Architect, Applied AI Engineering

3 days ago

Pune, Maharashtra, India Icertis Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Responsibilities
  • Architect and implement enterprise-grade LLM/agent systems in Python using frameworks such as Autogen, SemanticKernel, and LangGraph.
  • Design durable agentic workflows and orchestration using Temporal (workflows, activities, signals, retries, long-running transactions).
  • Build complex business software integrations (transactional flows, auditability, RBAC, idempotency) that agents operate within and act upon.
  • Deploy and manage LLMs on Azure AI / Azure OpenAI: inference, scaling, cost/latency SLAs, caching, model routing.
  • Design Retrieval-Augmented Generation (RAG) pipelines, embedding stores and vector DB integrations (Elasticsearch).
  • Implement safe tool/function-calling patterns and secure adapters to external systems (APIs, DBs, messaging).
  • Ensure model & agent safety, hallucination mitigation, bias controls, data governance and compliance.
  • Mentor teams; conduct architecture reviews, design docs and runbooks for production readiness.
Qualifications
  • Expert Python (production systems) and strong software architecture (DDD, microservices, event-driven, transactional patterns).
  • Hands-on LLM/agent experience: Autogen, LangGraph, or equivalent agent frameworks.
  • Proven experience building durable workflows with Temporal.
  • Experience deploying/operating LLMs on Azure AI / Azure OpenAI.
  • RAG, embeddings and vector DB experience.
  • Familiarity with function-calling / tool integration patterns and secure API adapters.
  • Strong leadership, communication and system-design skills.

    Preferred Qualifications:
  • Advanced degree in CS/AI/ML or related.
  • Experience in NLP, RL, or production model optimization (quantization, distillation, batching).
  • Experience with enterprise security, privacy and compliance for AI.

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