GenAI Engineer
First seen by Alion on Sep 11, 2026.
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.
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.
- 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.
Skills
Generative AI, Artificial Intelligence, Python, LangChain, LangGraph, AWS, Machine Learning, MLOps, Prompt Engineering