Senior AI Engineer
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Location: United States; the stated salary range applies to the Playa Vista, California location, while is a multi-state employer.
Salary: $179,000β$241,000 base annually for candidates working in Playa Vista, California.
Company
operates an AI-powered commercial real estate platform covering market intelligence, property marketing, deal management, and auctions.
What you will do
- Design and implement multi-step agentic workflows with routing, planning, tool use, memory, and state management using LangGraph or LangChain.
- Build retrieval and context pipelines over proprietary commercial real estate data, including RAG, embeddings, and vector search.
- Develop evaluation frameworks, offline evaluations, production monitoring, and human-in-the-loop annotation processes.
- Work with Anthropic models on AWS Bedrock and Bedrock AgentCore, while evaluating open-weight alternatives for cost, latency, and capability.
- Implement guardrails, structured outputs, ambiguity handling, explainability, source linking, and trace-level observability across LLM and tool calls.
- Prototype with Product and Design based on user feedback and convert successful solutions into scalable, reusable production capabilities.
Requirements
- 5+ years of professional software development experience in production environments, including 2+ years building LLM-powered applications in production.
- Practical experience with agentic architectures, multi-step pipelines, tool or function calling, state machines, and memory.
- Strong Python skills and experience building production backend services and APIs.
- Experience designing retrieval systems with RAG, embeddings, and vector search.
- Experience with cloud infrastructure, preferably AWS, plus GitHub or GitLab, code reviews, and CI/CD.
- Bachelorβs degree in Computer Science or a related field, or equivalent practical experience.
Nice to have
- Experience with LLM evaluation pipelines, production monitoring, and human-in-the-loop annotation.
- Experience evaluating open-weight AI models and using agentic coding tools such as Claude Code or Codex.
Culture & Benefits
- Fast-paced environment with rapid iteration and cross-functional collaboration.
- Flexible team structure with opportunities for career progression.
- Health, dental, and vision insurance.
- Collaborative culture and regular team activities.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β