Design and build an agentic AI platform to manage renewable energy certificates and automate related workflows. Collaborate across teams to integrate the platform, optimize user onboarding, and iterate based on feedback and metrics.
About the role
- Applied AI Engineer optimizing large language models for real-world healthcare workflows. Collaborating with engineers and product managers to develop robust solutions in healthcare systems.
Responsibilities
- Design, iterate, and optimize prompts that drive LLM behavior in production settings—spanning classification, summarization, structured extraction, and workflow automation.
- Collaborate with engineers, product managers, and customers to translate domain problems (e.g. prior auth, claim appeals, denials) into robust LLM-powered solutions.
- Build and maintain internal tooling for prompt versioning, testing, and performance evaluation (accuracy, latency, cost).
- Fine-tune and evaluate models where needed using structured feedback and real-world data.
- Analyze edge cases and failure modes; design prompt strategies to improve resilience and alignment with business logic.
- Stay current on the LLM ecosystem and incorporate best practices into our architecture.
Requirements
- 2+ year of experience in a software engineering and LLM-centric role.
- Deep understanding of prompt design patterns and LLM capabilities/limitations across GPT-4, Claude, Mistral, etc.
- Hands-on experience with LangChain, LlamaIndex, PromptLayer, or similar frameworks.
- Strong Python skills and comfort working in a codebase (bonus: experience with backend workflows or vector DBs like Weaviate/Pinecone).
- Obsession with quality—you’re comfortable writing tests, measuring performance, and debugging model behavior with structured rigor.
- Bonus: Exposure to healthcare data, terminology (EHRs, RCM, FHIR), or compliance-aware deployments.
Benefits
- Competitive compensation + meaningful equity + healthcare benefits
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
AI Engineer - Consultant developing and integrating AI solutions for clients. Working in a hybrid model to support their journey towards data - driven processes.
Senior AI Engineer building agentic workflows and production - grade systems for an AI - powered platform. Join Altura to innovate and drive impactful AI initiatives in a startup environment.
Applied AI Engineer at WorkOS designing and shipping production AI systems. Collaborating with teams across the company to improve efficiency and workflows using AI.
Staff AI Engineer developing first AI Engineering Co - Pilot for Black Semiconductor's process and device engineering. Utilizing complex datasets to produce insights and predictive models for improved processes.
Senior Full Stack Engineer developing scalable SaaS solutions for logistics at Aspire Software. Focusing on React, TypeScript, and Jakarta EE for end - to - end product development.
AI Product Lead responsible for identifying and building AI - powered product solutions at Aspire Software. Engaging directly with customers to ensure real outcomes and value creation.
Junior AI Engineer at WEP Clinical applying Microsoft tools to support AI solutions. Collaborating with stakeholders to improve AI workflows and drive automation initiatives.
Senior Director of Data & AI Engineering leading enterprise platforms for SLC Management. Overseeing strategy, architecture, and execution while fostering a performance - driven culture.
Develop AI solutions utilizing language models at Grupo Iter for enhancing products and decision - making. Collaborate across teams to integrate AI technologies effectively.