AI Engineer – Generative & Agentic AI
12-month contract-to-hire AI Engineer role in Mumbai (BKC, hybrid 3 days/week) building production-grade generative and agentic AI systems — LLM apps with RAG, embeddings, prompt engineering, and multi-agent orchestration, deployed on AWS (Bedrock, SageMaker). Requires 5–7 years' experience, Python, and immediate availability.
- Compensation
- ₹2.4M / yr
- Location
- Mumbai, India
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 5+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 5–7 years of experience
- Strong expertise in Python
- Experience with REST APIs
- Hands-on experience with CI/CD pipelines and automated testing
- Strong understanding of distributed systems fundamentals
- 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
- Experience with AWS Bedrock
- Experience with Amazon SageMaker
- Observability (logs, metrics, tracing, alerts)
- Monitoring and performance tuning
- Production deployment of AI systems
- Immediate joiners only
- Mandatory in-person final interview round
Nice to have
- 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
Full description
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