Senior Software Engineer

Key Responsibilities

• Design and develop scalable AI applications using Python, LangChain, and LangGraph.
• Build and optimize Retrieval-Augmented Generation (RAG) solutions using vector databases.
• Develop AI agents, multi-agent systems, and workflow orchestration using LangGraph.
• Integrate Large Language Models (LLMs) such as OpenAI GPT, Azure OpenAI, Claude, Gemini, or Llama.
• Create prompt engineering strategies to improve model performance and accuracy.
• Develop REST APIs and backend services for AI applications.
• Implement memory management, tool calling, agent execution, and workflow automation.
• Work with structured and unstructured data sources for AI-based solutions.
• Monitor, troubleshoot, and optimize GenAI application performance.
• Collaborate with cross-functional teams to deliver enterprise-grade AI solutions.

Required Skills

Technical Skills

• Strong proficiency in Python Programming.
• Hands-on experience with LangChain and LangGraph.
• Experience with Generative AI and Large Language Models (LLMs).
• Knowledge of Prompt Engineering techniques.
• Experience in building RAG (Retrieval-Augmented Generation) solutions.
• Hands-on experience with Vector Databases such as Pinecone, FAISS, ChromaDB, Weaviate, or Milvus.
• Knowledge of Embeddings and Semantic Search.
• Experience with REST APIs using Flask or FastAPI.
• Strong understanding of AI application deployment and MLOps concepts.
• Experience with Git and CI/CD pipelines.