50+ Python Jobs in India

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).

Location: Jaipur, Rajasthan (Work From Office)

Experience: 4+ Years

Job Type: Full-Time

We're looking for an AI Assisted Developer who is passionate about building modern applications using AI-powered coding tools. You'll leverage AI to accelerate development while delivering scalable, high-quality software solutions.

Key Responsibilities

• Build scalable web applications, APIs, and automation workflows.
• Leverage GitHub Copilot, Cursor, Claude Code, ChatGPT, and similar AI tools to improve development productivity.
• Optimize AI prompts and workflows for efficient coding.
• Apply best practices in system design, TDD, debugging, testing, and code reviews.
• Collaborate with Product, QA, and DevOps teams to deliver high-quality software.
• Stay up to date with emerging AI development tools and technologies.

Requirements

• 4+ years of software development experience.
• Proficiency in Python, JavaScript/TypeScript, or Go.
• Experience with React, Node.js, or modern development frameworks.
• Hands-on experience with GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar AI coding tools.
• Strong understanding of Git, CI/CD, SQL/NoSQL, system design, and software engineering principles.
• Excellent problem-solving and communication skills.

Preferred: Experience with LangChain, LangGraph, OpenAI APIs, FastAPI, Agentic AI, MCP, Prompt Engineering, AI Automation, or AWS/Azure/GCP.

Apply Now

Application Form: https://zfrmz.com/pAKb2ynfomIsuNwRfRbV?utm_source=cutshort

Location: Jaipur (Work From Office)

Employment Type: Full-Time

We're looking for a GenAI Engineer (LLM Engineer) to build scalable AI-powered SaaS applications using Large Language Models (LLMs). You'll develop intelligent AI workflows, integrate LLMs into production systems, and build secure, high-performance AI solutions.

Key Responsibilities

• Integrate LLM APIs (OpenAI, Claude, Hugging Face) into production applications.
• Design and optimize RAG pipelines and prompt engineering workflows.
• Build and manage Vector Databases (Pinecone, Weaviate, pgvector).
• Optimize AI performance, latency, and operational cost.
• Ensure secure, scalable AI architecture.
• Collaborate with Product and Engineering teams to deliver AI-powered features.

Requirements

• 3+ years of backend development using Python, Go, or Node.js.
• Hands-on experience with LLMs, LangChain or LlamaIndex.
• Strong understanding of RAG, Prompt Engineering, and Vector Databases.
• Experience with AWS, GCP, or Azure.
• Knowledge of APIs, Microservices, and AI application development.

Preferred: Experience in SaaS/FinTech, LLMOps, or Model Fine-tuning.

Education: B.Tech, BCA, or equivalent technical qualification.

Apply Now

Application Form: https://zfrmz.com/pAKb2ynfomIsuNwRfRbV?utm_source=cutshort

Skills Referential (Required knowledge, skills and abilities)

Technical Skills:

Python

Pyspark

SQL

ETL

Key Responsibilities  

• Design, build, and optimize scalable data pipelines for AI/ML applications.
• Develop, train, evaluate, and deploy Machine Learning and Deep Learning models.
• Build production-ready LLM applications using Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.
• Fine-tune open-source and foundation models using domain-specific datasets.
• Develop and maintain end-to-end MLOps pipelines for model deployment, monitoring, and lifecycle management.
• Perform data preprocessing, feature engineering, exploratory data analysis (EDA), and model evaluation.
• Develop APIs and AI services for production deployment.
• Collaborate with cross-functional teams to deliver scalable AI-driven solutions.
• Monitor model performance, troubleshoot production issues, and maintain technical documentation.

Required Skills  

Mandatory  

• 1–3 years of experience in Data Science, Data Engineering, or AI/ML development.
• Strong programming skills in Python and SQL.
• Hands-on experience with Machine Learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience building LLM-powered applications using RAG, Prompt Engineering, and Embeddings.
• Hands-on experience with LangChain, LlamaIndex, CrewAI, or n8n for LLM orchestration and AI workflow automation.
• Experience in LLM fine-tuning and working with Hugging Face models.
• Knowledge of MLOps concepts including model deployment, monitoring, versioning, and CI/CD.
• Experience with Git, REST APIs, Linux environments, and data processing libraries.

Preferred  

• Experience with vector databases such as Pinecone, Chroma, Milvus, or Weaviate.
• Familiarity with Docker, Kubernetes, and MLflow.
• Exposure to Apache Spark or Airflow for data engineering workflows.
• Experience with cloud platforms (AWS, Azure, or GCP).

Primary Technology Stack  

• Languages & Data Processing: Python, SQL, Pandas, NumPy, Apache Spark
• AI & Machine Learning: PyTorch, TensorFlow, Scikit-learn
• Application Frameworks: LangChain, LlamaIndex, CrewAI, n8n
• Core Methodologies: Retrieval-Augmented Generation (RAG), Model Fine-Tuning, Prompt Engineering, Embeddings
• Models & Infrastructure: OpenAI APIs, Hugging Face Ecosystem, Embedding Models
• Vector Databases: Pinecone, Chroma, Milvus, Weaviate
• Databases: PostgreSQL, MongoDB
• MLOps & DevOps: Docker, Kubernetes, MLflow, CI/CD, Git
• Cloud Platforms: AWS, Azure, GCP

Experience: 1–3 Years

Domain: Data Science | Data Engineering | Machine Learning | Generative AI | MLOps

What You Bring • Bachelor’s degree in computer science, Software Engineering, or related field with 7+ years of relevant professional experience. • Deep production experience with Python and JavaScript/TypeScript across backend and frontend, with demonstrated ability to work comfortably across the full stack. • Strong experience with modern frontend frameworks (such as Next.js or React) and backend API development. • Extensive experience with cloud platforms (AWS preferred; Azure or GCP also valued), including infrastructure-as-code tools (such as CloudFormation or Terraform). • Deep Working knowledge of multiple database paradigms, including relational databases (such as PostgreSQL), document databases, and key-value stores (such as Redis), with the ability to select the right storage technology for each problem. • Strong experience with CI/CD pipelines (such as GitHub Actions), containerisation, and production deployment strategies. • Demonstrable fluency with AI coding tools (such as Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on AI-augmented development practices. • Hands-on experience architecting production generative AI applications (LLM integrations, vector databases, RAG systems, evaluation pipelines) is essential. • Experience leading technical initiatives across multiple teams, mentoring engineers, and establishing engineering practices is required. • Experience navigating ambiguous problem spaces, working directly with business stakeholders and end users, and shipping working solutions rapidly is required. • Experience in an embedded, forward-deployed, or consulting-style engineering model is a strong plus. • Must have exceptional communication skills and demonstrated ability to influence at senior levels. This role requires comfort leading across ambiguous environments, building trust-based relationships with commercial stakeholders at all levels, developing junior and mid-level engineers, and making strategic decisions that balance delivery speed with architectural integrity. You will shape engineering practices across your area and be expected to lead multi-team initiatives.  

We want a highly experienced engineer with expertise as follows:

● React Native: very high level of proficiency; this should be a core strength

● JavaScript / TypeScript: very high level of proficiency

● React: high proficiency, with strong experience building customer-facing web

applications

● Mobile application development: very strong understanding of app architecture,

performance, debugging, reliability, and release quality

● Python / backend systems: medium to high proficiency; comfortable contributing to

APIs and backend workflows

● Performance optimization: strong experience improving responsiveness and efficiency

across application and processing layers

● Database design and caching: solid experience designing efficient data access

patterns and improving performance of critical operations

● AWS / S3 / async pipelines: working experience, especially in systems involving

uploads, processing, and media workflows

● Developer tools and local development workflows: strong experience improving

engineering productivity and reducing friction in how teams build, test, and ship

● Swift / native iOS development: nice to have, but not required

● Product thinking / customer empathy: strong ability to understand user needs, work

through ambiguity, and help shape product direction

The ideal candidate has strong experience building polished, production-quality applications in

React Native and React, and is comfortable contributing across backend systems where

needed. This person should be excited to understand customer workflows closely and help

shape product direction, not just execute tickets.

