Hire Prompt Engineers | Vetted GenAI Talent

Hire vetted prompt engineers across prompt design and optimization, model evaluation, retrieval and agent systems, and multi-model GenAI work, matched to your stack and ready to interview. Choose full-time or part-time engagement, and DOIT delivers a shortlist pre-vetted on LLM work across GPT, Claude, Mistral, and open-source stacks.

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What can DOIT prompt engineers do?

Hire prompt engineers across the work production AI teams ship every day, including prompt design, evaluation, RAG, agents, cost control, and structured outputs.

Prompt design with modern techniques

Design task-specific prompts using few-shot learning, chain-of-thought reasoning, ReAct patterns, and structured output formats. Hire a prompt engineer to iterate prompts against measured quality bars and maintain versioned prompt documentation your team can audit.

Prompt evaluation and testing frameworks

Catch quality problems in your AI outputs before they hit users. Hire prompt engineers who set up evaluation harnesses with OpenAI Evals, golden-set scoring, A/B experiments, and automated regression checks so your AI features ship against measurable accuracy targets.

RAG system prompting

Anchor AI responses in your own documents and data so users get answers backed by real sources. Hire prompt engineering developers to build RAG pipelines on vector databases like Pinecone, Weaviate, pgvector, and similar stores, with relevance filtering and citation-formatted outputs.

LLM agents and orchestration

Let AI work through multi-step jobs on its own, picking the right tool and the right service at each step. Hire AI prompt engineers experienced in agent frameworks like LangChain, LangGraph, AutoGen, and CrewAI, for product features that go beyond single chat turns.

Token cost optimization

Cut your AI bill while keeping output quality high. Hire dedicated prompt engineers who pick the right model for each job, compress prompts, cache common responses, and tune retrieval to keep your AI costs predictable as usage scales.

Structured outputs and function calling

Turn LLM answers into clean, structured data your product can use directly. Hire prompt engineers to set up function calling and schema-enforced outputs so AI responses land as reliable inputs for your backend, ready to ship in product code.

Meet DOIT prompt engineers for hire

1.5%

Top vetted prompt engineers DOIT places

Risk-free matching

with a talent guarantee and free replacement if needed

3-5 days

Average wait for first
relevant prompt engineer profiles

Gain access to a vetted network of 180+ prompt engineers with hands-on experience in prompt libraries, chains, system prompts, and advanced AI workflows. Get a ready-to-hire shortlist matched to your requirements and preferred time zone overlap.

Teodor

Prompt engineering developer

$55/hour

Cluj-Napoca, Romania

Availability:

Full-time

Tech stack: GitHub Copilot, GPT, Claude, OpenRouter, LangChain, TypeScript, Node.js, Docker, Terraform, GitHub Actions, Azure, n8n, Bash

A prompt engineering developer with over 5 years of commercial experience across DevOps automation and GenAI workflows. Builds prompt-driven automations for CI/CD pipelines and deployment reports, with GPT and Claude wired into existing ITSM tooling. Implements contextual code-review prompts in GitHub Copilot and internal prompt libraries shared across DevOps teams. Has experience integrating LLM agents into incident triage and shipping shared prompt libraries.

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Availability:

Full-time

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Denys

Prompt engineer

$50/hour

Lviv, Ukraine

Availability:

Full-time

Tech stack: GPT, Claude, Gemini, Mistral, LangChain, Python, FastAPI, Pinecone, Weaviate, SQL, Google Colab, Git

A prompt engineer with over 6 years of Python automation experience and 1.5 years focused on LLM workflows. Builds prompt chains for AI assistants used in internal knowledge search and document summarization. Implements LangChain workflows connected to vector databases for retrieval-grounded outputs. Has experience writing prompt documentation and establishing prompt engineering practices in team workflows from scratch.

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Availability:

Full-time

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Liana

Prompt engineer

$85/hour

Austin, TX, United States

Availability:

Full-time

Tech stack: LLaMA, OpenOrca, HuggingFace Transformers, PyTorch, LangChain, FastAPI, Weaviate, Pydantic, scikit-learn, spaCy, Docker, Azure

An AI specialist with 3 years of commercial experience applying large language models to clinical text and healthcare data. Builds prompt strategies that summarize patient records and structure radiology reports, and fine-tunes open-source models when clinical accuracy targets demand it. Implements classifiers that organize doctor-patient conversations, with LLaMA models tuned on healthcare-specific datasets. Contributed to live AI pipelines that combine prompting and fine-tuning for clinical outputs.

