over 2 years ago
Responsibilities
- Lead client discovery workshops, stakeholder interviews, use-case prioritization, ROI analysis, and product roadmap development for AI initiatives.
- Translate business and functional requirements into product requirements documents, technical specifications, and prompt and evaluation criteria.
- Rapidly prototype AI applications and evolve successful proofs of concept into reliable, secure, maintainable production systems.
- Design and build single- and multi-agent systems, agent harnesses, control loops, tool use, state management, planning, delegation, and failure recovery.
- Develop full-stack products spanning front-end experiences, backend services, APIs, data infrastructure, and cloud deployment.
- Build retrieval, semantic and hybrid search, reranking, metadata filtering, grounding, and enterprise integrations.
- Apply machine learning fundamentals, dataset preparation, fine-tuning, LoRA/PEFT, training pipelines, and model evaluation when appropriate.
- Build evaluation, observability, telemetry, safety, moderation, PII handling, prompt-injection defense, permission-aware tooling, and fallback systems.
Requirements
- 5+ years of experience in software engineering or technical product engineering.
- At least 1 year of experience building and deploying generative AI or LLM applications in production.
- Expert proficiency in Python and strong software engineering fundamentals for real-time, interactive, and batch services.
- Experience designing modern stateless and stateful services and working with REST, WebSockets, MCP, streaming APIs, and event-driven architectures.
- Hands-on experience with spec-driven AI development tools and agentic IDEs such as Cursor, Codex, and OpenCode.
- Experience with AI orchestration, custom agent harnesses, retrieval systems, embedding search, hybrid retrieval, metadata filtering, reranking, and agentic search.
- Solid experience with AWS, GCP, or Azure, plus Docker, Kubernetes, and CI/CD automation.
- Ability to engage clients, facilitate discovery workshops, extract requirements, pitch technical solutions, and communicate with executive audiences.
- Preferred experience includes enterprise AI/ML operations, consultant or client innovation environments, media and entertainment, multimodal media, and tools such as GitHub Copilot and Claude Code.
Benefits
- Medical, dental, and vision benefits are offered.
- 401(k) matching is offered.
- Flexible vacation is offered.
- The company sponsors training and supports professional growth.
- Travel to client sites may be required, including outside the employee’s primary office location, state, or region.
- Remote or hybrid work may be permitted for some projects, but client needs may require onsite work.
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.