AI Engineer – Generative & Agentic AI

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 Sage.

Maker 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