Python AWS AI Engineer
US client via staffing partner · Hartford, Connecticut | Raleigh, North Carolina | Richardson, Texas
- Location
- Hartford, Connecticut | Raleigh, North Carolina | Richardson, Texas
- Salary band
- Band not stated
- Type
- Full-time
- Level
- Senior
- Work authorization
- Not stated
Stack
Python · TensorFlow · PyTorch · scikit-learn · AWS Bedrock · AWS S3 · AWS EC2 · AWS Lambda · AWS SageMaker · MLOps · LLMs · Generative AI · Prompt Engineering · AI Agents · Machine Learning · OpenAI · Anthropic · Cohere · SDLC
About the role
Python AWS AI Engineer Permanent Hartford, Connecticut | Raleigh, North Carolina | Richardson, Texas Job Description ⦁ Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided ⦁ Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions ⦁ Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability ⦁ Conduct code reviews, do changes to the codebase and maintain code repositories ⦁ Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards ⦁ Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications ⦁ Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability ⦁ Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects Your contribution to the team: ⦁ A collaborative spirit and excellent communication skills. ⦁ The ability to handle end to end SDLC phases from requirement gathering to implementation. ⦁ A knack for translating complex requirements into actionable development tasks. ⦁ A passion for design and hands-on coding experience ⦁ A proactive approach to testing, troubleshooting, and refining our applications. ⦁ The ability to work with cross-functional teams and do software integration. Required Skill and Experience • Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). • Experience in Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI. • Experience with AWS services, especially Bedrock, S3, EC2, and Lambda Familiarity with ML Ops practices and tools for model deployment and monitoring. • Experience with AWS SageMaker for model development and model deployment. • Experience with developing and deploying AI Agents for business problems. • Experience in optimizing and adapt prompt engineering strategies to improve model performance and relevance. • Experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering. • Experience in understanding quantitative/statistical/ML/AI modeling methodologies. • Experience in ML engineering, including hands-on experience with Generative AI/LLMs.
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