The Forward Deployed Engineer will lead deployments of autonomous systems, ensuring performance and reliability while collaborating with customers and engineering teams.
About the Job
As a Forward Deployed Engineer at Field AI, you’ll be at the forefront of bringing our autonomous systems to life in the real world, owning deployment, integration, and ongoing performance in the field. This role is equal parts engineering and problem-solving. You’ll work hands-on with both customers and our internal teams to ensure successful operations, rapidly incorporate field feedback to improve reliability and performance, and drive adoption so our systems become mission-critical from day one. If you thrive in fast-paced, high-impact environments and want to see your work directly enable the future of autonomy, this is the role where you’ll make it happen.
What You’ll Get To Do
- 1. Field Deployment & Operations
- Lead the end-to-end deployment of autonomous systems in customer environments.
- Ensure systems are configured, tested, and operational under real-world conditions.
- Troubleshoot and resolve technical issues quickly to maintain uptime and mission success.
- 2. System Reliability & Performance
- Gather and analyze field feedback to identify areas for improvement.
- Work closely with product and engineering teams to drive enhancements into the core system.
- Implement monitoring and diagnostic tools to ensure sustained reliability.
- 3. Customer Enablement & Adoption
- Partner with customer teams to train and support operators in achieving operational readiness.
- Translate complex technical concepts into clear, actionable workflows.
- Act as a trusted advisor to accelerate adoption and long-term value realization.
- 4. Cross-Functional Collaboration
- Serve as the voice of the customer, bringing field insights back to engineering and product teams.
- Collaborate across software, hardware, and AI research groups to deliver integrated solutions.
- Contribute to building scalable deployment practices and playbooks for future rollouts.
What You Have
- Master’s degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related technical field (or equivalent practical experience).
- 2-3 years of experience in software engineering, systems integration in Field Robotics industry.
- Experience in field deployment of complex technical systems.
- Proficiency in Python, C++, Git, ROS.
- Familiarity with Linux-based systems, containerization, and cloud infrastructure.
- Strong troubleshooting and debugging skills across software, hardware, and networking layers.
- Self-starter mindset with the ability to thrive in ambiguous and rapidly changing environments.
The Extras That Set You Apart
- Experience deploying, operating, or maintaining mission-critical systems in real-world environments.
- Experience using Jira or Wrike or Confluence or other program management software tools
- Ability to work directly with customers in high-stakes, fast-paced settings, translating needs into technical solutions.
- Excellent communication skills, with the ability to explain technical concepts to non-technical users.
- Willingness to travel and work on-site with customers as needed.
Similar Jobs
Artificial Intelligence • Machine Learning • Generative AI
Lead end-to-end production deployments of frontier AI models for strategic customers. Responsibilities include discovery, technical scoping, system design, full-stack development, customer collaboration, adoption guidance, production rollout, and deployment optimization. The role also contributes production code, creates reusable tools and playbooks, manages delivery trade-offs, and provides feedback to Research and Product teams. Business-level Korean fluency, customer-facing engineering experience, and approximately 50% travel are required.
Top Skills:
Backend DevelopmentFrontend DevelopmentGenerative AiJavaScriptLarge Language Models (Llms)Python
Software
Deploy and customize AI-powered search, RAG, and knowledge solutions for enterprise customers across Singapore and APAC. The role involves integrating structured and unstructured data, developing LLM-powered applications, optimizing search relevance, supporting cloud and on-premise deployments, troubleshooting production environments, and advising customers. The engineer collaborates with Product, Engineering, Sales, and Delivery teams while managing multiple technical engagements.
Top Skills:
Agentic AiAWSAzureConfluenceElasticsearchGenerative AiGitGCPJavaScriptJIRAKnowledge GraphsLinuxLlm ApisMachine LearningNlpOpensearchPythonRagRdfRest ApisSemantic SearchSkosVector Search
Artificial Intelligence • Information Technology • Software
Own enterprise customer projects across APAC from requirements through production. Build and deploy voice AI and LLM applications, develop integrations using Python and JavaScript, deliver technical demos, and collaborate with customers, Sales, Product, and Engineering. Identify product gaps, solve complex technical problems, and help expand Retell AI’s presence in APAC. Mandarin and English fluency, customer-facing technical experience, and travel across APAC are required.
Top Skills:
JavaJavaScriptLlmNode.jsPythonVoice Ai
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
