
Tech Innovator
1 day ago
**LM Workflow Engineer – Innovate and Optimize LLM Solutions
Leverage cutting-edge LangChain / LangGraph / LangServe technologies to design, wire up, and fine-tune Large Language Models (LLMs).
**API & Micro-Service Expertise
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- Develop secure, observable, and lightning-fast FastAPI endpoints for REST and streaming APIs.
- Collaborate with cross-functional teams to build scalable and maintainable microservices.
**Containerization and Deployment
Utilize Docker and Kubernetes to containerize and deploy applications efficiently. Implement automated rollbacks and alerts to ensure seamless operations.
**Mentorship and Knowledge Sharing
Mentor colleagues on best practices in LLM app engineering and DevOps. Foster a culture of knowledge sharing and collaboration.
**DevOps Expertise
Proven experience with solid DevOps practices, including Docker, basic Kubernetes, CI/CD pipelines, observability tooling, and PR hygiene.
Required Skills:
- LangChain or LangGraph expertise.
- FastAPI (or similar) for building REST/streaming APIs.
- Vector databases (Postgres/pgvector, Milvus, LanceDB).
- Serverless/edge deploys (Cloudflare Workers, AWS Lambda).
- Multi-agent planning frameworks or autonomous tool-use research.
**Preferred Qualifications:**
- Experience with lightweight fine-tuning (LoRA/QLoRA) or embedding-model selection.
- Strong Python craftsmanship and async I/O expertise.
Additional Information:
This role involves working with Large Language Models to create innovative solutions. The ideal candidate will have expertise in LangChain, LangGraph, and LangServe technologies, as well as a strong understanding of DevOps principles. If you are passionate about LLMs and eager to contribute to the development of cutting-edge AI solutions, we encourage you to apply.
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