4,210 Python Jobs in India

We are looking for an integration engineer to assist our rapidly growing customer base. As part of our integration team, you will be the primary point of contact for all integrations. You would be responsible for helping our clients integrate with OneFin APIs, configuring our system for clients, and providing ongoing help to them to resolve any issues.

Application form: https://forms.gle/KbbeXxqhwpwnCzcDA

Responsibilities

• Understand and explain APIs to clients. Help clients integrate OneFin APIs. Research and identify solutions to issues during integration.
• Escalate unresolved issues to appropriate internal teams (e.g., software developers).
• Become a product expert for clients.
• Configure the OneFin system for customized usage by clients. Identify and write internal and external technical articles or knowledge-base entries, like typical troubleshooting steps, workarounds, or best practices, how-to guides, etc.
• Automate the solution of common issues using Python.
• Help live clients resolve issues and coordinate with the development team for issue resolution.

Requirements and Qualifications:

• BS/B.Tech. in Computer Science, Engineering, or an equivalent.
• Strong verbal and written communication skills.
• Experience in writing code in Python.
• Understanding web-based systems.
• Proficient in understanding and writing JSON.
• Experience in SQL databases.
• Experience working with REST APIs.
• Excellent analytical skills, passion for pinning down technical issues, and solving problems.
• Enjoys a fast-paced startup environment.

Job Description

Role: Python Automation

Experience; 3+ years

Location: Bengaluru

Work mode: Hybrid

Interview Mode: Face to face - mandatory

Who are we looking for?

Technical Skills:

Mandatory

• 3 years experience in Python automation and Selenium
• Strong hands-on experience in Python programming and automation.
• Good experience with Selenium WebDriver and web application automation.
• Experience with Pandas, Excel, CSV, JSON, Regex, and file handling.
• Understanding of HTML, CSS, JavaScript, and web application concepts.
• Familiarity with Git/GitHub and Jenkins/CI-CD.
• Good debugging, problem-solving, analytical, and communication skills.

Process Skills:

• Experience with PyAutoGUI or desktop automation.
• Experience working in Linux and Windows environments.
• Knowledge of automation frameworks and software testing practices.

Behavioral Skills:

• Attitude towards learning new technologies and solving complex technical problems.
• Quick learner and team player
• Excellent communication skills

Certification/Qualification:

• Education qualification: B.Tech, BE, or equivalent technical degree from a reputed college linkedin post

Job Summary: We are seeking a highly skilled Full-stack Developer to join our dynamic team as a Delivery Module Lead. The ideal candidate will possess strong expertise in Python and front-end technologies, enabling them to design, develop, and maintain robust web applications. This role requires a proactive individual who can collaborate effectively with cross-functional teams to deliver high-quality software solutions that meet business needs.

• Proficient in Python programming language.
• Strong knowledge of front-end technologies such as HTML, CSS, and JavaScript.
• Experience with front-end frameworks like React, Angular, or Vue.js.
• Familiarity with back-end frameworks such as Django or Flask.
• Understanding of RESTful APIs and web services.
• Experience with version control systems, preferably Git.

Company: Wissen Technology

Position: Databricks Engineer

Experience: 6-10 Years

Location: Bengaluru/Mumbai

Employment Type: Full-time

About Wissen Technology

Wissen Technology is a global technology services company focused on delivering innovative software engineering, data, and technology solutions to leading enterprises. The company works with clients across industries to build scalable, high-performance technology platforms and solve complex business and technology challenges.

With a strong focus on engineering excellence, innovation, and collaboration, Wissen Technology brings together skilled technology professionals across areas such as software engineering, data engineering, cloud, analytics, and digital transformation.

At Wissen Technology, employees have the opportunity to work on challenging technology projects, collaborate with experienced engineering teams, and contribute to solutions that create measurable business impact.

Key Responsibilities

• Design, develop, and maintain scalable data processing applications using Python, PySpark, and Spark.
• Develop and optimize data pipelines and workflows on Databricks.
• Collaborate with data engineers, data scientists, business stakeholders, and other technical teams to understand requirements and deliver high-quality solutions.
• Ensure data integrity, quality, performance, and reliability across data processing pipelines.
• Write clean, maintainable, scalable, and efficient code following established coding standards and best practices.
• Perform data analysis and implement appropriate data validation and quality checks.
• Monitor, troubleshoot, and optimize performance issues across data workflows and pipelines.
• Work with relational databases and develop efficient SQL queries for data extraction and transformation.
• Participate in code reviews, testing, deployment, and continuous improvement of data engineering solutions.
• Use Git/version control and follow established software development and deployment practices.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Proven experience as a Databricks Developer, Data Engineer, or similar role.
• Strong hands-on expertise in Apache Spark and PySpark.
• Strong programming skills in Python; experience with Scala is an advantage.
• Strong proficiency in SQL and hands-on experience with relational databases.
• Practical experience developing and optimizing data pipelines and data processing applications.
• Familiarity with Git and version control systems.
• Strong understanding of data engineering concepts, data transformation, and data validation.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Role Overview

We are looking for an experienced AI/ML Engineer with strong expertise in Python, Generative AI, LLMs, LangChain, and LangGraph. The candidate will be responsible for designing and developing AI-powered applications, intelligent agents, and scalable LLM-based solutions.

Key Responsibilities

• Design and develop AI/ML and Generative AI applications using Python and modern LLM technologies.
• Build LLM-based applications and AI agents using LangChain and LangGraph.
• Develop agentic workflows involving tool calling, memory, reasoning, and multi-step orchestration.
• Integrate LLMs such as OpenAI, Azure OpenAI, Anthropic, Gemini, or other foundation models.
• Develop RAG (Retrieval-Augmented Generation) pipelines using vector databases.
• Work with embeddings, prompt engineering, semantic search, and document processing.
• Develop scalable APIs and backend services using Python, FastAPI, or Flask.
• Build and integrate AI solutions with existing applications and enterprise systems.
• Deploy and maintain AI/ML solutions on cloud platforms.
• Collaborate with data scientists, software engineers, and product teams to develop business-focused AI solutions.

Required Skills

• Strong hands-on experience in Python programming.
• Strong experience in AI/ML and Generative AI.
• Hands-on experience with LLMs and LLM-based application development.
• Strong experience with LangChain and/or LangGraph.
• Experience building AI Agents / Agentic AI workflows.
• Strong understanding of RAG, embeddings, vector databases, and prompt engineering.
• Experience with vector databases such as FAISS, Pinecone, Chroma, Weaviate, or Azure AI Search.
• Experience developing REST APIs using FastAPI/Flask.
• Good understanding of Machine Learning, NLP, and deep learning concepts.
• Experience with Azure / AWS / GCP cloud platforms.

Good to Have

• Experience with multi-agent systems and agent orchestration.
• Knowledge of MLOps / LLMOps.
• Experience with Docker, Kubernetes, and CI/CD.
• Knowledge of LLM evaluation, monitoring, observability, and AI governance.
• Experience with Azure OpenAI, Azure AI Foundry, or AWS Bedrock.

Location: Pune/Bengaluru

As a 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

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: 3+ years of proven software engineering experience, with a track record of leading small engineering teams or mentoring junior devs.
• High-Throughput Backend Focus: 3+ 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!)

🚀 Hiring: Python + Gen AI Developer

📍 Location: Bengaluru

💼 Experience: 4–6 Years

Mandatory Skills:

✅ Python

✅ Generative AI / Gen AI

✅ LLMs / AI Application Development

✅ Python Backend / API Development

Role:

Looking for a skilled Python + Gen AI Developer with hands-on experience in developing Python-based applications and integrating Generative AI/LLM solutions.

🔹 Develop scalable Python applications

🔹 Build and integrate Gen AI/LLM solutions

🔹 Develop APIs and backend services

🔹 Collaborate with cross-functional teams

🔹 Troubleshoot and optimize applications

📩 Interested candidates can share their updated resume.

#Hiring #PythonDeveloper #GenAI #GenerativeAI #LLM #AIJobs #BengaluruJobs #TechHiring #ITJobs

Embedded Systems / Firmware Engineer

Key Responsibilities

• Develop embedded firmware for IoT and connected devices using C/C++.
• Work on RTOS, bare-metal programming, memory management, device drivers, and communication protocols.
• Develop and integrate drivers/interfaces for cameras, motors, sensors, and vision systems.
• Work with Python and Shell scripting for development and automation.
• Apply basic AI/ML and computer vision concepts to embedded applications.
• Collaborate on electrical and mechanical design, hardware integration, testing, and debugging.

Required Skills

• C, C++, Python, Shell Scripting
• Embedded Systems & Firmware
• IoT, RTOS, Bare Metal
• Memory Management & Device Drivers
• Communication Protocols
• Camera, Motor & Vision Systems
• Basic AI/ML understanding
• Electrical & Mechanical Design understanding

Job Description:

We are looking for an experienced Middleware Administrator with strong expertise in IBM WebSphere Application Server, Linux administration, Python scripting and Java application support. The candidate will be responsible for managing enterprise middleware environments, production support, troubleshooting, deployments and automation activities.

Key Responsibilities:

• Administer, build, configure, maintain and troubleshoot IBM WebSphere Application Server / WebSphere Liberty.
• Support Linux-based server infrastructure hosting critical enterprise applications.
• Monitor application server health, performance, capacity and availability.
• Perform platform upgrades, patching, configuration changes and system maintenance.
• Deploy and support enterprise applications across WebSphere environments.
• Investigate and resolve application, middleware and infrastructure issues.
• Provide production support and participate in on-call rotations.
• Develop and maintain operational documents, runbooks and support procedures.
• Perform application deployments and support CI/CD processes.
• Develop Python scripts for automation and operational improvements.
• Work with infrastructure automation and monitoring tools.
• Collaborate with application, infrastructure and development teams to resolve critical production issues.
• Follow incident, change and problem management processes.

