Senior Staff Engineer, Software Autonomy (R5125)
The Senior Staff Software Engineer, Autonomy functions as a hands-on technical lead and subject matter expert, collaborating with teammates and customers to build edge-AI and autonomy software for platforms across sea, air, and space. Responsibilities include working closely with customers to understand requirements, writing code, developing new capabilities, and ensuring successful software/hardware integration. The role involves mentoring teammates, designing tactical autonomy algorithms for unmanned aircraft to perform complex missions across various domains, developing high-performance software modules for planning, decision-making, and behavior execution in dynamic and adversarial environments, implementing and testing behavior architectures for multi-agent coordination and target engagement, and integrating hybrid autonomy approaches blending classical and learning-based methods. The engineer will collaborate with cross-functional teams to ensure seamless integration on real-world platforms, deploy capabilities to platforms, participate in field tests and flight demos, analyze mission data to diagnose failures and optimize models, contribute to R&D and autonomy roadmapping, support defense-focused programs and customer needs by adapting solutions, provide software handover and training to customers, and develop and maintain technical documentation. Travel is required for deployment, training, and flight testing, typically around 10-15% to different office locations and ~30% for customer site visits.
Robotics Software Engineer
The Robotics Software Engineer will help develop and grow the data collection labs, owning the entire integration lifecycle including identifying and sourcing new hardware and collaborating with mechanical and electrical engineers on setup, software integration, and operational deployment. They will develop innovative robot control interfaces suited to a variety of morphologies, environments, and tasks, collaborate closely with research and engineering teams to develop automation tools and machinery that facilitate the evaluation of advanced robotic policies, and lead the design and implementation of data collection, visualization, and quality control processes.
Technical Program Manager, Platform
As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, supporting 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 by 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 end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components from APIs to UI to maintain a responsive and production-ready environment. You will build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring reliability. You will manage the technical lifecycle within diverse regulatory frameworks and lead the response for production issues in mission-critical environments to ensure rapid resolution and build guardrails to prevent recurrence. You will translate deep technical performance metrics into clear insights for senior international government officials and partner with Engineering and ML teams to ensure lessons learned influence the technical architecture and decisions of future use cases.
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.
Staff Engineer, Distributed Storage and HPC & AI Infrastructure
As an AI Infrastructure Engineer, the responsibilities include participating in an on-call rotation to respond to production incidents, building and running infrastructure using Ansible, Terraform, and Kubernetes to enable scaling for many 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 concerning reliability, performance, and availability, and planning the growth of Together AI's infrastructure.
Manager, Partner AI Deployment Engineering - AWS
Lead, mentor, and grow a team of AI Deployment Engineers supporting strategic AWS partner engagements and customer deployments. Define the operating model, engagement strategy, and technical priorities for the AWS Partner ADE pod. Partner closely with AWS partner leadership, solution architects, delivery organizations, and customer stakeholders to accelerate production adoption of OpenAI technologies. Guide teams through complex generative AI and traditional ML deployments, including architecture reviews, implementation planning, security considerations, evaluation strategies, and operational readiness. Serve as a senior technical escalation point for critical partner and customer engagements. Collaborate with Product, Research, and Engineering teams to synthesize partner feedback into platform improvements, tooling enhancements, and deployment best practices. Develop scalable enablement frameworks, reference architectures, and repeatable deployment patterns to improve partner effectiveness and reduce time-to-production. Drive operational excellence including resource planning, prioritization, hiring, onboarding, performance management, and career development. Act as an external thought leader on enterprise AI deployment, cloud-native AI architectures, and responsible AI adoption within the AWS ecosystem.
Senior Software Engineer, AI
As a Senior Backend & AI Engineer, the responsibilities include designing, developing, deploying, and operating business-critical AI features. The role involves collaborating on requirements analysis to design technical and business solutions, proposing innovative solutions by staying ahead of AI trends and technologies, owning key responsibilities in the design, architecture, and end-to-end delivery of AI-driven modules, and writing clean, scalable, and maintainable code with proper testing, deployment, and monitoring. Additional duties include continuously improving code quality by refactoring, debugging, and enhancing performance, contributing to building secure, high-quality AI solutions for customer experience, optimizing product and platform performance with live site monitoring, and participating in an on-call rotation to handle critical incidents and maintain system uptime.
Software Engineer, Computer Vision and Deep Learning
Developing new computer vision algorithms with founders in C/C++ and Python for solving challenging real-world problems, coming up with large scale data collection techniques for training Deep Neural Nets, driving the development of new algorithms that dramatically improve existing methods, researching and maintaining state-of-the-art ML/CV algorithms that can analyze images, and coding full-stack building products from end to end.
AI Solution Consultant
Lead post-sales implementations end-to-end including discovery, design, build, UAT, launch, and hypercare, owning scope, delivery, customer enablement, and business impact. Build and integrate production AI agents with customer systems via REST/GraphQL, webhooks, and events; handle authentication such as OAuth2/JWT, data mapping, and robust error handling. Configure agent workflows, prompts, tools, and retrieval/RAG; establish evaluation, guardrails, and reliability standards for quality and safety. Develop lightweight Python automations and custom connectors/middleware to meet integration needs. Set up observability including logging, metrics, tracing, and alerting, and create clear runbooks, playbooks, and technical documentation. Provide Tier 2/3 troubleshooting and root-cause analysis; drive durable fixes and continuous improvement post-go-live. Enable and train customers to be self-sufficient builders on the Relevance AI platform through workshops, onboarding, co-development sessions, and best practices sessions. Act as a strategic partner by channeling customer insights to Product, influencing roadmap and reusable solution patterns. Identify expansion opportunities with Customer Success based on delivered value and measurable outcomes. Support implementation efforts pre-sales (approximately 20%) with targeted discovery, use case selection, and implementation planning.
Technical Program Manager, Enterprise
As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for international government partners. You will own the production outcome by 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 end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. You will scale the feedback loop by building automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. You will manage the technical lifecycle within diverse regulatory frameworks to navigate global compliance. You will lead the response for production issues in mission-critical environments as incident command, ensuring rapid resolution and building guardrails to prevent recurrence. You will translate deep technical performance metrics into clear insights for senior international government officials, and drive product evolution by partnering with Engineering and ML teams to ensure lessons learned in the field influence the technical architecture and decisions of future use cases.
Access all 4,256 remote & onsite AI jobs.
Frequently Asked Questions
Need help with something? Here are our most frequently asked questions.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.