Sr. Agentic AI Engineer
- Location
- Remote
- Workplace
- Remote
- Employment
- Contract
- Salary
- —
Posted 1mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
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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