Software Engineer, Agents & Automations
Design, build, ship, and maintain core capabilities for North’s Agents & Automations platform. Build product and platform features that help users create, run, debug, evaluate, and improve agents and automations. Own features end-to-end, from technical design through implementation, testing, launch, and iteration. Work across the stack, from frontend product surfaces to backend systems, depending on what the product needs. Make practical technical decisions that balance speed, quality, depth, and user impact. Collaborate closely with product, design, modelling, customer-facing teams, and other engineers to define the right outcomes and ship measurable improvements. Use AI actively in your work, while staying intellectually engaged and accountable for the quality and reliability of what you ship.
Research Intern, Inference (Fall 2026)
As an AI Infrastructure Engineer at Together, the responsibilities include participating in on-call rotation to respond to production incidents, building and running infrastructure using Ansible, Terraform, and Kubernetes to support scaling to a large number of concurrent users, building monitoring systems to ensure high-quality service, designing and implementing operational processes such as deployments and upgrades, debugging production issues across all services and stack levels, identifying improvements for product architecture in terms of reliability, performance, and availability, and planning the growth of Together AI's infrastructure.
Member of Technical Staff (Machine Learning Engineer)
Translate cutting-edge research into production-ready machine learning systems. Design, build, and deploy end-to-end ML models and pipelines. Develop and optimize models for image and video processing. Own the full ML lifecycle including experimentation, training/fine-tuning, evaluation, and deployment. Rapidly prototype using open-source models and adapt them for product needs. Conduct experiments, analyze results, and iterate to improve performance. Collaborate with researchers and cross-functional teams (product, engineering, design) to deliver ML solutions at scale. Participate with advancements in machine learning and apply them to continuously improve products.
Warehouse Supervisor (Temporary)
Utilize proprietary software to provide accurate input and labels for healthcare and administration projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving patient care coordination, medical billing, administrative workflows, and healthcare operations. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for healthcare and administration data. Select and analyze complex problems in healthcare and administration fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.
Strategist, Agent Development (Dutch speaking)
As a member of the Agent Strategist function at Sierra, the role involves partnering with Agent Product Managers and Agent Engineers to scope, build, and ship AI agents that manage thousands of customer conversations daily. Responsibilities include being a trusted advisor to customers and driving their AI strategies, building, designing, and refining conversational AI agents while gaining direct exposure to their development and improvement. The strategist will drive execution and delivery of multiple complex, high-visibility agent development projects, coordinate across technical and non-technical stakeholders through the full development lifecycle, ensure clear communication and strong relationship-building among stakeholders, and contribute data-driven, strategic insights to both customers and internal team decisions.
Software Engineer, Agent (Dutch speaking)
Design and deliver production-grade AI agents that are highly performant, reliable, and intuitive, which are central and mission-critical to Sierra's growth across industries like finance, healthcare, and commerce. Take complete ownership and autonomy over the Agent Development Life Cycle (ADLC) from initial pilot through deployment and continuous iteration, including building, tuning, and evolving AI agents in production environments while defining best practices for ADLC. Partner with leaders at large enterprises and cutting-edge startups to understand their business challenges and build AI agents that transform their operations at scale. Collaborate with customers to guide the evolution of Sierra's core platform by surfacing unmet needs, prototyping new tools and features, and working with research, product, and platform teams to shape the future of AI agent development and Sierra's product.
Lead Data Scientist
As a Lead Data Scientist, you will set the technical direction for complex, business-critical projects, balancing trade-offs between speed, innovation, and reliability. You will design and implement reliable, production-grade technical solutions and ensure comprehensive documentation of architectures and specifications. You will define project problems, develop clear roadmaps, and oversee end-to-end delivery across multi-disciplinary workstreams. Your responsibilities include leading technical scoping and feasibility studies for high-value sales opportunities and strategic customer engagements, managing relationships and communications with demanding clients to align technical solutions with shared long-term commercial goals, driving the adoption of best practices, shared resources, and robust technical processes across the wider Data Science craft, and mentoring and developing other data scientists and team members to contribute to the growth and technical excellence of the organization.
Software Engineer, Platform
As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, support end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and resilient cloud infrastructure for international government partners. You will own the production outcome, taking full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. You will ensure full-stack integrity by overseeing the health of the platform, ensuring seamless integration between the AI core and all full-stack components from APIs to UI. Additionally, you will build automated systems to monitor model performance and data drift across geographically dispersed environments, manage the technical lifecycle within diverse regulatory frameworks, lead the response for production issues in mission-critical environments, translate deep technical performance metrics into clear insights for senior international government officials, and partner with Engineering and ML teams to ensure field lessons influence future technical architecture and decisions.
Staff Engineer, Forward Deployed (R5021)
The Software Applications Engineer will provide technical expertise and support to customers during the implementation and use of Shield AI enterprise software products. This role involves working closely with customers to understand their requirements and ensuring successful product integration for AI & Autonomy development. Responsibilities include becoming an expert user of the Hivemind Enterprise Autonomy Software Development Kit; developing AI & Autonomy applications using Hivemind for unmanned platforms across air, sea, land, and space; deploying Hivemind AI infrastructure at customer sites; providing technical training to customers for their autonomy development efforts; assisting customers in integrating Hivemind autonomy to their vehicles and platforms; helping customers debug software and API integration issues; collaborating with the product and engineering teams to address customer feedback and improve products; developing and maintaining technical documentation and training materials; assisting the sales team in answering complex technical queries from customers; and traveling to and staying at customer sites as required, approximately 30% travel.
Researcher, Training - London
Design, prototype and scale up new architectures to improve model intelligence; execute and analyze experiments autonomously and collaboratively; study, debug, and optimize both model performance and computational performance; contribute to training and inference infrastructure.
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