Required Skills:

• 8+ years of overall IT experience.
• 3+ years of hands-on experience with IBM WebSphere Application Server or WebSphere Liberty.
• 3+ years of experience supporting Linux server environments.
• Strong experience in Python scripting and automation.
• Experience in Java application support.
• Good knowledge of IBM Middleware technologies.
• Experience with application deployment and CI/CD processes.
• Exposure to infrastructure automation and monitoring tools.
• Strong troubleshooting and production support experience.
• Good communication and stakeholder management skills.

Fifteen professional sports teams use our product every day. You would be the engineer who owns it.

Pixology is an AI-native platform for the sponsorship economy. Sports teams use us to turn their sponsorship inventory and a brand's objectives into visual concepts, tailored pitches and the films that win deals. Work that used to take a designer two weeks now takes hours.

We are live with fifteen teams across nine leagues, including clubs in the NFL, MLB, NBA, NHL and MLS. Three founders, out of MIT. You would be our first engineering hire in India.

THE HONEST VERSION OF THIS JOB

Our CTO built this platform largely with AI coding tools. It works. Real customers, real usage, real revenue. It also has the shape you would expect from that: patterns that differ between files, test coverage that is thin in places, and decisions nobody wrote down.

You are not joining to maintain somebody's tidy codebase. You are joining to take ownership of a working product that needs a proper engineer's hands on it, and then to build the next two years of it.

If that reads as a problem, this is not your role. If you have inherited a system before and found the archaeology satisfying, keep reading.

WHAT YOU WILL OWN

The whole stack. Frontend, backend services, database, API integrations. There is nobody else to hand a ticket to.

Applied AI. Generative models that turn sponsorship inventory and brand context into visual concepts and pitch material. Production AI, not a demo.

Evaluation infrastructure. Harnesses and regression tests that let us compare models, validate prompt changes, and track output quality, latency and inference cost. This barely exists today and it matters more every month.

The media pipeline. Timeline-based video editing. Clip trimming and sequencing, transitions, audio synchronisation, rendering and export. Genuinely hard engineering, and the part customers notice most.

Shipping. Design, build, test, deploy. Customer bugs come to you.

WHAT WE ARE LOOKING FOR

Around five years building production software, with real ownership of something live.

Strong across the stack, with a view on where logic belongs rather than just the ability to write both halves.

You have inherited a codebase you did not write and made it better without rewriting it.

Working knowledge of LLM APIs and the practical tradeoffs: cost, latency, reliability, evaluation.

You debug well. Given an unfamiliar system and a failing case, you find the cause rather than the symptom.

Nice to have: media processing (FFmpeg, rendering pipelines), computer vision, evaluation tooling, early-stage experience, any interest in sport.

COMPENSATION AND SETUP

40 to 50 LPA, all cash. No equity, and we would rather say so now than in your third interview. We have taken the view that we would rather pay you properly today than hand you a number on a slide that may be worth nothing in four years.

Hybrid. At least one day a week together in our Basavanagudi office, the rest is yours. If you live in South Bengaluru, you never touch the Outer Ring Road.

HOW TO APPLY

No CV screen. Answer these two questions and we will read every one.

1. Describe a codebase you inherited that you did not respect. What did you change first, and what did you deliberately leave alone?
2. Tell us about a production bug where the cause was not where you first looked. How did you find it?

Data Architect – Databricks & AWS

• Strong experience in Data Architecture, Data Engineering, Databricks, Apache Spark/PySpark, Python, and Advanced SQL.
• Design and implement scalable ETL/ELT pipelines, data platforms, and Lakehouse architectures using Medallion Architecture.
• Experience with Databricks, Databricks Workflows, Unity Catalog OR Databricks Jobs
• Strong knowledge of Delta Lake, Databricks Workflows, Delta Live Tables (DLT), and dimensional data modeling.
• Hands-on experience with AWS services such as S3, Glue, IAM, Lambda, and CloudWatch.
• Experience with Apache Airflow, Data Warehouse concepts, Git/CI-CD, performance optimization, and data quality.
• Good to have exposure to Kafka/Structured Streaming, Unity Catalog, and modern data governance.

We are looking for a hands-on Engineering Lead who can own backend engineering, DevOps, and delivery management.

This is not a coordination-only role. You will contribute technically while establishing the processes, accountability, and

operating rhythm needed for predictable delivery. You will manage multiple engineers and effectively use AI coding

agents and automation tools to improve the team's output without compromising quality.

Key Responsibilities

• Own the architecture, development, deployment, and reliability of our backend systems.

• Lead engineers through clear goals, task breakdowns, ownership, reviews, and regular feedback.

• Establish a process-oriented delivery system covering planning, estimation, execution, testing, release, and

retrospectives.

• Translate product requirements into technical plans, milestones, dependencies, and measurable deliverables.

• Track execution proactively, identify delivery risks early, and communicate status clearly.

• Remain hands-on with critical development, debugging, architecture, code reviews, and production issues.

• Own CI/CD, infrastructure, observability, deployment practices, and operational readiness.

• Improve engineering quality through coding standards, automated testing, documentation, and review processes.

• Delegate work effectively across team members according to their strengths and development needs.

• Use AI coding agents and engineering automation to parallelise suitable work, while reviewing and validating all

outputs.

• Build a culture of accountability in which work has clear owners, acceptance criteria, deadlines, and definitions of

done.

• Collaborate closely with product and business stakeholders to balance speed, scope, quality, and technical debt.

What We Are Looking For

• 6+ years of backend engineering experience.

• At least 2 years of experience leading or managing an engineering team.

• Strong hands-on backend development experience with Python, FastAPI, Django + Django REST Framework, and

PostgreSQL.

• Practical experience with cloud infrastructure (AWS), DevOps, CI/CD, containers (Docker), monitoring, and

production operations.

• Experience working in a mature, process-oriented engineering environment.

• Demonstrated ability to improve delivery predictability and engineering throughput.

• Strong understanding of agile planning, estimation, sprint execution, incident management, and retrospectives.

• Ability to manage multiple people and concurrent streams of work.

• Experience reviewing architecture, pull requests, test plans, and production-readiness requirements.

• Strong written and verbal communication skills.

• Ability to give direct, constructive feedback and hold team members accountable.

• Sound judgement about when to build, delegate, automate, or reduce scope.

Tech Stack

Must-have: Python, FastAPI, Django + Django REST Framework, PostgreSQL, SQLAlchemy (async) + asyncpg, Pydantic,

REST API design + JWT authentication, Docker, AWS (ECS, ALB, ECR, CloudWatch, S3, Secrets Manager), Git.

Strongly preferred: Redis, Elasticsearch / OpenSearch, WebSockets, Payment gateways (Razorpay / Cashfree), Third-

party / ERP integrations, CI/CD (AWS CodeBuild or GitHub Actions).

Nice-to-have: Frappe / ERPNext + MariaDB, Microservices architecture, PostHog / CleverTap / Firebase, B2B e-commerce

or order management experience.

AI-Assisted Engineering

The ideal candidate should be comfortable incorporating AI into the software-development lifecycle. This includes:

• Breaking work into tasks that can be delegated safely to coding agents.

• Running multiple human and agent-led workstreams concurrently.

• Providing agents with clear context, constraints, and acceptance criteria.

• Reviewing generated code for correctness, security, maintainability, and architectural fit.

• Using automation to accelerate testing, documentation, refactoring, and operational workflows.

• Measuring whether AI tooling produces genuine delivery improvements.

We do not expect blind reliance on generated output. The Engineering Lead remains accountable for the quality and

correctness of everything shipped by the team.

Success in the First 90 Days

• Understand the existing architecture, infrastructure, team capabilities, and delivery bottlenecks.

• Take ownership of backend and DevOps execution.

• Introduce a consistent planning, tracking, review, and release cadence.

• Establish visibility into ownership, progress, dependencies, and delivery risks.

• Improve CI/CD, testing, monitoring, and production-readiness practices.

• Create an effective delegation model across engineers and AI agents.

• Deliver at least one meaningful product or platform milestone predictably from planning through production.

Nice to Have

• Experience scaling an early-stage or growing engineering team.

• Experience hiring, mentoring, and performance-managing engineers.

• Experience with infrastructure as code, security practices, and cloud-cost optimisation.

• Experience managing migrations, reliability improvements, or legacy-system modernisation.

• Previous experience introducing AI-assisted development workflows into an engineering team.

Who Will Succeed in This Role

You are likely to succeed if you are equally comfortable discussing architecture, reviewing code, resolving a production incident, planning a release, and having an accountability conversation with an engineer. You bring structure without creating unnecessary bureaucracy and know how to turn product priorities into consistent, high-quality delivery.

Primary Roles & Responsibilities

▸ At SDE-2 you will build, and maintain end-to-end RAG pipelines — from ingestion and chunking to retrieval and LLM response synthesis 

▸ Design and develop MCP (Model Context Protocol) servers that power AI agents and multi-step workflows 

▸ Development on Next.js / React.js frontend modules for our AI product suite 

▸ Own PostgreSQL database design — schema modelling, indexing strategy, query optimisation, and migration management 

▸ Integrate third-party AI APIs (Gemini, OpenAI, Anthropic, etc.) and open-source models into production-grade applications  

▸ Work directly with Founders for product and leadership to scope features, estimate effort, and make architectural recommendations 

▸ Stay ahead of the AI engineering curve — evaluate new tools, frameworks, and models and bring recommendations to the team 

▸ Deep hands-on experience with RAG: multi-stage retrieval, re-ranking, hybrid search, prompt engineering 

▸ Experience building or extending MCP servers — understanding of tool calling, context passing, and agent orchestration 

▸ Strong proficiency in Next.js and React.js — you've built production UIs with proper state management, routing, and performance considerations 

▸ PostgreSQL expertise: advanced queries, indexing, schema design for complex domains, migrations in production 

▸ TypeScript proficiency — you write it by default, not as an afterthought 

▸ Experience with at least one vector database (pgvector, Pinecone, Weaviate, Qdrant) 

Good to Have: 

▸ Experience with streaming LLM responses, tool/function calling, and multi-agent frameworks 

▸ Familiarity with LangChain, LlamaIndex, or custom agentic implementations 

▸ Exposure to cloud infrastructure (AWS / GCP / Azure) and containerisation (Docker) 

▸ Knowledge of frontend design systems, Tailwind CSS.