What you’ll do

You will work on high-impact product and platform problems, including:

● Building and improving the core React Native application used by customers in the field

● Developing mobile product experiences that help customers capture, review, and act on

ergonomics risk insights

● Building frontend UI for critical new features in the web application using React

● Improving app performance, responsiveness, reliability, and release quality across

mobile and web

● Improving the speed and reliability of video ingestion and re-encoding into web-playable

formats

● Implementing intelligent caching and data access patterns to speed up critical database

operations

● Improving developer tools and local development workflows across mobile, web, and

backend systems

● Contributing to backend services and APIs that power our mobile and web experiences

● Supporting native iOS integrations where needed

● Working closely with product, customers, and the broader engineering team to turn

real-world operational pain points into shipped product improvements

Responsibilities

● Own major product features end-to-end, from product thinking through implementation

and release

● Build high-quality, performant mobile experiences using React Native

● Build intuitive, reliable web experiences using React

● Contribute to backend services and APIs in Python that support product workflows

● Improve app quality through better testing, debugging, observability, and engineering

workflows

● Identify and resolve bottlenecks in video, processing, storage, and database systems

that affect product performance

● Help define engineering best practices for application quality, release processes, and

developer productivity

● Collaborate cross-functionally with product and customer-facing teams to prioritize the

right problems

● Raise the technical bar through strong code reviews, debugging discipline, and

pragmatic architectural decisions

Must-have qualifications

●8-14 years of professional software engineering experience

● Strong hands-on expertise in React Native

● Strong hands-on expertise in JavaScript/TypeScript

● Strong experience with React

● Experience building and shipping production-quality mobile applications

● Strong understanding of mobile architecture, app lifecycle, performance, and debugging

● Experience building customer-facing web applications

● Experience working with backend APIs and full-stack product development

● Experience improving developer productivity through tools, local development setups,

testing workflows, or internal engineering systems

● Strong product sense and ability to translate ambiguous customer needs into scoped

technical solutions

● Excellent communication skills and a high degree of ownership

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 Lead 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

• Around 5 years or more 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
• Experience leading teams or mentoring people

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

Experience Required: Minimum 8 Years

About the Role:

Key Responsibilities

• Design and manage organization-wide MIS reports, dashboards, and executive reports.
• Develop automated reporting solutions using Python, VBA Macros, Power Query, and Advanced Excel.
• Analyze large datasets and provide business insights to leadership.

Eligibility Criteria

• 5+ years of experience in Business Intelligence, MIS, Business Analytics, or Data Analytics.
• Strong analytical and logical thinking with the ability to understand business requirements and convert data into meaningful business insights.
• Experience in developing dashboards and management reports using any Business Intelligence tool (Power BI, Tableau, Zoho Analytics, etc.).

Apply Now:

https://zfrmz.com/pAKb2ynfomIsuNwRfRbV?utm_source=cutshort

Hiring for Prinipal / Lead Data Architect

Exp : 12 - 16 yrs

Work Location : Bengaluru

Shift Timings : UK

Mode of Interview : F2F

Skills :

Databricks, Python, Scala, SQL, Snowflake, Structured Streaming, Apache Kafka, Flink/AWS.

10+ years of progressive experience in Data Engineering, Data Warehousing, and Data Architecture.

Hiring for Python Full Stack Lead

Exp : 6 - 10 yrs

Edu : BE/B.Tech 60 - 65 %

Work Location Pune WFO

Skills : 4+ years of experience in Python

2+ years of experience in React Js

Rest Framework

Lead Exp must

Founding Engineer (Full Stack Engineer)

Location: Remote (India)

About the Role

We're hiring a Mid-Senior Full Stack Engineer to build AI-powered software products from the ground up. You'll own features end-to-end across the frontend and backend, working on scalable systems, real-time applications, and AI-driven workflows.

If you enjoy solving complex engineering challenges, building production-grade applications, and working with modern technologies, we'd love to hear from you.

What You'll Do

• Build and ship end-to-end features across frontend and backend.
• Design scalable APIs, services, and database schemas.
• Develop and maintain real-time applications using WebSockets and event-driven architectures.
• Build asynchronous processing pipelines and background jobs.
• Integrate AI/LLM capabilities into production applications.
• Optimize application performance, scalability, and reliability.
• Collaborate on architecture, code reviews, and engineering best practices.
• Mentor junior engineers and contribute to technical decision-making.

Tech Stack

Frontend

• React
• Next.js
• TypeScript
• Tailwind CSS

Backend

• Python
• FastAPI
• PostgreSQL
• Redis

AI & Infrastructure

• LLM Integrations
• REST APIs
• WebSockets
• Background Workers
• Docker
• CI/CD

What We're Looking For

• Strong experience building production-grade web applications.
• Expertise in React, Next.js, and TypeScript.
• Solid backend development experience with Python (FastAPI preferred).
• Strong knowledge of PostgreSQL and Redis.
• Experience designing scalable APIs and backend services.
• Familiarity with real-time systems and asynchronous processing.
• Experience working with AI/LLM-powered applications is a strong plus.
• Strong understanding of software architecture, testing, and clean code practices.
• Ability to work independently in a remote-first environment.

Nice to Have

• Experience with LangChain, LangGraph, or similar AI frameworks.
• Experience with RabbitMQ or Celery.
• Knowledge of cloud infrastructure and DevOps.
• Experience building high-scale distributed systems.

Why Join?

• Build cutting-edge AI-native products.
• Remote-first work environment.
• High ownership and technical autonomy.
• Opportunity to influence architecture and product direction.
• Work with a highly skilled engineering team.

If you're passionate about building modern AI-powered applications and enjoy solving challenging engineering problems, we'd love to connect.

Company Name- WINIT

Location- Hyderabad

Position- Data Scientist

Experience- 0-1 year

We are seeking a talented Data Scientist proficient in data science, machine learning, deep learning, computer vision, simulation, feature engineering, Python, and SQL. 

Responsibilities:

• Develop and implement machine learning and deep learning algorithms for image recognition tasks.
• Utilize computer vision techniques to extract meaningful information from images.
• Collaborate with software engineers to integrate image recognition models into existing systems.
• Design and implement simulation models for route optimization, demand forecasting, and trade promo optimization scenarios.
• Perform feature engineering to extract relevant features for optimization algorithms.
• Work with large datasets, cleaning, preprocessing, and transforming data as necessary.
• Develop and optimize SQL queries to extract and analyze data from databases.
• Participate in the end-to-end development lifecycle, from problem definition to deployment.
• Stay updated with the latest advancements in machine learning, computer vision, route optimization, demand forecasting, and trade promo optimization techniques.

Requirements:

• Bachelor's or Master's degree in computer science, Data Science, or related field.
• Proven experience in data science, machine learning, and deep learning projects, preferably with a focus on computer vision.
• Strong proficiency in Python programming and experience with relevant libraries such as TensorFlow, PyTorch, OpenCV, etc.
• Solid understanding of SQL for data manipulation and extraction.
• Experience with simulation techniques, route optimization algorithms, demand forecasting, and trade promo optimization is a plus.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

*Stay updated on machine learning/deep learning/reinforcement learning/Generative AI/Time series forecasting/Operations Research

About our company:

Please visit our company website at: www.winitsoftware.com

Observability Engineer (AppDynamics)

Hyderabad

Exp: 8+years of exp

Mandate Skills: AppDynamics, Splunk, Python (Scripting knowledge)

Primary Skill Set:

• AppDynamics administration
• SPLOC administration
• Enterprise monitoring and observability
• Application performance monitoring
• Alerting and event management
• Monitoring strategy and design
• Platform configuration and governance
• Python scripting
• Monitoring automation

Secondary Skills:

• Glassbox monitoring
• Customer journey observability
• GenAI concepts for operations       
• Log, metric, and trace telemetry
• Dashboarding and visualization

Job Title: AI Architecture Intern

Company: PGAGI Consultancy Pvt. Ltd.

