Collaborate with Product, Risk, Engineering, Data, and Business teams to deliver AI-driven business outcomes.
• Define AI platform architecture, operational excellence, SLAs, and incident management practices.
• Build, mentor, and scale high-performing AI Engineering and Data Science teams.

Ideal Candidate

1.Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.

2.Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.

3.Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.

4.Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.

5.Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.

6.Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing

7.Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.

8.Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.

9.Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.

10.Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered

11.Mandatory (Age) - Candidate's Age should be below 37 years.

12.Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

13.Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.

14.Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.

15.Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.

We are seeking a Senior Android DevOps Engineer with 4+ years of specialized experience in mobile engineering pipelines. In this role, you will own, scale, and optimize our Android continuous integration and deployment (CI/CD) infrastructure. You will work closely with mobile development and QA teams to accelerate release cycles, ensure tight build security, and automate the journey from local code commit to the Google Play Store.

Key Responsibilities

1. ● Own CI/CD Infrastructure: Build, maintain, and scale robust mobile-specific CI/CD pipelines using platforms like Bitrise, GitHub Actions, or GitLab CI.
2. ● Automate Release Workflows: Design and implement end-to-end automation for Android builds (APK/AAB), test execution, and deployment using Fastlane and Gradle.
3. ● Manage Store Deployment: Oversee and automate app distribution via the Google Play Console, managing internal, closed testing, and production rollouts.
4. ● Secure Code Signing: Maintain the integrity of Android keystores, API keys, and certificates using secure secrets management tools.
5. ● Optimize Build Performance: Monitor and actively reduce build times, resolve dependency caching issues, and ensure infrastructure cost efficiency.
6. ● Quality & Observability Integration: Embed automated UI/unit testing (Espresso, Appium) and crash/performance tracking tools (Firebase Crashlytics, Sentry) directly into the pipeline.

Required Skills & Qualifications

1. ● Experience: 4+ years of dedicated experience in Mobile DevOps, Release Engineering, or Android Development with a heavy focus on infrastructure.
2. ● Build Systems: Deep, hands-on expertise with Gradle, ProGuard/R8, and the Android SDK.
3. ● Automation Tools: Advanced proficiency with Fastlane and scripting languages like Bash, Python, or Groovy.
4. ● Version Control: Solid understanding of version control best practices and Git branching strategies (e.g., Gitflow, Trunk-based development).
5. ● Problem Solving: Ability to diagnose and resolve build/environment issues independently.
6. ● Cloud & Containers: Solid understanding of Docker, cloud runners (AWS/GCP), and infrastructure as code.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master’s degree or PhD in Computer Science or a related field with a focus on Artificial Intelligence (AI) or Machine Learning (ML).
• 7 years of software experience designing and deploying large-scale AI/ML applications and complex models.
• Experience with MLOps, establishing best practices for production model monitoring, maintenance, and lifecycle management.
• Experience leading and mentoring engineers, and translating complex business objectives into scalable AI-driven roadmaps.
• Experience architecting scalable data pipelines using BigQuery, Beam, or Dataflow, and deploying models on Google Cloud Platform.
• Understanding of Python and frameworks like TensorFlow, JAX, and Scikit-learn, with deep statistical modeling knowledge.

About the job

The People Operations Engineering team is dedicated to building innovative and scalable technology solutions that empower a global workforce. Leveraging the power of data, AI, and machine learning, the team optimizes HR processes, enhances employee experiences, and drives organizational efficiency. Joining this team offers the opportunity to lead the application of AI to solve complex, real-world business challenges.

We are seeking a highly experienced and results-oriented Senior AI Software Engineer to join the Human Resources Engineering (HRE) team in Hyderabad.

In this role, you will serve as a technical leader, driving the design, development, and deployment of sophisticated AI-powered solutions that significantly impact employees across the organization. You will work on large-scale infrastructure, mentor a talented team of engineers, collaborate with cross-functional stakeholders, and help shape the future of HR through innovative AI applications. You will be responsible for translating complex business challenges and strategic objectives into scalable, efficient AI/ML systems.

As part of the Corporate Engineering organization, you will build world-class business solutions that support a global enterprise. The team delivers end-to-end platforms, tools, and experiences that enable employees to work more effectively and drive innovation across the organization.