▸ Prior experience working directly with product or business stakeholders 

Responsibilities:

• Architect, develop, and maintain backend components for our Risk Decisioning Platform.
• Build and orchestrate scalable backend services that automate, optimize, and monitor high-value credit and risk decisions in real time.
• Integrate with ORM layers - such as SQLAlchemy - and multi-RDBMS solutions (Postgres, MySQL, Oracle, MSSQL, etc. ) to ensure data integrity, scalability, and compliance.
• Collaborate closely with Product Team, Data Scientists, QA Teams to create extensible APIs, workflow automation, and AI governance features.
• Architect workflows for privacy, auditability, versioned traceability, and role-based access control, ensuring adherence to regulatory frameworks.
• Take ownership from requirements to deployment, seeing your code deliver real impact in the lives of customers and end users.

Requirements:

• Proficiency in Python, SQLAlchemy (or similar ORM), and SQL databases.
• Experience developing and maintaining scalable backend services, including API, data orchestration, ML workflows, and workflow automation.
• Solid understanding of data modeling, distributed systems, and backend architecture for regulated environments.
• Curiosity and drive to work at the intersection of AI/ML, fintech, and regulatory technology.
• Experience mentoring and guiding junior developers.

Technical Skills:

• Languages: Python 3.9+, SQL, JavaScript/TypeScript, Angular.
• Frameworks: Flask, SQLAlchemy, Celery, Marshmallow, Apache Spark.
• Databases: PostgreSQL, Oracle, SQL Server, Redis.
• Tools: pytest, Docker, Git, Nx.
• Cloud: Experience with AWS, Azure, or GCP preferred.
• Monitoring: Familiarity with OpenTelemetry and logging frameworks.

Gen AI Full stack Developer:

We're looking for a Full Stack Software Engineer to help build Gen-AI applications for energy industry. If you are interested in leverage cutting-edge techniques to build APIs and complex data pipelines with end-to-end ownership of the feature you build alongside a team of some of the best engineers in the energy industry, then you will love working at Enverus. We are looking for a developer with a natural curiosity, and preferably someone who has full stack experience and a willingness to pick up additional skills on the job!

The Team:

You will join our software engineering team which focus on the forefront of innovation in the energy industry. Here, you'll be part of a highly collaborative and agile group dedicated to prototyping and leveraging cutting-edge technologies to develop new products and solutions. Come join the team and help pioneer Enverus’ mission to drive the future of energy.

What you will do: 

• Full Stack Development: Design and implement user-facing features using modern frontend frameworks (React, TypeScript) integrated with Python-based backend services 

• Scalable APIs: Develop RESTful APIs and microservices that power GenAI applications across the platform 

• Data Pipelines: Build and maintain data processing workflows using AWS services (S3, Lambda, DynamoDB, OpenSearch) 

• End-to-End Features: Own features from concept to production—frontend, backend, database, and deployment 

• GenAI Integration: Implement and optimize AI/ML model integrations, including LLMs and agentic workflows

• Modern Engineering: Work in an agile environment with CI/CD, automated testing, code reviews, and continuous improvement

What You Bring

Required

• Education: Bachelor's degree in Computer Science or related field

• Experience: 4+ years as a software developer with full stack exposure

• Backend Expertise: Strong Python, TypeScript skills with experience building APIs and backend services

• Frontend Proficiency: Experience with modern JavaScript frameworks (React, Vue, or Angular) and TypeScript

• Cloud Architecture: Hands-on experience with AWS services (S3, Lambda, DynamoDB, API Gateway)

• Database Knowledge: Proficiency with both relational (PostgreSQL/MySQL) and NoSQL databases

• DevOps Mindset: Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and version control (Git)

• Problem Solving: Strong foundation in data structures, algorithms, and system design

• Communication: Excellent English communication skills; able to collaborate effectively across teams

Full Stack Developer – AI/ML & GenAI

Location: Mumbai

Experience: 7–9 Years

Employment Type: Full-time

Virtual Drive: Saturday

We are looking for a Python Full Stack Developer with 3+ years of hands-on experience in AI/ML and Generative AI.

Key Skills: Python Full Stack, FastAPI/Flask/Django, React/Angular, AI/ML, GenAI, LLMs, RAG, Embeddings, Vector Databases, Cloud (AWS/Azure/GCP), CI/CD, Docker & Kubernetes.

Job Summary

We are looking for a skilled C++ Developer with DevOps and Simulation experience to work on simulation platforms and ADAS application workflows. The ideal candidate should have strong programming knowledge in C++, hands-on experience with simulation toolchains, and exposure to Azure Cloud, CI/CD, Python automation, Git, and software testing.

The candidate will be responsible for developing and maintaining simulation-related software, automating simulation workflows, integrating CI/CD pipelines, and supporting scalable simulation workloads in Azure.

Key Responsibilities

• Develop, maintain, and enhance C++ applications and components for simulation and ADAS workflows.
• Work with Simulation Tool Chain (STC) software, concepts, data architectures, and simulation workflows.
• Configure and automate simulation pipelines using Python scripting.
• Develop and maintain CI/CD pipelines using Azure DevOps/Azure Pipelines.
• Use Azure VM, Azure Storage, and other Azure services to scale and execute simulation workloads.
• Integrate simulation applications and testing processes into automated build and deployment pipelines.
• Manage source code using Git and follow branching, merging, and version-control practices.
• Write and maintain unit tests in C++ using appropriate testing frameworks.
• Perform simulation validation and analyze simulation results to identify software issues.
• Troubleshoot build, integration, simulation, and deployment issues.
• Collaborate with software developers, simulation engineers, QA engineers, and ADAS teams.
• Improve automation, reliability, scalability, and performance of simulation workflows.

Mandatory Skills

• Strong programming experience in C++.
• Hands-on experience with Simulation Tool Chains (STC) or automotive simulation environments.
• Understanding of ADAS / Autonomous Driving application workflows.
• Experience with Python scripting and automation.
• Hands-on experience with Azure Cloud, particularly:
• Azure VM
• Azure Pipelines
• Azure Storage
• Good understanding of Git and version-control workflows.
• Experience with CI/CD concepts and pipelines.
• Knowledge of C++ unit testing frameworks such as Google Test/Google Mock.
• Understanding of simulation validation and testing methodologies.
• Strong debugging and problem-solving skills.

Good to Have

• Automotive / Embedded Software development experience.
• Experience with ADAS, autonomous driving, or vehicle simulation.
• Experience with Docker/containers.
• Jenkins or GitLab CI experience.
• Knowledge of Linux.
• Experience with simulation platforms such as dSPACE, Vector, MATLAB/Simulink, CarMaker, CARLA, or similar tools.
• Knowledge of automotive standards such as AUTOSAR is an advantage.

ob Summary

We are looking for an experienced Site Reliability Engineer (SRE) / Production Support Engineer with strong hands-on experience in application and production support, incident management, monitoring, cloud operations, automation, and infrastructure technologies.

The ideal candidate will be responsible for ensuring the availability, reliability, performance, and stability of production applications and infrastructure. The role involves troubleshooting critical production issues, monitoring applications and infrastructure, supporting deployments, managing incidents, and driving automation and operational improvements.

Key Responsibilities

• Provide L2/L3 Application and Production Support for critical business applications.
• Monitor production applications, infrastructure, batch jobs, and system health.
• Handle and troubleshoot critical production incidents, ensuring timely resolution and minimal business impact.
• Participate in Incident, Problem, and Change Management processes.
• Perform root-cause analysis (RCA) for recurring and major production issues.
• Troubleshoot issues related to applications, networks, load balancers, databases, operating systems, and infrastructure.
• Monitor application and infrastructure performance using Splunk, APM, and other monitoring tools.
• Create and maintain Splunk queries, dashboards, alerts, and operational monitoring.
• Support production deployments, including Blue-Green and Canary deployment strategies.
• Work with cloud infrastructure and perform day-to-day Cloud Operations activities.
• Manage and troubleshoot containerized applications using Docker and Kubernetes.
• Work with Terraform / Infrastructure as Code (IaC) for infrastructure provisioning and automation.
• Support Linux and Windows server administration.
• Develop and maintain Shell scripts and Python automation scripts to reduce manual operational activities.
• Monitor and analyze SLIs, SLOs, Error Budgets, and Burn Rates.
• Identify reliability risks and proactively implement solutions to improve system availability and performance.
• Collaborate with Development, DevOps, Infrastructure, Network, Database, and Cloud teams during production incidents.
• Leverage GenAI tools such as GitHub Copilot, Claude, or similar tools to improve troubleshooting, automation, documentation, and operational efficiency.
• Participate in on-call/shift-based production support as required by business and customer needs.

Mandatory / Key Skills

• Production / Application Support
• Incident Management
• Production Monitoring & Batch Monitoring
• Splunk – Queries, Dashboards & Monitoring
• APM / Application Performance Monitoring
• SLI / SLO / Error Budget / Burn Rate
• Cloud Operations
• Kubernetes
• Docker
• Terraform / Infrastructure as Code
• Linux & Windows Administration
• Shell Scripting
• Python Scripting / Automation
• Production Deployment Support
• Blue-Green & Canary Deployments
• Network, Load Balancing & Database Troubleshooting

​

Role Overview

We are looking for an experienced Data Scientist – Agentic AI with strong expertise in Python, Machine Learning, Generative AI, Large Language Models (LLMs), RAG and Agentic AI.

The ideal candidate should have hands-on experience in developing, fine-tuning, evaluating and deploying machine learning and GenAI solutions. The candidate should be comfortable working with open-source LLMs, LangChain/LangGraph, PySpark and AI observability/tracing frameworks.

The role involves building intelligent AI systems that can reason, use tools, retrieve information and execute multi-step tasks using Agentic AI architectures.