Location: Remote

Employment Type: Internship

Position Overview

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

Duration: 6 months

Key Responsibilities:

• AI System Architecture Design: Collaborate with the technical team to design robust, scalable, and high-performance AI system architectures aligned with client requirements.
• Client-Focused Solutions: Analyze and interpret client needs to ensure architectural solutions meet expectations while introducing innovation and efficiency.
• Methodology Development: Assist in the formulation and implementation of best practices, methodologies, and frameworks for sustainable AI system development.
• Technology Stack Selection: Support the evaluation and selection of appropriate tools, technologies, and frameworks tailored to project objectives and future scalability.
• Team Collaboration & Learning: Work alongside experienced AI professionals, contributing to projects while enhancing your knowledge through hands-on involvement.

Requirements:

• Strong understanding of AI concepts, machine learning algorithms, and data structures.
• Familiarity with AI development frameworks (e.g., TensorFlow, PyTorch, Keras).
• Proficiency in programming languages such as Python, Java, or C++.
• Demonstrated interest in system architecture, design thinking, and scalable solutions.
• Up-to-date knowledge of AI trends, tools, and technologies.
• Ability to work independently and collaboratively in a remote team environment

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

Compensation:

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

After completion of the internship period, there is a chance to get a full-time opportunity as an AI/ML engineer.

Preferred Experience:

• Prior experience in roles such as AI Solution Architect, ML Architect, Data Science Architect, or AI/ML intern.
• Exposure to AI-driven startups or fast-paced technology environments.
• Proven ability to operate in dynamic roles requiring agility, adaptability, and initiative.

Location: Pune/Bengaluru

As a Senior Software Engineer, you will tackle a highly challenging role within our Cyber Security Engineering integration development team. You will be responsible for the End-to-End (E2E) delivery of projects from gathering customer requirements to deploying high-performance data exchange solutions on-prem or in the cloud. We are looking for a Systems-Level Thinker who can seamlessly transition between building complex integrations and architecting high-throughput, low-latency backends. Because each integration may require a different technical approach, we value engineers who love reskilling, following agile best practices, and maintaining an evolving mindset.

Core Responsibilities

Technical Leadership and Architecture

● Systems Engineering: Design, build, and optimize high-throughput, low-latency backend systems and data-exchange layers.

● Architecture and Integration: Participate in planning, defining, and exploring solution alternatives. Architect and estimate deep technical custom solutions and integrations across diverse enterprise tech stacks. ● Stream Processing: Implement event-driven architectures, manage backpressure, and handle real-time state management across security platforms.

● Delivery Ownership: Own projects end-to-end, defining and implementing enablers to evolve solution intent directly alongside our Agile teams.

Team Leadership and Quality

● Mentorship: Actively lead, coach, and mentor junior developers, providing technical guidance to foster professional development.

● Engineering Excellence: Oversee code reviews, build robust CI/CD pipelines, enforce strict quality checks, and ensure rigorous adherence to coding standards.

● Agile Execution: Actively participate in Agile development, including writing, breaking down, and estimating User Stories.

Customer and Stakeholder Collaboration

● Customer Delight: Maintain a strong customer-first attitude while designing, building, and deploying products.

● Technical Communication: Articulate complex technical trade-offs clearly to both business stakeholders and engineering teams.

● Pipeline Management: Manage customer relationships effectively to ensure a continuous flow of project scope, maintaining clear team backlogs.

Job Requirements

● Experience: 5+ years of proven software engineering experience, with a track record of leading small engineering teams or mentoring junior devs.

● High-Throughput Backend Focus: 5+ years of experience engineering robust, real-time backends specifically using Go (Golang) or Java.

● Polyglot and Integration Capability: Deep expertise in at least one or two additional languages/frameworks from our ecosystem: Python, TypeScript, Node.js, React.js, Angular, C#, or C++.

● Computer Science Fundamentals: Excellent knowledge of complex Data Structures, algorithms, and their correct situational usage.

● Adaptability: A passionate programmer who is genuinely open and excited to learn new software development skills as required by changing project demands.

Bonus / Added Advantages

● AI & Intelligent Automation: Hands-on knowledge of AI concepts, Large Language Models (LLMs), and experience building or integrating AI agents to automate complex workflows or security processes.

● Cybersecurity Domain: Experience in the cybersecurity space (SIEM, SOAR, or platform security).

● Modern Web Tech: Strong experience in developing software using modern web technologies.

● E2E Lifecycle: Proven background handling a project completely from discovery to cloud/on-prem deployment.

● Open Source: Active contributions to the Open Source community. (Please share your GitHub/GitLab links in your application!)

About the Role

We are looking for a hands-on Principal Engineer who owns enterprise integration architecture from end to end — from the first whiteboard sketch through production delivery and ongoing governance. This is not a management role, and it is not a specialist role. We are not looking for an Angular architect, a Java architect with cloud exposure. We need a true Full Stack Integration Architect who has designed, built, and governed how large-scale enterprise systems connect, communicate, and operate reliably at scale.

You will be expected to go deep on integration design, backend engineering, data architecture, cloud infrastructure, and front-end development — and to defend every decision under rigorous technical scrutiny. If your experience is anchored in one layer or one language, this is not the right opportunity.

What You Will Own

• End-to-end integration architecture across cloud platforms (AWS, Azure, GCP), on-premises systems, and third-party services — designed, delivered, and governed by you
• Definition and enforcement of integration patterns across the enterprise: API-first, microservices, event-driven, and real-time and batch processing
• Seamless data flow, application interoperability, and fault tolerance across mission-critical platforms
• Quality and testing strategy across integrated solutions — automation frameworks, release readiness, validation, and quality governance
• Full-stack engineering across all layers: front-end, backend services, data, and cloud infrastructure
• GenAI and LLM integration into production-grade digital platforms
• Technical mentorship across engineering levels and cross-team architectural influence
• Clear communication of complex architectural decisions to both engineering teams and business stakeholders

What You Must Have

• 15+ years of hands-on software engineering experience with a strong track record in enterprise-scale distributed systems
• Proven end-to-end integration architecture experience — you have designed, governed, and delivered enterprise integrations across complex, heterogeneous environments; not just implemented someone else's design
• Genuine full-stack depth across all layers:
• Front-end: Angular, TypeScript
• Backend: Java, Python, Go, or Node.js — at least one deeply, others functionally
• Data: SQL, NoSQL, caching (Redis), event streaming platforms
• Strong database knowledge in both theory and practice — relational, NoSQL, distributed data, and streaming
• Cloud-native hands-on experience across at least one of AWS, Azure, or GCP — Kubernetes, Docker, and Infrastructure as Code (Terraform) are expected
• CI/CD pipeline experience tied to enterprise release cycles and quality governance
• The ability to clearly articulate the technical design, tradeoffs, and problem-solving approach behind your own recent work — this will be probed in depth during interviews

Integration & API Technologies

You should have hands-on experience across several of the following:

REST · GraphQL (Apollo Federation or similar) · gRPC · Kafka or equivalent event streaming · Microservices architecture · Event-driven architecture · B2B and internal system integrations · Real-time and batch integration patterns

What Will Strengthen Your Profile

• GCP-native database experience: BigQuery, Spanner, Bigtable
• Production-grade GenAI or LLM integration — not just prototypes or proof of concepts
• Experience with AI development tools: Cursor, GitHub Copilot, Vertex AI Studio, Claude Code
• Healthcare or regulated-industry platform experience
• MLOps or AI lifecycle management
• Identity, security, and privacy architecture at enterprise scale
• Observability tooling: Datadog, Prometheus, Grafana

Do Not Apply If

• You are primarily an Angular Architect, a Java architect, or strong in one layer only — this role demands genuine end-to-end depth across the full stack
• You cannot walk through the architecture, implementation decisions, and tradeoffs of your own recent projects with technical precision
• You have not designed or governed integrations at enterprise scale across distributed, heterogeneous systems
• Your backend, database, or integration experience is surface-level, theoretical, or limited to a single technology

Why This Role

This role carries real architectural authority at a large enterprise. You will set integration direction across business-critical platforms, influence engineering standards, and solve problems that matter at significant scale. The technical bar is deliberately high — because the impact is real.

