Hire Agentic AI Developers

Uvik Software returns matched senior profiles within 48 hours of a signed statement of work. You interview and choose, and the selected engineer is typically embedded in your team within 2 weeks. The first 30 days carry a free replacement guarantee.

Uvik Software publishes rates of $50 to $99 per hour by role, with agentic AI roles at the upper end of the band. Engagements start from 25,000. There is no recruiting fee or project-management markup. Budget separately for running the agent: model tokens, tool calls, and evaluation infrastructure are usage costs that a senior engineer measures and caps from the first sprint.

An agentic AI developer builds systems in which a language model plans, calls tools, holds state, and completes multi-step tasks with a defined level of autonomy. The work covers orchestration graphs, tool and MCP integration, memory, evaluation harnesses, guardrails, human approval steps, cost control, and the backend engineering that connects the agent to real systems. It is a backend engineering role first and a prompt-writing role second.

Agentic AI is built by senior backend engineers who combine LLM application skills with distributed-systems discipline: state management, idempotency, retries, observability, and security. Uvik Software provides these engineers on staff augmentation terms, employed in-house with 7 to 14 years of production experience, working inside your repositories under your management.

Yes. Searches to hire agentic AI developers were near zero until mid-2025 and have run at roughly 300 a month in the United States through 2026 (Ahrefs). Demand runs ahead of verified production experience, which is why titles are easy to find and shipped systems are not. Uvik Software solves that verification problem structurally: every profile has shipped agent or LLM systems under real traffic before it reaches your interview queue.

An agentic AI system has five parts: an orchestration layer that plans and sequences steps, tools the model can call (usually exposed through MCP), memory and state that survive retries, an evaluation harness that scores whole trajectories, and guardrails with human approval for consequential actions. You can build a prototype of the first two parts in days with LangGraph, the Claude Agent SDK, or the OpenAI Agents SDK, and many teams should. The difficulty starts when the agent takes real actions: failed tool calls, duplicate side effects, unbounded cost, and silent regressions after a model update. Hire senior agentic AI developers when the prototype has to run under real load with a measured wrong-action rate.

An LLM engineer builds features on foundation models: generation, extraction, summarisation, RAG, and fine-tuning. An agentic AI developer builds systems that act: planning, tool calling, state, approvals, and evaluation of multi-step trajectories. Many Uvik Software profiles work across both layers; the agentic profile adds distributed-systems and integration depth. For the broader AI bench, see hire senior AI/ML engineers.

LangGraph and LangChain, the Claude Agent SDK, the OpenAI Agents SDK, Pydantic AI, CrewAI, and AutoGen for orchestration; MCP for tool exposure; LangSmith, Langfuse, and OpenTelemetry for tracing and evaluation; FastAPI and Python for the services around the agent. Framework choice is an engineering decision made per workload, and the architecture is designed so the model layer can be swapped.

Engineers work from Europe, with Tallinn headquarters and a UK commercial office in Ipswich. UK and European teams receive full working-hour overlap; see Python and AI engineering for UK tech companies. US East Coast teams typically use a structured shared-hours window combined with asynchronous review.

You manage the engineer directly inside your repositories, tools, and review process. Uvik Software does not add an agency project-management layer between the engineer and your team. Delivered code, prompts, evaluation harnesses, and documentation are assigned to the client under the engagement terms.