7 дней назад
Senior Software Development Engineer (GenAI)
171 500 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Development Engineer (GenAI) (Python/AWS): Building and operating scalable generative AI platform services and multi-agent infrastructure with an accent on API design, cloud backend systems, AI guardrails, and production reliability. Focus on designing intelligent LLM routing, open-weight model deployments, fine-tuning pipelines, and evaluation frameworks while balancing model quality, latency, security, and cost.
Location: Chicago, Illinois, United States
Salary: $171,500–$240,000 annually, with potential pay up to $274,500 based on sustained performance.
Company
Global travel technology business connecting travelers, partners, and advertisers through consumer brands, B2B services, and travel advertising.
What you will do
- Design and evolve scalable generative AI services and multi-agent infrastructure.
- Own system design, low-level design, API contracts, data modeling, implementation, releases, and production operations.
- Build reusable, extensible, self-service platform capabilities for product and machine learning teams.
- Define grading standards for AI agents, MCP servers, and skills covering quality, safety, reliability, and production readiness.
- Design intelligent routing patterns, open-weight model deployments, and fine-tuning pipelines with the LLM Inference team.
- Track reliability, performance, adoption, operating cost, security, observability, and operational readiness.
Requirements
- Bachelor’s degree in Computer Science or a related technical field, or equivalent professional experience.
- 8+ years of relevant experience building and operating backend services and APIs with end-to-end ownership.
- Strong Python skills and production experience with FastAPI or similar modern web frameworks.
- Experience with system design, API design, data modeling, public or hybrid cloud environments, and AWS or similar cloud services.
- Experience with at least one data store, such as Aurora PostgreSQL or Elasticsearch.
- Familiarity with AI-driven systems, LLM capabilities, embeddings, or RAG patterns.
Nice to have
- Experience operating Python backend APIs at scale with performance tuning and resilience patterns.
- Hands-on experience with RAG, vector stores, LangChain, LlamaIndex, LangGraph, LangSmith, or Langfuse.
- Experience with prompt and retrieval design, embeddings management, Elasticsearch vector search, Aurora PostgreSQL, and platform guardrails.
- Background building internal platforms, SDKs, or shared services adopted by multiple product teams.
- Experience with workflow and agent orchestration tools such as n8n or Flowise and safety-by-design practices.
Culture & Benefits
- Collaboration across geographically distributed engineering, product, applied science, and domain teams.
- Medical, dental, and vision coverage.
- Paid time off and an Employee Assistance Program.
- Wellness and travel reimbursement, travel discounts, and IATAN membership.
- Inclusive and accessible recruiting and employment environment.
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