AI/ML Engineer
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About this role
Please note that we do not offer work visa sponsorship at any point for this role.
This is a hybrid role working Tuesdays & Thursdays in our Redwood City, CA office. Local candidates only. No relocation.
We’re looking for an AI/ML Engineer (Software Engineer II) who’s eager to build intelligent systems that help real businesses work smarter. You’ll work closely with senior engineers and enterprise customers to design and prototype AI applications powered by Alation’s data ecosystem.
This role is ideal for someone who enjoys coding, experimenting with large language models, and learning how to turn ideas into real-world systems. You’ll get hands-on experience with modern AI frameworks while developing your skills in data, software engineering, and customer collaboration. One more thing...we work in a hybrid model—you’ll join us in our Redwood City office to collaborate, connect, and enjoy a team atmosphere!
What You’ll Do
- Prototype AI Agents: Experiment with modern LLM and agent frameworks (e.g., LangChain, Pydantic-AI) — evaluate, benchmark, and refine performance with guidance from AI experts and researchers.
- Collaborate with customers: Partner with technical stakeholders to understand real-world use cases and co-design practical solutions.
- Build AI-powered applications: Develop agentic systems that combine structured data, language models, and automation to deliver measurable results.
- Code with care: Write clean, well-structured Python code for integrations, pipelines, and intelligent systems.
- Grow through teamwork: Work directly with product and platform teams to share insights from real deployments and help improve Alation’s AI platform.
- Contribute reusable tools: Help create templates and patterns that speed up future implementations.
Required
- 1 - 3 years of related experience in a startup or rapidly growing and evolving business.
- B.S. in Computer Science or related field (M.S. in Computer Science or related field preferred)
- Strong Python fundamentals, with experience writing and debugging production-quality code.
- Curiosity and an understanding of LLMs or AI system development — from prompting to evaluation.
- Comfort working with SQL and relational data; familiarity with tools like Snowflake, BigQuery, or Redshift is a plus.
- Interest in working across the full lifecycle — from problem framing and prototyping to testing and deployment.
- Clear communication skills and an ability to collaborate with both engineers and non-technical teams.
- A growth mindset — you like learning new frameworks, exploring ideas, and solving open-ended problems.
Preferred
- Experience deploying AI or ML systems in production (e.g., observability, monitoring, and iterative improvement).
- Background in forward deployed engineering, solutions engineering, or AI consulting roles.
- Familiarity with data infrastructure and MLOps concepts — APIs, orchestration, containerization, and cloud environments.
- Understanding of enterprise data governance and access control principles.