LLM Engineer
Designs and ships production language model systems, RAG pipelines, inference infrastructure, and evaluation frameworks.
AI/ML & LLM Engineering
LLM Engineer staffing across the US and Canada
LLM engineering recruiting for production systems. Choose a market below for local hiring context and the screening priorities Crosscheck uses for this role.
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.
Role-specific recruiting
What a focused LLM Engineer search covers
A successful search starts with the outcomes this person must own, the environment they will inherit, and the evidence that separates production experience from keyword familiarity. Crosscheck aligns those requirements during intake, then screens a specialist network against the agreed role, compensation, location, and interview process.
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.
Role coverage
Related LLM Engineer profiles
The exact title varies by team structure and project stage. These are the adjacent profiles commonly considered during intake and technical screening.
Prompt Engineer
Systematic prompt design, chain-of-thought optimization, and automated evaluation for LLM-powered products.
RAG Architect
Vector DB selection, chunking strategy, hybrid retrieval, and end-to-end RAG system design for enterprise use cases.
Fine-Tuning Specialist
Domain adaptation using LoRA, QLoRA, and PEFT, instruction tuning and RLHF for production open-source models.
AI Product Engineer
Full-stack engineers who integrate LLMs into product features, API design, latency optimization, and AI UX patterns.
AI Evaluation Engineer
Builds and maintains LLM eval frameworks, benchmarking, regression testing, and human feedback pipelines.
Technical and functional screening scope
The intake identifies which areas are essential on day one and which can be adjacent experience. Screening then focuses on decisions made, systems shipped, constraints handled, and measurable outcomes.
LLM APIs & Models
OpenAI GPT-4o / o1 · Anthropic Claude · Llama 3 / Mistral / Gemma · Azure OpenAI Service · Google Vertex AI
Orchestration & RAG
LangChain · LlamaIndex · Haystack · DSPy · CrewAI / AutoGen
Vector Databases
Pinecone · Weaviate · Qdrant · pgvector · FAISS / Chroma
Fine-Tuning & Training
HuggingFace Transformers · PEFT / LoRA / QLoRA · RLHF / DPO / GRPO · Axolotl · Unsloth
Inference & Serving
vLLM · TGI (Text Generation Inference) · Ollama · NVIDIA Triton · Modal / Replicate
Evaluation & Observability
LangSmith · Weights & Biases · Ragas · TruLens · Promptfoo
Interview calibration
How to evaluate LLM Engineer experience
The search team uses the completed brief to separate adjacent familiarity from work the candidate owned. Each interviewer should use the same scenario, record the evidence provided, and score the answer against the responsibilities agreed during intake.
LLM Engineer: LLM APIs & Models
Designs and ships production language model systems, RAG pipelines, inference infrastructure, and evaluation frameworks.
Interview prompt: Ask for one decision involving OpenAI GPT-4o / o1, Anthropic Claude, Llama 3 / Mistral / Gemma. Record the constraint, what the candidate owned, and the evidence used to evaluate the result.
Brief alignment: Source LLM engineers who have shipped production retrieval, fine-tuning, inference, or evaluation systems
Prompt Engineer: Orchestration & RAG
Systematic prompt design, chain-of-thought optimization, and automated evaluation for LLM-powered products.
Interview prompt: Ask for one decision involving LangChain, LlamaIndex, Haystack. Record the constraint, what the candidate owned, and the evidence used to evaluate the result.
Brief alignment: Assess candidates through architecture decisions, model tradeoffs, and evaluation methods
RAG Architect: Vector Databases
Vector DB selection, chunking strategy, hybrid retrieval, and end-to-end RAG system design for enterprise use cases.
Interview prompt: Ask for one decision involving Pinecone, Weaviate, Qdrant. Record the constraint, what the candidate owned, and the evidence used to evaluate the result.
Brief alignment: target a first candidate slate within 48 hours for qualified exclusive searches in our core disciplines after a completed intake
Market directory
Choose where you need to hire.
Use a quick link or choose a state or province. Every market opens a city-specific LLM Engineer hiring guide.
Quick market links
United States by state
Open states with multiple cities
Alabama (AL)BirminghamArkansas (AR)FayettevilleConnecticut (CT)HartfordDistrict of Columbia (DC)WashingtonGeorgia (GA)AtlantaIdaho (ID)BoiseIllinois (IL)ChicagoIndiana (IN)IndianapolisIowa (IA)Des MoinesKansas (KS)WichitaKentucky (KY)LouisvilleMaryland (MD)BaltimoreMassachusetts (MA)BostonMinnesota (MN)MinneapolisNebraska (NE)OmahaNevada (NV)Las VegasNew Mexico (NM)AlbuquerqueOregon (OR)PortlandRhode Island (RI)ProvidenceUtah (UT)Salt Lake CityVirginia (VA)Richmond
California (CA)5 cities
Colorado (CO)2 cities
Florida (FL)4 cities
Louisiana (LA)2 cities
Michigan (MI)2 cities
Missouri (MO)2 cities
North Carolina (NC)4 cities
Ohio (OH)3 cities
Oklahoma (OK)2 cities
Pennsylvania (PA)2 cities
South Carolina (SC)2 cities
Tennessee (TN)4 cities
Texas (TX)5 cities
Canada by province
Choose a province to open its markets
Need a wider or fully remote search?
The market pages are planning guides, not claims of a physical office in every city. Crosscheck recruits across the United States and Canada from Denver. For qualified exclusive searches in our core disciplines, Crosscheck targets a first candidate slate within 48 hours after a completed intake.
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