AI engineer

As we build to the next level, we’re looking for a top-quality AI engineer with a strong focus on AI agents - someone who knows how to leverage LLMs, both open-source and closed, in combination with complex tool-calling hierarchies and operational patterns., 1. AI Agent Building (60%)

• Develop complex multi-step agentic pipelines around open- and closed-source LLMs.
• Build tools enabling AIs to interact with critical enterprise software platforms.
• Ensure AI designs align with business objectives and industry best practices.

1. ML development and fine-tuning (30%) * Create data generation and processing pipelines to train and fine-tune custom ML models. * Implement and manage training and evaluation pipelines for LLMs.

2. Deployment and AI Systems Infrastructure (10%) * Manage AI infrastructure across platforms such as AWS, Azure, or GCP. * Deploy inference endpoints and serve AI and LLM technologies as part of our core product infrastructure.

• Earned a Bachelor’s degree, Master’s degree or Ph.D. in Computer Science, Engineering, or a related field.
• 5+ years of experience in software engineering, platform engineering, or related roles.
• Proven expertise in AI model building and agent development.
• Strong background in ML and LLM-driven systems development.
• Experience with compound AI systems, vector databases, and tool-calling AIs.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Preferred Qualifications

• Experience building & deploying production-grade, large-scale AI applications.
• Familiarity with AI deployment, evaluation, and monitoring practices.
• Strong communication skills with the ability to articulate complex technical concepts to non-technical stakeholders., We’re looking for someone who enjoys building reliable, scalable systems that help teams move faster. If you take pride in cutting-edge AI, value clear ownership, and want to have a meaningful impact in a fast-moving environment, you’ll fit right in., Amazon Web Services (AWS), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Best Practices, Brand Marketing (Branding), Communication Skills, Computer Science, Enterprise Applications, GCP (Good Clinical Practices), Microsoft Windows Azure, Multiplatform/Cross-Platform, Open Source, Problem Solving Skills, Quality Engineering, SAP, Salesforce.com, Scalable System Development, Software Engineering, Team Player, Training/Teaching

About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that can automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. Our mission: Bring real AI automation to the enterprise - with speed, precision, and measurable impact. We move fast, operate with extreme ownership, and build at the frontier of applied AI.