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TALPRO INDIA PRIVATE LIMITED

AI Technical Lead / Architect – Generative & Agentic AI

Posted 13 Hours Ago
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In-Office
Mumbai, Maharashtra
Expert/Leader
In-Office
Mumbai, Maharashtra
Expert/Leader
Lead the architecture and delivery of enterprise-grade generative and agentic AI solutions from proof of concept through production. Design systems involving orchestration, data, APIs, security, deployment, observability, scalability, and CI/CD. Build LLM applications using RAG, embeddings, vector search, prompt optimization, tool integrations, and multi-agent workflows. Integrate enterprise platforms, optimize reliability and cost, establish evaluation frameworks, troubleshoot performance issues, and mentor engineers while managing stakeholder collaboration.
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AI Technical Lead / Architect – Generative & Agentic AI
Role Details
  • Experience: 10+ Years

  • Location: Mumbai

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

  • Budget: Up to ₹2 LPM

  • Contract Duration: 6 Months Initially (Extendible)

  • Joining: Immediate Joiners Only

Interview Process
  • 1 Internal Interview Round

  • Final Round: Face-to-Face discussion at End client location (Bandra) on 28th or 29th April

    ? Please inform candidates in advance about F2F availability

Role Overview

We are seeking an experienced AI Technical Lead / Architect with strong expertise in Generative AI and Agentic AI systems.

This role involves architecting and delivering enterprise-grade AI solutions, taking ideas from POC to production, and building intelligent systems capable of reasoning, planning, and autonomous decision-making.


Key Responsibilities
Technical Leadership & Architecture
  • Lead architecture and design of Generative and Agentic AI solutions

  • Design end-to-end systems covering orchestration, data, APIs, security, and deployment

  • Ensure production readiness including CI/CD, scalability, observability, and security

  • Mentor engineers and collaborate with stakeholders

Generative & Agentic AI Engineering
  • Build LLM-based systems using:

    • RAG (Retrieval Augmented Generation)

    • Embeddings & vector search

    • Prompt engineering & optimization

    • Function calling & tool integrations

    • Agentic & multi-agent workflows

  • Integrate AI systems with enterprise APIs, data platforms, and applications

  • Implement evaluation frameworks for LLM performance

Engineering Excellence & Operations
  • Apply distributed systems principles to AI solutions

  • Design for observability (logs, metrics, tracing, alerts)

  • Troubleshoot issues related to latency, reliability, and model behavior

  • Optimize performance and cost

Collaboration & Mentorship
  • Translate business problems into AI-driven solutions

  • Collaborate with cross-functional teams

  • Mentor engineers on GenAI and cloud-native practices

Mandatory Skills

✔ Strong experience in Generative AI & LLM-based systems

✔ Hands-on expertise in:

  • RAG

  • Embeddings & vector databases

  • Prompt engineering

  • Agentic / multi-agent workflows

✔ Strong Python programming skills

✔ Experience building REST APIs

✔ Strong understanding of distributed systems design

✔ Experience with CI/CD pipelines & automated testing


Cloud & AI Platforms

✔ Experience with:

  • Azure OpenAI / Azure AI Services

  • AWS Bedrock / Amazon SageMaker

Production & Operations

✔ Experience in:

  • Observability (logging, monitoring, tracing)

  • Reliability engineering

  • Performance tuning & cost optimization

Soft Skills
  • Strong leadership and mentoring capabilities

  • Excellent problem-solving mindset

  • Strong communication and stakeholder management



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