Job Summary

We are looking for an experienced Senior Python Full Stack Developer with 5+ years of hands-on experience in Python, Django, Flask, and React.js. The ideal candidate should have strong expertise in developing scalable web applications, building RESTful APIs, and working across both backend and frontend technologies.

The candidate will be responsible for designing, developing, testing, and maintaining high-quality applications while collaborating closely with product, design, QA, and other engineering teams.

Key Responsibilities

• Design, develop, and maintain scalable web applications using Python, Django, and Flask.
• Develop responsive and user-friendly frontend applications using React.js.
• Build and integrate RESTful APIs and third-party services.
• Design efficient database structures and write optimized queries.
• Work with databases such as PostgreSQL, MySQL, or MongoDB.
• Write clean, reusable, maintainable, and well-documented code.
• Perform code reviews and ensure adherence to development best practices.
• Identify and resolve application performance and production issues.
• Collaborate with cross-functional teams to understand requirements and deliver solutions.
• Participate in architecture and technical design discussions.
• Develop unit and integration tests to ensure application reliability.
• Troubleshoot, debug, and optimize existing applications.
• Follow Agile/Scrum development practices and contribute to sprint planning and estimation.

Required Skills

• 5+ years of professional experience in software development.
• Strong proficiency in Python.
• Hands-on experience with Django and Flask.
• Strong experience with React.js and modern frontend development.
• Good understanding of HTML, CSS, JavaScript, and TypeScript.
• Strong experience in developing and consuming REST APIs.
• Good knowledge of SQL and relational databases.
• Experience with Git/GitHub/GitLab.
• Strong understanding of object-oriented programming and software design principles.
• Experience with debugging, performance optimization, and application security.
• Good understanding of Agile/Scrum methodologies.

Good to Have

• Experience with AWS, Azure, or GCP.
• Knowledge of Docker and Kubernetes.
• Experience with CI/CD pipelines.
• Familiarity with Redis, Celery, or message queues.
• Experience working with microservices architecture.
• Knowledge of automated testing frameworks such as PyTest.
• Experience working in cloud-based production environments.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.
• Ability to work independently and take ownership of assigned tasks.
• Ability to mentor junior developers and contribute to technical decisions.
• Strong attention to quality and detail.

Job Summary

We are seeking a skilled Azure Data Engineer with hands-on experience in Azure Data Services, Azure Databricks, Python, PySpark, and SQL. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines and data processing solutions to support business intelligence, analytics, and reporting requirements.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks and PySpark.
• Build and optimize data processing workflows using Python and SQL.
• Develop and manage data ingestion pipelines from multiple structured and unstructured data sources.
• Work with Azure Data Factory (ADF) to orchestrate and schedule data pipelines.
• Implement data transformation and cleansing logic using PySpark.
• Optimize SQL queries and Spark jobs for performance and scalability.
• Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
• Ensure data quality, integrity, and governance across the data platform.
• Monitor, troubleshoot, and resolve production data pipeline issues.
• Follow coding standards, version control, and CI/CD best practices.

Required Skills

• Strong experience with Microsoft Azure cloud services.
• Hands-on experience with Azure Databricks.
• Strong programming skills in Python.
• Expertise in PySpark for large-scale data processing.
• Strong SQL skills, including query optimization and performance tuning.
• Experience with Azure Data Factory (ADF).
• Knowledge of Delta Lake, Spark SQL, and Databricks notebooks.
• Experience with Git or Azure DevOps for source code management.
• Understanding of data warehousing concepts and ETL/ELT processes.

Preferred Skills

• Experience with Azure Synapse Analytics.
• Knowledge of Delta Live Tables (DLT).
• Experience with Azure Data Lake Storage (ADLS Gen2).
• Familiarity with Unity Catalog and data governance.
• Exposure to CI/CD pipelines and infrastructure-as-code.
• Experience working in Agile/Scrum environments.

Job Summary:

We are seeking a highly skilled Capability Lead in Software Testing to join our dynamic team. The ideal candidate will be responsible for leading testing initiatives, ensuring quality assurance processes are effectively implemented, and driving continuous improvement in testing methodologies. This role requires a strong foundation in Python, as well as a deep understanding of software testing principles and practices.

Responsibilities:

• Lead and manage software testing projects, ensuring adherence to quality standards and timelines.
• Develop and implement comprehensive testing strategies, including automated and manual testing processes.
• Collaborate with cross-functional teams to define testing requirements and ensure alignment with project goals.
• Utilize Python to create and maintain automated test scripts, enhancing testing efficiency and coverage.
• Analyze test results, identify defects, and work with development teams to resolve issues promptly.
• Provide mentorship and guidance to junior testing team members, fostering a culture of quality and continuous learning.
• Stay updated with industry trends and best practices in software testing and quality assurance.
• Prepare detailed test documentation, including test plans, test cases, and test reports.
• Participate in project planning and status meetings, providing insights on testing progress and challenges.

Mandatory Skills:

• Proficiency in Python programming for test automation.
• Strong understanding of software testing methodologies, including functional, regression, and performance testing.
• Experience with test management tools and defect tracking systems.
• Excellent analytical and problem-solving skills.
• Strong communication skills, both verbal and written, with the ability to articulate complex technical concepts to non-technical stakeholders.

Preferred Skills:

• Familiarity with Agile and DevOps methodologies.
• Experience with continuous integration and continuous deployment (CI/CD) practices.
• Knowledge of other programming languages and testing frameworks.
• Experience in performance testing tools and techniques.
• Understanding of cloud-based testing environments.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Relevant certifications in software testing (e.g., ISTQB, CSTE) are a plus.
• Demonstrated ability to lead testing initiatives and drive quality improvements.
•  

The Role:

We are seeking a highly skilled Sr Embedded Software Engineer (Python & C++) to manage and improve the software development lifecycle for device firmware systems. The primary focus of this role is to ensure firmware operational reliability, fail-safe implementation, certification compliance, and robust production deployment.

This role is ideal for an engineer experienced in system-level software, firmware validation, testing automation, and production readiness — but not focused on low-level hardware design.

Experience: 6-10 years

Job Location: Hyderabad

Job Type: Permanent

CORE FOCUS AREAS

• Ensure firmware operates reliably in production environments

• Implement and validate fail-safe mechanisms and fallback logic

• Maintain certification compliance across firmware releases

• Drive robust, repeatable production deployment pipelines

• Support field debugging and OTA update validation

IDEAL CANDIDATE PROFILE

• Strong hands-on experience in Python and C++ development

• Background in system-level software and firmware validation

• Experience with testing automation and production readiness

• Comfortable working closely with embedded engineers

• Not required to have low-level hardware design expertise

KEY RESPONSIBILITIES

FIRMWARE OPERATIONAL STABILITY

• Ensure firmware operates reliably in production environments

• Implement and validate fail-safe mechanisms and fallback logic

• Monitor watchdog systems, timeout handling & safe state transitions

• Work closely with embedded engineers to validate firmware behavior

PYTHON & C++ DEVELOPMENT

• Develop firmware communication layers & device control applications

• Build diagnostic tools and test automation frameworks

• Optimize performance and memory handling in C++ applications

• Develop production-ready Python tools for deployment, logging & validation

FAIL-SAFE & SAFETY IMPLEMENTATION

• Implement safe boot validation, error recovery & redundancy logic

• Build communication retry systems & safe shutdown protocols

• Design state machines for controlled device operation

• Ensure safe-state transitions on power, comms or hardware failure

PRODUCTION DEPLOYMENT & VALIDATION

• Create secure and repeatable firmware deployment pipelines

• Implement boot image validation, signature verification & rollback

• Develop health monitoring and diagnostic utilities & CI/CD Pipelines

• Support field debugging and OTA update validation

Linux Environment

• Work in Linux-based environments for firmware development, debugging, and deployment — including shell scripting, process/service management, and system diagnostics.

