JobHabor

Sr. Agentic AI Engineer

Location
Remote
Workplace
Remote
Employment
Contract
Salary
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Posted 1mo ago

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Responsibilities

  • Design and develop enterprise-grade Agentic AI applications
  • Build and orchestrate AI agents using LangGraph and LangChain
  • Develop scalable backend services using Python/FastAPI
  • Build responsive frontend applications using React
  • Develop multi-agent workflows with planning, memory, and tool integration
  • Implement RAG-based architectures and vector search solutions
  • Integrate LLMs with enterprise APIs, tools, and databases
  • Implement AI observability, tracing, monitoring, and evaluation
  • Perform prompt optimization and model performance tuning
  • Create reusable AI workflow and orchestration components
  • Work closely with Architects, Product Teams, and Platform Engineers
  • Ensure scalability, reliability, and security of AI applications

Requirements

  • 5–6 years of experience in Core Application Engineering
  • Minimum 2 years of hands-on experience in Agentic AI Engineering
  • Delivered at least 2 production-grade Agentic AI applications as an Engineer
  • Strong understanding of Agentic AI, Multi-Agent Systems, AI Workflows, Agent Orchestration, MCP
  • Hands-on experience with LangGraph and LangChain
  • Strong experience in Prompt Engineering, RAG Architecture, AI Observability, AI Testing & Evaluation, LLM Fine-Tuning Concepts, Tool Calling & Function Calling
  • Backend development with Python, FastAPI/Flask, REST API
  • Frontend development with React, TypeScript/JavaScript, CSS
  • Experience with Docker, Kubernetes, CI/CD Pipelines, GitHub/Azure DevOps, Azure Cloud Services
  • Database & Infrastructure: PostgreSQL/MongoDB, Redis, Vector Databases (ChromaDB, Pinecone, FAISS)

Preferred

  • Experience with CrewAI & AutoGen
  • Familiarity with LangFus, PromptFo, Raggas, LangSmith, OpenTelemetry, Weights & Biases

Skills

  • Python
  • FastAPI
  • Flask
  • REST API
  • React
  • TypeScript
  • JavaScript
  • CSS
  • LangGraph
  • LangChain
  • CrewAI
  • AutoGen
  • MCP
  • Prompt Engineering
  • RAG
  • AI Observability
  • AI Testing
  • LLM Fine-Tuning
  • Tool Calling
  • Function Calling
  • Docker
  • Kubernetes
  • GitHub
  • Azure DevOps
  • Azure Cloud Services
  • Azure Document Intelligence
  • Azure Vision
  • Azure Cognitive Services
  • PostgreSQL
  • MongoDB
  • Redis
  • ChromaDB
  • Pinecone
  • FAISS
  • LangSmith
  • OpenTelemetry
  • Weights & Biases

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