What You’ll Do
As a Staff Software Engineer at Machinify, you will lead the design and development of large-scale systems that bring cutting-edge AI into production to transform Payment Integrity and Audit solutions. You will:
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Lead development of document processing pipelines capable of annually handling hundreds of millions of documents, including medical records, claims, and benefits data.
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Design and implement agentic workflows that review and validate millions of healthcare claims per year, ensuring accuracy and payment integrity.
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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.
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Collaborate across teams (Data Science, Data Engineering, and Product) to deliver robust, end-to-end AI-powered systems that automate complex workflows.
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Address critical infrastructure needs by tracking and reducing tech debt while strengthening system reliability and scalability.
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Mentor and guide engineers on best practices in designing production-grade AI systems, helping set technical direction for the team.
What You’ll Bring
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6+ years of software engineering experience, including at least 2 years building agentic systems or AI-driven workflows in an enterprise setting.
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Strong programming expertise in Java and Python, with additional experience in Scala a significant plus.
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Experience designing and scaling large-scale, distributed systems and pipelines, ideally processing unstructured data such as documents or healthcare records.
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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.
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Knowledge of monitoring and observability tools (Prometheus, Grafana or similar) and passion for tracking metrics.
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Strong CS fundamentals, including data structures, asynchronous programming, and system design.
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Demonstrated success in reducing manual processes through automation, ideally in healthcare, fintech, or other regulated domains.
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Collaborative mindset with experience working closely with data scientists and cross-functional teams to translate requirements into technical designs and production systems.
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A passion for pushing the boundaries of AI to deliver better-than-human-level accuracy and efficiency at scale.
Technical Requirements
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Bachelor’s or Master’s degree in Computer Science or a related field (or equivalent practical experience).
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Track record of building and shipping enterprise-grade AI/ML systems in production.
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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! Machinify is digital-first.
- 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
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 our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.
