Technical lead building safe, evaluable LLM agents and AI infrastructure for OpenLoop’s telehealth platform. Setting architecture, observability, retrieval, and model operations direction.
About the role
- Applied AI Engineer developing AI-powered solutions at Forward Financing. Collaborating with cross-functional teams to integrate AI capabilities across technology stacks.
Responsibilities
- Translate high-level business problems into functional AI solutions by creating and executing end-to-end solutions.
- Design, build, and maintain backend services and APIs that deploy and integrate AI-powered features using existing foundational models (e.g., OpenAI, Claude, Hugging Face, etc.).
- Implement scalable, reliable, and maintainable backend architecture supporting AI workflows, automation, and data processing pipelines.
- Integrate AI services into complex technology stacks, ensuring interoperability with microservices, AWS platform, and data systems (Snowflake).
- Enable rapid test-and-learn cycles by building experimentation frameworks that support iterative deployment of AI-driven functionalities.
- Collaborate closely with cross-functional teams including product managers, data scientists, and frontend engineers to translate business needs into technical implementations.
- Stay abreast of the AI ecosystem, frameworks, and tools to guide implementation decisions and technical evaluations for adopting new AI capabilities.
- Document backend system designs, APIs, workflows, and integration patterns clearly for team knowledge sharing and operational continuity.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline.
- Demonstrated experience as a backend software engineer with strong programming skills (Python preferred; experience with Ruby or Go is a plus).
- Proven ability to design and develop scalable backend systems, APIs, and distributed services.
- Strong understanding of cloud infrastructure and platforms, container orchestration, and deployment pipelines.
- Strong knowledge of AI ecosystem components including major foundational model providers, AI APIs, data pipelines, and orchestration frameworks.
- Practical expertise in integrating third-party AI services and managing complex dependencies in multi-stack environments.
- Effective problem solver with a test-and-learn mindset, capable of rapid prototyping and iterative development.
- Excellent communication skills to present technical concepts clearly to both technical and business stakeholders.
Benefits
- medical
- dental
- vision
- commuter benefits
- flexible time-off policy
- paid parental leave
- 401k match for US employees
- wellness reimbursement
- volunteering days
- annual professional development budget
- charitable donation match
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