Hire Prompt Engineers | TeamStation AI

Prompt Engineering is the art and science of communicating effectively with Large Language Models. A well-crafted prompt is the difference between a generic, unhelpful response and a precise, actionable one. Our Prompt Engineers are experts in this new discipline, combining creativity with a rigorous, data-driven approach to optimize prompts for performance, reliability, and cost.

Are your LLM responses inconsistent and unreliable?

The Problem

Poorly designed prompts lead to unpredictable LLM behavior. The model may misunderstand the user's intent, follow instructions incorrectly, or produce output in the wrong format, making it impossible to build a reliable application.

The TeamStation AI Solution

Our prompt engineers are experts in structured prompting techniques. They are vetted on their ability to use methods like few-shot prompting, chain-of-thought, and structured output formats (e.g., JSON) to guide the model towards a consistent, reliable, and parseable response.

Proof: Measurable increase in output consistency and reliability.
Is prompt development a slow, manual process of trial and error?

The Problem

Without a systematic approach, prompt development becomes a guessing game. Teams waste countless hours and API credits trying to find a prompt that works, with no guarantee of success or a way to measure improvement.

The TeamStation AI Solution

We hire engineers who apply a scientific method to prompt engineering. They are proficient in creating evaluation datasets and using automated testing frameworks to systematically iterate on and A/B test prompt variations, finding the optimal prompt based on metrics for quality, cost, and latency.

Proof: Systematic, data-driven prompt evaluation and optimization.

How We Measure Seniority: From L1 to L4 Certified Expert

We don't just match keywords; we measure cognitive ability. Our Axiom Cortex™ engine evaluates every candidate against a 44-point psychometric and technical framework to precisely map their seniority and predict their success on your team. This data-driven approach allows for transparent, value-based pricing.

L1 Proficient

Guided Contributor

Contributes on component-level tasks within the Prompt Engineer domain. Foundational knowledge and learning agility are validated.

Evaluation Focus

Axiom Cortex™ validates core competencies via correctness, method clarity, and fluency scoring. We ensure they can reliably execute assigned tasks.

$20 /hour

$3,460/mo · $41,520/yr

± $5 USD

L2 Mid-Level

Independent Feature Owner

Independently ships features and services in the Prompt Engineer space, handling ambiguity with minimal supervision.

Evaluation Focus

We assess their mental model accuracy and problem-solving via composite scores and role-level normalization. They can own features end-to-end.

$30 / hour

$5,190/mo · $62,280/yr

± $5 USD

L3 Senior

Leads Complex Projects

Leads cross-component projects, raises standards, and provides mentorship within the Prompt Engineer discipline.

Evaluation Focus

Axiom Cortex™ measures their system design skills and architectural instinct specific to the Prompt Engineer domain via trait synthesis and semantic alignment scoring. They are force-multipliers.

$40 / hour

$6,920/mo · $83,040/yr

± $5 USD

L4 Expert

Org-Level Architect

Sets architecture and technical strategy for Prompt Engineer across teams, solving your most complex business problems.

Evaluation Focus

We validate their ability to make critical trade-offs related to the Prompt Engineer domain via utility-optimized decision gates and multi-objective analysis. They drive innovation at an organizational level.

$50 / hour

$8,650/mo · $103,800/yr

± $10 USD

Pricing estimates are calculated using the U.S. standard of 173 workable hours per month, which represents the realistic full-time workload after adjusting for federal holidays, paid time off (PTO), and sick leave.

Core Competencies We Validate for Prompt Engineer

Advanced Prompting Techniques (Chain-of-Thought, Few-Shot)
Structured Output Formatting (JSON, XML)
Prompt Templating and Management
Evaluation and A/B Testing of Prompts
Cost and Latency Optimization

Our Technical Analysis for Prompt Engineer

Candidates are given a complex task and an LLM, and they must design a prompt that reliably produces the correct output in a specified JSON format. We assess their iterative process, their use of advanced techniques to guide the model, and their ability to create a prompt that is robust to variations in user input.

Related Specializations

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