Agentic AI Engineer
20 hours ago
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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Agentic ai engineer
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Agentic AI Engineer
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Software Engineer, AI Agents
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Bangalore, India Asha Health (YC F24) Full timeAbout Asha Health Asha Health is a New York based seed stage startup that helps medical practices launch their own AI clinics. We're backed by Y Combinator, General Catalyst, 186 Ventures, Reach Capital and many more. We recently raised an oversubscribed seed round from some of the best investors in Silicon Valley. Our team includes AI product leaders from...
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