AI Engineer

DevExplore; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

Tessera Labs is seeking a top-quality AI engineer focused on AI agents to build scalable, secure AI technologies for the enterprise. You’ll work with open- and closed-source LLMs, develop complex agent pipelines, and ensure tool-calling capabilities align with business goals.

You will design data generation and training pipelines for custom ML models, fine-tune LLMs, and manage deployment and infrastructure across leading cloud platforms.

Qualifications

• Bachelor’s degree or higher in CS/Engineering or related field.
• 5+ years of software/platform engineering experience.
• Proven expertise in AI model building and agent development.
• Strong background in ML and LLM-driven systems development.
• Experience with multi-system AI, vector databases, and tool-calling AIs.
• Excellent problem-solving and collaborative skills in fast-paced environments.

Responsibilities

• AI Agent Building (60%): Develop multi-step agent pipelines around open- and closed-source LLMs. Enable tools for critical enterprise software interactions.
• ML Development & Fine-Tuning (30%): Create data pipelines to train and fine-tune custom ML models; manage training/evaluation for LLMs.
• Deployment & AI Systems Infrastructure (10%): Manage AI infra across AWS/Azure/GCP; deploy inference endpoints.

Skills

AI model building

Agent development

ML development

LLM-driven systems

Problem solving

Collaboration

Education

Bachelor's/Master's/PhD in CS or Engineering

Tools

Vector databases

Tool-calling AIs

Open-source/closed-source LLMs

Job description

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.

The Role

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. 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 high-growth, fast-moving environment, you’ll fit right in.

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 & 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 & 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.

Qualifications

• Education: Bachelor’s degree, Master's degree, or Ph.D. in Computer Science, Engineering, or a related field
• Experience: 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

• Experience building and 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

Compensation & Additional Details

• Compensation Range: $150,000 - $230,000