over 2 years ago
Remote, United States or Austin, TX, USAStaff+
Base Salary
$80k - $400k/yr
Responsibilities
- Facilitate client discovery workshops and identify, prioritize, and scope high-value AI opportunities.
- Translate business requirements into product requirements, technical specifications, prompt criteria, and evaluation plans.
- Rapidly build proof-of-concept AI applications and evolve successful prototypes into reliable production systems.
- Design and implement single- and multi-agent systems, tool use, control loops, context management, planning, delegation, and failure recovery.
- Build full-stack products, backend services, APIs, data infrastructure, cloud deployments, retrieval systems, and enterprise integrations.
- Develop evaluation, observability, regression testing, telemetry, safety, moderation, PII handling, prompt-injection defenses, and permission-aware tool-use capabilities.
- Apply machine learning fundamentals, model adaptation, dataset preparation, training pipelines, and model evaluation where appropriate.
- Engage directly with client and executive stakeholders, demonstrate work, gather feedback, and provide technical product leadership.
Requirements
- 7+ years of software engineering or technical product engineering experience.
- At least 1 year building and deploying generative AI or LLM applications in production.
- Expert proficiency in Python and strong software engineering fundamentals across real-time, interactive, and batch services.
- Experience with REST, WebSockets, MCP, streaming APIs, event-driven architectures, and modern API integration patterns.
- Experience using spec-driven AI development tools and agentic IDEs such as Cursor, Codex, and OpenCode.
- Experience designing retrieval systems with embedding search, hybrid retrieval, metadata filtering, reranking, and agentic search.
- Experience with AWS, GCP, or Azure; Docker; Kubernetes; and CI/CD automation.
- Experience with authentication and authorization methods and products, persistence selection, database schema design, transaction boundaries, and mutable versus immutable data decisions.
- Experience balancing feature delivery and technical debt while maintaining software quality.
- Demonstrated client-facing or internal product leadership, discovery workshop facilitation, requirements gathering, and executive communication.
- Bachelor's degree in engineering, information systems, computer science, business administration, or a related field.
- Preferred experience operating enterprise AI/ML systems in production and managing their reliability, security, governance, and integration requirements.
- Preferred experience with Media & Entertainment, digital media supply chains, enterprise content automation, multimodal media, GitHub Copilot, Claude Code, or rapid AI prototyping.
Benefits
- Medical, dental, and vision benefits.
- 401k matching and flexible vacation.
- Employer-sponsored training and professional growth opportunities.
- Remote or hybrid work may be permitted for some projects, but client-site attendance is required when project needs, client requests, or management directives require it.
- Travel to client sites may be required, including outside the employee's primary office location, state, or region.
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