Generative AI

Key Responsibilities:
* Design and implement GenAI solutions using cutting-edge frameworks (e.g.,
* Transformers, LangChain, LangGraph, AWS Bedrock, Agentcore).
* Develop scalable and modular Python applications for deploying generative AI solutions.
* Build and manage cloud infrastructure using AWS services (S3, Lambda, DynamoDB, ECS, EKS).
* Collaborate with data scientists, ML engineers, and product teams to integrate AI models into domain-specific applications.
* Ensure production-grade scalability, reliability, and security of GenAI systems.
* Monitor and optimize system performance using tools like AWS CloudWatch.
* Stay updated with advancements in GenAI, cloud computing, MLOps, and DevOps.
* Contribute to code reviews, documentation, and Python development best practices.

Agentic AI
Python
LLM
NLP

Generative AI

* Strong Python proficiency with experience in FastAPI, asyncio, modular application design, and parallel processing.
* Familiarity with Python parallel processing modules such as multiprocessing, concurrent.futures, dask for efficient parallel and distributed computing.
* Hands-on experience with GenAI frameworks such as LangChain, LangGraph, and Prompt Engineering.
* Proficient in AWS cloud services and cloud-native architecture.
* Familiar with CI/CD pipelines, Docker, and Kubernetes.
* Familiarity with code quality tools such as pylint, black, isort, mypy, pytest, SonarQube, SonarLint, and Black Duck for linting, formatting, testing, static analysis, and open-source security compliance
* Solid understanding of security best practices in cloud and AI deployments.
* Excellent analytical and communication skills.
* Should be able to network within GenAI team and with other teams as enablement tribe