AI Agent Engineer
Role Overview
This senior-level AI Agent Engineer role involves developing complex multi-step agentic pipelines using LLMs and building tools for AI interactions with enterprise software. The engineer will work on ML development, including fine-tuning custom models and managing training pipelines, while deploying AI infrastructure on platforms like AWS or GCP. They will have a significant impact by creating scalable, secure AI technologies in a fast-paced, collaborative team environment.
Perks & Benefits
This is a fully remote position, likely with flexible hours, though time zone expectations may align with team collaboration. The role offers career growth in cutting-edge AI technologies within a high-growth, fast-moving company culture that values clear ownership and meaningful impact. Benefits may include opportunities for professional development and a supportive, innovative work environment typical of tech startups.
Full Job Description
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.
3+ 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.
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