We are seeking highly experienced Technical Architects, Solution Architects, and AI Tech Leads with deep expertise in Python, Generative AI, Machine Learning, LLMs, RAG, and Agentic AI to help build next-generation AI‑powered applications.
Responsibilities
- Design and implement LLM-powered applications using RAG architectures
- Build and orchestrate AI agents using LangChain and LangGraph
- Develop scalable AI/ML solutions and semantic retrieval systems
- Fine‑tune, evaluate, and optimize LLM performance
- Architect enterprise‑grade AI platforms and deployment strategies
- Establish MLOps/LLMOps best practices and governance frameworks
Qualifications
- 10+ years of Python Development & Machine Learning experience
- 3+ years of hands‑on experience with GenAI, LLMs, and RAG architectures
- Strong expertise in LangChain and/or LangGraph
- Experience building AI Agents and Multi‑Agent Systems
- Expertise with Vector Databases, Semantic Search, and Retrieval Systems
- Hands‑on experience with PyTorch, TensorFlow, Hugging Face, Scikit‑learn, Pandas, NumPy
- REST API development using FastAPI or Flask
- Cloud deployment experience on AWS, Azure, or GCP
- Strong knowledge of Docker, Kubernetes, Git, CI/CD, MLOps, and LLMOps
- Experience with Prompt Engineering, AI Evaluation, Monitoring, and Governance
Preferred Qualifications
- Experience with Azure OpenAI, LlamaIndex, LangSmith, or similar frameworks
- Exposure to AI evaluation, monitoring, and guardrail frameworks
- Contributions to open‑source AI/ML projects
- Experience integrating AI solutions with React‑based applications