• Own unit testing, integration testing & production release management

• Ensure code quality and compliance with internal standards

IoT + AI

Building the tech behind India's Reverse Vending Machines

SUCCESS METRICS

• Firmware reliability — stable, uninterrupted operation in production environments

• Fail-safe coverage — validated fallback logic, redundancy & safe-state transitions

• Linux Environment - Use Linux for development till deployment

• Deployment success rate — secure, repeatable pipelines with clean rollbacks

• Code & release quality — test coverage, code review discipline & CI/CD health

• Field performance — OTA update success and turnaround on field debugging

Role Overview

As an AI Quality Engineer, you will be the strategic lead for quality within our AI-driven product ecosystem. You will be responsible for validating non-deterministic AI outputs and microservices. You will use tools like Claude Code, Cursor, and Gemini, moving from manual oversight to high-velocity, AI-augmented delivery. You will ensure that our AI products are not only functional but reliable, ethical, and scalable.

Core Responsibilities

• AI-First Test Strategy & Planning: Define and implement the end-to-end test strategy for major AI product areas.
• AI-Augmented Automation: You will adopt Cursor and Claude Code to refactor existing frameworks, develop new frameowrk, migrate legacy framework to modern technologies and automate the creation of test suites.
• Defect Management & Root Cause Analysis: You will perform Root Cause Analysis, submit bugs and ensure their timely resolution.
• Documentation & Reporting: You will document your work and report on quality metrics to stakeholders.

Required Qualifications

• AI Toolchain Mastery: Expert-level experience using AI coding assistants (Claude Code, Cursor) and LLMs (Gemini, GPT-4) to accelerate the SDLC.
• SDLC Experience: Proven track record of product delivery in an Agile environment with a focus on CI/CD (ADO and GitHub Actions).
• Technical Stack: Proficiency in C#, Python or JavaScript and experience with modern testing frameworks (e.g., Selenium, Playwright, Nunit, PyTest).
• Autonomy: Ability to create cases, execute tests manually and automate with minimal oversight.
• Education/Experience: 2-3 years in Quality Engineering with a focus on Web and Mobile Applications testing.

Company Overview:

Euphoric Thought Technologies is a technology-driven firm focused on building scalable data-centric platforms and intelligent software solutions. Operating at the intersection of advanced analytics and web engineering, the company empowers enterprises to derive actionable insights from complex datasets. With a culture rooted in engineering excellence and collaborative problem-solving, Euphoric Thought Technologies maintains a lean, high-impact environment where developers have the autonomy to architect solutions that drive significant business value across global markets.

Role Overview:

As a Full Stack Developer, you will be responsible for bridging the gap between sophisticated data modeling and intuitive user interfaces. You will work closely with data scientists, product managers, and backend engineers to translate complex analytical requirements into robust, high-performance web applications. This role is pivotal in ensuring that our data products are not only technically sound but also highly accessible and responsive, directly influencing how our clients interact with and interpret their business intelligence.

Key Responsibilities:

- Architect and maintain end-to-end web applications by integrating Python-based backends with dynamic React.js frontends to ensure seamless data visualization and user interaction.

- Develop and optimize RESTful APIs using Django or Flask to facilitate efficient data exchange between the server and client-side applications.

- Integrate R-based analytical models into production environments to provide real-time statistical insights for end-users.

- Deploy and manage scalable infrastructure on AWS, ensuring high availability and performance for all hosted applications.

- Collaborate with cross-functional teams to troubleshoot system bottlenecks and implement performance improvements that enhance the overall user experience.

Required Skillset:

- Demonstrated expertise in building full-stack applications using Python and React.js, with a deep understanding of state management and component lifecycle.

- Strong proficiency in backend development using Django or Flask, including database schema design and API security best practices.

- Hands-on experience managing cloud infrastructure on AWS, specifically regarding deployment pipelines, serverless functions, and database management.

- Exceptional analytical and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

- A minimum of 5 to 8 years of professional experience in full-stack development, demonstrating a track record of delivering high-quality software in a fast-paced, collaborative environment.

- Ability to thrive in an on-site work environment in Bangalore, contributing to team-led design sessions and rapid development cycles.

Core Responsibilities:

• Design & Development: Architect and implement scalable backend services and APIs using Python or Golang, ensuring high performance, resilience, and extensibility.
• System Ownership: Take end-to-end ownership of critical modules, from design and development to deployment and support.
• Technical Leadership: Conduct design and code reviews, enforce best practices, and mentor junior engineers to raise the team’s technical bar.
• Collaboration: Work closely with product managers, architects, and other engineers to translate business requirements into technical solutions.
• Performance & Reliability: Troubleshoot complex issues in production systems, identify root causes, and design sustainable long-term solutions.
• Innovation: Evaluate new technologies, contribute to proof-of-concepts, and recommend tools that can improve developer productivity.
• Process Improvement: Drive initiatives to improve coding standards, CI/CD pipelines, and automated testing practices.
• Knowledge Sharing: Document designs, create technical guides, and share insights with the broader engineering team.

Experience and Expertise:

• 4–7 years of backend development experience with Python or Golang.
• Strong expertise in designing, developing, and scaling microservices and distributed systems.
• Solid understanding of concurrency, multi-threading, and performance optimization.
• Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached), and messaging systems (Kafka, RabbitMQ, etc.).
• Hands-on experience with Linux development, Docker, and Kubernetes.
• Familiarity with cloud platforms (AWS/GCP/Azure) and related services.
• Strong debugging, profiling, and optimization skills for production-grade systems.
• Experience with AI-powered development tools is a strong plus; familiarity with concepts like 'agentic coding' for workflow automation or 'context engineering' for leveraging LLMs in system design is highly desirable.

Skills:

• Strong problem-solving ability, with experience handling complex technical challenges.
• Ability to lead technical initiatives and mentor junior engineers.
• Excellent communication skills to collaborate with cross-functional teams and articulate trade-offs.
• Self-motivated, proactive, and able to operate independently while aligning with team goals.
• Passionate about engineering culture, quality, and developer productivity.

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 2–4 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 1-2 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

Job Title: PYTHON AND AGENTIC AI

Location: Bangalore

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

Experience: 6+ Yrs

Skills: Python for Data Science, AI Agents.

Role Descriptions:

Architect and lead development of scalable| production-grade agentic AI systems.

Design serverless| event-driven workflows using Azure Functions| Logic Apps| and Power Automate.

Build and optimize ML models for predictive analytics| anomaly detection| and recommendations using Azure ML| Databricks| and Python.

Ensure observability and reliability through Azure Monitor| logging| and alerting frameworks.

Define and enforce architecture patterns| reusable components| and governance standards.

Lead code reviews| technical design sessions| and agile ceremonies.

Leverage Microsoft AI Foundry to build and deploy agents that meet enterprise-grade standards

Mentor and coach junior engineers| fostering a culture of innovation and technical excellence.

Drive cross-team collaboration and alignment on agentic AI strategy and execution.

Own delivery timelines| quality benchmarks| and stakeholder communication.

Champion best practices in DevOps| CI/CD| and model lifecycle management.

Stay ahead of trends in AI| machine vision| and IoT to guide strategic decisions.

Cross-Functional Collaboration

Work closely with Data Scientists & ML Engineers for model development and integration

Product Managers & UX Designers aligning agent capabilities with user needs

Enterprise Architects & DevOps Engineers ensuring scalability and deployment efficiency

Security & Compliance Teams meeting regulatory and governance requirements

Business Stakeholders & SMEs defining use cases and validating outcomes

Change Management & Enablement Teams supporting adoption and training efforts

______________________________________

Technology & Tools

Languages & Platforms: Python| Power Apps| Power Automate| Databricks| Snowflake

AI Platforms: Microsoft AI Foundry (highly preferred)| Copilot Studio (optional)

Cloud & ML Tools: Azure Machine Learning| Azure DevOps| GitHub

Data & Observability: Vector Databases| Azure Monitor

Vision & IoT: Azure IoT Hub| OpenCV| TensorFlow| PyTorch (for edge and vision-based agents)

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

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

Role Overview:

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

Key Responsibilities:

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

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

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

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

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

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

Required Skillset:

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

- Strong proficiency in React.js.

