Applied AI Engineer

Become a part of our caring community. We are seeking Senior AI Software Engineers who thrive on building production‑grade, Python‑based systems that put generative AI in the hands of real users – not just prototypes or notebooks. The ideal candidate is first and foremost a strong software engineer, with hands‑on experience designing, shipping, and operating LLM‑powered applications at scale.

As a Senior Engineer, you will own the design and delivery of AI‑powered services end to end – from API and system design, through implementation and deployment, to monitoring and continuous improvement in production. You will partner with data scientists and fellow engineers, but your primary focus is on engineering excellence: well‑architected services, reliable pipelines, clean code, and robust operations.

• Design, build, and operate production services that leverage Large Language Models, RAG, and agentic workflows to solve real business problems.
• Architect and maintain scalable, well‑tested APIs and backend systems that expose AI capabilities to downstream applications.
• Build and maintain robust data and inference pipelines for ingestion, processing, transformation, and serving of large datasets and model outputs.
• Own the reliability, performance, cost, and observability of deployed APIs and pipelines (logging, metrics, tracing, alerting, evaluations).
• Drive engineering best practices across the team: code review, testing, CI/CD, documentation, and secure‑by‑default design.
• Stay current with advancements in LLMs, agent frameworks, and AI infrastructure, and translate them into pragmatic engineering improvements.

• Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Software Engineering, Mathematics, or a related field) with a minimum of 5 years of professional software engineering experience, or a Master’s Degree with at least 3 years of relevant experience.
• 5+ years of experience developing production Python‑based applications and services intended for use by others – not just models, scripts, or analyses.
• Strong software engineering fundamentals: API and system design, data structures, testing, code review, and debugging distributed systems.
• Proficiency with API frameworks (e.g., FastAPI, Flask) and solid grasp of RESTful API design, authentication, and versioning.
• Experience building and operating backend services on cloud platforms (e.g., AWS, Google Cloud, Azure).
• 3+ years of experience with containerization and orchestration (e.g., Docker, Kubernetes).
• 2+ years of experience with CI/CD tools and pipelines, and shipping code to production on a regular cadence.
• Hands‑on experience integrating Large Language Models (LLMs) into production applications – including prompt design, tool/function calling, evaluation, and cost/latency tuning.
• Strong experience with version control (Git), trunk‑based or feature‑branch workflows, and modern software development best practices.
• Hands‑on experience using agentic AI coding tools (e.g., Claude Code, Cursor, Git Hub Copilot agents) as part of the day‑to‑day development workflow, including effective prompting, reviewing AI‑generated code, and iterating on multi‑step agent tasks.

• Experience designing and operating agentic or RAG‑based systems in production (retrieval, tool use, memory, evaluations).
• Experience with distributed systems, event‑driven architectures, or streaming platforms (e.g., Kafka).
• Familiarity with generative AI frameworks such as Lang Chain, Llama Index, or Pydantic AI.
• Familiarity with observability and evaluation tooling for LLM applications (e.g., Open Telemetry, Lang Smith, Arize, custom evaluation harnesses).
• Familiarity with infrastructure‑as‑code (e.g., Terraform, Pulumi).
• Excellent problem‑solving skills and ability to work in a collaborative, fast‑moving environment.

Candidates must currently reside in, or be willing to relocate to, one of our designated tech market locations (Louisville, Dallas, Boston, New York City, or Washington, DC) and be able to work onsite as needed to support team collaboration, innovation, and key business initiatives.

Weekly Hours: 40

Pay…