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Availability:

Full-time

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Nathan

Prompt engineer

$52/hour

São Paulo, Brazil

Availability:

Part-time (20 hrs/week)

Tech stack: OpenRouter, LangChain, ChatGPT Assistants API, Airtable, Notion AI, Zapier, Frase.io

A prompt engineer with over 5 years of commercial experience, with the last 14 months focused on AI-powered chat simulations for marketing and sales. Builds prompt libraries that model realistic customer interactions for tone-of-voice testing and product positioning. Implements multilingual prompt adaptations and content-generation pipelines using low-code tools. Has experience adapting prompts for multi-language sales enablement and internal L&D programs.

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Availability:

Part-time (20 hrs/week)

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Agustin

Prompt engineering developer

$55/hour

Buenos Aires, Argentina

Availability:

Full-time

Tech stack: LangChain.js, TypeScript, React, Node.js, Supabase, OpenRouter, Vercel, Pinecone, GitHub Actions

A full-stack engineer with 5 years of commercial experience now focused on prompt-based features in AI-powered web applications. Builds prompt-response pipelines connected to GPT-4 via OpenRouter, with React on the frontend and Node.js on the backend. Implements lightweight RAG flows with LangChain.js and vector databases for real-time knowledge retrieval. Contributed to internal admin tools for prompt version management and A/B output testing.

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Availability:

Full-time

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Marta

Prompt engineering developer

$49/hour

Kraków, Poland

Availability:

Full-time

Tech stack: LangChain, Flutter, Dart, Firebase, FastAPI, Supabase, Git, OpenRouter, Whisper

A mobile-focused prompt engineer with 4 years of Flutter experience and 1.5 years integrating GenAI features into cross-platform applications. Builds prompt flows for in-app smart assistants and contextual search, with FastAPI middleware bridging Flutter clients to GPT-based APIs.

Implements session-aware prompt logic for personalized outputs and fallback flows for latency and prompt failures. Has experience using Whisper for voice-to-prompt transcription and Firebase or Supabase for user-context state.

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Availability:

Full-time

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Discover 180+ full-time and part-time prompt engineers in the DOIT talent pool

Send the role brief and get a matched shortlist with rates, locations, video walkthroughs, and stack details visible upfront.

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Top tools DOIT prompt engineers work with

Models, LLMs and tools

OpenAI GPT

Anthropic Claude

LangChain/ LangGraph

Vector databases for RAG

Open-source LLMs

Image-generation models

OpenAI GPT

The OpenAI GPT family covers GPT-5, the Realtime API, and the Assistants API across text, vision, voice, and tool-use workloads. Hire prompt engineers for OpenAI-based product features that need reliable structured outputs, function calling, model routing, and cost-aware token use.

Realtime API

Stateful, tool-using agents

Structured-output prompting

Anthropic Claude

Claude covers Sonnet, Opus, Haiku, and Claude Code across long-context tasks, agentic tool use, code-heavy workflows, and structured-output use cases. Hire prompt engineers for Claude-based features where extended context windows, careful tool use, high-reliability reasoning, and code-aware prompting matter for your build.

Long-context summarization and analysis

Tool-use prompting for agent workflows

Code-generation and code-review pipelines

LangChain/ LangGraph

LangChain and LangGraph are the orchestration frameworks behind most agent stacks running in production, handling state, tool use, retries, and graph-based control flow. Engineers from the DOIT network handle LangChain and LangGraph builds that need typed agent state, observable runs, reliable retries, and traceable tool calls.

Multi-step agent graphs with explicit state

Tool calling, retries, fallback handling

LangSmith integration for tracing and evals

Vector databases for RAG

Pinecone, Weaviate, pgvector, and similar vector stores power the retrieval layer behind every grounded LLM feature. Hire prompt engineers for RAG pipelines that need context window discipline, relevance filtering, hybrid search, and citation-formatted outputs.

Pinecone, Weaviate, pgvector, Milvus

Hybrid keyword and semantic search

Reranking and citation-aware prompting

Open-source LLMs

Llama, Mistral, DeepSeek, Qwen, and similar open-weight models power on-prem deployments, fine-tuning workflows, cost-sensitive workloads, and privacy-driven builds. DOIT places engineers experienced with fine-tuning, self-hosted inference, compliance-driven deployment, and domain-adapted reasoning on open-source LLM stacks.

