Senior Gen AI Agentic AI Full Stack Lead

Objective:

We are seeking an experienced senior Gen AI/Agentic AI full stack lead to design, develop, and deploy advanced AI solutions using generative AI, agentic AI frameworks, machine learning, and full stack Python development. In this role, you will lead the end-to-end delivery of AI applications, from understanding business requirements and designing scalable solutions to deploying production-ready models. You will work closely with cross-functional teams and leverage cloud platforms such as AWS, Azure, and GCP to deliver innovative, high-quality AI solutions for enterprise clients.

Responsibilities:

• Collaborate with data engineers, data scientists, and business stakeholders to understand the data and the business problems.
• Proven hands-on Gen AI/Agentic AI and data science with machine learning.
• Strong knowledge of Python.
• Experience deploying Gen AI applications with one of the agent frameworks like Langgraph, Autogen, Crew AI.
• Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure.
• Experience in generative AI and working with multiple large language models and implementing advanced RAG-based solutions.
• Experience in processing/ingesting unstructured data from PDFs, HTML, image files, audio to text, etc.
• Experience with data gathering, data quality, system architecture, coding best practices.
• Hands-on experience with vector databases such as FAISS, Pinecone, Weaviate, or Azure AI Search.
• Experience with lean/agile development methodologies.

Requirements:

• Bachelor's degree in computer science, engineering, mathematics, statistics, or related field.
• Proficient in Python and common machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
• Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform.
• Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).
• Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.
• Experience in creating web UI applications, ML models and pipelines, Gen AI and Agentic AI solutions.
• Experience in agentic AI frameworks like Autogen, Crew AI, Semantic Kernel, Langgraph, etc.
• Strong understanding of LLM fine-tuning, local deployment of open source models.
• Proficiency in building RESTful APIs using FastAPI, Flask, or Django.
• Knowledge in model evaluation tools like DeepEval, FMeval, RAGAS, Bedrock model evaluation.
• Experience with perception (e.g. computer vision), time series data (e.g. text analysis).
• Data visualization tools such as Tableau; query languages such as SQL, Hive.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.