Hire an AI Developer Who Ships Production Code.

Hiring a Full-Time Senior AI Developer Costs $180k–$250k and Takes 4–6 Months

Engage an AI development team on a scoped project basis: faster start, predictable cost, no recruiting overhead, and production systems you own outright

A single senior AI engineer with LLM integration, RAG architecture, and AI agent experience commands $180,000 to $250,000 in annual compensation — before benefits, equity, and onboarding. And finding one takes months. For most companies, the right answer is not a full-time hire but an engagement with a specialized AI development team that can start in days, delivers on a defined scope, and transfers all intellectual property at the end. MavenUp works on fixed-scope AI projects with a team that has already shipped production LLM integrations, RAG pipelines, and AI agent systems. You get the capability without the recruiting timeline or the salary commitment. Our AI software development company model is built precisely for this use case — high-capability on-demand rather than permanent headcount.

AI Freelancers Build Impressive Demos That Never Reach Production

Production-first AI development with tests, error handling, monitoring, full documentation, and code your engineering team can maintain and extend

The gap between an AI prototype and a production system is wider in AI than in any other software domain. A Jupyter notebook proof-of-concept runs perfectly in a demo — and fails immediately when a real user sends an off-script input, the upstream API rate-limits, or the vector index grows past a certain size. Production AI systems require: retry logic for LLM API failures, fallback behavior when confidence scores are low, prompt versioning so changes do not break live users, monitoring for token costs and latency, and error tracing that surfaces why a response was wrong. MavenUp builds these from sprint one. Every AI system we deliver has error handling, observability, and test coverage because the alternative is a production incident on day one. This is why our AI agent development and generative AI solutions work is production-grade from the first delivery milestone.

Your Engineering Team Has Strong Product Developers but No LLM or AI Agent Expertise

Augment your team with AI engineers who specialize in LLMs, vector databases, RAG pipelines, and production AI agent systems — without replacing or disrupting your existing team

Building AI features requires a different skill set than building standard web software. Your React engineers are excellent at UI. Your backend engineers know your database and API layer cold. But neither group has shipped an LLM integration with proper prompt management, built a retrieval-augmented generation system that actually retrieves the right documents, or designed an AI agent with tool calling that does not hallucinate tool parameters. MavenUp AI developers integrate directly into your existing development process: we use your code repositories, follow your review process, and document everything so your team can take over. We build the AI layer; your team owns the product layer. This works particularly well for AI chatbot development, AI integration services, and custom LLM development where the AI components need to connect cleanly to existing infrastructure.