Generative AI

Job Description:

• 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:

• 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

Technical Requirements:

• Generative AI

Additional Responsibilities:

• Agentic AI
• Python
• LLM
• NLP

Preferred Skills:

Technology->Machine Learning->Generative AI