Tessera Labs

Tessera Labs

AI Engineer

San Jose Office (HQ)

Sponsorship not specifiedDetected 319 days ago
SnowflakeVector DatabasesAWSAzurePlatform EngineeringMachine LearningLLMsAgentic AIBrand StrategySalesforceSAPHRISCommunicationProblem Solving

About the role

  • If you thrive in high-growth, fast-moving environments and are passionate about AI, ML, and AI agents, we want to hear from you.

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.
  • Create data generation and processing pipelines to train and fine-tune custom ML models.
  • Implement and manage training and evaluation pipelines for LLMs.
  • Manage AI infrastructure across platforms such as AWS, Azure, or GCP.
  • 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.

Requirements

  • 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.
  • 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.

Nice to have

  • Familiarity with AI deployment, evaluation, and monitoring practices.
  • Strong communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Join the Future of AI at Tessera Labs
  • 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.
  • No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs' name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization.
  • Any such activity conducted without explicit written consent is strictly prohibited.

Company info

  • ML development and fine-tuning (30%)
  • Deployment and AI Systems Infrastructure (10%)
  • Deploy inference endpoints and serve AI and LLM technologies as part of our core product infrastructure.
  • Proven expertise in AI model building and agent development.
  • Strong background in ML and LLM-driven systems development.

This listing is sourced directly from Tessera Labs's careers page and normalized into a canonical job model.