Responsibilities

• Lead the technical design and architecture of complex, scalable AI/ML systems and infrastructure within the HR engineering domain, ensuring high reliability, performance, and long-term sustainability.
• Drive the development of advanced AI/ML algorithms for HR applications such as talent acquisition and employee engagement using Python and frameworks like TensorFlow and JAX.
• Architect large-scale data pipelines for data ingestion, cleaning, and feature engineering using modern data processing frameworks (e.g., Beam, Dataflow), while leading root cause analysis and system troubleshooting.
• Own the end-to-end MLOps lifecycle, including model deployment, monitoring, optimization, and maintenance, while establishing best practices for software development and code quality.
• Collaborate with cross-functional stakeholders to translate business needs into scalable AI/ML solutions, mentor engineers, and drive the adoption of emerging AI technologies across the organization.

Role Summary

We are seeking a skilled GenAI & Agentic AI Engineer with strong experience in building end‑to‑end AI/ML solutions, Generative AI applications, and agent‑based automation workflows. The ideal candidate will have a solid background in machine learning along with hands‑on expertise in LLMs, RAG, embeddings, vector databases, and Agentic AI frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.

Key Responsibilities

• Build and deploy GenAI applications using LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.).
• Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.
• Design and implement RAG pipelines, vector search solutions, and embedding‑based retrieval systems.
• Build scalable AI services using Python, FastAPI/Flask, and cloud platforms (Azure/AWS/GCP).
• Collaborate with cross‑functional teams to define use cases and convert them into production‑ready GenAI solutions.
• Implement hallucination reduction, prompt‑engineering strategies, and model evaluation methods.
• Integrate LLMs with enterprise applications, APIs, and automation workflows.
• Work with vector databases (FAISS, Pinecone, Chroma, Weaviate) for semantic search.
• Monitor, evaluate, and optimize GenAI models for accuracy, performance, and cost.

Required Skills & Experience

• 5+ years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation.
• 2+ years of hands‑on experience in Generative AI (LLMs, embeddings, RAG, LLM‑based apps).
• 6+ months of hands‑on experience with Agentic AI frameworks (CrewAI / AutoGen / LangGraph / LangChain Agents).
• Strong proficiency in Python and ML libraries (Scikit‑learn, Pandas, NumPy).
• Experience with OpenAI APIs, Azure OpenAI, HuggingFace, and prompt engineering.
• Familiarity with building scalable APIs using FastAPI, Flask, or Django.
• Hands‑on knowledge of cloud services (Azure/AWS/GCP) for AI deployment.
• Strong understanding of REST APIs, microservices, and integration patterns.
• Experience with Git, CI/CD, Docker, and model deployment best practices.

About the Role:

We are looking for a hands-on Senior Backend Engineer who can own complex product and platform problems end-to-end. You will work across AI agents, workflow orchestration, enterprise integrations, and distributed systems that operate reliably in real-world IT environments.

This role requires strong engineering judgment, product thinking, and the ability to transform ambiguous requirements into scalable, production-ready systems.

Key Responsibilities

• Build the core platform powering agentic IT operations.
• Design reliable multi-step workflows with retries, approvals, rollback mechanisms, and recovery.
• Develop AI pipelines for intent understanding, planning, validation, and execution.
• Build integrations with Microsoft 365, PSA, RMM, and other IT management platforms.
• Design secure, scalable multi-tenant enterprise systems.
• Improve production observability, monitoring, and reliability.
• Own major features from architecture and development through deployment and production support.
• Mentor engineers and contribute to raising the technical standards of the team.

Required Skills & Experience

• 8+ years of experience building backend platforms, distributed systems, or enterprise applications.
• Strong software engineering fundamentals and system design expertise.
• Experience building REST APIs, asynchronous/event-driven systems, databases, and cloud-native applications.
• Strong problem-solving skills with the ability to independently drive solutions in ambiguous environments.
• Excellent debugging, production engineering, and ownership mindset.
• Comfortable using AI coding assistants while independently validating code quality and correctness.

