Staff Software Engineer | Agentic Workflows

What You’ll Do

• Lead development of document processing pipelines capable of annually handling hundreds of millions of documents, including medical records, claims, and benefits data.
• Design and implement agentic workflows that review and validate millions of healthcare claims per year, ensuring accuracy and payment integrity.
• Evolve our agentic ecosystem by driving innovation in prompt development lifecycle, optimal utilization of various flavors of multi-modal (text + vision) LLMs, context extraction, RAG, workflow orchestration frameworks, observability and logging, and explainability of LLM outputs.
• Collaborate across teams (Data Science, Data Engineering, and Product) to deliver robust, end-to-end AI-powered systems that automate complex workflows.
• Address critical infrastructure needs by tracking and reducing tech debt while strengthening system reliability and scalability.
• Mentor and guide engineers on best practices in designing production-grade AI systems, helping set technical direction for the team.

What You’ll Bring

• Deep software engineering experience, with meaningful experience building agentic systems or AI-driven workflows in an enterprise setting.
• Strong programming expertise in Java and Python, with additional experience in Scala a significant plus.
• Experience designing and scaling large-scale, distributed systems and pipelines, ideally processing unstructured data such as documents or healthcare records.
• Proven ability to productionize AI/ML techniques (e.g., LLM prompt engineering, RAG, workflow automation, and agents) with a focus on reliability, observability, and explainability.
• Knowledge of monitoring and observability tools (Prometheus, Grafana or similar) and passion for tracking metrics.
• Strong CS fundamentals, including data structures, asynchronous programming, and system design.
• Demonstrated success in reducing manual processes through automation, ideally in healthcare, fintech, or other regulated domains.
• Collaborative mindset with experience working closely with data scientists and cross-functional teams to translate requirements into technical designs and production systems.
• A passion for pushing the boundaries of AI to deliver better-than-human-level accuracy and efficiency at scale.

Technical Requirements

• Bachelor’s or Master’s degree in Computer Science or a related field (or equivalent practical experience).
• Track record of building and shipping enterprise-grade AI/ML systems in production.
• Strong testing and code quality discipline, with experience contributing to and improving enterprise-grade systems.
• Experience with big-data tools and distributed systems frameworks (e.g., Spark, Flink, Kafka, Airflow, Ray) is a strong plus.

What We Offer

• Work from anywhere in the US!
• Top Medical/Dental/Vision offerings
• FSA/HSA
• Tuition reimbursement
• Competitive salary, 401(k) with company match
• Unlimited PTO
• Additional health and wellness benefits and perks
• Flexible and trusting environment where you’ll feel empowered to do your best work

Pay

The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels and the base salary can range from $180k-$250k+ based on your assessed level. Compensation also includes meaningful equity, healthcare, unlimited PTO, and more.