AI Agent Engineer

Tessera Labs builds multi-agent AI systems that automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, and MuleSoft. Backed by Foundation Capital.

We're looking for a top-quality AI engineer with a strong focus on AI agents, someone who knows how to use LLMs, both open-source and closed, in combination with complex tool-calling hierarchies and operational patterns.

Key Responsibilities:

1. AI Agent Building (60%)
2. Develop complex multi-step agentic pipelines around open- and closed-source LLMs.
3. Build tools enabling AIs to interact with critical enterprise software platforms.
4. Ensure AI designs align with business objectives and industry best practices.
5. ML development and fine-tuning (30%)
6. Create data generation and processing pipelines to train and fine-tune custom ML models.
7. Implement and manage training and evaluation pipelines for LLMs.
8. Deployment and AI Systems Infrastructure (10%)
9. Manage AI infrastructure across platforms such as AWS, Azure, or GCP.
10. Deploy inference endpoints and serve AI and LLM technologies as part of our core product infrastructure.

Required Qualifications:

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or 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.

Preferred: Experience building & deploying production-grade, large-scale AI applications; familiarity with AI deployment, evaluation, and monitoring practices.