Note: The job is a remote job and is open to candidates in USA. Programmers.io is seeking a Senior AI/ML Engineer specializing in Agentic AI for a remote contract role. The position focuses on designing and developing enterprise-grade Agentic AI applications, building multi-agent workflows, and delivering scalable backend and frontend services. The engineer will also implement RAG architectures, integrate LLMs with enterprise systems, and ensure AI application observability, reliability, scalability, and security.
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
Skills
- 5+ years of experience in Core Application Engineering
- Must completed DOJO course (Only for internal candidate)
- 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 (Model Context Protocol)
- Strong experience in: Prompt Engineering, RAG Architecture, AI Observability, AI Testing & Evaluation, LLM Fine-Tuning Concepts, Tool Calling & Function Calling
- Backend Development: Python, FastAPI / Flask, REST API Development
- Frontend Development: React, TypeScript / JavaScript, CSS
- Experience with: Docker, Kubernetes, CI/CD Pipelines, GitHub / Azure DevOps, Azure Cloud Services (Document intelligence, Azure Vision, Cognitive Services etc..)
- Database & Infrastructure: PostgreSQL / MongoDB, Redis, Vector Databases (ChromaDB, Pinecone, FAISS)
- Experience building production-ready AI solutions
- Understanding of software engineering best practices
- Familiarity with: LangFus, PromptFo, Raggas, LangSmith, OpenTelemetry, Weights & Biases
- Strong tech enthusiast with continuous learning attitude
- Automation-first problem solving approach
- Actively explores and adopts new tools and open to work on new areas
- Uses AI as a force to multiply your productivity, not just an assistant
- Hands-on experience with: LangGraph, LangChain, CrewAI & AutoGen (Good to Have)
Benefits
- Remote role
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