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