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

• Strong problem-solving and analytical mindset
  

• Ability to work independently and take ownership
  

• Good communication and stakeholder interaction skills
  

• Collaborative approach with a learning mindset