Generative AI Engineer

Generative AI Engineer

Pune / Bengaluru

Experience:

Stack: Python, AWS , CI/CD pipelines, Gen AI ,frameworks

Key Responsibilities:

• Design and implement GenAI solutions using cutting-edge frameworks (e.g., Transformers, LangChain, LangGraph, AWS Bedrock).

• Develop scalable and modular Python applications for deploying generative AI solutions.

• Build and manage cloud infrastructure using AWS services (S3, Lambda, DynamoDB, ECS, EKS).

• Automate infrastructure provisioning and configuration using Terraform.

• 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.

Required Skills:

• 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.

• Skilled in Infrastructure as Code (IaC) using Terraform.

• 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