Fine-tuning with LoRA, QLoRA, full SFT, and DPO

Self-hosted inference with vLLM or TGI

Quantization and inference-cost tuning

Image-generation models

Midjourney, DALL-E, Stable Diffusion, and FLUX cover the working stack for brand-consistent visuals and product imagery. Prompt engineers from the DOIT network ship image-generation features with consistent style control, prompt templating, model-side fine-tuning, and integration into product workflows.

Style consistency and prompt templating

ControlNet, IP-Adapter, LoRA, and image-to-image flows

Production image pipelines

Why hire a prompt engineer with DOIT?

Vetted for modern-production expertise

At DOIT, every prompt engineer undergoes a multi-step screening process tailored to your project requirements. Your shortlist clears prompt design, evaluation, agent, and RAG checks to ensure only the most relevant specialists reach you.

Matched to your specific stack

Your team gets prompt engineers experienced with the LLMs and frameworks already on your roadmap. Whether the build runs on GPT and LangChain or Mistral and pgvector, the screening process matches the tools your engineers actually use.

Industry context where it counts

With a track record of hiring tech specialists for healthcare, retail, agriculture, manufacturing, defense, and other sectors, DOIT can help hire prompt engineers with hands-on experience in your specific use case.

Global talent

You can choose between US and Canada-based prompt engineers and remote senior talent from Poland, Ukraine, Romania, Bulgaria, Czechia, Argentina, Mexico, and Brazil. Pick the location mix that fits your time zone overlap, rate budget, language coverage, and onboarding logistics.

Flexible team scaling

Your team can hire full-time (40 hrs/week) or part-time (at least 20 hrs/week) engineers and adjusts the engagement inside the existing contract. Add more prompt engineers as the AI roadmap grows, or scale the engagement back when priorities shift.

Ongoing support

Once you choose your prompt engineer, DOIT handles contracts, payroll, equipment, HR admin, and ongoing developer retention. Your specialist integrates into your team; DOIT covers everything around the hire.

Hire AI prompt engineers in 4 steps

Share requirements

Filter the talent network

Get matched CVs

Meet the best

Onboard top talent

Share requirements

You send DOIT the stack, scope, seniority level, availability, and target domain for the prompt engineer you need. DOIT talent matchers will set up an initial consultation to clarify your requirements. After the call, the recruitment team will align on the exact candidate profile and start the search.

Filter the talent network

DOIT screens the network on technical proficiency, AI knowledge, domain background, time zone overlap, communication skills, and cultural fit. Only prompt engineers who match both technical and collaboration skills advance to your review.

Get matched CVs

Get the first matched profiles in an average of 3 to 5 business days. Every profile includes a pre-interview video recording so your team gauges communication and prompt-engineering depth before scheduling a call.

Meet the best

You stay in control of the final selection process. DOIT will organize interviews with shortlisted prompt engineers and help with scheduling and communication. If needed, the DOIT team can arrange additional technical tests or project-specific checks based on your requirements.

Onboard top talent

After final interviews, you choose the best-fit AI prompt specialist for your team. Then, DOIT will handle contract preparation, provide equipment for remote hires if needed, and support you with onboarding. Post-hire, DOIT stays connected for regular feedback cycles and assistance with legal, HR, and admin tasks.

How does DOIT vet the top 1.5% of prompt engineers?

Initial interview

DOIT reviews resume, portfolio, stack depth, and seniority, then runs a live technical conversation that also checks soft skills and English fluency. DOIT ensures every candidate has at least a B2 level of English for effective daily collaboration and can clearly explain prompt logic and structure in documentation and team discussions.

Pass rate: 14.3%

Technical vetting

DOIT run additional technical scenarios aligned to your role and your requirements when needed. Test designs include prompt-design exercises, evaluation harness setup, RAG pipeline scenarios, or agent orchestration tasks, depending on what the role actually demands.

Pass rate: 5%

Cultural fit

To find prompt engineers who align with your company values, DOIT checks how each candidate matches your team’s communication style and delivery approach. If your project requires real-time collaboration, we can source remote specialists with optimal business hour overlap or offer options within your time zone.

Pass rate: 1.5%

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FAQs about hiring prompt engineers

What does a prompt engineer do?

