AI Engineer

Posted 3 Days Ago
2 Locations
In-Office
150K-230K Annually
Senior level
Artificial Intelligence • Information Technology • Software
The Role
Design and build multi-agent AI systems and complex agentic pipelines using open and closed LLMs. Create data generation, fine-tuning, training, and evaluation pipelines. Integrate AIs with enterprise platforms (SAP, Salesforce, Workday, Snowflake, MuleSoft). Manage AI infrastructure and deploy inference endpoints on cloud platforms (AWS/Azure/GCP).
Summary Generated by Built In

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.

Job Summary

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.

This is an opportunity to build scalable, secure, and high-impact AI technologies for the future of enterprise. If you thrive in high-growth, fast-moving environments and are passionate about AI, ML, and AI agents, we want to hear from you.

Key Responsibilities

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.​

2. 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.

3. 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.​

Join the Future of AI at Tessera Labs

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.

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.

Skills Required

  • Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or related field
  • 5+ years 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
  • Experience creating data generation and processing pipelines for training and fine-tuning ML models
  • Ability to manage AI infrastructure and deploy inference endpoints on AWS, Azure, or GCP
  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
  • Experience building and deploying production-grade, large-scale AI applications
  • Familiarity with AI deployment, evaluation, and monitoring practices
  • Strong communication skills to articulate complex technical concepts to non-technical stakeholders
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The Company
HQ: San Jose, California
48 Employees
Year Founded: 2024

What We Do

Enterprise transformations shouldn't take years or cost fortunes. At Tessera, we've built a multi-agent AI platform that cuts ERP transformation timelines from years to weeks and reduces costs by more than half—while delivering first-time-right outcomes with enterprise-grade security and governance. We combine the dependability of a trusted integrator with the speed of an AI innovator. Our vendor-agnostic platform is pre-trained on thousands of enterprise landscapes and hundreds of years of expertise, so it adapts to your environment from day one—harmonizing systems and data to deliver secure, governed execution across ERP and other critical systems. Unlike traditional system integrators, ERP vendor tools, AI point solutions, or in-house builds, Tessera delivers transformations that compress timelines by 90%, replace people-heavy manual work with intelligent automation, ensure systems and data harmonize correctly from the start, and avoid vendor lock-in through adaptive intelligence that evolves with your workflows. Tessera creates lasting change in how your processes and systems operate together. As the platform adapts to your environment and evolves with new data, you gain the confidence to modernize with less risk—freeing up resources to reinvest in growth rather than maintaining legacy complexity. Proven in regulated industries. Built for enterprise reality. Reshaping how organizations transform.

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