Preferred Technical Stack

Languages & Frameworks

• TypeScript
• Node.js
• Python

Databases & Messaging

• PostgreSQL
• Redis
• Message Queues
• Event-driven architectures

Cloud & Infrastructure

• AWS
• Docker
• Terraform

Enterprise Integrations

• Microsoft Graph API
• Microsoft 365
• OAuth
• Webhooks
• PSA/RMM platforms

AI & Workflow Technologies

• Workflow engines
• State machines
• LLM Agents
• Retrieval-Augmented Generation (RAG)
• AI evaluation frameworks

What We're Looking For

• Strong backend engineering expertise with experience building scalable production systems.
• Deep understanding of distributed systems and platform architecture.
• Ability to own features from design through production.
• Product mindset with strong engineering ownership.
• Excellent collaboration and mentoring skills.

Why Join Neels AI?

• Build the operating layer for the next generation of IT services.
• Work on AI systems that take real-world actions—not just generate text.
• Solve challenging problems across AI, infrastructure, security, and enterprise automation.
• Join at an early stage and influence product direction, architecture, and engineering culture.
• Work directly with experienced founders and global enterprise customers.

Job Description – Lead Data Engineer (AWS + Big Data)

Location: Pune - Hybrid

Experience: 8+ Years

Role Overview

We are looking for a Lead Data Engineer with strong hands-on expertise in AWS-based Big Data platforms. The ideal candidate should have extensive implementation experience in designing and building scalable data pipelines, mentoring engineering teams, and driving technical delivery. Databricks exposure is mandatory, while deep implementation experience in Databricks is not essential. Candidates with HBase experience will be preferred.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT solutions on AWS.
• Build and optimize Big Data applications using Spark/PySpark, HBase, Hive, Kafka, and related technologies.
• Work with AWS services such as S3, Glue, Lambda, IAM, and CloudWatch for cloud-native data engineering.
• Lead technical implementation, mentor engineers, conduct code reviews, and drive engineering best practices.
• Ensure data quality, performance optimization, CI/CD adoption, and production support.

Required Skills

• Strong hands-on experience with AWS (S3, Glue, Lambda, IAM, CloudWatch)
• Apache Spark (PySpark/Scala) and Big Data ecosystem
• Databricks exposure (mandatory)
• HBase (strongly preferred)
• Python or Java, Advanced SQL
• ETL/ELT development and Data Warehousing concepts
• Apache Airflow or similar orchestration tools
• Git, CI/CD, Performance Tuning, and Data Quality

Good to Have

• Kafka / Spark Structured Streaming
• Hive, Impala, Hadoop ecosystem
• Delta Lake / Lakehouse concepts
• Snowflake or other modern cloud data platforms

Experience Required

• 8–14 years of Data Engineering experience with strong AWS implementation expertise.
• Proven experience leading technical delivery and mentoring engineering teams.
• Strong understanding of enterprise-scale data platforms and Big Data architectures.
• Ability to collaborate with architects, stakeholders, and cross-functional teams to deliver scalable solutions.

NOTE: Final Technical round is mandatory to be taken F2F from Pune, office.

Job Role- Sr. Backend Developer (Python –Django)

Work Experience – 3-5years Roles and Responsibilities

• Understanding product requirements and convert to code

• Resolving bugs

• Stay on top of the product to ensure performance and scalability

• Ensure code quality and maintainability by following best practices and coding standards.

• Understand and keep the technical documentation up-to-date

• Implement RESTful APIs and integrate with front-end components and third-party services

• System architecture and design skills

Mandatory Experience:

• 3+ years of experience in REST API development with any Python based frameworks (Django, Django REST framework (DRF).

• 3+ years of experience in web development with Python

• 3+ years of experience with MySQL, PSQL

• 3+ years of experience with Git

• 3+ years of database programming experience (Postgres, SQL, ability to write complex queries)

• 3+ years of experience with Agile development cycle Good to have

• Contribution in any open-source projects

• Experience or understanding with DevOps

• Experience with agile development methodologies like Scrum

• API design & creation (e.g. OpenAPI)

• Experience in Test Driven Development

• Experience working in a product-based company Behavioral Skills

• Incessant problem solver

• Driven and eager to learn

• Optimistic and open to receiving feedback

• Highly organized and able to multitask

• Self –Starter to help with the design and programming of web applications. ∙

• Superior analytical and problem-solving skills

• Outstanding written and verbal communication skills

• Able to work in fast pace continuously evolving environment and ready to take up uphill challenges

• Able to understand cross cultural differences and can work with clients across geographies

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.

