Gen AI

Minimum Requirements: • Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. • 10+ years of software development experience with strong Python skills. • 2–3+ years of hands-on experience building GenAI/LLM-based applications. • Experience developing multi-step agent workflows using LangGraph or similar orchestration frameworks. • Proficient in designing retrieval pipelines: document loaders, chunking strategies, embedding models, and vector database integration. • Strong grasp of GenAI concepts, including: • Retrieval-Augmented Generation (RAG) • Embeddings & vector databases (e.g., FAISS, Pinecone, ChromaDB) • Prompt engineering and fine-tuning • LLM APIs (e.g., OpenAI, Claude, Gemini) • Solid understanding of API design, microservices, and software architecture patterns. • Familiarity with version control systems (e.g., Git, Azure DevOps). • Experience with Docker and Kubernetes. • Demonstrated ability to build and scale AI/ML solutions from proof-of-concept to production. Preferred Qualifications: • Experience with GenAI orchestration tools (e.g., LangChain, LlamaIndex). • Familiarity with DevOps practices: Azure DevOps, YAML pipelines, Terraform. • Strong interpersonal and communication skills, with the ability to collaborate across teams and influence decision-making. • Self-starter with a proactive mindset and strong problem-solving abilities. • Ability to work both independently and in collaborative team environments. • Interest in leveraging AI tools to enhance productivity and solution delivery.