Forward Deployed Engineer - AI Engineer

About the role

We are seeking a core member of Reflection’s Applied AI team to drive our Forward Deployed Engineering efforts with enterprise customers. This team translates advanced AI research into impactful, real-world applications.

Responsibilities

• Partner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.
• Build agentic systems using state-of-the-art models, orchestrating LLM workflows, integrating with enterprise infrastructure, and deploying reliable production systems.
• Collaborate with research teams to adapt and fine-tune models for customer-specific needs.
• Support end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), ensuring scalability, performance, and reliability in production.
• Contribute to evolving playbooks, processes, and best practices as part of a growing Forward Deployed Engineering organization.

Requirements

• Strong software engineering background with experience shipping production-grade systems (Python, TypeScript).
• Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).
• Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.
• 3+ years of software engineering experience delivering AI-driven enterprise solutions (e.g., Forward Deployed Engineer, Software Engineer, or Applied AI Engineer).
• Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.
• Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.

Qualifications

• Experience with Python and TypeScript.
• Knowledge of Docker, Kubernetes, and CI/CD practices.
• Hands-on experience with machine learning and AI technologies.
• Experience with enterprise software deployment in cloud or hybrid environments.
• Ability to work in a fast-paced, startup environment.

Skills

• Software engineering skills (Python, TypeScript).
• DevOps practices (Docker, Kubernetes, CI/CD).
• Machine learning concepts and hands-on experience.
• Enterprise software deployment experience.
• Customer-facing problem-solving skills.

Benefits

• Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
• Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
• Health & wellness: Comprehensive medical, dental, vision, and life insurance, with an annual wellness allowance.
• Meals: Lunch and dinner are provided in the office daily.
• Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
• Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
• Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
• Team building: We have regular off-sites, happy hours, and team celebrations.

Pay

Competitive salary and equity structure.

Schedule

Full-time position.