Mandatory Technical Skills

1. Data Science & Python

• 5+ years of experience in Data Science / Machine Learning / AI.
• Strong programming experience in Python.
• Strong understanding of data analysis, feature engineering and statistical techniques.
• Experience with Python ML and data science libraries such as:
• NumPy
• Pandas
• Scikit-learn
• Matplotlib / Seaborn
• Good understanding of data preprocessing, exploratory data analysis and experimentation.

2. Machine Learning & Statistics

• Strong understanding of Machine Learning fundamentals.
• Experience with supervised and unsupervised learning techniques.
• Knowledge of:
• Regression
• Classification
• Clustering
• Feature Engineering
• Model Selection
• Hyperparameter Tuning
• Cross-validation
• Strong understanding of Statistics / ML fundamentals.
• Ability to interpret model performance and statistical results.

3. Generative AI / LLM

• Strong hands-on experience with Generative AI and Large Language Models (LLMs).
• Understanding of Transformer architecture and modern LLM-based applications.
• Experience working with commercial or open-source LLMs.
• Strong understanding of:
• Prompt Engineering
• Context Management
• Embeddings
• Tokenization
• LLM inference
• Hallucination mitigation

4. RAG – Retrieval Augmented Generation

• Strong hands-on experience developing RAG applications.
• Experience with:
• Document ingestion
• Chunking
• Embeddings
• Vector search
• Semantic search
• Retrieval pipelines
• Context retrieval
• Reranking
• Ability to optimize RAG pipelines for relevance, accuracy and latency.
• Experience integrating LLMs with enterprise knowledge sources.

5. Agentic AI

• Hands-on experience building Agentic AI / AI Agent solutions.
• Understanding of agent architecture and multi-step reasoning workflows.
• Experience with:
• AI Agents
• Multi-Agent systems
• Tool Calling
• Function Calling
• Agent orchestration
• Planning and reasoning workflows
• Memory
• Workflow automation
• Ability to build agents that can interact with tools, APIs, databases and external systems.

6. LangChain / LangGraph

• Strong hands-on experience with LangChain and/or LangGraph.
• Experience building LLM workflows and agent-based applications.
• Understanding of:
• Chains
• Agents
• Tools
• State management
• Graph-based workflows
• Agent orchestration
• Retrieval workflows
• Experience designing scalable Agentic AI workflows.

7. LLM Fine-Tuning

• Hands-on experience with LLM fine-tuning.
• Understanding of techniques such as:
• Supervised Fine-Tuning (SFT)
• Parameter-Efficient Fine-Tuning
• LoRA
• QLoRA
• Experience preparing datasets for fine-tuning.
• Ability to evaluate fine-tuned models against baseline models.
• Understanding of model optimization and inference considerations.

8. BERT / LLaMA / Open-Source LLMs

Experience working with one or more open-source / transformer-based models such as:

• BERT
• LLaMA / Llama
• Mistral
• Gemma
• Qwen
• Other open-source LLMs

Candidate should understand model loading, inference, fine-tuning and evaluation.

9. PySpark

• Strong experience with PySpark for large-scale data processing.
• Experience working with large datasets and distributed data processing.
• Knowledge of:
• Data transformations
• Data cleaning
• Aggregations
• Joins
• Spark SQL
• Performance optimization
• Ability to build scalable data processing pipelines.

10. Model Validation & Evaluation

• Experience validating and evaluating ML and GenAI models.
• Understanding of traditional ML evaluation metrics.
• Experience evaluating LLM/RAG applications using relevant quality metrics.
• Ability to compare model performance and identify areas for improvement.
• Experience with:
• Accuracy
• Precision
• Recall
• F1 Score
• ROC-AUC
• Retrieval metrics
• LLM response quality
• Groundedness / relevance
• Experience designing evaluation datasets and test cases is preferred.

11. AI Tracing / Observability

• Experience with AI/LLM tracing and observability.
• Ability to monitor AI applications in production.
• Experience tracking:
• LLM requests/responses
• Latency
• Token usage
• Errors
• Retrieval performance
• Agent/tool execution
• Model performance
• Exposure to tools/frameworks such as LangSmith, OpenTelemetry, Arize Phoenix, MLflow or similar is preferred.

12. Model Deployment

• Experience deploying ML/LLM/GenAI solutions into production.
• Exposure to cloud and/or on-premise model deployment.
• Experience with model serving, APIs and production inference.
• Knowledge of deployment environments such as:
• AWS
• Azure
• GCP
• On-premise infrastructure
• Experience with Docker, APIs and CI/CD is an advantage.

Key Responsibilities

• Design, develop and deploy Data Science, Machine Learning and GenAI solutions.
• Build production-ready RAG and Agentic AI applications.
• Develop intelligent agents capable of tool calling, reasoning and multi-step task execution.
• Build LLM-powered applications using LangChain/LangGraph.
• Work with open-source LLMs including BERT, LLaMA and other transformer-based models.
• Fine-tune LLMs for specific business use cases.
• Develop scalable data processing pipelines using PySpark.
• Perform data analysis, feature engineering and statistical modeling.
• Develop and maintain model validation and evaluation frameworks.
• Evaluate ML and LLM models using appropriate performance and quality metrics.
• Implement AI tracing, monitoring and observability for production GenAI systems.
• Deploy models and AI applications in cloud or on-premise environments.
• Optimize model performance, response quality, latency and cost.
• Troubleshoot issues related to model inference, retrieval, agents and LLM workflows.
• Collaborate with Data Scientists, ML Engineers, Software Engineers and business stakeholders.
• Convert business requirements into scalable AI/ML solutions.

Good to Have

• Experience with Vector Databases such as:
• FAISS
• Pinecone
• Weaviate
• Milvus
• Chroma
• Azure AI Search
• Experience with MLflow or similar ML lifecycle tools.
• Experience with Docker/Kubernetes.
• Experience with REST APIs / FastAPI.
• Knowledge of cloud AI/ML services.
• Experience with MLOps / LLMOps.
• Experience with multi-agent frameworks other than LangChain/LangGraph.
• Experience working with enterprise GenAI applications.

Ideal Candidate Profile

The ideal candidate should be a Data Scientist / ML Engineer with strong GenAI and Agentic AI experience, rather than a pure Python developer.

A strong candidate would typically have:

Data Science + Python + ML + Statistics + GenAI/LLM + RAG + Agentic AI + LangChain/LangGraph + LLM Fine-Tuning + Open-Source LLMs + PySpark + Model Evaluation + AI Observability + Model Deployment.

Core Mandatory Skills

Data Science, Python, Machine Learning, Statistics/ML Fundamentals, GenAI/LLM, RAG, Agentic AI, LangChain/LangGraph, LLM Fine-Tuning, BERT/LLaMA/Open-Source LLMs, PySpark, Model Validation/Evaluation, AI Tracing/Observability, Cloud/On-Prem Model Deployment.

Job Description – Python & Generative AI Engineer

Python & Generative AI Engineer

Location: Bangalore, India

Experience: 4+ Years

Employment Type: Full-time

Job Summary

We are looking for an experienced Python & Generative AI Engineer with 4+ years of software development experience and strong hands-on expertise in Python, LLMs, Generative AI, and AI application development.

The ideal candidate should be comfortable building production-grade AI solutions, integrating LLMs with enterprise applications, and developing scalable APIs and services using Python.

Key Responsibilities

• Design, develop, and deploy Generative AI applications using Python and modern AI/ML frameworks.
• Work with Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, or similar models.
• Develop RAG (Retrieval-Augmented Generation) pipelines using vector databases and embedding models.
• Build AI-powered applications using frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent.
• Develop scalable REST APIs and backend services using FastAPI, Flask, or Django.
• Integrate LLM APIs, prompt engineering, function/tool calling, and structured outputs into enterprise applications.
• Work with vector databases such as FAISS, Pinecone, Weaviate, Milvus, or Azure AI Search.
• Implement document processing, chunking, embeddings, semantic search, and knowledge retrieval solutions.
• Evaluate LLM responses for accuracy, relevance, hallucination, latency, and cost.
• Build and maintain production-ready AI pipelines with appropriate monitoring, logging, security, and error handling.
• Collaborate with data scientists, ML engineers, software engineers, and business stakeholders to deliver AI solutions.
• Write clean, reusable, testable, and well-documented Python code.
• Participate in architecture discussions, code reviews, testing, deployment, and production support.

Required Skills

• 4+ years of experience in software/Python development.
• Strong proficiency in Python and object-oriented programming.
• Hands-on experience with Generative AI and LLM-based applications.
• Experience with OpenAI/Azure OpenAI, Anthropic, Google Gemini, or open-source LLMs.
• Strong understanding of Prompt Engineering and LLM application patterns.
• Experience implementing RAG pipelines.
• Knowledge of embeddings, vector databases, semantic search, and document retrieval.
• Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Strong experience developing REST APIs using FastAPI/Flask/Django.
• Familiarity with Git, CI/CD, Docker, and cloud platforms such as AWS, Azure, or GCP.
• Good understanding of SQL and databases.
• Strong problem-solving and communication skills.

Good to Have

• Experience with AI agents / Agentic AI and tool/function calling.
• Experience with multi-agent frameworks.
• Knowledge of MLOps/LLMOps and model evaluation.
• Experience with Kubernetes and containerized deployments.
• Knowledge of NLP, machine learning, or deep learning.
• Experience with Azure AI, AWS Bedrock, Amazon SageMaker, or Google Vertex AI.
• Understanding of responsible AI, data privacy, and LLM security.

Education

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

Overview

Planview has one mission: to build the future of connected work, from ideas to impact.

As the global leader in work and resource management, Planview helps organizations accelerate the achievement of what matters most, supporting our customers from need to speed, from passion to progress, and from overhead to optimization. We provide the industry’s most comprehensive solutions designed for strategic planning, portfolio and resource management, Lean and Agile delivery, product portfolio management, capability, technology management (enterprise architecture), innovation management, collaborative work and project management. Our connected platform of solutions underpins the business and digital transformations of more than 4,500 customers globally, including 59 of the Fortune 100.

