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.
2. 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
3. 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.
