Agentic AI Engineer

5 days ago


Bengaluru, India Lara Tech Consulting Full time

Agentic AI EngineerExperience: 4–7 yearsLocation: Bangalore / New Delhi / GurugramAvailability: This is an urgent requirement – Immediate joiners preferredOverviewDesign, 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 ResponsibilitiesAgent 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 Qualifications4–5 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 SkillsMulti-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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