AI Developer Agentic AI (Enterprise Systems) ( 4 to 8 yrs )

AI Developer – Agentic AI (Enterprise Systems)

Experience: 4–8 Years 

Location: Remote (Work from Home) 

Mode of Engagement: Freelance/Contract/Part time 

No of Positions: 2 to 4 

Educational Qualification: Bachelor's / Master's degree in Computer Science, AI, Data Science, or related field 

Industry: AI / SaaS / Enterprise Software / Data & AI 

Notice Period: Immediate Joiners Preferred

What We Are Looking For

• Strong hands-on experience building enterprise-grade Agentic AI systems end to end.
• Proven experience in requirements gathering, system design, development, deployment, and maintenance of AI-driven applications.
• Deep hands-on expertise with LangGraph, CrewAI, Vercel Eve or similar latest agent orchestration frameworks.
• Strong experience working with LLMs across providers, including Claude, OpenAI models, Gemini, and Hugging Face Transformers.
• Hands-on experience with vector databases for embeddings, semantic search, RAG, Graph DBs and long-term memory.
• Practical experience in LLM fine-tuning, prompt engineering, evaluation, and optimization.
• Strong Python expertise with backend development using FastAPI and Flask.
• Experience deploying AI systems using Docker and CI/CD pipelines in production environments.

Responsibilities

• Gather requirements and design enterprise-level Agentic AI architectures aligned with business needs.
• Build and orchestrate single-agent and multi-agent workflows using the latest technologies and frameworks.
• Integrate and work with LLMs via APIs and open-source models using Transformers.
• Implement RAG pipelines using vector databases for context-aware AI responses.
• Perform LLM fine-tuning, prompt optimization, and performance evaluation.
• Develop production-ready APIs using FastAPI / Flask to expose AI services.
• Containerize AI applications using Docker and deploy through CI/CD pipelines.
• Monitor, maintain, and continuously improve deployed Agentic AI systems.
• Collaborate with product, data, and engineering teams to deliver scalable AI solutions.

Qualifications

• 4–8 years of hands-on experience in AI / ML development, with strong focus on Agentic AI systems.
• Strong proficiency in Python and backend system design.
• Proven experience with LangGraph, CrewAI, or similar latest agent orchestration frameworks.
• Solid experience with vector databases, Graphs and RAG-based solutions.
• Strong experience building APIs using FastAPI and/or Flask.
• Practical knowledge of Docker, CI/CD pipelines, and production deployments.
• Strong analytical, system design, and problem-solving skills.
• Ability to independently own and scale AI systems in a remote setup.