AI Agent Engineer

About the role

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.

Key Responsibilities

• 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.
• 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.
• 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.

Required Qualifications

• 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.

Pay

Compensation Range: $150K - $230K