At Planview, our people connections drive our innovation and success. Our global team of 1400+ work remotely and across our offices including Austin, Vancouver, Hod HaSharon, Bangalore, and Stockholm. We are proud of our world-class, connected culture built on our shared values, that supports our teams to be successful from anywhere.

The Opportunity

Join our product development team at Planview as a Software Engineer 2 and contribute to the Viz Core Team. This role provides an exciting opportunity to support the development of data processing pipelines and APIs that form the backbone of our software solutions. You will work collaboratively to enhance the efficiency of software delivery, developing solutions that help organizations harness and interpret workflow data.

In this role, you will

•Collaborate with senior engineers to create and refine data processing architectures that integrate with various external tools.

•Assist in analyzing problems, defining requirements, and proposing solutions that align with the team’s objectives.

•Contribute to a culture of quality and continuous improvement by providing thoughtful feedback on code and design.

•Learn and apply best practices in cloud architectures and data processing to deliver high-quality software solutions.

•Engage in an environment that values innovation and teamwork, where your contributions will positively impact the delivery of software solutions.

Who we are looking for

The ideal candidate is an emerging professional in cloud software development with a solid foundation in data processing and software systems. You thrive in collaborative environments and are eager to learn and grow within the field.

Preferred qualifications skills, knowledge, and expertise

•Degree in Computer Science, Engineering, or a related field.

•3+ years of experience with any modern programming language, focusing on back-end systems and cloud-based technologies.

•Basic understanding of data structures, algorithms, and software development methodologies.

•Familiarity with cloud platforms, particularly AWS or similar services.

Other beneficial qualifications

•Exposure to big data technologies like Spark or Apache Kafka.

•Experience with Java (v17), Scala, or other JVM programming languages.

•Familiarity with storage tools such as PostgreSQL and MongoDB.

• Understanding of continuous integration/deployment tooling such as GitHub or Jenkins.

• Awareness of Test-Driven Development practices.

• Basic knowledge of containers and orchestration tools like

Overview

Planview has one mission: to build the future of connected work, from ideas to impact.

As the global leader in work and resource management, Planview helps organizations accelerate the achievement of what matters most, supporting our customers from need to speed, from passion to progress, and from overhead to optimization. We provide the industry’s most comprehensive solutions designed for strategic planning, portfolio and resource management, Lean and Agile delivery, product portfolio management, capability, technology management (enterprise architecture), innovation management, collaborative work and project management. Our connected platform of solutions underpins the business and digital transformations of more than 4,500 customers globally, including 59 of the Fortune 100.

At Planview, our people connections drive our innovation and success. Our global team of 1400+ work remotely and across our offices including Austin, Vancouver, Hod HaSharon, Bangalore, and Stockholm. We are proud of our world-class, connected culture built on our shared values, that supports our teams to be successful from anywhere. 

Responsibilities

• Deliver some of our most strategic projects that have a significant bottom-line impact on our business and competitive position
• Grow world-class development teams that design, develop, and test both standalone and cross-product applications that span across various Planview products
• Design, build and own product modules and programs that delight our global customers
• Coach agile engineering teams to write maintainable and scalable components and influence team and product decisions
• Develop highly motivated and talented teams that can effectively collaborate with stakeholders to imagine, design, develop, test, and launch software that impacts our customers and inspires peers
• Initiate processes allowing teams to collaborate efficiently with local and international groups
• Drive continuous improvement of software quality, CX, and maintainability of features
• Contribute to the product’s architecture vision and execution, working closely with cross-product team leads and other leaders within the R&D department

Qualifications

• Experience in a software product’s transformational journey – Monolith to Microservices
• In-depth knowledge and experience programming in NodeJS/Python or related technologies
• Thorough understanding and experience in cloud computing systems
• Experience in developing RESTful or GraphQL services
• Proficient in a broad range of software design approaches and design patterns  
• Skilled in relational and NoSQL databases (Postgres / MongoDB)
• Knowledge of TDD and unit testing processes
• Experience working in an AWS environment is an added advantage

About the company

The company delivers the power of technology and intelligence to investors and companies and enables growth and value creation in the private unlisted markets. We make it easier for investors to know everything about a company, and a company to know everything about an investor. Our intelligence is used by more than 400+ customers across Venture Capital, Private Equity, Investment Bankers, and Corporates. Our intelligence covers the entire universe of Indian private companies and investors. We are gearing to power growth and transactions in private markets in India and around the world. We want our solutions to be reliable, timely and trustworthy to make investment and business decisions.

Founded in 2015 by IIT Madras Alumni Mr. Krishna Saraswati and Mr. Avinash Loganathan, as a fintech startup we have 3 products in the market. 1. PrivateCircle Research: Private Market Intelligence product. 2. PrivateCircle Connect: Intelligent Prospecting tool for Sales teams. 3. PrivateCircle Markets: Investment opportunities discovery platform.

About the role

We are looking for a Senior backend engineer with 4+ years of experience building large scale web applications. A highly skilled Python Developer with advanced coding abilities in Python.

Responsibilities:

• Design, Develop and maintain products using bleeding-edge technologies on Python
• Collaborating with the rest of the engineering team to design and deploy the code to test/production and implement new features.
• Debug, validate, review and test new and existing code.
• Act as a mentor to junior developers, providing guidance and support on technical issues.
• Write clean, efficient and well documented code
• As a Senior, you are required to regularly interact with their peers, managers and PMs (product/program managers).

Requirements:

• Advanced knowledge of Python (4+ years) with strong OOPs fundamentals.
• Version Control using git.
• Experience with web frameworks and MVC/ MVT architecture.
• Experience with Django framework and its ORM.
• Experience with REST API's and microservices architecture.
• In-depth knowledge of relational databases (e.g. MySQL, PostgreSQL) and NoSQL databases (e.g. MongoDB).
• Knowledge of distributed systems is a plus.
• Experience with Elasticsearch is a plus.
• Experience with Docker, Kubernetes or any other container technologies is a plus.
• Experience with Celery or other asynchronous task queues.
• Experience using system monitoring tools, automated testing frameworks and implementing server-side security.

We offer a dynamic and fast-paced work environment with ample opportunities for growth and advancement. If you're a highly motivated individual with a passion for coding and a desire to work with cutting-edge technologies, please apply today!

Dear Candidate,

Greeting from NAM Info Pvt Ltd.

We have a role for Camstar (Siemens Opcenter) position with NAM Info.

This role will be permanent with NAM info and deploy to client location BANGALORE~PUNE~HYDERABAD.

Work Mode: WORK FROM OFFICE

Notice Period: Immediate to 15 days Max

A decent hike can be provided based on current CTC

Role Descriptions:

Exp Range: 2 – 4 years

Key Responsibilities*

Forgerock Identity Management Role Descriptions: Strong hands-on experience with Ignition SCADA (Vision andor Perspective) Proficiency in Python scripting (Jython) Experience with SQL and relational databases Knowledge of industrial communication protocols (OPC UA| Modbus| EthernetIP) Understanding of SCADA| HMI| MES concepts Experience integrating with PLCs and industrial devices

Essential Skills: Camstar siemens

Desire candidate

• Candidate should have valid PF.

🚀 𝐖𝐞’𝐫𝐞 𝐇𝐢𝐫𝐢𝐧𝐠 – 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 | 𝐈𝐧𝐝𝐨𝐫𝐞

We are looking for Software Developers with 0–3 years of experience for our Indore location.

📌 𝐍𝐮𝐦𝐛𝐞𝐫 𝐨𝐟 𝐏𝐨𝐬𝐢𝐭𝐢𝐨𝐧𝐬

10+ Openings

💻 𝐒𝐤𝐢𝐥𝐥𝐬 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝

Experience in 𝐚𝐧𝐲 𝐩𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐥𝐚𝐧𝐠𝐮𝐚𝐠𝐞, such as:

Java

Python

.NET / C#

JavaScript

C++

C

PHP

Go

Ruby

Or any other programming language

📍 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Indore

⚡ 𝐏𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞: Immediate joiners are preferred.

⚠️ 𝐆𝐫𝐚𝐝𝐮𝐚𝐭𝐢𝐨𝐧: 2022 𝐛𝐚𝐭𝐜𝐡 𝐚𝐧𝐝 𝐥𝐚𝐭𝐞𝐫 𝐚𝐫𝐞 𝐧𝐨𝐭 𝐞𝐥𝐢𝐠𝐢𝐛𝐥𝐞 𝐭𝐨 𝐚𝐩𝐩𝐥𝐲.

📝 𝐈𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐞𝐝 𝐜𝐚𝐧𝐝𝐢𝐝𝐚𝐭𝐞𝐬, please apply through the form below:

🚀 WE’RE HIRING | AI/ML GENERATIVE AI ENGINEER

📍 Location: Remote

💼 Experience: 5+ Years

🔄 Position: Contract – Extendable

🔹 ROLE HIGHLIGHTS

➤ Build and deploy AI/ML amp; Generative AI solutions

➤ Develop LLM, RAG, NLP, Recommendation amp; Predictive solutions

➤ Work on AI Agents, Chatbots, Computer Vision amp; Content Intelligence

➤ Build ML models using PyTorch, TensorFlow, Keras amp; Scikit-learn

➤ Develop RAG solutions using LangChain, LlamaIndex, FAISS/Milvus

➤ Integrate OpenAI, Azure OpenAI, AWS Bedrock, Vertex AI amp; Hugging Face

➤ Build scalable AI APIs using Python, FastAPI/Flask/Django

➤ Contribute to Private AI amp; Smart Agentic Systems

⚙️ MUST-HAVE SKILLS

◆ Python – 3+ years

◆ AI/ML – 5+ years

◆ Generative AI – 2+ years

◆ LLMs, RAG, Embeddings , Transformers

◆ ML/DL, NLP amp; Predictive Analytics

◆ Cloud AI Platforms – Azure / AWS / GCP

◆ AI/ML Deployment | MLOps

Interview Process - F2F Round at Pune Location

Key Skills:

• Agentic AI / AI Agents

• Python or Java

• LLMs & Generative AI

• RAG & Vector Databases

• LangChain / LangGraph / AutoGen / CrewAI

• REST APIs & Microservices

• Prompt Engineering

• AI Workflow Automation

Roles & Responsibilities:

• Design and develop AI agents and agentic workflows

• Build scalable backend services using Python or Java

• Integrate LLMs, APIs, tools, and external systems into AI workflows

• Develop RAG-based solutions and intelligent automation

• Design multi-step AI workflows with tool/function calling

• Evaluate, monitor, and optimize AI agent performance

• Collaborate with engineering and product teams to deliver production-ready AI solutions

Data Engineer - Remote

Nearshore engineer on a team converting SAS code to Python and SQL on Databricks using generative AI. You will work with the existing accelerators, own deliverables end to end, and communicate directly with client and partner stakeholders.

