Payrate: $70.00 - $75.00/hr.
Summary:The Enterprise AI team is Company's internal AI enablement engine. We evaluate where AI can make a real difference, build the platforms and patterns that make adoption easy, and help engineering teams across the organization work smarter and faster. We operate at the intersection of applied AI, distributed systems, and enterprise operations to make Company more efficient, one AI-powered workflow at a time.
This is a high-impact, high-autonomy team where you'll work closely with engineering, product, and operations teams across Company to bring AI capabilities to life.
Responsibilities- Evaluate where AI fits, build tools and platforms that make it practical, and enable teams across Company to adopt modern AI development patterns including LLM orchestration, agentic workflows, and model governance.
- Think AI-first: assess where agentic approaches genuinely outperform conventional solutions, then own the quality bar by building automated evaluations, simulation tests, and regression frameworks.
- Design agentic systems, including tool orchestration, agent reasoning, memory, MCP integrations, and human-in-the-loop workflows.
- Define and implement AI governance patterns, ensuring systems are safe, compliant, and trustworthy.
- Drive adoption through pilots, proofs-of-concept, and scalable implementations across engineering teams.
- Collaborate with business functions, product, security, and platform teams to translate AI use cases into production-grade solutions.
Qualifications- 5 years of professional software engineering experience, with at least 2 years focused on applied AI in production systems.
- Proficient in Python and/or Go; comfortable reading and writing in the other.
- Proven experience building and scaling multi-agent or agent-driven systems in production.
- Hands-on experience with modern agent ecosystems, including frameworks, observability and evals tooling, MCP implementations, and leading AI SDKs.
- Strong systems and backend architecture fundamentals.
- Good understanding of cloud-native environments (GCP and/or AWS).
- Experience designing and integrating with enterprise APIs, including authentication and authorization patterns.
- Strong cross-functional collaborator and communicator.
- A force-multiplier on the team, raising the bar for clarity of thinking, system design standards, and team execution.
Skills- Experience with AI evaluation tooling.
- Experience building custom MCP servers.
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- AI-native builder with high velocity and ownership.
- Hands-on experience with inference cost optimization.
- Experience using AI-powered coding agents to accelerate development workflows.
- Experience with RAG architectures and document retrieval pipelines.
Pay Transparency: The typical base pay for this role across the U.S. is: $70.00 - $75.00/hr. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.
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