Tech Stack :

• Python (Django / Flask / FastAPI)
• PostgreSQL / MySQL
• Redis / caching systems
• REST APIs

Job Responsibilities :

• Develop and maintain scalable, robust backend systems using Python frameworks.
• Work closely with product managers and other cross-functional teams to help define, scope, and deliver world-class products and high-quality features addressing key user needs.
• Translate requirements into system architecture and implement code while considering performance issues of dealing with billions of rows of data and serving millions of API requests every hour.
• Ability to take full ownership of the software development lifecycle from requirement to release.
• Writing and maintaining clear technical documentation enabling other engineers to step in and deliver efficiently.
• Embrace design and code reviews to deliver quality code.
• Play a key role in taking Trendlyne to the next level as a world-class engineering team.
• Develop and iterate on best practices for the development team, ensuring adherence through code reviews.
• As part of the core team, you will be working on cutting-edge technologies like AI products, online backtesting, data visualization, and machine learning.
• Proficient understanding of the performance of web and mobile applications.

Job Requirements :

• 1+ years of experience with Python and Django / Flask / FastAPI.
• Good knowledge of APIs, databases, and system performance.
• Strong understanding of relational databases like PostgreSQL or MySQL and Redis.
• 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.

Job description:

Interview Venue: H-28, ARV Park, Sector 63, Noida, Uttar Pradesh 201301

Job location: Noida

Experience: 1-3 years

Education: B.Tech or MCA

The procedure for the interview will be as follows:

• 1st Round - Machine Round
• 2nd Round- Communication Round
• 3rd Round – Technical Round
• 4th Round - HR Round

Job Description:

• Profile: Odoo Developer
• Experience: 2-5 yrs
• Qualification : B.Tech/MCA
• Working Days: 5
• Job Nature: Permanent

Job Description :

• Identifying the requirement and proposing a good alternative solution to the client's requirements.
• Design and develop Odoo apps(new module development, customization).
• Consistently create quality software that meets specific design and requirements on stated timelines.
• Enhance applications, and develop and configure features and functionalities that support business requirements.
• Be involved in the Odoo project and community

Required Skills :

• Knowledge of Python programming and SQL language.
• JavaScript development is a plus.
• Odoo framework knowledge.
• Experience working on Linux systems is a plus.
• Knowledge of the Software Development Life Cycle in an Agile environment, quality assurance, and software testing.
• Good communication in English.
• Passion for software design and development.
• Contribution to Open Source Projects.

Perks&Benefits:

• Employees & Family Health Insurance, EPF & ESIC.
• Free late-night meal facility.
• Innumerable in house & outdoor party.
• Various compensations & bonuses.
• No dress Code.
• Festival Celebration.
• Employees' B'day celebration.

Benefits:

• Flexible schedule
• Health insurance
• Leave encashment
• Paid sick time
• Provident Fund

Software Engineer – AI/ML to build next-generation AI solutions for the Higher Education domain. You will work on LLM-powered applications, AI Agents, RAG systems, and intelligent automation for our enterprise SaaS platform.

Required Skills

• Strong Python programming and software engineering skills
• Hands-on experience with LLMs (GPT, Claude, Gemini, Llama, Mistral, DeepSeek)
• Experience with LangChain, LlamaIndex, AI Agents, and RAG
• Knowledge of PyTorch/TensorFlow and Hugging Face
• Experience with FastAPI, REST APIs, and Microservices
• Hands-on experience with Vector Databases (Pinecone, Qdrant, ChromaDB, pgvector)
• Experience with AWS (Bedrock, SageMaker, EC2, Lambda, S3)
• Docker & Kubernetes
• Strong understanding of System Design and scalable AI applications

Preferred Skills

• Agentic AI & MCP (Model Context Protocol)
• Prompt Engineering & Fine-tuning
• Enterprise AI application development
• Experience in EdTech or SaaS products

What You'll Build

• AI Agents and intelligent workflows
• RAG-based enterprise search solutions
• LLM-powered applications
• Scalable AI APIs and microservices
• AI features for enterprise SaaS products

If you're passionate about building production-grade AI systems and working with the latest Generative AI technologies, we'd love to hear from you.