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

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

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

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

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

Experience:

• Python: 5 years (Preferred)
• AWS: 3 years (Preferred)
• Flask: 3 years (Preferred)
• React.js 4 years (Preferred)

As an Associate Technical Architect - Data, you will lead the end-to-end design, architecture, and implementation of enterprise-scale AWS data platforms and Lakehouse solutions. You will provide technical leadership across the entire project lifecycle—from solution architecture and technology selection to implementation, optimization, deployment, and production support.

The role requires deep hands-on expertise in modern AWS data engineering technologies, strong architectural skills, and the ability to mentor engineering teams while collaborating with business and technical stakeholders to deliver scalable, secure, and high-performance data solutions.

Must Have Skills:

• 8+ years of experience designing and delivering enterprise-scale Data Lake, Lakehouse, or Data Warehouse solutions on AWS.
• Proven experience leading end-to-end implementation of cloud-native data platforms, including architecture, design, development, deployment, and production support.
• Strong hands-on expertise in SQL (analytical queries, window functions, stored procedures), Spark/PySpark, and Python.
• Strong hands-on experience designing and implementing Lakehouse architectures using Apache Iceberg.
• Strong knowledge of AWS services including EMR, S3, Athena, Glue Catalog, Aurora PostgreSQL, Lambda, CloudWatch, SQS, SNS, EventBridge, IAM, and related AWS data services.
• Experience designing and implementing scalable batch and streaming data pipelines using AWS native services.
• Strong expertise in Spark/PySpark performance tuning and optimization.
• Hands-on experience optimizing Apache Iceberg and Aurora PostgreSQL for performance, scalability, and cost efficiency.
• Strong understanding of data modeling, distributed data processing, partitioning strategies, file formats, and Lakehouse/Data Lake architectures.
• Strong understanding of AWS architecture principles, including security, networking, disaster recovery, scalability, resiliency, and cost optimization.
• Experience designing orchestration workflows using Apache Airflow or AWS Step Functions.
• Ability to define cloud data platform architectures, evaluate technology choices, and articulate architectural trade-offs and best practices.
• Experience leading globally distributed engineering teams, mentoring developers, conducting architecture/code reviews, and driving engineering best practices.
• Excellent communication, stakeholder management, problem-solving, and technical leadership skills with the ability to translate business requirements into scalable technical solutions.
• AWS Solution Architect Associate/Professional or AWS Data Engineer Associate certification is preferred.

Good to Have Skills:

• Experience with ClickHouse, including performance tuning and query optimization.
• Experience with Infrastructure as Code using Terraform or CloudFormation.
• Experience implementing CI/CD pipelines for data engineering workloads.
• Exposure to Kafka, Hive, HDFS, or other Big Data technologies.
• Hands-on experience using GenAI-assisted development tools such as Kiro, GitHub Copilot, Cursor, or similar AI coding assistants to improve engineering productivity.
• Experience integrating with data governance and metadata management tools such as Collibra.
• Experience integrating with data virtualization platforms such as Denodo.
• Telecom/Mobile Network domain knowledge is preferred but not mandatory.

Position: Lead / Senior Data Engineer

Location: Chennai

Shift: US Eastern Time ( 5:00 PM – 2:00 AM )

Experience : 8+ years overall

Interviews: Assessment || 2 Interview rounds.

Job Description:

Job title : Lead / Senior Data Engineer

Experience: 8+ years

Location: Chennai(Onsite)

Roles and Responsibilities:

Role Overview

The Lead Data Engineer will be responsible for designing, developing, and delivering high-quality software and data solutions while leading a team of engineers. The role involves hands-on technical work, architectural decision-making, mentoring junior developers, and collaborating with cross-functional teams to ensure successful delivery of scalable data platforms and analytical solutions.

Key Responsibilities

Lead the end-to-end design, development, and delivery of software systems, data pipelines, and components.

Define technical strategy, architecture, and best practices for development and data engineering.

Design and build optimized data pipelines using cutting-edge technologies in a cloud environment.

Construct infrastructure for efficient ETL processes from various sources and storage systems.

Architect, design, and maintain database pipeline architectures, ensuring readiness for AI/ML transformations.

Lead the implementation of algorithms and prototypes to transform raw data into useful information.

Review code for quality, scalability, and performance.

Collaborate with Product Managers, Business Managers, Designers, and QA teams to translate business requirements into technical solutions.

Develop analytical tools, programs, and reporting mechanisms.

Create data validation methods and data analysis tools.

Interpret data trends and patterns to establish operational alerts.

Conduct complex data analysis and present results effectively.

Prepare data for prescriptive and predictive modeling.

Ensure compliance with data governance and security policies.

Troubleshoot, debug, and resolve complex technical issues.

Drive continuous improvement in software and data development processes, tools, and methodologies.

Mentor and guide engineers through code reviews, technical discussions, and training.

Ensure timely delivery of projects while maintaining high engineering standards.

Continuously explore opportunities to enhance data quality and reliability.

Apply strong programming and problem-solving skills to develop scalable solutions.

Demonstrate passion for testing strategy, problem-solving, and continuous learning.

Willingness to acquire new skills and knowledge.

Possess a product/engineering mindset to drive impactful data solutions.

Experience working in distributed environments with global teams.

Stay current with emerging technologies and industry trends to propose innovative solutions.

Technical Skills and Experience Requirements

Minimum 8+ years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Python, Scala, and Spark for applied large-scale data processing.

Expertise with big data technologies, including Spark, Data Lake, Delta Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience with RDBMS and OLAP databases such as MySQL and Snowflake.

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data lakes.

Qualifications - Bachelor’s degree in computer science, Engineering, Information Systems, or related field.

Job Details:

• Role: Ansible Automation Developer
• Location: Bangalore (Hybrid)
• Employment Type: Full-Time

Key Skills Required:

• Ansible Automation (Playbooks, Linux)
• Python Programming
• RESTCONF / NETCONF / API Programming
• GitHub & CI/CD
• Network Automation (Cisco or similar networking devices)
• ServiceNow Integrations
• Linux Administration
• YANG Modeling (Preferred)
• WAN, LAN, DNS, DHCP
• Agile methodology

Responsibilities:

• Develop Ansible playbooks and Python-based automation.
• Build API integrations and automate enterprise workflows.
• Automate network device configurations and orchestration.
• Integrate Ansible with ServiceNow and GitHub.
• Troubleshoot automation workflows and optimize performance.
• Work closely with stakeholders in an Agile environment.

Associate Architect – Site Reliability Engineer (SRE)

Experience: 10–14 Years

Location: Bangalore

Required Skills

• 8–14+ years of experience in Site Reliability Engineering (SRE), DevOps, or Cloud Engineering.
• Strong hands-on experience with AWS (EKS, EC2, S3, VPC) and Kubernetes.
• Expertise in Docker, Terraform, Ansible, and Linux administration.
• Experience building and maintaining CI/CD pipelines using Jenkins or GitHub Actions.
• Strong programming skills in Python, Java, or TypeScript.
• Experience with Monitoring & Observability tools like Prometheus, Grafana, Datadog, New Relic, Honeycomb, or ELK.
• Hands-on experience defining and managing SLIs, SLOs, SLAs, proactive monitoring, and incident management.
• Good knowledge of SQL/NoSQL, OpenSearch, Elasticsearch, and AWS S3.
• Experience troubleshooting production issues, RCA, and automation of operational tasks.
• Strong communication skills and ability to work closely with development teams.

Key Responsibilities

• Design, build, and maintain highly available, scalable cloud infrastructure.
• Manage and optimize Kubernetes (EKS) clusters and containerized applications.
• Develop Infrastructure as Code (IaC) using Terraform and Ansible.
• Automate deployments, monitoring, and operational tasks using Python and CI/CD tools.
• Implement SLIs, SLOs, monitoring dashboards, alerting, and observability solutions.
• Troubleshoot production incidents, perform Root Cause Analysis (RCA), and reduce MTTR.
• Support developers with infrastructure architecture, scalability, and reliability improvements.
• Participate in on-call support and production issue resolution.

