Solution Architect

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. 

🔹 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

✔️ 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

⭐ 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