Applied AI, Research Engineer
Applied AI Research Engineer who tests model capabilities, builds demos and evaluations, supports strategic customer implementations, and translates field insights into product and research direction. Requires 6+ years of technical experience, programming proficiency, LLM development experience, and strong communication skills.
About the job
Responsibilities
- Embed with product teams to become the field’s technical expert on new products and capabilities.
- Own the technical go-to-market handshake for model and product launches, including early testing, field-readiness assessments, and capability education.
- Build demos, evaluations, and prototypes that showcase customer-relevant capabilities and define performance standards for important domains.
- Create playbooks, training sessions, and reference architectures with Technical Enablement.
- Solve novel technical challenges for strategic customers and package learnings into scalable approaches.
- Synthesize customer insights, adoption patterns, blockers, and capability gaps to inform product and research roadmaps.
- Partner with Sales and Applied AI teams on high-value accounts requiring specialized domain knowledge.
- Occasionally travel to customer sites for workshops, implementation support, and research collaboration.
Requirements
- 6+ years of experience as a software engineer, technical product manager, forward-deployed engineer, AI startup founder, or similar technical professional.
- Strong proficiency in at least one programming language.
- Meaningful experience building with large language models, including LLM-powered products, agents, workflows, or production integrations.
- Experience designing evaluations, building prototypes, or developing technical enablement for complex products.
- Ability to develop domain expertise quickly and become a credible technical voice.
- Excellent communication and interpersonal skills, including the ability to explain complex topics to diverse internal and external stakeholders and executives.
- Ability to execute amid ambiguity and adapt across domains.
- Bachelor’s degree or equivalent combination of education, training, and experience.
Nice-to-haves
- Customer or end-user exposure.
- Experience translating technical discoveries into materials, training, or tools that help others succeed.
- Passion for safe and beneficial applications of AI.
Compensation
- Annual salary: $300,000–$400,000 USD.
Skills
Python, LLMs, AI Agents, AI Workflows, Llm Integration, Model Evaluation, Prototyping, Technical Enablement, Reference Architectures, Product Development
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