Senior AI Engineer/Architect – LLM & GenAI Solutions

• Drive innovation in health tech by developing scalable platforms that transform real-time biosensor data into meaningful insights.
• Shape the future of digital health by building solutions that empower people to take control of their metabolic health.
• Create engineering with a global impact by working on technology that reaches millions worldwide.
• Advance accessibility and compatibility by ensuring our solutions integrate seamlessly across devices and ecosystems.

• Build and Integrate AI Solutions using LLM APIs (OpenAI, AWS Bedrock, Anthropic, Mistral) — not just plan, but hands-on develop.
• Shape LLM behavior through prompt engineering, guardrail development, and fine-tuning pipelines.
• Design and build scalable APIs (e.g., FastAPI , Flask) to enable AI-driven features across products.
• Lead performance tuning and ensure system scalability across mobile and cloud platforms.
• Implement GenAI Safety Best Practices , focusing on hallucination mitigation and secure model usage.
• Estimate and optimize costs for large-scale cloud LLM operations
• Consult and Communicate AI strategies to legal, compliance, quality, and executive teams — tailoring technical concepts to diverse audiences.
• Own and Drive Tactical Execution of AI initiatives across multiple products, not just providing oversight.

• Bachelor's Degree with 10+ years of experience or Master's Degree with 7+ years of related software architecture experience (not all AI related) across mobile and cloud platforms.
• 4–8 years of hands-on experience developing and implementing AI/LLM architecture and solutions. (Flexibility on years given AI’s rapid evolution .)
• Strong Python development skills— building new APIs, integrating LLMs, and engineering GenAI applications.
• Deep experience working with cloud-based LLMs (e.g., OpenAI, AWS Bedrock, Anthropic, Mistral models).
• Testing and Debugging — p roficiency in AI app testing techniques, including unit testing, integration testing, and UI testing across various mobile devices and operating system platforms.
• Strong communication and documentation skills — producing diagrams, demos, and technical artifacts that make AI strategies understandable and actionable.
• Proven ability to design for cost efficiency and scalability.
• Strategic thinker who balances technical innovation with business needs.

• Experience developing GenAI agents and LLM meshes.
• Background in large enterprise architecture or scaling AI solutions across multiple business units.
• Experience working in or around regulated industries (healthcare, life sciences, finance) is a plus.

Abbott