Agentic AI Engineer

17 hours ago

Bengaluru Karnataka India, Karnataka Lara Tech Consulting Full time

Agentic AI Engineer

Experience: 4–7 years

Location: Bangalore / New Delhi / Gurugram

Availability: This is an urgent requirement – Immediate joiners preferred


Overview

Design, build, and operate production-grade AI agents and tools using Agentic AI frameworks in Python. You will own agentic workflows end-to-end across planning, reasoning, tool calling, retrieval, evaluation, security, and observability.


Key Responsibilities

  • Agent Development: Implement agentic workflows in Python using an agent framework (Semantic Kernel preferred; LangGraph, AutoGen, or CrewAI acceptable).
  • Tool Orchestration: Build reliable tool and function-calling flows with planning, memory, and conversation orchestration.
  • Retrieval Pipelines: Develop retrieval pipelines for RAG and hybrid search, including ingestion, chunking, embeddings, ranking, query planning, grounding, and caching.
  • Cloud Deployment: Deploy agents to production on cloud platforms, integrating identity, networking, cost controls, and runtime observability.
  • Monitoring & Observability: Instrument applications with tracing, metrics, and logs to ensure performance and reliability.
  • Evaluation Workflows: Establish evaluation workflows using prompt and flow tests for offline, batch, and A/B scenarios.
  • System Hardening: Collaborate with product, data, and security teams to harden systems using rate limits, retries, timeouts, and circuit breakers.
  • Documentation & Mentorship: Maintain clear technical documentation and provide mentorship to peers on best practices and debugging.


Must-Have Qualifications

  • 4–5 years of hands-on GenAI application experience before transitioning into agentic system work.
  • Strong proficiency in Python 3.11+ (typing, asyncio, packaging, testing with pytest, profiling, CI/CD).
  • Production experience with at least one agent framework (Semantic Kernel preferred; LangGraph/AutoGen/CrewAI acceptable).
  • Proven expertise in tool/function calling, schema design, argument validation, and multi-step planning.
  • Experience with retrieval systems using vector stores and hybrid search, including grounding and retrieval evaluation.
  • Cloud deployment experience with containers, secrets/identity management, networking, monitoring, and alerting.
  • Strong skills in observability and evaluation (tracing, metrics, log aggregation, experiment design, promotion criteria).
  • Solid understanding of security and safety fundamentals: Prompt-injection defenses, content policy enforcement, sandboxing, and PII handling.
  • Clear and effective technical communication with strong collaborative and review practices.


Good-to-Have Skills

  • Multi-agent patterns (task decomposition, coordinator–worker, human-in-the-loop).
  • Deeper Azure experience, including Azure AI Search and related AI platform services.
  • Evaluation experience with regression suites, red teaming, and guardrails.
  • Proficiency in search/data stores (Elasticsearch, Pinecone, pgvector, Azure AI Search).
  • Frontend integration for agent UIs with streaming/tool traces and secure API design.
  • DevOps proficiency with Docker, Kubernetes, GitHub Actions/Azure DevOps, IaC, and secrets management.

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