Python Machine Learning Engineer / Data Scientist (GCP)

Experience: Typically 6–10 Years (based on JD complexity)

Primary Skills: Python, Machine Learning, Data Analysis, Google Cloud Platform (GCP)

Must-Have Skills (ON)

• Python
• Machine Learning
• Data Analysis
• Exploratory Data Analysis (EDA)
• Google Cloud Platform (GCP)
• BigQuery
• Vertex AI
• Cloud Storage
• Cloud Functions
• Pandas
• NumPy
• Scikit-Learn
• TensorFlow OR PyTorch
• Statistical Analysis
• Predictive Modeling
• Business Stakeholder Management
• Requirement Gathering
• Root Cause Analysis
• Data-Driven Decision Making

Role: Data Science with GCP

Locations: Chennai

Employment Type: Full Time with NAM Info Pvt Ltd (Payroll)

Job Summary:

The ideal candidate should have strong expertise in Python| Machine Learning| Data Analysis| and Google Cloud Platform (GCP). This role requires close collaboration with business stakeholders to understand business challenges| translate requirements into actionable business cases| identify opportunities for improvement| and develop data-driven solutions that deliver measurable business value.

Responsibilities:

• Business & Stakeholder Management
• Engage with business stakeholders to understand business problems| goals| and requirements.
• Translate business requirements into clear analytical and machine learning use cases.
• Formulate business cases and define success metrics for proposed solutions.
• Collaborate with cross-functional teams including Product| Engineering| Operations| and Business teams.
• Data Analysis & Problem Identification
• Analyze existing applications| systems| and business processes to identify inefficiencies and improvement opportunities.
• Perform root cause analysis on business and operational challenges.
• Conduct exploratory data analysis (EDA) to discover trends| patterns| and anomalies.
• Generate actionable insights that support strategic business decisions.
• Machine Learning & Advanced AnalyticsDesign| develop| train| and deploy Machine Learning models.
• Implement predictive| classification| recommendation| forecasting| and anomaly detection solutions.
• Data Engineering & CloudWork with structured and unstructured datasets from multiple sources.
• Utilize GCP services such as:
• BigQuery
• Vertex
• AICloud Storage Cloud Functions

Technical Skills

• Strong proficiency in Python.
• Hands-on experience with: Pandas NumPyScikit-Learn TensorFlow/PyTorch, Matplotlib, Seaborn
• Strong understanding of: Machine Learning algorithms, Statistical analysis, Predictive modelling
• Hands-on experience with Google Cloud Platform (GCP).
• Knowledge of data visualization tools such as: Power BI/Tableau

Job Title : Data Platform Engineer (SDE 2 / SDE 3)

Experience : 3 to 8 Years (SDE2 : 3 to 5 Years | SDE3 : 5.5 to 8 Years)

Location : Remote (Contract) → Pune (Post Conversion)

Employment Type : Contract-to-Hire (3 Months)

Mandatory Skills :

Java / Python / Go, SQL, Data Engineering, ETL / ELT, Apache Airflow, Apache Spark / Flink, Kafka, AWS/GCP/Azure, Distributed Systems, API Development, Docker, Kubernetes, CI/CD, System Design

Role Overview :

We are looking for a Data Platform Engineer with strong backend engineering expertise to build scalable, high-performance data platforms and distributed systems. The ideal candidate should have hands-on experience in developing production-grade backend applications along with designing and maintaining modern data pipelines.

Key Responsibilities :

• Build and maintain scalable ETL/ELT and data processing pipelines.
• Develop backend services and APIs using Java (preferred), Python, or Go.
• Design batch and real-time data pipelines using Spark, Flink, Kafka, and Airflow.
• Optimize SQL queries, data models, and distributed data systems.
• Work with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes).
• Implement CI/CD, monitoring, logging, and performance optimization.
• Collaborate with product and engineering teams on scalable system design and architecture.

Required Qualifications :

• SDE 2 : 3 to 5 years of Backend + Data Engineering experience.
• SDE 3 : 5.5 to 8 years of Backend + Data Engineering experience.
• Strong coding skills in Java (preferred), Python, or Go.
• Excellent SQL and data modeling knowledge.
• Hands-on experience with Airflow, Apache Spark / Apache Flink, or similar technologies.
• Experience building scalable backend services and APIs.
• Good understanding of distributed systems, system design. and scalable architecture.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Hands-on experience with Docker and Kubernetes.
• Strong understanding of CI/CD pipelines.
• Excellent problem-solving and debugging skills.

