Charleston, SC
LLM engineering recruiting for production systems. Crosscheck recruits AI/ML & LLM Engineering candidates for contract, contract-to-hire, and permanent roles tied to Charleston.
What We Place
Representative roles
Platforms and technologies
Our Approach
This editorial hiring guide starts with sourced Charleston business context. Charleston's 2025 to 2029 Consolidated Plan describes a regional base in aerospace, automotive production, biotechnology, life sciences, information technology, and cybersecurity. These sectors give technical searches distinct aircraft, regulated-product, and digital-service constraints. 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 Charleston 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
An aerospace-facing brief should identify traceability, security, quality, documentation, and long-lifecycle system requirements. 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
650
BLS publishes fewer than one thousand metro jobs for the proxy occupation. Treat the estimate as a reason to define location flexibility before outreach. The estimate equals 1.659 jobs per one thousand across the metro workforce.
Employment concentration
0.98 location quotient
Charleston-North Charleston, SC 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
Not published
BLS did not publish an annual median for this proxy occupation in Charleston-North Charleston, SC. Set compensation from the role scope and a current salary source rather than filling the gap with an estimate.
Hiring brief scenarios
These scenarios connect location context to role responsibilities. Use them as prompts to verify with the employer, not as measures of Charleston demand, clients, or candidate supply.
Sourced aerospace and automotive production context
Charleston's consolidated plan identifies aerospace and automotive production as advanced sectors in the regional economy and links both to large manufacturing and supplier networks. 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. Aircraft and vehicle operations can connect approved designs, parts, suppliers, equipment, production orders, inspections, serial history, maintenance, safety evidence, and release authority.
Evidence to request: Request an evaluation set, retrieval diagram, or redacted design note that shows how the candidate tested grounding and access boundaries. Trace the aircraft, vehicle, or component from approved configuration and sourced material through production, inspection, serial record, discrepancy, delivery, maintenance, and authorized release.
Sourced biotechnology and life sciences context
The Charleston plan describes a life-sciences cluster built around research laboratories, medical-device work, pharmaceutical manufacturing, and the Medical University of South Carolina. 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. Life-sciences systems may join samples, instruments, clinical data, device configurations, product batches, validation, quality events, complaints, and regulated retention.
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 research, clinical, or product outcome, sample or patient identity, instrument interface, validation test, quality gate, traceability rule, complaint path, and approval owner.
Sourced information technology and cybersecurity context
Charleston's plan also identifies information technology activity across cybersecurity, software services, and data analytics, including firms that support defence 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. Technology and cyber teams can cross product code, client systems, sensitive data, identity, threat monitoring, incident response, service levels, and retained evidence.
Evidence to request: Ask for an incident or regression account with the signal, diagnosis, change, and post-release check the candidate owned. Set the product, client, or mission boundary, data classification, trust model, production authority, monitoring evidence, incident path, delivery artifact, and support obligation.
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 test coverage, traceable training inputs, deployment limits, monitoring, and review of model outputs. The aerospace and defense delivery context is an editorial scenario, not a measured claim about Charleston.
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 test coverage, traceable training inputs, deployment limits, monitoring, and review of model outputs. The aerospace and defense delivery context is an editorial scenario, not a measured claim about Charleston.
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 test coverage, traceable training inputs, deployment limits, monitoring, and review of model outputs. The aerospace and defense delivery context is an editorial scenario, not a measured claim about Charleston.
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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