AI / GenAI (Preferred)

• Experience implementing AIOps solutions for intelligent monitoring and incident management.
• Hands-on experience using GenAI/LLMs (OpenAI, Azure OpenAI, Amazon Q, Vertex AI, etc.) for:
• Automated log analysis
• Incident troubleshooting
• Root Cause Analysis (RCA)
• Runbook automation
• Predictive monitoring and alerting
• Experience integrating AI solutions into DevOps/SRE workflows is an added advantage.

Good to Have

• Istio / Service Mesh
• GitHub Actions
• Datadog / Honeycomb / New Relic
• Elasticsearch / OpenSearch
• Experience in cloud architecture and platform engineering
• Exposure to AI-based infrastructure automation and observability

We are looking for a Python with the following experience and expertise:

• Proficiency in developing RESTful APIs using Flask, Django, or FastAPI.
• Hands-on experience with ORMs for database query mapping.
• Experience in designing, developing, and maintaining application integrations/connectors using REST APIs, SCIM, LDAP, webhooks, or similar integration technologies.
• Strong understanding of API authentication (OAuth 2.0, JWT, API Keys, Basic Auth) and integration best practices.
• Experience in writing unit test cases, ensuring code coverage, and API testing.
• Hands-on experience with Postman for API validation and testing.
• Minimum 2 years of experience working with any major cloud platform (AWS, Azure, or GCP).

Preferred:

• Experience building identity/IAM connectors or integrating enterprise applications with Identity Governance (IGA), IAM, HRMS, ERP, CRM, or SaaS platforms.

Job Description

Qualified applicants with experience in the following role or comparable job titles are encouraged to apply:

• Audio AI Engineer
• Speech AI Engineer
• Audio Software Engineer
• Speech Processing Engineer
• Audio Machine Learning Engineer
• Machine Learning Engineer – Speech
• AI Engineer – Audio
• Speech Processing Engineer
• Research Engineer – Speech AI
• Research Scientist – Speech
• Speech Recognition Engineer
• ASR Engineer
• Automatic Speech Recognition Engineer
• Voice AI Engineer
• Speech Scientist
• Audio Research Engineer
• Audio Systems Engineer
• Audio Software Engineer
• Audio R&D Engineer
• Speech Research Engineer
• Audio DSP Engineer
• Voice Processing Engineer
• Acoustic AI Engineer
• Research Engineer – Speech AI
• Research Scientist – Speech
• AI Engineer – Speech
• AI Engineer – Audio

Requirement:

a) Working on Design, Development, testing and deployment of different speech enhancement products using frameworks like PyTorch and TensorFlow.

b) Working on enhancing existing speech enhancement products w.r.t

performance, low latency and less computation.

c) Work on improvement of adapting the model to multi channels.

d) Should be self-motivated to learn and explore new areas and able to work independently and contribute

Experience

a) Good understanding of signal processing and machine learning.

b) Hands-on experience with Deep Learning techniques like CNNs, RNNs, LSTMs, Transformers, etc., for speech processing is essential.

c) Good understanding of: Linear algebra, Optimization techniques, Statistics and pattern recognition

d) Minimum 3 years of work experience in the Audio/Speech domain

e) Good programming skills in C/C++, Python, AI/ML frameworks.

Qualification

Bachelor's / Master’s Degree from AI/ML, CSE, ECE, or PhD

Principal Software Engineer

Company Summary :

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com

Position Responsibilities :

About the Role 

We are seeking a highly motivated AI Solutions Engineer to join Deltek’s growing AI Center of Excellence team to design, develop, deploy, and optimize internal Artificial Intelligence and Machine Learning solutions that solve complex business challenges. The ideal candidate combines deep expertise in AI, machine learning, Generative AI, Large Language Models (LLMs), SLMs, software engineering, cloud computing, and MLOps/LLMOps to build scalable, production-grade AI applications. 

The AI Solutions Engineer will collaborate with AI data scientists, architects, and engineering teams to deliver innovative AI-driven solutions while ensuring security, scalability, governance, and operational excellence. This role reports to the Senior AI Solutions Architect. 

Key Responsibilities 

AI & Machine Learning Development 

• Design, build, train, evaluate, and deploy machine learning and deep learning models. 
• Develop Generative AI solutions using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, and Mistral. 
• Implement Retrieval-Augmented Generation (RAG), prompt engineering, fine-tuning, and AI agent frameworks. 
• Build NLP, recommendation systems, forecasting, predictive analytics, and intelligent automation solutions. 
• Optimize model performance, scalability, latency, and cost. 

Software Engineering & Solution Development 

• Develop production-grade AI applications using Python and modern software engineering practices. 
• Build APIs, microservices, and AI-powered enterprise applications. 
• Integrate AI services with enterprise systems, business applications, and data platforms. 
• Apply coding standards, automated testing, CI/CD, and version control best practices. 

MLOps & AI Operations 

• Design and implement MLOps pipelines for model development, deployment, monitoring, and lifecycle management. 
• Automate model training, validation, testing, and deployment processes. 
• Monitor model performance, data drift, hallucinations, and operational metrics. 
• Support continuous improvement and reliability of AI platforms. 

Cloud & Platform Engineering 

• Develop AI solutions on Azure, AWS, or Google Cloud platforms. 
• Leverage cloud-native AI services, containerization, Kubernetes, and serverless technologies. 
• Build scalable architectures supporting enterprise AI workloads and real-time inference. 

AI Governance & Security 

• Ensure compliance with Responsible AI, security, privacy, and regulatory requirements. 
• Implement model governance, explainability, bias mitigation, and risk management practices. 
• Maintain standards for secure design, deployment, and operation of AI solutions. 

Required Qualifications 

Education 

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field. 

Experience 

• 5+ years of software engineering or machine learning development experience. 
• 2+ years of hands-on experience developing and deploying Agentic AI, Generative AI or AI/ML solutions in production environments. 

Technical Skills 

Programming & Engineering 

• Strong expertise in Python. 
• Experience with Java, ReactJS, JavaScript, or similar programming languages. 
• Solid understanding of algorithms, data structures, APIs, and software design principles. 

Artificial Intelligence & Machine Learning 

• Machine Learning and Deep Learning concepts and frameworks. 
• Model training, evaluation, optimization, and deployment. 

Generative AI 

• Large Language Models (LLMs) & SLMs 
• Prompt Engineering 
• Retrieval-Augmented Generation (RAG) 
• AI Agents and Agentic Workflows 
• Fine-tuning and model customization 
• Vector embeddings and semantic search 

Frameworks & Tools 

• PyTorch, TensorFlow, Scikit-learn 
• LangChain, LlamaIndex, Semantic Kernel, MCP, A2A and Transformers 
• FastAPI, Flask 

Data & Analytics 

• SQL and NoSQL databases 
• Data pipelines, ETL, and data modeling 
• Experience with AWS, Azure and Google 

MLOps & DevOps 

• MLflow, Kubeflow, Azure ML, SageMaker 
• Docker and Kubernetes 
• Git, GitHub, Azure DevOps, Jenkins 
• CI/CD automation and model monitoring 

Cloud Platforms 

• AWS (preferred) 
• AWS Bedrock or Azure OpenAI Service 
• AWS SageMaker 
• Google Vertex AI 

Preferred Qualifications 

• Experience designing enterprise-scale AI platforms and products.  
• Knowledge of multi-agent architectures and autonomous AI systems.  
• Experience with vector databases such as Pinecone, Snowflake Cortex, Pgvector, Weaviate, Chroma, or Azure AI Search.  
• Understanding of AI governance, compliance, and Responsible AI frameworks.  
• Relevant certifications in Azure AI, AWS Machine Learning, or Google Cloud AI.

Hiring Alert – Java Full Stack with Python | Noida | FTE with Client

We are hiring for the below opportunity:

Role: Java Full Stack Developer with Python

Employment Type: Full-Time (FTE) with Client

Location: Noida

CTC: ₹30–35 LPA + 10% Variable (Maximum budget; non-negotiable)

Notice Period: Immediate joiners or candidates with up to 30 days' notice only

Mandatory Skills

• Strong experience in Java
• Full Stack development experience
• Good hands-on experience with Python
• Relevant experience in modern backend and frontend technologies

Selection Process

1. Online Assessment Test (mandatory)
2. Candidates who clear the assessment will be invited for an In-Person/Face-to-Face Interview.

