over 2 years ago
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.
Categories
About Qvest US
Qvest US provides technology and business consulting plus custom software development for media and entertainment, consumer packaged goods, retail, and parks and resorts companies. Its teams deliver digital media supply chain, data and analytics, IP and rights management, broadcast transformation, Salesforce, and applied AI solutions for Fortune 1000 clients. Founded in 2013 and headquartered in Los Angeles, the company is privately held.