Senior Software Engineer, Komodo Health

• 8+ years of hands-on software engineering experience, with expertise in designing scalable, distributed systems
• Strong Python, No SQL, SQL, Vector DBs, AWS (such as Lambda, Step Functions and Fargate) skills
• Experience with infrastructure-as-code (Such as CloudFormation, CDK, Terraform)
• Experience with Large Language Models (LLMs), RAG, and AI-driven data handling or related areas such as information retrieval or process automation
• Experience in scaling APIs, preferably for data processing
• Experience with orchestration tools, version control (Git), CI/CD (Github Actions))
• Experience planning, breaking down, and estimating engineering tasks using standard software development methodologies
• Strong communication and leadership skills, with the ability to translate complex technical challenges into actionable solutions
• Ability to leverage AI tools (Gemini, ChatGPT, Cursor, etc.) to enhance personal productivity, streamline workflows, or improve decision-making

Desirable

• We are seeking a Senior Software Engineer Engineer to design, build, and scale Komodo Health’s AI-powered Public Data Acquisition, Extraction, and Curation Platform
• This role is instrumental in transforming the way we handle unstructured and semi-structured data to generate structured insights, directly powering Komodo’s Data and Products
• As a Senior Software Engineer, you will drive innovation at the intersection of Automation and Generative and Agentic AI to scale acquiring and handling of public data and optimizing human-in-the-loop workflows
• You will be responsible for evolving the platform to handle the complexity, variability, and scale to include new domains
• You'll be hands-on in designing, developing, and maintaining at least TWO of the following:
• 1. Scalable and intelligent data crawling & scraping infrastructure and tooling to significantly reduce onboarding time of new sources while ensuring automated operations, handling failure modes requiring human intervention only when absolutely necessary
• 2. Scalable and generalizable data extraction processes and APIs, leveraging Generative and Agentic AI for entity and relationship extraction
• 3. AI-driven intelligence, automation, and tooling for linking, validation, and enhancement of extracted data, incorporating human-in-the-loop processes, with automated change detection and curation workflows
• 4.APIs and platform capabilities to provide visibility, operational insights, and optimization across all stages of data acquisition, extraction, and curation workflows and processes
• 5. Progressively advancing AI capabilities from AI-powered to autonomous agents that can independently handle unstructured data, reducing human intervention while continuously improving accuracy, adaptability, and efficiency
• Beyond contributing code, you'll collaborate with and influence a high-performance engineering team, driving the development of scalable, resilient data workflows
• You'll ensure engineering excellence, align system capabilities with product needs, and own the evolution of a set of platform capabilities built to handle the growing complexity of integration at scale
• Looking back on your first 12 months at Komodo Health, you will have…
• Delivered scalable platform capabilities and automation for prioritized items spanning crawling, scraping, extraction, and curation, integrating Generative and Agentic AI to enable self-improving workflows
• Increased data onboarding velocity, improved extraction accuracy, and reduced costs through purpose-built platform capabilities and automation
• Partnered with Product and Engineering teams to execute a high-impact technical roadmap, influence key technical decisions, and ensure seamless platform adoption
• Developed and maintained high-quality, test-covered code using Python, AWS services and Gen AI, while implementing best practices in source control, CI/CD, and environment management
• We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights