Tempe, AZ / Phoenix, AZ / Alpharetta, GA or be willing to relocate. This position may require travel.
Required:
- At least 2 years of experience in Information Technology, including a minimum of 1 year of hands-on experience in GenAI / Agentic AI and data science with machine learning.
- Strong proficiency in Python programming
- Experience in building GenAI applications using one of the Agent Frameworks such as LangGraph, AutoGen, or Crew AI.
- Hands-on experience in processing and ingesting unstructured data from various formats such as PDFs, HTML, image files, and converting audio to text.
- Hands-on experience with vector databases such as FAISS, Pinecone, Weaviate, or Azure AI Search.
- Experience in deploying GenAI stacks/services across platforms like AWS, GCP, Azure, and IBM Watson.
- Demonstrated expertise in Generative AI, working with multiple Large Language Models (LLMs), and implementing advanced Retrieval-Augmented Generation (RAG) based solutions.
- Demonstrate experience in developing full stack applications and API services.
- Experience with Lean / Agile development methodologies
- This position may require travel, will involve close co-ordination with offshore teams
- Knowledge of NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).
- Knowledge in building RESTful APIs using FastAPI, Flask, or Django.
- Knowledge in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation.
- Knowledge in Machine Learning, Deep Learning - CNNs, RNN, LSTMs and the latest research trends
- Data visualization tools such as Tableau, Query languages such as SQL, Hive
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Experience and desire to work in a Global delivery environment.
The job entails an extensive amount of travel. The job also entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face.