Required for both:

4+ years of professional data or software engineering experience

Strong Python and SQL

Hands-on Databricks (Unity Catalog, Workflows, Databricks Asset Bundles)

GitLab CI/CD: pipelines, merge request workflows, automated testing

Git branching and code review discipline

Clear written and spoken English with client-facing partners

Demonstrated ownership: scoping, delivering, and flagging risk without prompting

Focus: Pipeline reliability, validation, and delivery of converted code.

Responsibilities:

Build and run the pipelines that process SAS inventories and converted outputs

Validate converted code for parity against SAS outputs (row counts, checksums, schema, data types)

Own deployment through DABs and GitLab CI/CD

Manage Unity Catalog objects, permissions, and environment promotion

Troubleshoot job failures and performance issues

Required:

Spark and Delta Lake performance tuning

Data validation and reconciliation experience

Infrastructure as code or DAB-based deployment experience

Nice to have:

SAS reading ability, healthcare data exposure, Azure.

Key Responsibilities

• Design, develop, and maintain scalable applications using Python.
• Build and integrate AI-powered solutions into existing applications.
• Develop REST APIs and backend services.
• Work with AI/ML models, LLMs, and Generative AI technologies where applicable.
• Integrate AI services and APIs into business applications.
• Write clean, maintainable, and efficient code.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Troubleshoot issues and optimize application performance.

Must-Have Skills

• Strong hands-on experience in Python development.
• Good understanding of Python frameworks such as FastAPI, Flask, or Django.
• Experience in REST API development and backend services.
• Knowledge or experience in AI/ML concepts.
• Understanding of application development, debugging, and problem-solving.
• Good understanding of databases and data handling.

Good-to-Have Skills

• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Experience with AI APIs and frameworks such as LangChain or LlamaIndex.
• Knowledge of Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with Docker, Kubernetes, or CI/CD pipelines.

About Us:

Datum builds market intelligence solutions for the retail industry. We transform public and proprietary data into actionable insights that help retail brands decide where to expand, compete, and grow. We are a small, fast-moving team that works closely with customers and

believes in shipping impactful products quickly.

About the Role

We're looking for a Full Stack Platform Engineer to build and own our end-to-end product ecosystem, including:

● Data acquisition through scalable web scraping and ETL pipelines

● Customer-facing analytics platform

● Geospatial analysis engine powering retail insights

You'll work across frontend, backend, data engineering, cloud infrastructure, and geospatial systems while collaborating directly with the founder and customers.

Key Responsibilities

● Build scalable web scrapers and ETL pipelines

● Develop customer-facing features using React/Next.js

● Design REST & WebSocket APIs

● Work with PostgreSQL/PostGIS and geospatial data

● Own deployment, CI/CD, monitoring, and cloud infrastructure

● Translate customer feedback into product features

Must-Have Skills

● 3–6 years of Full Stack development experience

● Python (FastAPI/Django)

● React or Next.js with JavaScript/TypeScript

● Web scraping using Scrapy, Playwright, Selenium, or BeautifulSoup

● PostgreSQL (PostGIS preferred)

● REST APIs, JWT/OAuth

● Docker, Git, AWS/GCP/Azure

● Understanding of proxy rotation and anti-bot techniques

Good to Have

● Mapbox, Leaflet, or Google Maps Platform

● Airflow, Redis, Kafka, or SQS

● Experience with large-scale scraping (Google Maps, Zomato, Justdial, etc.)

● Geospatial analytics or retail domain experience

● Startup experience with end-to-end ownership

1st virtual , 2nd round F2F

Python pyspark, SQL, data engineer

5+yrs

9+yrs

Bangalore/Hyderabad

immediate to 15days.

Job Description – Azure Data Engineer

Role: Azure Data Engineer

Experience: 9+ Years

Location: Bangalore / Hyderabad

Notice Period: Immediate to 15 Days

Interview Process: 1st Round – Virtual | 2nd Round – F2F

Mandatory Skills

• Python
• PySpark
• SQL
• Azure Data Engineering

Job Description

We are looking for an experienced Azure Data Engineer with 9+ years of experience and strong hands-on expertise in Python, PySpark, SQL, and Azure Data Engineering.

Key Responsibilities

• Develop and maintain scalable data engineering solutions using Azure.
• Build and optimize data processing pipelines using PySpark and Python.
• Write complex SQL queries for data extraction and transformation.
• Work with Azure data services and cloud-based data platforms.
• Perform data processing, transformation, and integration.
• Troubleshoot data pipeline and production issues.
• Collaborate with technical and business teams to deliver data solutions.

Preferred: Immediate to 15 Days joiners.

Urgent Hiring – Senior Data Engineer

We are hiring for a Senior Data Engineer for a reputed product-based company in Pune.

Location: Pune – Magarpatta / Baner

Experience: 7–10 Years

Work Mode: 5 Days WFO

Notice Period: Immediate to 30 Days preferred

What We're Looking For

• 7+ years of hands-on experience in Data Engineering
• 5+ years of experience in Python
• 4+ years of experience in Snowflake
• 5+ years of experience in SQL
• 5+ years of experience with ADF / Fivetran / Matillion or equivalent Data Integration tools
• Hands-on experience with AWS / Azure
• Experience with Airflow or equivalent orchestration tools
• Strong experience in ETL/ELT and Data Pipelines
• Experience with APIs, JSON, XML and Webhooks
• Knowledge of CI/CD, Git and automated testing
• Exposure to dbt or similar transformation tools
• Experience in data pipeline monitoring, troubleshooting and performance optimization

Key Responsibilities

• Design, develop and maintain scalable ETL/ELT data pipelines
• Build batch, real-time and on-demand data processing workflows
• Integrate data from cloud and on-premise sources
• Ensure data quality, reliability, performance and SLA adherence
• Work closely with Data Scientists, Analysts, DevOps and Business teams
• Implement data engineering best practices, CI/CD and automated testing
• Troubleshoot pipeline issues and perform root cause analysis
• Optimize data pipelines and SQL queries for performance and cost efficiency

Why Join?

• Opportunity to work with a reputed product-based organization
• Work on modern data engineering and cloud technologies
• Exposure to large-scale data platforms and business-critical data solutions
• Collaborative and technically strong environment

Interested candidates can share their updated CV for immediate consideration.

• Bachelor’s degree in computer science, Data Science, Information Systems, or a related field  
• 8-10 years of experience in DevOps, MLOps, Data Engineering, Software Engineering or Site Reliability Engineering  
• Strong understanding of cloud infrastructure and experience working with at least one major cloud provider, preferably Azure  
• Proficiency in at least one objected-oriented programming language, preferably python with hands-on experience in ml frameworks like TensorFlow, PyTorch or Scikit-learn  

Proficient

Python Backend Development

Python, REST APIs, Microservices, FastAPI, Flask, Django, API Design, Authentication, Error Handling

Design, implement, and maintain scalable backend systems using Python frameworks. Build robust REST APIs, ensure secure authentication, and handle errors gracefully. Demonstrate expertise in microservices architecture and API design.

35

Proficient

React JS

React JS, Components, Hooks, State Management, API Integration, Responsive UI, Frontend Testing

Develop responsive and interactive user interfaces using React JS. Effectively use components, hooks, and state management. Integrate APIs and ensure frontend code is well-tested and maintainable.

30

Proficient

Gen AI / Agentic AI

LLMs, Agentic AI, LangChain, LangGraph, Google ADK, Semantic Kernel, Prompt Engineering, Tool Calling, RAG, Embeddings, Vector Search, Memory, Planning, Reasoning, Multi-Agent Systems, Guardrails, Azure OpenAI, Vertex AI, AWS Bedrock

Demonstrate hands-on experience with LLMs and agentic AI frameworks. Build, integrate, and optimize AI agents using modern tools and platforms. Show proficiency in prompt engineering, tool calling, RAG, embeddings, and multi-agent systems.

30

Advanced

Cloud & Deployment

AWS, Azure, GCP, Cloud Deployment, Containers, CI/CD, Application Hosting, Monitoring

Deploy applications to cloud platforms, manage containers, set up CI/CD pipelines, and monitor application health. Demonstrate familiarity with at least one major cloud provider.

• Python Scripting: Proficient in writing clean, efficient scripts using Python for automation and problem-solving.

• Web Frameworks: Skilled in Django/Flask/FastAPI for backend and REST API development, with frontend knowledge (React/Angular/Vue).

• Testing: Experienced in unit and integration testing with pytest and ensuring code quality using linting tools.

• Data Analytics: Capable of processing and analysing data using Pandas, NumPy, and visualization libraries like Matplotlib.

• Version Control: Proficient in using Git for source code management and collaboration through branching and merge strategies.

• Databases: Strong in SQL and NoSQL database design, query optimization, and management.

• Tools: Familiarity with additional build tools and CI/CD systems (e.g., Jenkins, GitLab CI/CD).

• Cloud technologies: Familiarity with AWS/Azure or GCP.

