AI Engineer – Generative & Agentic AI


Role Details


- Experience: 5–7 Years

- Location: Mumbai – Bandra Kurla Complex (BKC)

- Work Mode: Hybrid (3 days/week from office)

- Contract Duration: 12 Months (C2H)

- Budget: Up to 24 LPA

- Joining: Immediate Joiners Only

- Interview Process: In -person interview (mandatory - Final Round Only)

Role Overview


We are looking for a highly skilled AI Engineer with strong hands -on expertise in Generative AI and Agentic AI systems.

This role involves designing, building, and deploying production -grade AI solutions, taking ideas from prototype to scalable enterprise systems. The candidate will work on intelligent systems capable of reasoning, planning, tool usage, and multi -agent orchestration, beyond basic chatbot implementations.

Key Responsibilities


Generative & Agentic AI Development

- Design and build LLM -based systems using:

- Retrieval Augmented Generation (RAG)

- Embeddings and vector search

- Prompt engineering and optimization

- Function calling and tool integrations

- Agentic and multi -agent workflows

- Develop AI systems integrating LLMs with:

- REST APIs

- Enterprise applications

- Data platforms and workflows

- Apply LLM evaluation techniques to ensure quality, safety, and performance

End -to -End AI Engineering

- Own the full lifecycle of AI solutions from prototype to production

- Build, deploy, and manage AI workloads on AWS

- Ensure scalability, reliability, performance, and cost optimization

- Implement CI/CD pipelines, automated testing, and versioning for AI systems

Engineering Excellence & Operations

- Apply strong software engineering and distributed systems principles

- Implement observability practices (logs, metrics, traces, alerts)

- Monitor system performance, latency, and model behavior in production

- Contribute to responsible AI practices and governance standards

Collaboration & Enablement

- Work with AI engineers, data scientists, platform teams, and business stakeholders

- Contribute to reusable AI components and scalable architecture

- Support low -code / Copilot -style AI solutions where required

- Mentor junior engineers and share best practices

Mandatory Skills


Programming & Engineering


✔ Strong expertise in Python

✔ Experience with REST APIs

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

✔ Strong understanding of distributed systems fundamentals

Generative & Agentic AI


✔ Hands -on experience with:

- Generative AI / LLM -based systems

- Agentic and multi -agent workflows

- RAG (Retrieval Augmented Generation)

- Embeddings & vector databases

- Prompt engineering and optimization

- LLM evaluation techniques

Cloud & AI Platforms


✔ Experience with:

- AWS Bedrock

- Amazon SageMaker

Production & Operations


✔ Experience in:

- Observability (logs, metrics, tracing, alerts)

- Monitoring and performance tuning

- Production deployment of AI systems

Preferred Skills

- Experience supporting enterprise AI platforms

- Exposure to Copilot -style / workflow automation solutions

- Knowledge of Responsible AI and governance frameworks

- Experience working in cross -functional or client -facing environments

Soft Skills

- Robust problem -solving and analytical mindset

- Ability to work independently and take ownership

- Good communication and stakeholder interaction skills

- Collaborative approach with a learning mindset