Generative AI Engineer

Polestar Analytics; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Polestar Analytics is seeking an AI Engineer with 3–8 years of experience to design, develop, and deploy enterprise-grade AI solutions powered by Large Language Models. The role focuses on generative and agentic AI, RAG, multi-agent architectures, and AI orchestration frameworks across enterprise platforms.

You will build intelligent assistants, copilots, and autonomous workflows, integrating with CRMs, ERPs, and data warehouses while applying prompt engineering and governance practices to

Qualifications

• 3–8 years of experience in AI/ML or software engineering with focus on Generative AI.
• Hands-on experience with LLMs and foundation models.
• Experience building RAG systems using vector databases and knowledge repositories.
• Experience designing conversational AI applications and autonomous workflows.
• Proficiency in Python, FastAPI, REST APIs, and asynchronous programming.

Responsibilities

• Design, develop, and deploy enterprise-grade AI apps powered by LLMs and foundation models.
• Build RAG solutions leveraging vector databases and enterprise repositories.
• Develop conversational AI assistants and enterprise copilots for workflows.
• Implement prompt engineering techniques including CoT, ReAct, and multi-step reasoning.
• Develop multi-agent AI systems with autonomous planning and execution.
• Create agent orchestration frameworks integrating enterprise apps and APIs.

Skills

Python

FastAPI

REST APIs

Asynchronous programming

Multi-agent systems

Education

Bachelor's or Master's degree in Computer Science/AI/Data Science

Tools

LangGraph

LangChain

CrewAI

AutoGen

Semantic Kernel

Pydantic AI

Vector Databases

Knowledge Graphs

Job description

Job Title: AI Engineer – Generative AI & Agentic Systems

Employment Type: Full-time

Experience: 3–8 Years

Industry Focus: IT Services, Artificial Intelligence & Analytics

Position Summary

We are looking for a highly skilled AI Engineer – Generative AI & Agentic Systems with 3–8 years of experience in designing, developing, and deploying enterprise-grade AI solutions powered by Large Language Models (LLMs). The ideal candidate will have hands‑on expertise in Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), multi‑agent architectures, and AI orchestration frameworks. This role involves building intelligent AI assistants, enterprise copilots, autonomous workflows, and scalable AI platforms that drive business innovation and operational efficiency.

Strategic Responsibilities

• Design, develop, and deploy enterprise‑grade applications powered by Large Language Models (LLMs) and foundation models.
• Build Retrieval‑Augmented Generation (RAG) solutions leveraging vector databases, enterprise knowledge repositories, and GraphRAG architectures.
• Develop conversational AI assistants, enterprise copilots, intelligent chatbots, and workflow automation solutions.
• Implement advanced prompt engineering techniques including Chain of Thought (CoT), ReAct, Self‑Reflection, Multi‑Step Reasoning, and Tool Calling.
• Design and develop multi‑agent AI systems capable of autonomous planning, reasoning, task decomposition, and execution.
• Build agent orchestration frameworks integrating enterprise applications, APIs, and external services.
• Implement agent memory management, communication protocols, and human‑in‑the‑loop workflows.
• Develop scalable AI services, APIs, and reusable AI platform components for enterprise deployments.
• Integrate AI solutions with enterprise platforms including CRM, ERP, Supply Chain, Data Warehouses, and Knowledge Management systems.
• Design and implement AI governance, monitoring, observability, and evaluation frameworks.
• Evaluate AI applications for relevance, groundedness, hallucination, safety, accuracy, and overall performance.
• Build automated evaluation pipelines, testing frameworks, and continuous model validation processes.
• Optimize inference performance, latency, scalability, token utilization, and infrastructure costs.
• Collaborate with Product, Engineering, Data Science, and Business teams to deliver production‑ready AI solutions.
• Stay updated with emerging trends in Generative AI, Agentic AI, LLMs, and enterprise AI platforms.

Required Experience

• 3–8 years of experience in Artificial Intelligence, Machine Learning, or Software Engineering with a strong focus on Generative AI.
• Hands‑on experience building applications using Large Language Models (LLMs) and foundation models.
• Strong experience developing Retrieval‑Augmented Generation (RAG) systems using vector databases and enterprise knowledge repositories.
• Experience designing and deploying conversational AI applications, enterprise copilots, and intelligent assistants.
• Hands‑on experience implementing multi‑agent AI systems and autonomous workflows.
• Strong proficiency in Python, FastAPI, REST APIs, and asynchronous programming.
• Experience with AI orchestration frameworks and enterprise AI integrations.
• Strong understanding of prompt engineering, model evaluation, and production deployment best practices.
• Experience developing scalable AI APIs and enterprise‑grade AI applications.

Technical Skills

• Agentic AI Frameworks: LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Pydantic AI
• RAG & Knowledge Systems: Vector Databases, Knowledge Graphs, GraphRAG

Good to Have

• Experience building enterprise‑grade AI copilots and digital assistants.
• Experience deploying multi‑agent AI systems in production environments.
• Knowledge of AI governance, observability, monitoring, and responsible AI practices.
• Understanding of Model Context Protocol (MCP) and modern AI interoperability standards.
• Experience developing domain‑specific AI solutions for Retail, CPG, Banking, Telecom, Healthcare, or Manufacturing.
• Familiarity with MLOps, model lifecycle management, and cloud‑native AI deployments.

Educational Qualifications

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

Soft Skills

• Strong analytical and problem‑solving skills.
• Excellent communication and collaboration abilities.
• Ability to work effectively in cross‑functional and agile teams.
• Strong ownership mindset with a focus on delivering scalable AI solutions.
• Passion for innovation and continuous learning in emerging AI technologies.
• Ability to manage multiple priorities in a fast‑paced environment.
• Detail‑oriented with a strong focus on quality, performance, and business impact.

About Polestar

As a data analytics and enterprise planning powerhouse, Polestar Analytics helps its customers bring out the most sophisticated insights from their data in a value‑oriented manner. From analytics foundation to analytics innovation initiatives, we offer a comprehensive range of services that help businesses succeed with data.

We have a geographic presence in the United States (Dallas, Manhattan, New York, Delaware), UK(London) & India (Delhi‑NCR, Mumbai, Bangalore & Kolkata) and have 600+ people strong world‑class team. We are growing at a rapid pace and plan to double our growth each year. This provides immense growth and learning opportunities for those who are choosing to work with Polestar. We hire from most of the Premier Undergrad and MBA institutes. We are serving customers across 20+ countries. Our expertise and deep passion for what we do has brought us many accolades.

The list includes: -

• Recognized as the Top 50 Companies for Data Scientists in 2023 by AIM.
• Financial Times awarded Polestar as High‑Growth Companies across Asia‑Pacific for a 5th time in a row in 2023.
• Featured on the Economic Times India's Growth Champions in FY2023.
• Polestar Analytics Selected as a 2022 Red Herring Global Companies.
• Top Data Science Providers in India 2023: Penetration and Maturity (PeMa) Quadrant.
• India’s most promising data science companies in 2022 by Analytics Insight.
• Featured on Forrester's Now Tech: Customer Analytics Service Providers Report Q2, 2021.
• Recognized as Anaplan's India RSI Partner of the Year FY21.
• Elite Qlik Partner and a member of the ‘Qlik Partner Advisory Council’ & Microsoft Gold Partners for Data & Cloud Platforms Culture at Polestar.
• We have one of the most progressive people’s practices which are all aimed at enabling fast paced growth for those who deserve it.