AI Backend Engineer

Workerbeeai — United States · Posted ~1 day ago

Mid Contract

Skills

Backend development AI systems API development Software engineering

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Summary ✨ AI‑Generated

An AI-focused backend engineering role involving development of services that bring intelligent models into production. Candidates should have strong backend skills and experience solving complex technical challenges.

Highlights

Flexible opportunity to work on impactful AI projects, apply hands-on engineering skills, and contribute to production-grade solutions.

Description

C2C not available | No third-party suppliers Workerbee employees will not respond to direct communication attempts via email, phone, social media, or LinkedIn regarding status within the talent network or customer needs. Any such inquiries will not receive a response. About Workerbee Workerbee connects workers with employers through trusted introductions. By joining Workerbee you can be matched for project-based, contract, or permanent opportunities with leading organizations. Over time, Workerbee helps you: Keep a living record of what you have actually accomplishedSee how your experience carries across roles and pathsExplore options without pressure to applyMove through change with clarity instead of urgency We are connected to those who hire talent and are in need of AI Backend Engineers. In this work, you will help employers solve complex problems and bring real value through hands-on expertise in backend services that carry AI models into production. Where Your Expertise Makes an Impact Build and maintain production services in Python, Go, or Node.js that expose models through versioned APIs with authentication, rate limiting, and usage meteringDesign retrieval and context pipelines that connect language models to customer data using vector stores, caching layers, and structured queriesStand up orchestration for multi-step agent and tool-calling workflows, including retries, timeouts, fallback routing, and idempotent job handlingInstrument services for token cost, latency, and failure rates so product and finance teams can weigh output quality against spendPartner with data and platform teams on schema design, queue architecture, and event streaming that keep inference workloads stable under load What Stands Out Among Top Talent 5+ years building production backend systems with REST and event-driven APIs in AWS, Azure, or Google Cloud environmentsHands-on work with LLM APIs, embeddings, and vector databases such as pgvector, Pinecone, or Weaviate, plus frameworks like LangChain or LlamaIndexStrong distributed systems grounding across queues, async processing, caching, and horizontal scalingPractical experience with containers, CI/CD, infrastructure as code, and observability toolingClear written communication and the judgment to balance accuracy, latency, and cost when there is no obvious right answer Why Join Workerbee Earlier visibility into opportunitiesBetter-fit introductionsAccess to meaningful workLess application noiseA network that improves over time Workerbee Terms of Service