Senior Machine Learning Engineer (GenAI)

Seattle, OR - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Need someone coming from a Software product or AI company.

Banking or any other client experience will bot be considered.

Candidate should be very strong AI Engineer with strong AI backgroud

Title: Senior Machine Learning Engineer (GenAI) 119499

Location: Seattle (hybrid) WA

Must haves:

Core Language: Python

Orchestration: LangGraph (for agentic workflows/graph generation)

Cloud Environment: Azure

Integration: Agents will interface via MCP (Mode)

Graph Database

React Native

Nice to haves:

Experience in the health industry

What Youll Do

Design build and deploy production-grade GenAI applications using techniques such as RAG agents and multi-agent systems taking solutions from prototype to scalable systems.
Partner with ML engineers and software engineers to deliver reliable scalable and maintainable AI systems.
Own key components end-to-end architecture through deployment & monitoring.
Make architectural and technical decisions (performance cost efficiency and reliability)
Translate business requirements into practical AI solutions in collaboration with product design and data teams.
Implement and improve LLMOps practices including evaluation monitoring and prompt/version management.
Conduct code reviews and uphold engineering best practices.
Evaluate and select tools frameworks and cloud services across AWS Azure and GCP.

Technical Qualifications

Strong software engineering background in Python with experience in:
- CI/CD pipelines
- Testing frameworks
- Version control (Git)
- Clean architecture and design patterns
Hands-on experience building GenAI applications in production not just prototypes.
Experience with at least one GenAI framework:
- LangChain LlamaIndex or Semantic Kernel
Experience with agent frameworks:
- LangGraph AutoGen PydanticAI (or similar)
Proven experience building and optimizing RAG pipelines including:
- Chunking strategies
- Embeddings
- Retrieval optimization
- Vector databases (FAISS Pinecone Weaviate)
Experience deploying applications on AWS Azure or GCP including:
- Containers (Docker)
- APIs / microservices
Familiarity with LLMOps and observability tools:
- Langfuse PromptLayer OpenTelemetry etc.
Experience with PyTorch Hugging Face or similar frameworks (fine-tuning is a plus)

What Sets You Apart

Experience scaling GenAI systems to real-world usage (latency cost reliability)
Strong understanding of tradeoffs in LLM design (accuracy vs cost vs speed)
Experience with evaluation frameworks and prompt experimentation
Ability to operate in ambiguous problem spaces and drive solutions independently

Need someone coming from a Software product or AI company. Banking or any other client experience will bot be considered. Candidate should be very strong AI Engineer with strong AI backgroud Title: Senior Machine Learning Engineer (GenAI) 119499 Location: Seattle (hybrid) WA Must haves: ...