Qvest US

Qvest US

Staff Engineer (Applied AI / ML)

Austin, Texas · Staff+

H1B sponsorship available$80k-$400kDetected 996 days ago
PythonBackend DevelopmentFull-Stack DevelopmentGitAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDDevOpsRESTWebSocketsMachine LearningLLMsRAGAgentic AILLMOpsAI OrchestrationPRDsSalesforceSupply ChainManual Testing

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$77,3341 entry
Level II$101,9622 entries
Level III$126,5893 entries
Level IV$151,2164 entries

$21,962 more — $101,962 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $101,962 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Austin-Round Rock-San Marcos, TX. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • About the IDC The IDC is our I nnovation and D evelopment C enter.
  • We believe the best products and services are realized by knowledgeable, tight-knit teams aligned to a shared purpose and understanding.
  • Who we're seeking The Staff AI Engineer is a dual role combining technical leadership with hands-on AI engineering.

Responsibilities

  • Stakeholder Ideation: Support client discovery workshops, whiteboarding sessions, and interviews with client business and product owners to identify operational bottlenecks suitable for AI intervention.
  • Use Case Prioritization & ROI Analysis: Evaluate potential AI use cases across business impact, technical viability, data readiness, and ROI to build prioritized product roadmaps and PoC scopes.
  • Rapid Prototyping (0-to-1): Rapidly build and demonstrate working proof-of-concept (PoC) apps and interactive demos (within 2-3 week cycles) to validate value with local executive stakeholders before full investment.
  • Agentic Systems & Harness Design: Design and build robust single- and multi-agent systems, including tool use, control loops, context and state management, planning, delegation, structured outputs, and failure recovery.
  • Build the harnesses and runtime primitives that make agent behavior reliable, inspectable, and maintainable.
  • AI Evaluation, Observability & Quality: Build rigorous evaluation and observability frameworks for probabilistic AI systems, combining offline benchmarks, task-specific metrics, LLM-as-judge, human evaluation, regression testing, and production telemetry.
  • Safety, Guardrails & Reliability: Design enterprise-grade protections including moderation, PII handling, prompt-injection defenses, permission-aware tool use, fallback logic, and graceful failure modes to keep AI systems safe, predictable, and resilient in production.
  • AI Orchestration & Harness Design: Understand modern agent frameworks and when to use - or avoid - them. Be comfortable building custom harnesses and control loops when greater flexibility, reliability, or control is needed.
  • Experience managing data, including the selection of persistence product, design of database schema, constraints and transaction boundaries, read/write design trade-off decisions and how it relates to mutable vs. immutable data state

Requirements

  • Programming & API Architecture: Expert proficiency in Python and strong software engineering fundamentals, with experience designing modern stateless and stateful services for real-time, interactive, and batch workloads.
  • Cloud & DevOps: Solid experience with cloud infrastructure ( AWS, GCP, or Azure ), containerization ( Docker, Kubernetes ), and CI/CD automation.
  • Experience with typical AuthN/AuthZ methods and products
  • Bachelor's degree in engineering, information systems, computer science, business administration, or other related fields

Nice to have

  • Preferred Experience

Skills

  • About the IDC
  • The IDC is our I nnovation and D evelopment C enter.
  • Who we're seeking

Compensation

  • Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for trai

Benefits

  • Machine Learning Foundations & Model Adaptation: Bring a strong grounding in machine learning fundamentals.

Company info

  • Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards.
  • The IDC is our I nnovation and D evelopment C enter. We build custom software using modern technologies to solve complex business problems for our clients. We believe the best products and services are realized by knowledgeable, tight-knit teams aligned to a shared purpose and understanding.
  • Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries.
  • We strategize, advise, design, develop and implement future-forward business & technology solutions.
  • With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards.
  • We build custom software using modern technologies to solve complex business problems for our clients.
  • The Staff AI Engineer is a dual role combining technical leadership with hands-on AI engineering.
  • Operating at the intersection of business strategy and technical execution, this role is responsible for interfacing directly with client business stakeholders to identify, evaluate, and prioritize high-value AI opportunities - and then leading the hands-on engineering to build and deploy those solutions.
  • In this role, you will engineer agentic systems - open-loop, conversational, tool-calling, and beyond, integrate AI and machine learning models with custom enterprise AI workflows, create rigorous evaluation frameworks, and deliver end-to-end, production-ready AI products.
  • You will also support facilitation of discovery workshops, map operational pain points into structured AI specifications, and rapidly move from concept to working prototypes and production-grade software.

Visa & Work Authorization

  • We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams' skill sets and we prioritize our employees' professional growth pat
Apply directly at Qvest US →Create a free account for alerts like thisView Qvest US immigration profile

This listing is sourced directly from Qvest US's careers page and normalized into a canonical job model.