A prompt engineer designs, tests, refines, and documents prompt inputs that control LLM outputs for specific business tasks. They build prompt libraries, multi-step chains, agent workflows, evaluation systems, and integrations that wire LLM responses into product code.

A prompt engineer also tracks how prompts behave across model versions and edge cases so your team trusts the AI outputs in production with full visibility into how they behave.

How long does it take to hire a prompt engineer with DOIT?

DOIT delivers the first matched profiles in an average of 3 to 5 business days after you share requirements. The full hiring cycle, from initial consultation through onboarding, typically takes 2-4 weeks depending on interview scheduling and role complexity.

What skills should I look for in a prompt engineer?

Check that the prompt engineer has hands-on experience writing and adjusting prompts for production LLMs (GPT, Claude, Mistral, etc.) Ask for examples of how their prompts evolved through testing and how they measured output quality.

Look for skills in multi-step prompt flows (built with tools like LangChain or AutoGen) and running evaluation systems like OpenAI Evals to catch quality regressions. Strong hires can also show structured-output prompting that hands clean data to your backend and disciplined token-cost management on high-volume runs.

What is the difference between a prompt engineer and an AI engineer?

A prompt engineer makes existing AI models reliable enough to ship in your product. Theywork with LLMs like GPT or Claude on prompt design, output testing, retrieval flows, agent orchestration, and AI cost control.

An AI engineer covers the bigger lifecycle of training and deploying custom models, including fine-tuning, MLOps, evaluation pipelines, and serving infrastructure. DOIT places both. Hire a prompt engineer when your team is building features on top of LLMs that already exist; choose an AI engineer when you need to train or deploy your own models.

Can DOIT match prompt engineers to specific industries?

Yes. DOIT places prompt engineers with hands-on background in healthcare, retail, agriculture, manufacturing, and defense among other sectors.

Prompt engineers with prior industry exposure ramp faster on domain-sensitive work like clinical data handling, compliance-aware automation, industry-specific terminology, or regulated-sector workflows, so your AI features ship with fewer surprises.

Why do companies hire prompt engineers?

Companies hire prompt engineers to make LLM outputs reliable enough for production tasks: customer support automation, internal AI assistants, document handling, content generation, code assistance, and research summarization.

Once prompts produce consistent outputs, businesses can automate manual workloads, ship AI features faster, reduce the cost of LLM workflows, and free engineering capacity for the next build. DOIT places prompt engineers across healthcare, retail, agriculture, manufacturing, and defense for industry-specific AI work.

How much does prompt engineering cost?

According to Glassdoor, the average annual salary for a prompt engineer in the US is around $135,500, with top-tier specialists earning $240,000 to $284,000. Freelance rates run from $35/hour for entry-level tasks to $150+/hour for engineers with technical and business-focused experience.

With DOIT Software, you can hire vetted remote prompt engineers from Eastern Europe and LATAM at an average rate of $40-$75/hour for senior talent.

What if I'm not satisfied with the hired prompt engineers?

DOIT offers a talent guarantee. If the hired prompt engineer does not meet your expectations, DOIT works with you to find a replacement as quickly as possible, with knowledge-transfer support during the handover.

I want to hire prompt engineers. How do we proceed?

Start by sharing requirements on skills, seniority, technologies, language proficiency, and any other relevant details. DOIT talent matchers schedule a short consultation to clarify the prompt engineer profile and project context, then start the search.

You receive vetted CVs of prompt engineers matched to your needs, run your own interviews, and pick the hire. DOIT handles the technical screening, contracts, payroll, and onboarding so your team focuses on the build.

How is hiring through DOIT different from freelance prompt engineers?

DOIT pre-screens every prompt engineer against modern PE expertise across prompt design, evaluation, RAG, and agent work. A DOIT talent matcher filters the network search to your stack and domain, and engineers stay on the engagement longer with retention support around the role.

Hire Prompt Engineers for Modern AI Builds

What can DOIT prompt engineers do?

Meet DOIT prompt engineers for hire

Teodor

Denys

Liana

Nathan

Agustin

Marta

Top tools DOIT prompt engineers work with

Models, LLMs and tools

Why hire a prompt engineer with DOIT?

Hire AI prompt engineers in 4 steps

Share requirements

Filter the talent network

Get matched CVs

Meet the best

Onboard top talent

How does DOIT vet the top 1.5% of prompt engineers?

Initial interview

Technical vetting

Cultural fit