San Antonio, TX
LLM engineering recruiting for production systems. Crosscheck recruits AI/ML & LLM Engineering candidates for contract, contract-to-hire, and permanent roles tied to San Antonio.
What We Place
Representative roles
Platforms and technologies
Our Approach
This editorial hiring guide starts with sourced San Antonio business context. San Antonio's 2022 economic-development framework separates mobility, IT security and infrastructure, and bioscience from other strategic clusters. Those categories support hiring briefs tied to production systems, controlled technology, and regulated research or care. 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 San Antonio 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
Give candidates the integration, approval, audit, and change-management boundaries during the interview. Ask for comparable decisions from prior work. This is planning guidance, not measured local demand.
Editorial industry scenario
A public-sector brief should identify access, procurement, documentation, security, and stakeholder constraints before sourcing begins. 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
1,730
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 1.539 jobs per one thousand across the metro workforce.
Employment concentration
0.91 location quotient
San Antonio-New Braunfels, TX sits near the national employment concentration for this proxy occupation. Use role evidence and work-model requirements to set the sourcing radius.
Annual wage reference
$59,790 to $165,250
The metro median is 14% below the national Data Scientists median. Do not use the gap to discount niche platform or domain experience. BLS reports a $103,290 median for the proxy occupation in San Antonio-New Braunfels, 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 San Antonio demand, clients, or candidate supply.
Sourced mobility context
The City of San Antonio's economic-development framework defines mobility through aerospace, automotive, logistics, and manufacturing activity. 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. Mobility programs may connect engineering definitions, vehicles or aircraft, parts, plants, quality, maintenance, suppliers, warehouses, field assets, service, and cost records.
Evidence to request: Request an evaluation set, retrieval diagram, or redacted design note that shows how the candidate tested grounding and access boundaries. Set the product and program boundary, configuration baseline, facility, production method, traceability rule, quality release, logistics handoff, service model, and change authority.
Sourced it security and infrastructure context
San Antonio's framework identifies IT security and infrastructure as a strategic cluster connected to cybersecurity, technology, aerospace, defense, and military operations. 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. Secure infrastructure work can involve identity, cloud and hosted services, networks, classified or controlled data, monitoring, incident response, change records, and continuity duties.
Evidence to request: Use a design exercise with a fixed quality target and cost limit. Score the tradeoffs, measurement plan, and fallback behavior. Name the service, data classification, identity authority, trust boundary, control framework, alert and response path, evidence retention, recovery objective, and approving security owner.
Sourced bioscience anchors and catalysts context
The San Antonio framework defines a bioscience cluster that includes health care, higher education, research and development, and defense or military medicine. 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. Bioscience and medical work may join patient care, research data, specimens, devices, laboratories, validated products, access controls, billing, workforce, and quality review.
Evidence to request: Ask for an incident or regression account with the signal, diagnosis, change, and post-release check the candidate owned. Define the care, study, product, or enterprise process, regulated boundary, source record, validation protocol, device or lab interface, access rules, retention, and reviewer.
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 approved data use, evaluation records, human oversight, deployment boundaries, and security review. The public-sector and security work context is an editorial scenario, not a measured claim about San Antonio.
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 approved data use, evaluation records, human oversight, deployment boundaries, and security review. The public-sector and security work context is an editorial scenario, not a measured claim about San Antonio.
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 approved data use, evaluation records, human oversight, deployment boundaries, and security review. The public-sector and security work context is an editorial scenario, not a measured claim about San Antonio.
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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