Good to Have :

• Experience with Snowflake, BigQuery, or Redshift.
• Understanding of Kafka, Kinesis, or Pub/Sub
• Performance optimization of large-scale distributed systems
• FinTech or high-scale distributed systems experience.
• Knowledge of data governance, security, and compliance.

Preferred Candidate Profile :

• Strong Backend + Data Engineering experience
• Experience building scalable production systems
• Strong ownership mindset
• Good system design knowledge
• Experience processing millions of events using Kafka/Spark
• Built APIs supporting data infrastructure
• Production engineering experience

Interview Process :

1. Take-home Coding Assignment (48 Hours)
2. Leadership & Strategy Round (1 Hour)
3. Technical Depth – Data Engineering & Performance (1 Hour)
4. Culture & Values Fit (30 Minutes)

Company Description

We are seeking a QA Engineer to join our engineering team and support the validation of AI-assisted software testing. In this role, you will work closely with senior engineers to evaluate AI-generated test scenarios, validate outcomes, identify inconsistencies, and provide structured feedback that improves product quality and AI model performance.

This is an excellent opportunity for professionals who are detail-oriented, analytical, and interested in working at the intersection of Quality Assurance and Artificial Intelligence.

Job Description

• Execute AI-generated test scenarios against historical job packages and validate expected outcomes.
• Perform manual verification of AI-generated results to determine whether test scenarios have passed or failed.
• Review AI-generated evidence and identify false positives, false negatives, inconsistencies, or missing validations.
• Document defects, observations, and actionable feedback for engineering and product development teams.
• Collaborate with senior QA engineers and software developers to improve product quality and AI testing capabilities.
• Re-test resolved issues and verify fixes as new builds become available.
• Maintain detailed testing documentation and ensure traceability of validation results.
• Participate in QA reviews and continuously contribute to improving AI-assisted testing processes.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 5–8 years of experience in Software Quality Assurance, Manual Testing, or QA Analysis.
• Strong attention to detail with excellent analytical and problem-solving skills.
• Ability to interpret test results and identify discrepancies.
• Experience documenting defects and working with engineering teams to resolve issues.
• Good written and verbal communication skills.
• Familiarity with software testing methodologies and defect lifecycle management.
• Exposure to Agile development environments is preferred.
• Experience with AI-assisted testing or automation tools is an added advantage but not mandatory.

Job Description – Backend Python Developer 

We are looking for a talented and motivated Python Developer to join our development team. The ideal candidate will be responsible for writing scalable and efficient backend applications, developing APIs, and collaborating with cross-functional teams to deliver high-quality software solutions. 

Key Responsibilities 

* Develop, test, and maintain scalable Python applications and backend services. 

* Design and implement RESTful APIs and integrate third-party services. 

* Collaborate with frontend developers, designers, and project managers. 

* Write clean, reusable, and efficient code following best practices. 

* Debug, troubleshoot, and optimize application performance. 

* Work with databases and ensure data security and integrity. 

* Participate in code reviews and software development lifecycle activities. 

Required Skills & Qualifications 

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

* Proven experience as a Python Developer or Software Developer. 

* Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. 

* Experience with REST APIs, JSON, and microservices architecture. 

* Familiarity with SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB. 

* Knowledge of version control systems such as Git. 

* Understanding of cloud platforms and deployment processes is a plus. 

* Strong analytical and problem-solving skills. 

Preferred Qualifications 

* Experience with Docker, Kubernetes, or CI/CD pipelines. 

* Knowledge of frontend technologies such as React.js or Angular. 

* Understanding of Agile/Scrum methodologies. 

* Portfolio or GitHub projects showcasing Python development expertise.

