Austin, TX
LLM engineering recruiting for production systems. Crosscheck recruits AI/ML & LLM Engineering candidates for contract, contract-to-hire, and permanent roles tied to Austin.
What We Place
Representative roles
Platforms and technologies
Our Approach
This editorial hiring guide starts with sourced Austin business context. Austin's May 2026 economic-development policy draft names specific growth sectors and infrastructure programs. The document supports hiring scenarios tied to semiconductors, health innovation, and major public infrastructure without claiming that a named employer has an open role. 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 Austin 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
Set the system boundary, decision rights, work model, and interview schedule before sourcing. Candidates can then compare the role on concrete responsibilities. 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
3,730
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 2.882 jobs per one thousand across the metro workforce.
Employment concentration
1.71 location quotient
Austin-Round Rock-San Marcos, TX reports an above-national employment concentration for this proxy occupation. Confirm current availability through the active search.
Annual wage reference
$74,640 to $186,010
The metro median is 6% above the national Data Scientists median. Test whether the role's scope and location requirement support that difference. BLS reports a $127,360 median for the proxy occupation in Austin-Round Rock-San Marcos, TX.
Hiring brief scenarios
These scenarios connect location context to role responsibilities. Use them as prompts to verify with the employer, not as measures of Austin demand, clients, or candidate supply.
Sourced semiconductors and microelectronics context
The City of Austin's May 2026 policy draft identifies semiconductors and microelectronics as a target sector and links the sector to local research, state programs, and federal investment. The document names design, manufacturing, and supply-chain activity as parts of the cluster. 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. Semiconductor work can combine factory systems, engineering data, long equipment lifecycles, and strict production change windows.
Evidence to request: Request an evaluation set, retrieval diagram, or redacted design note that shows how the candidate tested grounding and access boundaries. Separate experience with corporate software from experience inside design, test, fabrication, or equipment operations.
Sourced life sciences and health innovation context
Austin's 2026 policy draft lists life sciences and health innovation as a target sector. It points to diagnostics, biotechnology, health technology, and the research and clinical institutions that support those activities. 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. Research and clinical products can require reproducible analysis, controlled data access, validation records, and review by nontechnical subject experts.
Evidence to request: Use a design exercise with a fixed quality target and cost limit. Score the tradeoffs, measurement plan, and fallback behavior. Document whether the role supports research, a regulated product, clinical operations, or an internal business system because each path changes the proof required.
Sourced mobility and infrastructure technology context
The Austin policy draft treats mobility and infrastructure technology as a sector connected to I-35, Project Connect, airport expansion, and water infrastructure. It describes a regional investment cycle with construction, technology, utilities, and smart-city work. 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. Infrastructure programs join field schedules, public procurement, asset data, and systems that must remain available during phased delivery.
Evidence to request: Ask for an incident or regression account with the signal, diagnosis, change, and post-release check the candidate owned. Identify the asset, operating agency, implementation phase, and outage tolerance before deciding whether industry experience is required.
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 Austin.
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 Austin.
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 Austin.
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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