• Problem-Solving: Excellent analytical and problem-solving skills related to build systems and processes.

• Communication: Strong verbal and written communication abilities.

• Desired : Good Knowledge in the AI tools & amp; Worked in the Area of AI for 6 years

We are looking for a Data Science & Machine Learning Senior Associate with 3–5 years of relevant experience in data science, machine learning, and analytics. The candidate will be responsible for developing predictive models, analyzing complex datasets, building scalable ML solutions, and supporting production-grade data science applications on cloud platforms.

• Develop and implement machine learning and predictive analytics models.
• Perform data analysis, statistical modeling, and optimization to solve business problems.
• Build demand forecasting and predictive models using time-series and other advanced techniques.
• Work with large datasets using Python, SQL, PySpark, and cloud-based data platforms.
• Develop and maintain scalable data pipelines for ML model development and deployment.
• Implement MLOps practices including model deployment, monitoring, retraining, and data-drift detection.
• Collaborate with software engineers, product teams, and business stakeholders to convert business requirements into analytical solutions.
• Validate models for accuracy, robustness, bias, and production readiness.
• Create meaningful visualizations and communicate analytical insights to technical and non-technical stakeholders.

• Python
• SQL
• Data Science & Machine Learning
• Predictive Modeling
• Statistical Analysis
• Machine Learning Algorithms
• Optimization Techniques
• Google Cloud Platform (GCP)
• BigQuery
• Dataflow
• Dataproc
• Data Fusion
• Cloud SQL
• Airflow
• PySpark
• PostgreSQL
• Terraform
• Tekton
• APIs
• MLOps

• Java

• Demand Forecasting
• Time-Series Analysis
• Neural Networks
• Ensemble Methods
• Support Vector Machines (SVM)
• Regression and Cluster Analysis
• ML Model Testing
• Bias Detection and Data Drift Monitoring
• Production ML Deployment
• QlikSense
• Automotive or Supply Chain Analytics

Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related technical field.Master's degree in a relevant quantitative or technical field is preferred.

Job Summary

We are looking for an experienced AI/ML Engineer to design, develop, deploy, and maintain machine learning and AI solutions that address complex business problems. The ideal candidate should have strong hands-on experience in Python, Machine Learning, Generative AI, LLMs, and AI/ML deployment, with the ability to work across the complete AI/ML lifecycle.

Key Responsibilities

• Design, develop, and deploy scalable Machine Learning and AI models for real-world business use cases.
• Build and optimize ML pipelines covering data preparation, feature engineering, model development, evaluation, and deployment.
• Develop solutions using Generative AI, Large Language Models (LLMs), NLP, and deep learning.
• Work with LLMs, prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) architectures.
• Integrate AI/ML models with enterprise applications and APIs.
• Fine-tune and evaluate ML/LLM models based on business requirements.
• Implement MLOps practices for model versioning, deployment, monitoring, and continuous improvement.
• Collaborate with Data Scientists, Software Engineers, Architects, Product Managers, and business stakeholders.
• Conduct model performance evaluation, optimization, and troubleshooting.
• Ensure AI solutions meet requirements around security, scalability, reliability, responsible AI, and data privacy.
• Stay current with emerging AI/ML technologies, frameworks, and industry best practices.

Required Skills

• Strong programming experience in Python.
• Strong understanding of Machine Learning algorithms, statistics, and data structures.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent.
• Experience with Generative AI and LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, or open-source models.
• Strong knowledge of Prompt Engineering, RAG, embeddings, vector databases, and AI agents.
• Experience with NLP, deep learning, or computer vision is an advantage.
• Experience developing and consuming REST APIs and microservices.
• Working knowledge of SQL and NoSQL databases.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Understanding of Docker, Kubernetes, CI/CD, and MLOps.
• Familiarity with Git and modern software development practices.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• 4 years of relevant experience in AI/ML engineering or a related field.
• Experience building and deploying production-grade AI/ML solutions.
• Enterprise application development experience.
• Experience with Azure OpenAI, AWS Bedrock, Vertex AI, or similar managed AI platforms.
• Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks is a plus.
• Experience with AI/ML model monitoring, evaluation, and optimization.

What You Bring

• Strong problem-solving and analytical skills.
• Ability to translate business requirements into practical AI/ML solutions.
• Strong software engineering and debugging capabilities.
• Ability to work independently as well as collaboratively in a cross-functional environment.
• Good communication skills with the ability to explain complex AI concepts to technical and non-technical stakeholders.

Keywords

AI Engineer | ML Engineer | Machine Learning | Generative AI | LLM | Python | NLP | Deep Learning | RAG | Prompt Engineering | AI Agents | Azure OpenAI | AWS Bedrock | MLOps | TensorFlow | PyTorch | Scikit-learn | Vector Database | Cloud AI

Location: Gurugram

Work mode: Hybrid

Location: Bangalore Experience: 5 to 7 years Employment type: Full-time, permanent Work Hours: General Shift (10.00 AM to 7.00 PM) website: www.amazech.com Qualifications: Minimum B.E./B.Tech, or higher in Computer Science, Information Technology, Data Engineering, or a related field, with a good academic background. Key Responsibilities: • Design, develop, and maintain end-to-end data pipelines. • Build and optimize ETL/ELT processes for large-scale data processing. • Implement Azure-based data solutions ensuring scalability and performance. • Collaborate with stakeholders to understand business data requirements. • Perform performance tuning and optimization across data platforms. • Support production environments, conduct root cause analysis, and resolve data-related issues. • Maintain comprehensive technical documentation and structured knowledge transfer documents. • Work effectively within Agile/Scrum frameworks and contribute to sprint planning and delivery. • Ensure secure and compliant data handling using Azure best practices. Required Skills & Experience • End-to-end ETL/ELT pipeline development, integration, and performance optimization • Azure Synapse, Azure Logic Apps, Azure SQL, and Azure Databricks, with a strong focus on performance tuning • Microsoft Azure services, including Storage Accounts, Key Vault, and Cognitive Services • Advanced proficiency in Python development and modern productivity tools such as GitHub Copilot and Cursor • Strong documentation discipline, including technical design documentation, and structured knowledge transfer documents • Experience operating within Agile/Scrum frameworks, including production support, root cause analysis, and effective stakeholder collaboration

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.

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:

•           Automation-first mindset

•           Software development and integration expertise

•           Problem-solving and troubleshooting skills

•           Strong analytical and critical-thinking abilities

•           Excellent communication and stakeholder management skills

•           Team collaboration and leadership capabilities

•           Continuous improvement orientation

•           Documentation and knowledge-sharing skills

Success Measures:

The successful candidate will be measured on:

•           Reduction in manual migration effort through automation.

•           Increased automation coverage across migration activities.

•           Successful integration of AI MQ Automation with existing migration tools.

•           Creation of a scalable migration framework supporting future migration programs.

•           Improved migration quality, consistency, and execution speed.

•           Reduced migration risks and operational issues through automation-driven processes.

match ths profile and rate me out of 10

1st virtual , 2nd round F2F

Python pyspark, SQL, data engineer

5+yrs

Bang/hyderabad

immediate to 15days.

Job Description: AI Engineer – GenAI Platform Automation

Experience: 10+ Years

Location: Remote – Pan India

Employment Type: Haparz Payroll

Work Mode: Remote

Notice Period: Immediate / Short Notice Preferred

About the Role

We are looking for a senior AI Engineer – GenAI Platform Automation to lead automation initiatives across enterprise Generative AI, Data Science, Data Engineering, and Analytics platforms.

The role focuses on building scalable, secure, and self-service automation capabilities across infrastructure provisioning, CI/CD, cloud environments, AI workload deployment, governance, observability, and operational excellence. The ideal candidate will have strong hands-on experience in platform engineering, cloud automation, DevOps, Infrastructure-as-Code, Python, and enterprise GenAI ecosystems.

Key Responsibilities

• Lead end-to-end automation initiatives for enterprise GenAI, Data Science, Data Engineering, Metadata, Data Quality, Event Streaming, and Analytics platforms.
• Design self-service automation for infrastructure provisioning, environment onboarding, deployment, governance, monitoring, and operational workflows.
• Build automation capabilities supporting the AI lifecycle, including experimentation, model training, deployment, inference, observability, and lifecycle management.
• Develop scalable Infrastructure-as-Code solutions using Terraform and cloud-native automation frameworks.
• Design and maintain enterprise CI/CD pipelines, automated testing, deployment, and release processes using modern DevOps toolchains.
• Automate Kubernetes, containers, serverless, and distributed computing environments in collaboration with cloud and platform engineering teams.
• Develop automation solutions for GenAI and Agentic AI applications, including MCP-enabled services, API integrations, workflow automation, and event-driven architectures.
• Implement observability, monitoring, logging, tracing, alerting, automated remediation, and reliability engineering practices.
• Work with architecture, security, governance, engineering, and business teams to ensure enterprise standards and compliance requirements are met.
• Conduct technical design reviews, automation assessments, code reviews, and establish engineering best practices.
• Provide technical leadership and mentorship to engineering teams adopting automation-first and platform engineering practices.

What We’re Looking For

• 10+ years of hands-on experience in platform engineering, automation engineering, cloud engineering, DevOps, or distributed systems.
• Strong experience building enterprise self-service platforms supporting AI/ML, Data Science, Data Engineering, or Advanced Analytics workloads.
• Strong expertise in automation frameworks, CI/CD, DevOps, Infrastructure-as-Code, and software delivery lifecycle automation.
• Hands-on experience with Terraform and cloud-native infrastructure automation.
• Strong experience with Python for automation, orchestration, scripting, tooling, and platform engineering.
• Experience with Bitbucket, Bamboo, Jira, Confluence, or similar enterprise DevOps toolchains.
• Experience working with Kubernetes, containers, serverless platforms, YARN, and distributed processing environments.
• Knowledge of Generative AI and Agentic AI architectures, MCP frameworks, APIs, workflow automation, and enterprise AI platforms.
• Experience with event-driven architectures and technologies such as Kafka and streaming platforms.
• Strong understanding of cloud engineering, networking, security, scalability, resilience, and cost optimization.
• Experience implementing observability solutions covering monitoring, logging, tracing, alerting, and operational dashboards.
• Understanding of metadata management, data lineage, data governance, and semantic-layer concepts is highly valuable.

