2 months ago
Chicago, IL, USA +4 moreSenior
Base Salary
$125k - $186k/yr
Responsibilities
- Drive AI innovation and rapid experimentation involving agentic workflows, reasoning approaches, evaluation methods, and emerging techniques.
- Design and execute timeboxed pilots with hypotheses, success metrics, and kill-or-scale decision points.
- Enhance enterprise AI patterns such as retrieval-augmented generation, text-to-SQL, evaluation and observability, and guardrails.
- Build reference implementations and handoff documentation for successful experiments in partnership with the Central AI team.
- Develop secure, observable, cost-aware AI architectures within the AWS ecosystem using strong software engineering practices.
- Design and interpret LLM evaluations covering task success, faithfulness, hallucination analysis, cost, and latency.
- Develop and evaluate agentic systems involving tool use, memory strategies, multi-agent orchestration, and reliability techniques.
- Communicate technical findings, business impact, tradeoffs, and recommendations through demos and concise readouts.
- Evaluate emerging AI tools, frameworks, vendor offerings, external research, and open-source trends.
- Support priority project work focused on de-risking and accelerating delivery.
Requirements
- 8+ years of software engineering experience or equivalent delivering production-quality systems.
- Expert Python skills including clean architecture, testing, packaging, performance, and reliability.
- Strong AWS architecture and development experience involving security/IAM, networking, serverless or containers, monitoring/logging, and cost controls.
- Strong SQL, data modeling, and API/integration-pattern experience, with the ability to incorporate RAG and text-to-SQL into real solutions.
- Demonstrated rigor in hypothesis-driven experimentation, evaluation planning, metrics, timeboxing, and pragmatic decision-making.
- Clear communication with technical and business stakeholders, including storytelling and influence through results.
- Bachelor’s degree in Computer Science or Engineering, or equivalent practical experience.
- Hands-on experience with modern LLM application stacks, abstraction tradeoffs, portability, and maintainability.
- Preferred: experience with Dataiku DSS and operationalizing analytics or AI workflows, with LLMOps experience as a plus.
- Preferred: experience building evaluation harnesses with golden sets, regression testing, and error analysis, and partnering on risk or safety reviews.
- Preferred: exposure to OpenAI AgentKit, ChatKit, Apps SDK, and MCP.
- Preferred: experience transitioning prototypes into enterprise-ready patterns with platform and delivery teams.
Benefits
- Full-time US roles include healthcare, dental, and vision insurance for employees and eligible dependents.
- 401(k) retirement plan with a company match of 50% up to 12% of eligible compensation.
- Generous PTO starting at 22 days per year, plus paid holidays and volunteer time.
- Additional wellness, financial, and work/lifestyle-specific benefits are offered.
- The role is full time and located in San Francisco, with additional locations in Chicago, Denver, Los Angeles, and Phoenix.
Categories
About Prologis
Prologis is a public logistics real estate company that develops, owns, and leases industrial warehouses and distribution facilities for e-commerce, retail, and logistics customers. It also provides operations, energy, mobility, and warehouse solutions that support tenants’ supply chains. Founded in 1983 and headquartered in San Francisco, it operates globally and trades on the NYSE as PLD, with a portfolio exceeding one billion square feet of logistics space.