Forward Deployed Solution Engineer – Applied AI

This is a fully remote position, open to applicants in California.

📋 Description

• Develop solution-ready applications powered by LLMs, encompassing backend logic, data orchestration, and front-end user interfaces.

• Collaborate closely with customers in the field to modify, implement, and refine solutions in real-time environments.

• Create reusable assets such as libraries, prompts, and scaffolds.

• Provide feedback to platform and product teams to enhance the developer experience.

• Produce production-ready solutions through agile, end-to-end sprints.

• Design and implement APIs, orchestration pipelines, vector databases, LLM frameworks, and UI components.

• Seamlessly integrate with legacy systems and deliver solutions rapidly in uncertain environments.

• Develop scaffolds, SDKs, and documentation to facilitate success across various customers.

• Shape product strategy by leveraging field-tested insights and adaptable code.

• Lead projects from inception to completion alongside architects, product managers, and customer teams.

⛳️ Requirements

• Over 10 years of experience in software engineering.

• More than 2 years of experience in customer-facing or embedded roles.

• Proven experience in integrating AI into workflows, decision-making processes, or problem-solving tasks.

• Capability to design and implement AI-native software within production settings.

• Proficiency in backend technologies such as Python, Node.js, and Java.

• Expertise in frontend technologies like React and Angular.

• Familiarity with REST and GraphQL APIs.

• Knowledge of LangChain, Semantic Kernel, prompt chaining, vector search, and context management.

• Skills in debugging distributed systems, optimizing for latency, and implementing monitoring solutions.

• Ability to contribute to shared SDKs and tools.

• A product mindset focused on user value, MVP iterations, and long-term scalability.

• Experience with deployments in AWS, Azure, or GCP using CI/CD, containers, and infrastructure-as-code.

• Willingness to travel up to 30% for onsite embedding.

• Preferred: experience with AI integration into SaaS platforms like ServiceNow or Salesforce.

• Preferred: experience with production deployments in secure, regulated enterprise environments.

• Preferred: contributions to developer experience tools, frameworks, or reusable AI scaffolds.

🏝️ Benefits

• Health plans.

• Flexible spending accounts.

• 401(k) Plan with company match.

• Employee Stock Purchase Plan (ESPP).

• Matching donations.

• Flexible time-off policy.

• Family leave programs.

• Equity (when applicable).

• Variable/incentive compensation.