Lead AI Engineer: Client-Facing Production LLMs

Proxify AB; Stockholms kommun; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

Proxify AB in Stockholm is seeking an experienced AI engineer to drive client projects from discovery to production. You will lead engineers, define technical direction and ensure successful delivery within the client's environment.

You’ll work hands-on most of the week, collaborating with a Senior AI Product Manager, and communicate with clients in professional English to explain complex decisions clearly.

Qualifications

• 5+ years in software engineering with CS, ML and Gen AI background.
• Track record shipping LLM, RAG and agentic systems to production.
• Hands-on with RAG pipelines, multiple LLM providers and LangChain/vLLM/PyTorch or TensorFlow.
• Strong Python and solid engineering habits; containerized deployments on AWS, GCP or Azure.
• Able to pick up unfamiliar code and work inside another stack.
• Consultative approach; start from client problem, not just the tool.
• Strong professional English communication; can explain tech to non-coders.
• Self-directed and proactive; can run with a brief without supervision.

Responsibilities

• Deep-dive into client architectures, data and integrations.
• Turn a scoped brief into an agentic system end-to-end in the client environment.
• Lead project engineers and set technical direction.
• Be the day-to-day technical contact for clients with updates and questions.
• Manage multiple projects, surface scope changes early.

Skills

Software engineering

Machine learning

Generative AI

LLM deployment

RAG pipelines

LangChain

PyTorch

Python

AWS/GCP/Azure

English communication

Education

Computer Science degree

ML/AI background

Tools

LangChain

vLLM

PyTorch

TensorFlow

OpenAI API

Docker

Job description

Proxify AB in Stockholm is seeking an experienced AI engineer to drive client projects from discovery to production. You will lead engineers, define technical direction and ensure successful delivery within the client's environment.

You’ll work hands-on most of the week, collaborating with a Senior AI Product Manager, and communicate with clients in professional English to explain complex decisions clearly.