• Develop, fine-tune, and deploy **AI models** in production environments • Integrate AI features into iOS applications using **Swift and CoreML** • Build backend services to support AI-driven functionality • Manage hosting environments and maintain running instances (e.g., **Oracle Cloud infrastructure**) • Set up, deploy, and maintain servers that support AI workloads • Optimize performance, scalability, and reliability of AI systems • Collaborate with product and engineering teams to design innovative AI-powered solutions • Take ownership of technical challenges and independently drive solutions

• Architect and scale the core intelligence behind the platform • Design, build, and optimize the pipelines and agent systems that drive live customer interactions • Partner with engineering leadership to take ideas from whiteboard to production quickly • Design and optimize production-grade RAG systems • Build ranking, scoring, and routing models for live inference • Deploy and monitor reinforcement learning systems • Build and maintain ML APIs and microservices using Docker and Kubernetes

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position focuses on supporting AI development and integration through hands-on technical work, including coding, testing, and system monitoring. While primarily technical, the role also involves Agile coordination to keep tasks organized and ensure smooth communication across teams. Responsibilities - AI Development & Coding: - Assist in building and testing AI applications using platforms like ChatGPT, Azure AI, or similar. - Write and maintain clean, efficient code in Python and/or JavaScript. - Support integration of AI features into products and services. - Develop scripts and tools to automate workflows and improve AI performance. - Quality Assurance & Performance: - Execute test scripts, log bugs, and assist in debugging AI-related systems. - Monitor AI system performance and document issues for resolution. - Validate outputs for accuracy and reliability. - Documentation & Collaboration: - Create and maintain technical documentation, user guides, and workflow diagrams. - Collaborate with developers, data scientists, and product teams to ensure alignment. - Agile Support: - Work with Delivery Lead to update and maintain backlogs in Agile tools. - Track sprint progress and provide concise status updates. - Facilitate communication between technical and non-technical stakeholders. Qualifications - Bachelor’s degree in computer science, Information Technology, or related field; equivalent experience or projects acceptable. - Strong understanding of AI concepts, machine learning workflows, and model deployment basics. - Proficiency in Python and/or JavaScript. - Familiarity with AI platforms (ChatGPT, Azure AI, etc.). - Exposure to Agile methodology and backlog management tools. - Ability to write clear technical documentation, including system and workflow diagrams. - Strong attention to detail and QA skills. Preferred Qualifications - Certifications in AI, data science, or cloud technologies. - Experience with REST APIs, cloud-based development, and version control (Git). - Knowledge of data preprocessing and model evaluation techniques. - Hands-on projects or internships in AI development. - Familiarity with databases and integration workflows. Skills - Technical Problem-Solving: Ability to debug, optimize, and validate AI systems. - Coding Proficiency: Comfortable writing scripts and working with APIs. - Attention to Detail: Critical for QA and performance monitoring. - Adaptability: Ability to learn new frameworks and tools quickly. - Collaboration: Communicate effectively with technical and non-technical teams. Salary & Application Information - Salary range: $90k - $105k. - Application Deadline: The application window for this position is anticipated to close on March 22, 2026. We encourage you to apply as soon as possible. The posting may be available past this date but is not guaranteed.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Forward-Deployed Engineer (FDE) at Tessera, you will be driving how global enterprises deploy AI at scale. You will own our most strategic customers and deployments, building and operationalizing AI automation in a category with no established playbook. - Be the technical arm to our GTM motion, embedding in Fortune 500 customers. - Replace mission-critical workflows in production that previously consumed thousands of human hours. - Develop relationships with top decision-makers at influential companies. - Operate with exceptional autonomy and ownership, representing Tessera at the highest level. - Own customer engagements from pre-deployment to maturity. - Understand customer requirements, design and build new systems, architect deployments, and accelerate deal cycles. - Conduct technical presentations, technical writing, proofs-of-concept, hands-on workshops, and training sessions. Responsibilities - Write code and build production software and workflows on top of the Tessera Mosaic platform. - Conduct deep process discovery with customers, breaking down complex, ambiguous, cross-system problems into well-defined solutions. - Build lightweight prototypes or workflows that showcase Tessera’s AI agents in real enterprise scenarios. - Partner with GTM to clearly frame technical boundaries in sales engagements, producing technical collateral including Statements of Work. - Collaborate with Infra and Engineering to architect implementations that scale and work consistently across high-volume, business-critical processes. - Iterate closely with customers and cross-functional partners to drive adoption from pilot to full production. - Ensure that field signal from the customer is transmitted to the Product and Engineering teams, helping shape our product strategy. - Build long-term customer relationships and proactively identify new automation opportunities throughout engagements. - Lead training and workshop sessions at customer sites to train and upskill Tessera Mosaic users on the platform. Qualifications - 2+ years of experience in a technical, customer-facing capacity such as Forward-Deployed Engineer, Solutions Engineer, Technical Program Manager, Software Engineering with sales or consulting experience, or former technical founder. - Strong hands-on experience with Python and JavaScript/TypeScript. - Experience building production-grade AI systems. - Strong communication skills with both technical and non-technical stakeholders. - Ability to operate effectively under ambiguity and fast-moving deployments. - An ownership mentality and willingness to do whatever it takes to get deployments over the line. - Willingness to travel to customer sites, primarily within the U.S. Nice-To-Haves - Exposure to enterprise platforms such as SAP, Oracle, Salesforce, Workday, Snowflake, MuleSoft, or similar systems. - Experience delivering technical presentations, demos, or PoCs to enterprise customers.