Software Engineer, Machinify
GenAI & Agentic Workflows
AI & data-driven healthcare cost reduction platform
Be an early applicant
AI & data-driven healthcare cost reduction platform
101-200 employees
Be an early applicant
101-200 employees
Company mission
To develop software that helps people get the right medical care, at the right time, at the right price.
Role
Who you are
- 6+ years of software engineering experience, including at least 2 years 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
- 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 the job involves
- As a Senior/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
- 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
Our take
Founded in 2016, Machinify's original aims were to help re-tool business operations across industries, transform data into decisions, and enable established enterprises to keep up with the rapidly digitizing space. Nowadays, the company has pivoted to employ its AI expertise specifically in the healthcare industry, where it has already found success with Payers and secured several market-leader customers.
Healthcare is one of many industries where companies have vast pools of data but struggle to make the most of it due to operational restraints in deploying AI systems. Machinify makes it easier for Payers to implement AI-powered decision-making, applying it to the authorization of treatments, review of medical claims and bills, and diagnosis of underlying conditions.
The company's choice to focus on healthcare comes alongside a more pinpointed mission to help tackle overpayment and supply more affordable healthcare to a broader scope of patients, which is definitely commendable. With intelligent applications such as those Machinify provides seeing broader adoption in the market, the company will likely see more funding and growth in the coming years.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Oct 2018
$10m
SERIES A
Mar 2016
$2.8m
SEED
Total funding: $15.6m
Company benefits
- Work from anywhere in the US
- Home office stipend
- Work on big projects that impact millions of lives
- Premium medical, dental & vision benefits
- 401k plan sponsorship
- No-meeting day every week
- Individual Equity and Tax Advisory services
- Flexible PTO
- Home office stipend
- Mentorship from industry leaders
- Annual learning and development stipend
Company HQ
University South, Palo Alto, CA
Leadership
Prasanna Ganesan
(Co-Founder & CEO)Previously co-founded VUDU where they served as the CTO and General Manager. They also served as the CTO at Klip before founding Machinify.
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