Machinify is hiring a Sr. Software Engineer | ML to lead the design and development of large-scale systems that bring AI into production to transform Payment Integrity and Audit solutions.
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.
- 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 We're Looking For
- 6+ years of software engineering experience.
- Strong programming expertise in Java and Python.
- 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.
- 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.
Nice to Have
- Additional experience in Scala a significant plus.
- Experience with big-data tools and distributed systems frameworks (e.g., Spark, Flink, Kafka, Airflow, Ray) is a strong plus.
Technical Stack
- Languages: Java, Python, Scala
- Monitoring: Prometheus, Grafana
- Big Data & Distributed Systems: Spark, Flink, Kafka, Airflow, Ray
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.
