Generative AI Professional
- Design and implement GenAI solutions using cutting-edge frameworks (eg, 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
