Stop guessing what your LLM will do next. Hire prompt engineers craft instructions that make chatbots, virtual assistants, and recommendation engines behave exactly as intended every single time.
From flashy demos to mission-critical apps, we eliminate bugs and unreliable AI frameworks. Hire prompt engineers that optimize how your data talks to the model, making sure customer-facing bots delight and internal tools never churn out garbage.
We replace one-size-fits-all mega-prompts with structured modular Chain-of-Thought pipelines and sequences. Your AI reasons through every stage before delivering the answer, boosting accuracy on even the toughest logic and calculation tasks.
Manual tuning fails at scale. Hire prompt engineers that use DSPy to automatically measure, adjust, and optimize prompts so your models consistently interpret your dataset correctly, producing precise, reliable, and reproducible outputs every time.
Hire prompt engineers that use dynamic few-shot prompting to feed the model the right examples at the right time. Structured for optimal pattern recognition and minimal token usage, your AI delivers precise results without throwing errors or incorrect output.
Whether it’s verbose instructions for Claude 3.5 Sonnet or compact, cost-efficient prompts for GPT-4o-mini, Gemini and Llama 3, hire prompt engineers that optimize syntax and structure so your AI consistently produces predictable, actionable outputs
With structured evaluation sets and LLM-as-a-Judge pipelines, we measure every prompt update for drift, precision, and recall. With this, we guarantee your models maintain consistent, reliable, and production-ready outputs at all times.
Hire prompt engineers with deep proficiency in Python, Linguistics, and Token Economics. Entrans connects you with professionals who understand the mechanics of attention heads and context windows, building systems that are robust against adversarial inputs.
Our team solves the parsing error nightmare. Hire prompt experts to design system instructions that enforce strict JSON or XML schemas. We ensure the LLM output can be instantly consumed by your API or frontend without needing complex regex cleanup scripts.
Hire prompt engineers experienced with security. We "red team" your prompts to identify vulnerabilities to injection attacks and jailbreaks. We build defensive system prompts that refuse to answer out-of-bounds queries while maintaining a helpful persona.
Efficiency matters at scale. Hire experts who optimize prompt density. We refine instructions to achieve the same quality of output using 30-50% fewer input tokens, significantly lowering your API bills and reducing latency for end-users.
We standardize your brand voice. Hire prompt engineers who use detailed persona definitions and style transfer techniques to ensure your AI agents speak consistently across all touchpoints, whether they are handling support tickets or writing marketing copy.
Entrans’ specialists adapt prompts for the limitations of smaller, local models. hire prompt engineers that tune instructions specifically for quantized models (like Mistral 7B or Phi-3) running on-device, ensuring high performance even with limited parameter counts.
We build the data you need. Hire prompt consultants skilled in generating high-quality synthetic datasets. We design workflows to create training data for fine-tuning or testing, ensuring diversity and coverage of edge cases that real data might miss.
Technical Stack: Next.js (SSG), Strapi, Tailwind CSS, Vercel
A leading Fintech services company was limited by its slow, monolithic WordPress site, which hurt its SEO and content workflow. We migrated them to a headless architecture with Next.js for Static Site Generation and Strapi as the CMS.
The new platform had better functionality and a better UX for users uploading bills, statements, and receipts for reconciliation.
Technical Stack: Python, Flutter, Angular, LangChain, FastAPI
Enterprises needed a secure AI solution for human-like conversations grounded in their own proprietary data. We developed Thunai, our enterprise-grade agentic platform, to automate sales and support workflows.
Thunai delivers accurate, data-driven responses, handles complex agent tasks, and provides a unified support experience in over 150 languages.
Entrans provides specialized prompt engineering teams that ensure output consistency, cost efficiency, and system safety. Our pre-vetted network offers deep expertise in CoT reasoning, structured data extraction, and evaluation pipelines, delivered through adaptive engagement models that integrate seamlessly with your product team.
Identify high-impact opportunities and reliability gaps that need Prompt Engineer roles.
Access pre-screened profiles with verified expertise in Context Optimization, Eval frameworks, and Model Tuning.
Validate expertise in Chain-of-Thought, JSON enforcement, and handling hallucinations through technical challenges.
Onboard experts who understand your specific domain logic and user expectations, preventing ramp-up delays.
Maintain continuity with support for new model releases, prompt versioning, and drift monitoring.
Ideal for continuous product iteration, managing a library of 100+ prompts, and optimizing for model upgrades.
Scale your product team with skilled prompt specialists who work alongside your backend developers.
Hire for specific tasks, such as creating a "Golden Dataset" for evals, reducing API costs, or fixing a hallucinating bot.
Our team serves a global clientele, specializing in Legal, Medical, and Customer Support automation. Our specialists architect reliable interaction layers using their deep knowledge of LLM psychology and logic.
A Prompt Engineer is a technical specialist who designs, refines, and optimizes the textual inputs given to Large Language Models (LLMs). Unlike casual users, they use systematic testing, version control, and logical frameworks (like CoT) to ensure the AI behaves predictably and accurately in production environments.
A prompt engineer designs and refines precise text inputs to guide AI models toward generating high-quality, specific outputs. They rigorously test and iterate on these inputs to uncover the best phrasing that ensures the AI performs tasks accurately and reliably. Essentially, they act as a translator between human intent and machine logic to bridge the gap between a raw model and a useful product.
LLMs are probabilistic, meaning they guess the next word. Hiring Prompt Engineers allows you to constrain this randomness. They build the "guardrails" and "instructions" that turn a generic model into a specialized tool that follows your business rules, formats data correctly, and avoids making things up.
In 2026, the market for hiring prompt engineers has matured. In the US, hourly rates range between $60 and $120, with annual salaries averaging $130,000. Offshore prompt engineers in India provide strategic value, with skilled engineers starting around $25-$40 per hour, while specialists in Europe or Latin America typically range from $50 to $85 per hour.
Yes, it is frequently a remote role since the work is entirely digital and requires only a computer and internet access. Many tech companies and startups prioritize talent over location, making flexible or work-from-home arrangements the industry standard. However, highly sensitive government or security-focused projects may strictly require on-site presence.