Must-Have Skills

• Minimum 3 years of experience in Data Engineering / Analytics Engineering / Fintech Data roles
• Must have worked on SMS Parsing, intelligent platform, converting RAW customer SMS data into structured actionable financial signals and enabling downstream usage of SMS derived variables
• Must have established a continuous learning cycle to expand parser coverage
• Experience in Lending / NBFC / Fintech domain
• Experience working with Bureau, SMS, Device, or Banking data
• Strong Python and SQL (production level)
• Experience handling unstructured data (SMS, logs, JSON, APIs)
• Experience building data pipelines, schedulers, and cron jobs
• Strong database design and data modelling skills
• Ability to work in a startup environment with high ownership
• Familiarity with modern platforms like AWS, Snowflake, Google BigQuery, Redshift

Good to Have

• Experience in STPL, especially less than 25K ticket size
• Experience with streaming (Kafka/Kinesis) and orchestration (Airflow or Step Functions)
• Experience with feature stores and risk analytics datasets
• Knowledge of regex, NLP basics for SMS parsing
• Experience supporting real-time decision engines/underwriting systems

Role Summary

This role will be responsible for owning the end-to-end data-structuring layer across the organisation. The individual will transform large volumes of raw, unstructured, and semi-structured data (such as SMS, device, bureau, and app data) into clean, standardised, and analysis-ready datasets. These structured datasets will directly power risk analytics, fraud detection, marketing insights, collections strategy, and policy decisioning.

Key Objective of the Role

Ensure all raw lending data (SMS, Bureau, Device, AA, App logs) is captured, parsed, structured, and stored in a clean analytics-ready format inside databases (PostgreSQL, DynamoDB, AWS stack) so that the Risk and Data Science team can directly use it for feature creation, policy building, and portfolio monitoring.

Core Responsibilities

1. End-to-End Data Ownership

• Design, build, and maintain end-to-end data pipelines (batch + streaming) using AWS native services (Glue, Lambda, Step Functions, Kinesis, S3, Athena, Redshift, EMR/Spark, etc.): ingestion

→ parsing → structuring → storage

• Work closely with Tech, Product, and Data Science to define what data should be captured
• Maintain data documentation, data dictionaries, and schema governance
• Ensure data quality, consistency, and version control

1. Unstructured Data Processing (Highest Priority)

• Parse raw SMS dumps and categorise into salary, EMI, loan apps, collections, credits, debits, OTP, etc.
• Process device fingerprint, behavioural logs, and vendor data (FinBox, AA, Bureau APIs)
• 
  
• 
  
• Convert JSON, logs, and raw API responses into structured feature tables
• Build regex/keyword-based parsers for financial SMS classification

1. Feature Implementation (From Risk & Data Science Team)

• Implement feature creation logic provided by Risk/Data Science team
• Translate business and policy logic into SQL/Python pipelines
• Create reusable feature layers for underwriting, fraud, collections, and monitoring
• Maintain a feature store for consistent model and policy usage

1. Lending Data Understanding (Domain-Specific Requirement)

• Work with Bureau data
• Structure SMS-derived financial variables (income, stress, EMI signals)
• Work with Account Aggregator and bank transaction datasets
• Understand fintech alternate data used in underwriting and fraud detection

1. Data Pipelines & Automation

• Build and maintain ETL/ELT pipelines using Python & SQL
• Create cron jobs for automated data ingestion and feature refresh
• Automate vendor data pulls (Bureau, SMS SDK, AA, device data)
• Ensure low-latency pipelines for real-time underwriting use cases

1. Database Structuring & Storage Architecture

• Structure clean datasets in PostgreSQL (analytics layer)
• Manage raw data storage in DynamoDB / S3 data lake
• Design normalized and denormalised tables for risk analytics
• Optimise database performance for large-scale query workloads

1. Dashboards & Readable Data Layer

• Create analytics-ready datasets, implement & write Metabase queries and convert into dashboards (Metabase / Power BI)
• Enable self-serve data access for Risk, Business, and Founders
• Support ad-hoc analysis requirements from leadership

1. Cross-Functional Collaboration (Very Important)

• The role requires close collaboration with data science, tech, product, and business teams to ensure reliable data pipelines, well-defined schemas, API integrations, logging architecture and high data quality, enabling faster and more accurate decision-making across lending workflows.

Tech Stack (Current Environment)

• AWS Services
• PostgreSQL (Primary analytics DB)
• DynamoDB (Raw/NoSQL storage)
• Python (Pandas, NumPy, ETL frameworks)
• Advanced SQL
• APIs, JSON, and Log Data Handling

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.