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Teodor
$55/hour
Cluj-Napoca, Romania
Full-time
Tech stack: GitHub Copilot, GPT, Claude, OpenRouter, LangChain, TypeScript, Node.js, Docker, Terraform, GitHub Actions, Azure, n8n, Bash
Senior DevOps engineer who transitioned into GenAI automation. Over the past year, led prompt engineering efforts to improve internal DevOps workflows. Used GPT and Claude via API to automate CI/CD pipeline configuration and assist developers through contextual code reviews powered by custom Copilot prompts.
Built prompt-driven automations for incident triage and deployment reports. Integrated AI agents into existing ITSM tooling and created internal prompt libraries shared across teams. Experienced in mapping prompt-response logic to real-time infrastructure tasks.
Full-time

Denys
$50/hour
Lviv, Ukraine
Full-time
Tech stack: GPT, Claude, Gemini, Mistral, LangChain, Python, FastAPI, Pinecone, Weaviate, SQL, Google Colab, Git
A prompt engineer with 6 years in Python automation and over 1 year working with LLMs. Created prompt chains for AI assistants used in internal knowledge search and document summarization. Used LangChain to build custom workflows and connect them with vector databases.
Previously worked as a Python developer focused on automation and backend services. Confident in writing prompt documentation and helped establish prompt engineering practices in team workflows from the ground up.
Full-time

Liana
$85/hour
Austin, TX, United States
Full-time
Tech stack: LLaMA, OpenOrca, HuggingFace Transformers, PyTorch, LangChain, FastAPI, Weaviate, Pydantic, scikit-learn, spaCy, Docker, Azure
AI specialist with a background in clinical NLP and 3 years of experience in applying LLMs to healthcare data. Focused on building prompt strategies and fine-tuning open-source models for EMR summarization. Also, has experience with radiology report structuring and doctor-patient dialogue classification. Used domain-specific datasets to adapt LLaMA models for improved precision in clinical environments.
Full-time

Nathan
$52/hour
São Paulo, Brazil
Part-time (20 hrs/week)
Tech stack: OpenRouter, LangChain, ChatGPT Assistants API, Airtable, Notion AI, Zapier, Frase.io
Skilled AI prompt specialist with 14 months of commercial experience designing AI-powered chat simulations for marketing and sales purposes. Worked on libraries that model realistic customer interactions to help teams test tone of voice and product positioning.
Before moving into prompt engineering, spent over 4 years in B2B sales enablement and internal L&D projects across Europe. Experienced in adapting prompts for multilingual use cases. Confident in using low-code tools to build automated workflows for content generation and prompt testing.
Part-time (20 hrs/week)

Agustin
$55/hour
Buenos Aires, Argentina
Full-time
Tech stack: LangChain.js, TypeScript, React, Node.js, Supabase, OpenRouter, Vercel, Pinecone, GitHub Actions
Full-stack engineer with 5 years of experience, currently focused on coding prompt-based features into AI-powered web applications. Worked on user-facing tools where prompts controlled dynamic search and assistant behavior.
Built and maintained prompt-response pipelines connected to GPT-4 via OpenRouter and integrated prompt logic into frontend (React) and backend (Node.js) layers. Used LangChain.js and vector databases to implement lightweight RAG flows for real-time knowledge retrieval. Developed internal admin tools to manage prompt versions and A/B test outputs.
Full-time

Marta
$49/hour
Kraków, Poland
Full-time
Tech stack: LangChain, Flutter, Dart, Firebase, FastAPI, Supabase, Git, OpenRouter, Whisper
Mobile-focused prompt engineer with 4 years in Flutter and 1.5 years integrating GenAI features into cross-platform applications. Previously, designed prompt flows for in-app smart assistants and contextual search.
Integrated GPT-based APIs with Flutter apps using FastAPI middleware and managed session-aware prompt logic for personalized outputs. Built fallback flows to handle latency and prompt failures. Familiar with Whisper for voice-to-prompt transcription and Firebase/Supabase for state and user context management.
Full-time
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What can prompt engineers from DOIT work on?
Write, test, and refine prompts
Improve the accuracy and consistency of AI model outputs for your business tasks.
Hire a prompt engineer to design task-specific prompts for GPT, Claude, Mistral, and other LLMs, run A/B tests, iterate based on results, and maintain structured prompt documentation
Build prompt libraries and modular templates
Standardize AI interactions across products and teams with reusable prompt templates.
A prompt engineer helps you structure scalable libraries, document usage patterns, and align prompts with specific business use cases.
Optimize prompts for RAG workflows
Enhance AI response quality by improving how your model retrieves and uses external knowledge.
Hire prompt engineers to formulate optimized retrieval prompts, manage context windows, and fine-tune RAG (Retrieval Augmented Generation) integrations with vector databases.
Develop complex AI workflows
Automate advanced AI tasks with structured reasoning flows and agent orchestration.
Hire a prompt engineering coder to design multi-step prompt logic, implement chains, manage state, and build agent workflows using tools like LangChain or AutoGen.
Implement prompt-response cycles
Integrate LLM interactions into your backend systems and automate prompt-response flows.
Hire a prompt engineering developer to connect AI models’ APIs (e.g., OpenAI, Anthropic, Cohere), handle retries, and optimize token usage.
Automate business processes
Reduce manual workloads by embedding AI-driven automation into your business workflows.
A prompt engineering developer builds prompt-based integrations for content generation, data extraction, and internal tools using Python, SQL, and no-code platforms.

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