- 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
- 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
Technology->Machine Learning->Generative AI
