Gen AI Engineer

Siri InfoSolutions Inc

Seattle (WA)

On-site

USD 120,000 - 160,000

Full time

11 days ago
Application generator

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Job summary

Siri InfoSolutions Inc is seeking a senior AI/ML engineer to design and deliver production-grade AI/LLM applications in a fast-paced enterprise environment. You will architect data flows, build services with Python (FastAPI/Flask), and lead AI initiatives across teams.

Candidates should have deep expertise in AI architecture, data platforms, and experience with APIs, microservices, and cloud platforms. Strong communication with stakeholders is required.

Qualifications

  • Experience with Generative AI, LLMs and RAG.
  • Strong data engineering, analytics and SQL fundamentals.
  • Experience with APIs, microservices and cloud platforms.
  • Familiarity with LangChain, LangGraph or similar LLM frameworks.
  • Deep understanding of AI and data architectures; enterprise integration.
  • Excellent communication and stakeholder management skills.

Skills

Generative AI / LLM / RAG
Agentic AI / AI Agents / Agent Orches
Data Engineering & Analytics
SQL & Data Platforms
APIs, Microservices, Cloud
LLM frameworks (LangChain/LangGraph)
AI architecture & data architecture
Communication & stakeholder mgmt
Python development (FastAPI/Flask)
Production-grade AI/LLM apps
Concurrency & async programming
Testing & production support
System reliability & design leadership

Job description

Job Description
Required Skills
  • Generative AI / LLM / RAG
  • Agentic AI / AI Agents / Agent Orchestration
  • Strong Data Engineering & Analytics
  • SQL and modern data platforms
  • Experience with APIs, microservices, and cloud platforms
  • Experience with LLM frameworks such as LangChain, LangGraph, or similar
  • Strong understanding of AI architecture, data architecture, and enterprise integration
  • Excellent communication and stakeholder management skills.
  • Strong Python development with FastAPI or Flask.
  • Experience building production-grade AI/LLM applications.
  • Solid SQL, data modeling, and data engineering fundamentals.
  • Expertise in concurrency, asynchronous programming, and performance optimization.
  • Experience with testing, production support, and system reliability.
  • Strong architectural design and technical leadership skills.
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