Contribute to the team’s sprint goals, solving technical challenges both independently and through pair programming with your colleagues, while also collaborating with Engineers and Architects from other teams from time to time.
Help your team to deliver high quality, reliable software via our code review and QA practices and contribute to the evolution of these over time.
Make your voice heard when we’re discussing implementation trade-offs within the team or technical solution possibilities with our stakeholders.
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Model Optimization: Evaluate and implement fine-tuning strategies for open-source models (e.g., Llama 3, DeepSeek) when off-the-shelf APIs do not meet specific accuracy or privacy requirements.
Strategic Roadmap: Develop a technical AI roadmap that identifies high-ROI opportunities within the department and outlines the transition from pilot projects to scalable production systems.
Core AI Engineering: 3+ years of experience in AI application development with a strong focus on Large Language Models (LLMs) and Natural Language Processing (NLP).
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Act as a trusted advisor on AWS AI services, helping customers understand potential outcomes, value, and return on investment;
Lead technical discovery sessions and contribute to demonstrations, proofs of concept, and solution design, including model selection, fine-tuning, and deployment approaches;
Provide guidance on model evaluation, responsible AI practices, governance considerations, and relevant compliance requirements.
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