Senior Backend Engineer (Go), generative image and video, AI product

New Wave Devs

Location
Remote
Employment
Full-time
Level
Specialist
Category
Data Science & ML
Posted
Deadline

Description

We are New Wave Devs, a senior engineering team. We are hiring a Senior Go engineer to join our client long term, a Dutch AI company that builds creative tools, on the backend of their product for creators.

It is a fast-paced product team. New image and video models go into production within a day or two of release. You will own real pieces of the backend and work directly with their engineers.

What you will do:

  • Design and scale Go microservices that manage the lifecycle of AI generations: image, video, audio, 3D, vector
  • Build and run generation pipelines around production image and video models, from ComfyUI workflows to hosted model APIs
  • Run long, resource-heavy generation jobs as durable workflows (Temporal or similar): queues, backpressure, retries, resumable steps
  • Work with AWS (EKS, S3, Lambda), Kafka and SQS for async processing, ConnectRPC / gRPC / GraphQL
  • Bridge model outputs into user-facing creative workflows

You should have:

  • 5+ years backend, Go-first
  • Hands-on work with generative image or video models, at your job or in your own projects: ComfyUI, Stable Diffusion, Flux, video models or similar. Tell us what you built
  • Long-running jobs or durable workflows in production: Temporal, Cadence, AWS Step Functions or similar
  • AWS (EKS/K8s), Kafka or SQS, gRPC/ConnectRPC, microservices at scale
  • Ownership mindset, comfortable when specs are not perfect, able to switch between shipping fast and building for scale
  • Real interest in the product itself. The client asks about it directly
  • Good English, daily work with the client team

Nice to have:

  • LLM or RAG work in production: LangChain, LangGraph, pgvector or similar

We offer: long-term full-time contract through New Wave Devs, competitive rate, fully remote, fast start, days not weeks. A technical interview with our CTO, then a call with the client's engineers, with screen share and real code.

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