AI Engineer

Company Description Chetty Technologies is a leading technology company specializing in high-end consulting for organizations across Banking & Finance, Telecom, Healthcare, and Hospitality industries. Operating from offices in the US and India, Chetty Technologiesprovides services including Artificial Intelligence, Machine Learning, Big Data & Analytics, Cloud Computing, and more. The company empowers businesses to unlock the full potential of their data, derive actionable insights, and achieve better decision-making. ChettyAI also offers vendor-agnostic consulting with a focus on growth strategies and innovative big data solutions to enhance organizational performance. Additionally, it provides flexible staffing solutions for clients, including contract and direct placements. 1. Role & Responsibilities We are looking for a hands-on AI Engineer with strong Python expertise and practical experience in Generative AI technologies. The candidate will design, develop, and deploy enterprise-grade AI applications, AI agents, and intelligent automation solutions. Responsibilities • Build AI/GenAI applications using Python. • Develop RAG-based solutions using embeddings, vector databases, and document retrieval. • Integrate LLMs such as: • OpenAI GPT • Anthropic Claude • Google Gemini • Develop APIs and microservices using FastAPI or Flask. • Build AI agent workflows using LangChain, LangGraph, CrewAI, or similar frameworks. • Integrate enterprise platforms such as SharePoint, Microsoft Graph API, Snowflake, databases, and internal APIs. • Deploy scalable AI solutions on cloud platforms such as Microsoft Azure and Amazon Web Services AWS. • Implement logging, monitoring, RBAC, security, and governance controls. 1. Required Technical SkillsCore Skills • 5+ years of experience in Python development. • Strong knowledge of: • Python • FastAPI / Flask • REST APIs • SQL / NoSQL • Async programming AI & GenAI Skills • Hands-on experience with: • LLMs and Generative AI • RAG architecture • Prompt engineering • Embeddings and vector search • AI orchestration frameworks • Experience with: • LangChain • LangGraph • CrewAI • Hugging Face • Azure OpenAI Cloud & DevOps • Experience with: • Docker • Kubernetes • CI/CD pipelines • GitHub / Azure DevOps • Cloud services on Azure or AWS 1. Preferred Qualifications & Soft SkillsPreferred Qualifications • Experience with multi-agent AI systems and AI orchestration platforms. • Familiarity with vector databases such as PGVector, Pinecone, AstraDB, or Weaviate. • Experience with enterprise integrations including: • SharePoint • Microsoft Graph API • Snowflake • Databricks • Understanding of AI security, governance, and enterprise compliance. Soft Skills • Strong analytical and problem-solving abilities. • Ability to work independently and in fast-paced environments. • Strong communication and collaboration skills. • Ability to translate business requirements into scalable AI solutions.