Good to Have

• Experience supporting enterprise GenAI platforms, AI governance, model management, and AI operationalization.
• Experience with GitOps, DevSecOps, Platform Engineering, and Reliability Engineering practices.
• Exposure to data governance, data quality, metadata management, and model lifecycle automation.
• Experience creating reusable internal developer platforms and self-service engineering tools at enterprise scale.
• Banking, AML, fraud detection, financial crime, or risk analytics domain experience is an advantage.

Job Title : DevOps Engineer

Experience : 7+ Years

Working Hours : 3:30 AM – 11:30 AM ET

Duration : 12–18 Months

Engagement : Contract

Freelance : Not Applicable

BGV : Required

Role Overview :

We are looking for an experienced DevOps Engineer to design, implement, and optimize DevOps practices, CI/CD pipelines, deployment automation, and cloud-native delivery platforms. The role will focus on enabling secure, reliable, and efficient software delivery while improving infrastructure automation, release processes, platform reliability, and operational resilience.

Mandatory Skills :

DevOps, CI/CD, Azure DevOps / GitHub Actions, Kubernetes, Docker, PowerShell / Python / Bash, Automation, Monitoring & Observability, DevSecOps, IaC, Troubleshooting, and Production Support.

Key Responsibilities :

• Design, build, and maintain CI/CD pipelines for enterprise application delivery and release management.
• Develop deployment automation frameworks to improve release quality, consistency, scalability, and efficiency.
• Administer Kubernetes and containerized environments and supporting orchestration platforms.
• Improve build, test, deployment, and release workflows for development teams.
• Integrate automated testing, security scanning, validation, and compliance controls into CI/CD pipelines.
• Implement monitoring, logging, alerting, and observability solutions for platform and application environments.
• Troubleshoot deployment failures, production issues, and platform incidents; perform root cause analysis.
• Develop automation scripts and tools using PowerShell, Python, Bash, or similar technologies.
• Implement Infrastructure as Code and automation practices to reduce manual effort and operational risk.
• Collaborate with Cloud, Infrastructure, Security, and Application teams to deliver scalable and resilient solutions.
• Maintain deployment standards, release procedures, technical documentation, and operational runbooks.
• Apply DevOps, DevSecOps, and SRE best practices to improve delivery speed and platform reliability.
• Evaluate emerging DevOps technologies and recommend improvements.
• Mentor team members on DevOps methodologies, automation, and platform engineering practices.
• Act as an escalation point for critical deployment, infrastructure, and platform issues.

Required Technical Skills :

1. DevOps & CI/CD :

• 7+ years of experience in DevOps, Platform Engineering, Infrastructure Engineering, or Software Engineering.
• Strong experience designing and supporting CI/CD pipelines and release management.
• Hands-on experience with Azure DevOps, GitHub, GitHub Actions, or equivalent platforms.
• Strong understanding of Git, branching strategies, release management, and deployment methodologies.

2. Containers & Cloud :

• Strong hands-on experience with Kubernetes and Docker/containerization.
• Understanding of cloud-native application architectures and distributed systems.
• Experience supporting production-grade containerized environments.

3. Automation & IaC :

• Strong proficiency in PowerShell, Python, Bash, or similar scripting languages.
• Experience developing automation frameworks and deployment tooling.
• Knowledge of Infrastructure as Code (IaC) concepts.
• Experience with Terraform, Bicep, or similar tools is preferred.

4. Monitoring & Reliability :

• Experience with monitoring, logging, observability, and alerting.
• Strong troubleshooting and root cause analysis skills.
• Experience supporting highly available and resilient production systems.
• Knowledge of SRE practices is preferred.

5. Security & DevSecOps :

• Understanding of DevSecOps and secure software delivery practices.
• Experience integrating vulnerability scanning, security controls, and compliance checks into CI/CD pipelines.
• Knowledge of IAM, secrets management, and access control within DevOps environments.

Preferred Qualifications :

• Hands-on experience with Microsoft Azure.
• Experience with Terraform/Bicep or other IaC tools.
• Knowledge of SRE and platform engineering practices.
• Relevant Azure, Kubernetes, Cloud, or DevOps certifications.

Role Overview

We are looking for a Python Developer with strong experience in Generative AI and LLM-based applications. The candidate should have hands-on experience building AI solutions using Python, RAG, LangChain/LangGraph, and related GenAI technologies.

Mandatory Skills

Python, GenAI/LLM, RAG, LangChain/LangGraph, Agentic AI, FastAPI, REST API, Vector Database, Prompt Engineering, Microservices

Key Responsibilities

• Develop and maintain applications using Python and modern frameworks.
• Build GenAI/LLM-based applications and solutions.
• Develop RAG pipelines using vector databases.
• Work with LangChain/LangGraph for LLM and agent-based applications.
• Develop and integrate REST APIs using FastAPI.
• Implement Agentic AI workflows and AI-powered features.
• Integrate LLMs with existing applications and microservices.
• Apply prompt engineering techniques to improve AI application performance.

Greetings!

Hiring For Large Product Based Company!

Role- Mlops Engineer

Experience- 8-12 years

Location- Pune, Nagpur

JD-

• 8-10 years of experience in DevOps, MLOps, Data Engineering, Software Engineering or Site Reliability Engineering  
• Strong understanding of cloud infrastructure and experience working with at least one major cloud provider, preferably Azure  

Proficiency in at least one objected-oriented programming language, preferably python with hands-on experience in ml frameworks like TensorFlow, PyTorch or Scikit-learn  

Python Full Stack GenAI Engineer

Experience: 5+ Years

Location: Bangalore / Hyderabad

Role Overview:

We are looking for a Python Full Stack GenAI Engineer with strong hands-on experience in Python development and Generative AI solutions.

Must-Have Skills:

• Python – Strong hands-on experience
• Generative AI / GenAI
• LLMs & Prompt Engineering
• LangChain / LangGraph
• RAG & Vector Databases
• REST APIs / FastAPI
• React.js / Frontend development
• SQL
• AI Agent / Agentic AI experience is a plus

Responsibilities:

• Develop scalable Python-based applications with GenAI capabilities
• Build LLM, RAG and AI Agent solutions
• Develop REST APIs using FastAPI
• Integrate AI services with full-stack applications
• Work with frontend technologies such as React.js
• Design and optimize production-ready GenAI solutions

Interested candidates can apply with their updated resume.

🚨 Hiring – Data Scientist | Python + Agentic AI

💼 Experience: 5+ Years

Must Have:

• Strong Data Science experience

• Python

• Agentic AI / AI Agents

• Generative AI / LLMs

• RAG / Vector Databases

• LangChain / LangGraph or similar Agent Frameworks

• Machine Learning & NLP

Strong Backend Software Engineer Profile with strong Core Java expertise

2

Mandatory (Experience 1): Must have 2+ years of hands-on backend software engineering experience.

3

Mandatory (Experience 2): Must be able to design and implement moderately complex features with minimal supervision, and contribute to system design and architecture discussions.

4

Mandatory (Experience 3): Must be comfortable owning business-critical production components — maintaining connectors, handling customer escalations, security fixes, bug fixes, and building new features end-to-end.

5

Mandatory (Tech skill 1): Must have strong, current Core Java depth with solid, clear coding fundamentals — Java is the primary skill for this role. Deep hands-on core engineering strength matters more than framework knowledge.

6

Mandatory (Tech skill 2): Must have strong core backend engineering fundamentals and experience with scalable systems (connectors handle millions of events/data points daily across customers).

7

Mandatory (Tech skill 3): Must have microservices experience.

8

Mandatory (AI Fluency): Must have demonstrated, hands-on use of AI coding assistants (Claude, GitHub Copilot, Cursor, etc.) as a core part of the daily workflow — scaffolding, writing tests, reviewing code, and debugging — with the ability to write precise, effective prompts for production-quality output, decompose tasks so AI assistance is effective, and critically evaluate AI-generated code for correctness, security, and standards before merging.

9

Mandatory (AI-Native): Must have actually built and deployed AI/LLM-powered features in production (e.g. RAG, LLM-based scoring, AI assistant) — demonstrable AI-native engineering, not merely using AI tools to write code.

10

Mandatory (Database): Hands-on database / JDBC integration experience in a production environment.

11

Mandatory (Company): Must come from a product company background (B2B SaaS or B2C both acceptable).

12

Mandatory (Note1): This is a 3-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

13

Mandatory (Note 2): Must be based in or near Chennai, Bangalore, or Ahmedabad (Chennai: hybrid, Tue & Thu in office)

14

Preferred (Backend): Hands-on Python experience is a plus.

Devops + Python 

Mandatory: Python+Kubernetes Containerisation+ DevOps Exposure+ Cloud Exposure(any)

4-8 years /16 LPA

10+ years /26 LPA

Bangalore/Hyderabad

immediate to 15 days.

Job Description – DevOps + Python

Job Title: DevOps + Python Developer

Experience: 4–10 Years

Location: Bangalore / Hyderabad

Notice Period: Immediate to 15 Days

Mandatory Skills

• Python
• Kubernetes
• Containerization
• DevOps
• Cloud Exposure – Any Cloud platform (AWS / Azure / GCP)

Job Description

We are looking for experienced DevOps + Python professionals with strong hands-on experience in Python development and DevOps practices.

The candidate should have practical experience with Kubernetes and containerization, along with exposure to cloud platforms and DevOps processes.

Key Responsibilities

• Develop and maintain applications/scripts using Python.
• Work with Kubernetes and containerized environments.
• Support DevOps processes and automation.
• Work with cloud platforms and cloud-based environments.
• Collaborate with development and infrastructure teams.
• Troubleshoot and resolve deployment and environment-related issues.