Experience: 4–8 Years Location: Remote (Work from Home) Mode of Engagement: Full-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.

Robust 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.

📌 AI Developer – Agentic AI (Enterprise Systems) (WFH)
🏢 AIMLEAP
📍 Bengaluru