Agentic Ai Engineer
Lara Tech ConsultingBengaluru, Republic Of India, IN2 days ago
Job descriptionTool 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. 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 ; 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 : P rompt-injection defenses, content policy enforcement, sandboxing, and PII handling. Clear and effective technical communication with strong collaborative and review practices. 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.
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).
Must-Have Qualifications
LangGraph / AutoGen / CrewAI acceptable).
Good-to-Have Skills
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Agentic Ai Engineer • Bengaluru, Republic Of India, IN
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