
Job Overview
Location
New York City, New York, USA
Job Type
Full-time
Category
Software Engineer
Date Posted
February 28, 2026
Full Job Description
đź“‹ Description
- • Tessera Labs is at the forefront of enterprise AI adoption, revolutionizing how businesses integrate and leverage Artificial Intelligence. Backed by prominent investors and guided by an exceptional founding team, we specialize in building sophisticated multi-agent AI systems designed to automate intricate business workflows across leading enterprise platforms such as SAP, Salesforce, Workday, Snowflake, and MuleSoft. Our core mission is to deliver tangible AI automation to enterprises with unparalleled speed, precision, and measurable impact. We foster a culture of rapid iteration, extreme ownership, and continuous innovation at the cutting edge of applied AI.
- • The Forward-Deployed Engineer (FDE) role is a pivotal, hybrid position that sits at the nexus of engineering excellence and direct customer engagement, forming the bedrock of how Tessera delivers transformative value. FDEs are entrusted with the complete lifecycle of customer deployments, from the initial stages of discovery and meticulous architecture design through to hands-on implementation and successful production rollout. This role demands a unique blend of technical acumen and client-facing prowess.
- • In this capacity, you will engage directly with customer teams, delving deep into their existing systems and intricate workflows. Your responsibilities will include conceptualizing and designing innovative AI-driven solutions tailored to their specific needs, writing and rigorously debugging production-grade code, and deploying our advanced multi-agent AI systems within complex, often legacy, enterprise environments. This position is exceptionally well-suited for engineers who possess a strong appetite for tackling ambiguous challenges, excel in environments that demand high levels of ownership, and are eager to operate at the dynamic intersection of cutting-edge AI, robust engineering practices, and large-scale enterprise transformation.
- • Why This Role is Crucial: Forward-Deployed Engineers at Tessera are the vanguards of enterprise AI adoption. You will have the unique opportunity to collaborate with some of the world's most complex and influential organizations, deploying AI systems that drive significant, real-world business outcomes. This is not about showcasing demos or theoretical proofs of concept; it's about delivering tangible results that impact the bottom line. This role offers unparalleled technical ownership, providing direct exposure to executive stakeholders and a clear, influential channel to shape Tessera’s product roadmap based on real-world deployment insights.
- • If you are driven by the desire to see your work deployed into production environments rapidly and to actively influence how AI is practically implemented and utilized within large, established enterprises, this role is an exceptional fit for your career aspirations.
- • Key Responsibilities - Client-Facing Architecture & Solution Design: You will lead critical discovery sessions, meticulously understanding customer system landscapes, identifying core requirements, and recognizing inherent constraints. Your expertise will be instrumental in translating complex business processes into robust, structured technical architectures, leveraging the power of multi-agent AI, Large Language Models (LLMs), and advanced orchestration frameworks. A key aspect of this role involves clearly and effectively communicating these sophisticated solutions to a diverse audience, encompassing both highly technical teams and non-technical business stakeholders. You will be adept at designing and articulating comprehensive end-to-end architectures in real-time during dynamic customer conversations, demonstrating agility and deep technical understanding.
- • Key Responsibilities - Applied AI Engineering & Technical Implementation: You will be responsible for building, meticulously reviewing, and debugging code for AI-driven workflows, essential integrations, and the intricate orchestration of AI agents. This includes seamlessly integrating AI components with existing enterprise systems, with a keen focus on ensuring scalability, optimal performance, robust observability, and stringent governance. You will execute hands-on implementation and deployment tasks, often navigating environments with incomplete or evolving requirements, showcasing adaptability and problem-solving skills. A critical function will be diagnosing and resolving production issues that arise within customer environments, ensuring minimal disruption and maximum uptime.
- • Key Responsibilities - Deployment, Integration & Customer Success: You will be tasked with deploying and configuring Tessera’s proprietary AI agents within complex and diverse enterprise environments. You will serve as the primary technical point of contact throughout the customer's onboarding, implementation, and early adoption phases, fostering strong relationships and ensuring a smooth transition. Close collaboration with our Product, Engineering, and Architecture teams is essential to guarantee successful customer outcomes and to provide invaluable feedback that directly informs and shapes the future product roadmap.
- • Key Responsibilities - Startup Mindset & Ownership: Operating effectively within a fast-paced startup environment with frequently shifting priorities is paramount. You will be expected to take initiative, proactively drive solutions forward with minimal direct supervision, and demonstrate a strong sense of ownership over your work. Travel to customer sites will be required as needed to effectively support deployments, conduct necessary training, and build strong, lasting client relationships.
Skills & Technologies
Python
JavaScript
TypeScript
AWS
Azure
Remote
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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