Sr. AI/ML Engineer
Indexed description
You will work directly with senior leadership to shape technical direction, define what should be built, and turn ambiguous product goals into real engineering solutions. This is a hands-on role for someone comfortable building in new and evolving problem spaces.
What You’ll Do
- Lead the design and development of machine learning systems and LLM-based applications
- Fine-tune and adapt large language models for domain-specific use cases
- Build NLP pipelines to extract structured data from complex, unstructured documents
- Translate ambiguous product goals into clear technical and ML execution plans
- Work directly with product signals, user feedback, and backlog input to prioritize development work
- Build evaluation systems to measure model performance and detect regressions
- Design automated benchmarking pipelines for continuous model testing
- Define meaningful performance metrics tied to real-world outcomes
- Build feedback loops that use user corrections to continuously improve model performance
- Apply computer vision techniques to extract data from PDFs and scanned documents
- Develop AI agents that interact with web systems using automation tools such as Playwright or Selenium
- Work across system design, infrastructure, training, and inference pipelines
- Build scalable ML systems and supporting infrastructure from the ground up
- Turn unclear problem spaces into structured, executable technical plans
- Build systems that improve continuously through feedback and evaluation
- Deliver reliable, production-ready AI/ML solutions in fast-changing environments
- Balance experimentation with practical system design and scalability
- Communicate clearly with technical and non-technical stakeholders
- Make strong prioritization decisions when everything is not fully defined
- 6+ years of Python development experience
- 4+ years of experience in AI/ML engineering roles
- Strong experience building and deploying LLM-based systems (e.g., Claude, OpenAI models)
- Comfortable using modern LLM workflows such as prompting, evaluation, and iteration
- Experience building NLP systems for information extraction or document understanding
- Strong understanding of model evaluation, benchmarking, and performance measurement
- Experience working with JavaScript/Node.js and React in production environments
- Familiarity with MongoDB and AWS
- Experience building systems that integrate feedback loops or continuous learning
- Comfortable working in ambiguous environments without fully defined specifications
- Strong communication skills (upper intermediate or higher English)
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