Interview Date: Saturday, 8th August

Interview Location: Noida (Candidates must be available to attend in person.)

Important Notes

• Candidates must be willing to take the assessment before the interview.
• Salary expectations should be within the mentioned budget (₹30–35 LPA + 10% Variable, non-negotiable).
• Only immediate joiners or candidates serving a notice period of 30 days or less will be considered.

Please share suitable profiles after confirming:

• Current CTC
• Expected CTC (within budget)
• Notice Period
• Willingness to take the assessment
• Availability for the Face-to-Face interview in Noida on Saturday, 8th August

Job Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience : 4+ Years

Location : Gurugram, Sector 48, Haryana (On-site)

Employment Type : Full-Time

Working Days : Monday to Saturday (1st & 3rd Saturday Off)

About the Role :

We are looking for a hands-on DevOps Engineer / Site Reliability Engineer (SRE) with strong experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, and production application deployments.

The ideal candidate should have real-world production experience, excellent troubleshooting skills, and the ability to manage both infrastructure and application-level issues.

Mandatory Skills :

Linux, AWS, Docker, Kubernetes, Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI/CD, CI/CD, Infrastructure as Code (IaC), Python, Bash, Git, Grafana, Prometheus, ELK, CloudWatch, New Relic, SRE (SLI/SLO/SLA), Networking (DNS, HTTP/HTTPS, TCP/IP, Load Balancer), Production Application Deployment & Troubleshooting

Key Responsibilities :

• Manage and maintain AWS cloud infrastructure.
• Build and optimize CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
• Deploy, monitor, and troubleshoot applications across production environments.
• Automate infrastructure using Terraform and Ansible.
• Manage Docker containers and Kubernetes clusters.
• Monitor systems using Grafana, Prometheus, ELK, CloudWatch, and New Relic.
• Perform Linux server administration and troubleshooting.
• Handle production incidents, Root Cause Analysis (RCA), and improve system reliability.
• Collaborate with development teams to support application releases and automation.

Required Qualifications :

• Bachelor's degree in Computer Science or related field.
• 4+ years of hands-on experience in DevOps / SRE.
• Strong Linux administration and production troubleshooting skills.
• Experience with AWS and modern DevOps toolchains.
• Hands-on experience with application deployment and production support.

What We're Looking For :

• Strong practical Linux and cloud knowledge.
• Real production experience with application deployments.
• Ability to troubleshoot both infrastructure and application issues.
• Experience handling live production incidents.
• Excellent communication and problem-solving skills.
• Candidates should be comfortable with scenario-based technical discussions and demonstrate genuine hands-on expertise.

Interview Process :

1. HR Screening
2. Technical Round
3. Client Technical Round
4. Final Discussion

Note : The interview will focus on practical hands-on experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, application deployment, production troubleshooting, and real-world DevOps scenarios.

Technical Expertise

• Proficiency in Node.js or Python – Hands-on experience with backend development frameworks and best practices.

• Expertise in SQL/NoSQL Databases – Strong experience with MySQL, PostgreSQL, MongoDB, or DynamoDB.

• ElasticSearch & API Development – Strong knowledge of REST APIs, ElasticSearch, and high-availability system design.

• Cloud & DevOps – Hands-on experience with AWS, Kubernetes, Docker, and CI/CD pipelines.

• Data Structures & Algorithms – Strong command over data structures, algorithms, OOD, and design patterns.

• Version Control & Deployment – Experience with Git, GitHub Actions, and other deployment systems.

• High-Performance Systems – Implemented solutions that handle high availability, concurrency, and low-latency requirements.

Technical Expertise

• Proficiency in Node.js or Python – Hands-on experience with backend development frameworks

and best practices.

• Expertise in SQL/NoSQL Databases – Strong experience with MySQL, PostgreSQL, MongoDB, or

DynamoDB.

• ElasticSearch & API Development – Strong knowledge of REST APIs, ElasticSearch, and high-

availability system design.

• Cloud & DevOps – Hands-on experience with AWS, Kubernetes, Docker, and CI/CD pipelines.

• Data Structures & Algorithms – Strong command over data structures, algorithms, OOD, and

design patterns.

• Version Control & Deployment – Experience with Git, GitHub Actions, and other deployment

systems.

• High-Performance Systems – Implemented solutions that handle high availability, concurrency,

and low-latency requirements.

Aarohan Agri Products Pvt. Ltd.

We are looking for a passionate Entry-Level Full Stack Developer (MERN Stack) to join our team. Freshers and candidates with up to 1 year of experience are welcome to apply.

Job Description

Automation Developer (IBM MQ Migration Automation)

Automation Developer - MQ Migration Solutions

Location: Bangalore & Hyderabad

Experience: 8+ Years

Budget- 26 LPA

Job Summary

We are seeking an experienced Automation Developer to design, develop, and enhance automation solutions that support IBM MQ Queue Manager migration initiatives. The role focuses on integrating AI-powered automation tools with existing migration platforms and processes to create a unified, scalable, and end-to-end migration framework.

The ideal candidate will possess strong software development, scripting, and automation expertise, combined with experience in enterprise infrastructure, DevOps practices, and IBM MQ technologies.

Mandate Skills: Python, IBM MQ + Automation, API development, Shell/PowerShell scripting, CI/CD, Ansible/Terraform, AI automation exposure

Key Responsibilities

Design and develop automation solutions supporting IBM MQ migration activities.

Integrate multiple automation tools, scripts, and workflows into a unified migration framework.

Develop and maintain Python, Shell, and PowerShell automation scripts.

Create APIs and connectors to enable seamless orchestration and tool integration.

Automate migration discovery, assessment, execution, validation, and reporting processes.

Implement AI-assisted automation capabilities to improve migration efficiency and decision-making.

Develop reusable automation components and frameworks to support future migration initiatives.

Collaborate with MQ administrators, solution architects, infrastructure teams, and business stakeholders.

Troubleshoot and resolve automation-related issues across migration projects.

Develop and maintain technical documentation, deployment guides, and operational runbooks.

Support CI/CD pipeline implementation and automated deployment processes.

Ensure automation solutions adhere to enterprise security, compliance, and operational standards.

Required Technical Skills

Primary Skills

Python Development

Shell Scripting (Linux/Unix)

PowerShell Scripting

REST API Development and Integration

JSON/XML Data Processing

Git/GitHub Version Control

Automation & DevOps

Workflow Automation

Jenkins, Azure DevOps, or GitHub Actions

CI/CD Pipeline Development

Infrastructure as Code concepts

Ansible or Terraform (Preferred)

IBM MQ Skills

IBM MQ Queue Manager configuration and administration

MQ migration and deployment concepts

Queue Manager migration strategies

IBM MQ automation and scripting

Required Experience

5+ years of experience in automation development.

Strong programming experience with Python and scripting technologies.

Hands-on experience designing and implementing automation solutions and APIs.

Experience integrating multiple automation tools into unified workflow solutions.

Solid understanding of software development life cycle (SDLC) and DevOps practices.

Experience working with enterprise infrastructure and middleware technologies.

Experience in Agile/Scrum delivery environments.

Exposure to AI-assisted automation technologies is highly desirable.

Prior experience with IBM MQ administration or migration projects is preferred.

Key Competencies

We're hiring a GTM Engineer to sit at the intersection of engineering and go-to-market. You'll build the internal tooling and automations that power our growth — outbound systems, lead-gen and enrichment pipelines, CRM integrations, AI agents — and run rapid growth/GTM experiments end to end (funnel/CRO tests, growth loops, activation and retention). Engineering is the baseline: you write real code (Python/JS, APIs) and ship tools yourself. What sets you apart is proven, hands-on growth experimentation with measurable outcomes. Must-haves: genuine coding ability (ships tools/automations in real code); demonstrated ownership of growth/GTM experiments with results; 2–4 yrs experience. Nice to have: early-stage B2B SaaS background; AI agent / LLM tooling experience.

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.

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