Denver, CO
LLM engineering recruiting for production systems. Crosscheck recruits AI/ML & LLM Engineering candidates for contract, contract-to-hire, and permanent roles tied to Denver.
What We Place
Representative roles
Platforms and technologies
Our Approach
This editorial hiring guide starts with sourced Denver business context. Denver's 2024 workforce plan gives hiring teams a dated public-sector view of the regional economy. It separates professional and technical services, health care, and business occupations instead of treating technology hiring as one market. An LLM Engineer brief should name the model boundary, retrieval sources, evaluation method, and production owner. API use alone does not show that a candidate can design grounded responses, control model behavior, or support an AI feature after launch.
Source LLM engineers who have shipped production retrieval, fine-tuning, inference, or evaluation systems
Assess candidates through architecture decisions, model tradeoffs, and evaluation methods
target a first candidate slate within 48 hours for qualified exclusive searches in our core disciplines after a completed intake
Permanent placements include a 90-day replacement guarantee, subject to the signed agreement.
Start the search
Include the business context, systems, delivery phase, work model, compensation, and interview timeline. A Crosscheck search lead will use that context to calibrate the role before sourcing begins.
Local Market Brief
Decide whether the hire owns retrieval, model adaptation, application code, evaluation, or the full service. Record latency, cost, privacy, and failure-response requirements before sourcing so recruiter review can distinguish prompt experimentation from production engineering. The three sourced Denver contexts below turn that scope into intake and screening decisions. They do not measure current vacancies, candidate supply, or Crosscheck client activity.
Editorial market scenario
List the production decisions the hire must own. Use those decisions to assess candidates whose prior title or industry differs from the opening. This is planning guidance, not measured local demand.
Editorial industry scenario
A cross-industry brief should start with the systems, users, risks, and outcomes behind the job title. Confirm that this context applies to the employer before using it in the search.
Screening focus
We test for model or application ownership, evaluation discipline, data judgment, and evidence that the candidate has shipped reliable AI systems.
Published labor benchmark
BLS does not publish an occupation matching LLM Engineer. Crosscheck uses Data Scientists (15-2051) as the closest published broad benchmark; it is not a count or pay estimate for this exact specialty.
BLS OEWS May 2025, published May 15, 2026
Published metro employment
4,510
BLS publishes a narrower metro employment estimate for the proxy occupation. Screen for adjacent experience that transfers without lowering the production bar. The estimate equals 2.804 jobs per one thousand across the metro workforce.
Employment concentration
1.66 location quotient
Denver-Aurora-Centennial, CO reports an above-national employment concentration for this proxy occupation. Confirm current availability through the active search.
Annual wage reference
$74,830 to $178,700
The metro median is 6% below the national Data Scientists median. Do not use the gap to discount niche platform or domain experience. BLS reports a $112,520 median for the proxy occupation in Denver-Aurora-Centennial, CO.
Hiring brief scenarios
These scenarios connect location context to role responsibilities. Use them as prompts to verify with the employer, not as measures of Denver demand, clients, or candidate supply.
Sourced professional and technical services context
Denver Workforce Development lists professional, scientific, and technical services among the three sectors forecast to add the most jobs from 2024 through 2028. The plan also names computer and mathematical occupations among the occupation families with the most projected growth. Connect the local operating context to the data that may enter prompts or retrieval. Require a candidate to explain document preparation, permissions, citation behavior, evaluation cases, and the team that approves changes. A search tied to consulting or technical services may cross several client systems, delivery methods, and security boundaries.
Evidence to request: Request an evaluation set, retrieval diagram, or redacted design note that shows how the candidate tested grounding and access boundaries. Confirm whether the hire owns one product, serves several internal teams, or works across client environments before setting the experience bar.
Sourced health care operations context
The same Denver plan includes health care and social assistance in its three fastest-growth sectors for 2024 through 2028. That broad sector covers employers with clinical, claims, workforce, finance, and compliance systems, but the plan does not identify demand for a specific technical role. Set the model-selection decision around the workload rather than a preferred vendor. Ask how the engineer compared hosted and open models, measured quality, handled unsafe output, and controlled latency or token cost. Health-related systems can introduce protected data, audit records, uptime requirements, and long approval paths.
Evidence to request: Use a design exercise with a fixed quality target and cost limit. Score the tradeoffs, measurement plan, and fallback behavior. Ask which data classification, access review, and change-control rules apply to the actual system rather than assuming a standard health care environment.
Sourced business and financial work context
Denver's workforce analysis places business and financial occupations and management occupations alongside computer and mathematical work among the occupation families with the most projected growth. The grouping supports a search brief that connects technical delivery with finance or operating ownership. Treat launch support as part of the role. The brief should cover observability, feedback review, version changes, rollback, and ownership when retrieval or model behavior produces a poor result. Business systems work often requires traceable approvals, reconciled records, and a clear handoff between technical and functional owners.
Evidence to request: Ask for an incident or regression account with the signal, diagnosis, change, and post-release check the candidate owned. Name the business process, control owner, and evidence required at acceptance so candidates can describe comparable work.
Interview scorecard
Ask each candidate the same core questions. Score the evidence, ownership, and judgment in the answer instead of relying on job-title or keyword matches.
1. LLM Engineer: OpenAI GPT-4o / o1
Choose an OpenAI GPT-4o / o1 decision from your work as LLM Engineer. Which constraint changed the design, and what evidence supported the result?
Use the answer to assess the model or application, evaluation method, input data, production limits, and owner after launch. The cross-industry technical work context is an editorial scenario, not a measured claim about Denver.
2. Prompt Engineer: Anthropic Claude
Describe project work you completed as Prompt Engineer involving Anthropic Claude that did not follow the original plan. What did you own, and how did you correct it?
Use the answer to assess the model or application, evaluation method, input data, production limits, and owner after launch. The cross-industry technical work context is an editorial scenario, not a measured claim about Denver.
3. RAG Architect: Llama 3 / Mistral / Gemma
For a Llama 3 / Mistral / Gemma system you supported, explain the handoff, operating limits, and measures used after launch. Where did your responsibility begin and end?
Use the answer to assess the model or application, evaluation method, input data, production limits, and owner after launch. The cross-industry technical work context is an editorial scenario, not a measured claim about Denver.
Need the full LLM Engineer evaluation guide?
The role guide covers technical scope, interview questions, and evidence checks once, without repeating the same material on every city page.
FAQ
For qualified exclusive searches in our core disciplines, Crosscheck targets a first candidate slate within 48 hours after a completed intake. Contract placements include a 40-billable-hour replacement guarantee, and permanent placements include a 90-day replacement guarantee, subject to the signed agreement.
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