Tessera Labs, Inc. logo

AI Agent Engineer

Job Overview

Location

Remote

Job Type

Full-time

Category

Machine Learning Engineer

Date Posted

February 17, 2026

Full Job Description

đź“‹ Description

  • • Tessera Labs, Inc. is at the forefront of AI innovation, and we are seeking a highly skilled and motivated AI Agent Engineer to join our dynamic, remote team. This is a unique opportunity to shape the future of enterprise AI by building scalable, secure, and high-impact AI technologies. If you are passionate about the rapidly evolving landscape of Artificial Intelligence, Machine Learning, and specifically AI agents, and you thrive in fast-paced, high-growth environments, we invite you to apply and contribute to our groundbreaking work.
  • • As an AI Agent Engineer, you will play a pivotal role in designing, developing, and deploying sophisticated AI agents capable of complex decision-making and interaction with critical enterprise systems. Your primary focus will be on leveraging both open-source and closed-source Large Language Models (LLMs) to create intelligent agents that can execute multi-step processes, utilize advanced tool-calling hierarchies, and adhere to robust operational patterns. This role demands a deep understanding of AI/ML principles, practical experience with LLM integration, and a strong software engineering foundation.
  • • Key Responsibilities:
  • • AI Agent Building (60% of your time):
  • • Architect and develop intricate, multi-step agentic pipelines that seamlessly integrate open-source and closed-source LLMs. This involves designing workflows that enable AI agents to perform complex tasks requiring sequential reasoning and decision-making.
  • • Create robust tools and frameworks that empower AI agents to interact intelligently and securely with critical enterprise software platforms. This includes developing APIs, connectors, and middleware to facilitate communication between AI agents and existing business systems.
  • • Ensure that all AI agent designs are meticulously aligned with overarching business objectives, industry best practices, and ethical AI principles. This requires a keen understanding of how AI solutions can drive tangible business value and maintain user trust.
  • • Implement sophisticated prompt engineering techniques and agentic frameworks (e.g., ReAct, Plan-and-Execute) to optimize the performance and reliability of AI agents.
  • • Design and implement mechanisms for agent self-correction, error handling, and continuous learning to improve performance over time.
  • • Explore and integrate novel AI architectures and methodologies to push the boundaries of what AI agents can achieve.
  • • ML Development and Fine-tuning (30% of your time):
  • • Develop and manage efficient data generation and processing pipelines specifically tailored for training and fine-tuning custom ML models, including LLMs.
  • • Implement and oversee robust training and evaluation pipelines for LLMs, ensuring models are optimized for specific tasks and datasets.
  • • Conduct experiments with various fine-tuning techniques (e.g., LoRA, QLoRA, full fine-tuning) to adapt pre-trained models to our specific use cases.
  • • Utilize and integrate vector databases for efficient knowledge retrieval and context augmentation within AI agent systems.
  • • Develop evaluation metrics and methodologies to rigorously assess the performance, accuracy, and safety of trained models.
  • • Deployment and AI Systems Infrastructure (10% of your time):
  • • Manage and maintain AI infrastructure across leading cloud platforms such as AWS, Azure, or GCP, ensuring scalability, reliability, and cost-effectiveness.
  • • Deploy inference endpoints for AI and LLM technologies, integrating them seamlessly as core components of our product infrastructure.
  • • Implement best practices for MLOps, including CI/CD pipelines for AI models, automated testing, and continuous monitoring of deployed systems.
  • • Collaborate with platform and infrastructure teams to ensure the robust and secure operation of AI services.
  • • Troubleshoot and resolve issues related to AI model deployment, performance, and infrastructure.
  • • We are looking for an individual who is passionate about building reliable, scalable systems that empower teams and drive efficiency. If you take immense pride in working with cutting-edge AI, value clear ownership of your work, and are eager to make a meaningful impact in a fast-moving, innovative environment, you will find a perfect fit at Tessera Labs.

Skills & Technologies

AWS
Azure
GCP
Remote
Degree Required

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About Tessera Labs, Inc.

Tessera Labs provides a secure platform for developers to integrate, evaluate, and deploy large language models. Its APIs and control layer streamline access to multiple models while enforcing policy, monitoring usage, and protecting sensitive data across applications. The company focuses on governance, observability, and compliance tooling that lets enterprises adopt generative AI safely at scale.

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