Hire an AI
AI Engineer
Find an AI Engineer who ships production systems — not just research prototypes.
AI Engineers bridge the gap between data science research and working software. They integrate large language models, build inference pipelines, and wire AI capabilities into real products. Finding one with hands-on deployment experience is the hard part.
- Candidates with LLM integration and MLOps depth
- Engineers who have deployed AI in production, not just notebooks
- We screen for practical depth, not just certifications
- Contract, contract-to-hire, or full-time — your choice
- US and Canada talent. Shortlist in 5–10 business days.
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About CRM Force
Boutique means something different when the person who built the company has done the work.
Saad Ahmed spent 20 years as a CRM consultant, solution architect, and implementation lead — building marketing automation and CRM systems for clients from start-ups to publicly traded enterprises. He founded CRM Force to bring practitioner-led vetting to a space dominated by generalist agencies.
Every candidate goes through a two-step internal qualification process — reviewed by two separate evaluators before they reach you. We confirm experience, certifications, technical depth, and fit. You receive a shortlist, not a resume dump.
CRM consultants, architects, developers, and admins. Marketing automation specialists. RevOps leaders, business analysts, and project managers. If it touches the CRM or marketing technology stack, we place it. Contract, contract-to-hire, and direct hire — across all seniority levels.
We Recruit for You
Three reasons companies choose us over a traditional recruiter — and what makes the difference in practice.
Vetted by Someone Who Has Done the Work
Saad Ahmed, founder of CRM Force, spent 20 years as a CRM Consultant and Solution Architect — building HubSpot implementations, designing data models, and running client engagements himself. When he reviews a candidate for your role, he is not reading a job description. He is evaluating whether someone can do work he has done himself. That distinction matters.
No Resume Dumps. A Shortlist You Can Act On.
You receive 3 to 5 pre-vetted candidates, each with our written assessment — why we believe they fit your role, where they are strong, and what to probe in the interview. Our internal process puts every candidate through two separate evaluation stages before they reach you. You only meet people who have cleared the bar.
Three Engagement Models. One Standard.
Contract for short and long-term engagements. Contract-to-hire when you want to try before you commit. Direct placement for permanent roles. Every model includes the same sourcing, multi-stage screening, skills assessment, and reference validation. The delivery vehicle changes — the standard does not.
Our Recruitment Process
Four steps from brief to shortlist — no surprises, no padding, no wasted interviews.
We Learn Your Requirements
A focused role briefing call — not a generic intake form. We ask about portal size, Hub configuration, seniority level, technical depth required, team structure, and what a genuinely great candidate looks like for your specific situation. The brief matters more than most clients expect.
We Search Our Network
We work our pre-built database of CRM and HubSpot professionals alongside targeted outreach to passive candidates who are not actively applying. The majority of the people we present are not on job boards — they are available to the right opportunity, if the right person asks.
You Receive a Shortlist
Typically 3 to 5 pre-vetted candidates, each with our written assessment — not just a resume. We tell you why we believe each person is right for your specific role, where they are strong, and what you should probe in the interview. You decide who moves forward.
We Support You to Offer
We coordinate interviews, facilitate debriefs, provide market-rate compensation benchmarks, and support you through the offer stage. The search does not end when we send the shortlist — it ends when you have the right person in the role.
Looking for an AI Engineer?
We place CRM and Marketing Automation professionals across the US and Canada.
Industries We Serve
AI Engineering talent is in demand across every industry racing to embed intelligence into their products. We work with organizations of all sizes — from growth-stage startups to publicly traded enterprises — across all major industries.
Not sure what you need? We can help you define the role.
One conversation is usually enough. No commitment required.
Signs You Need an AI Engineer
A few things we hear from clients before they reach out.
- Your data science team has models but no path to production
- You are integrating GPT, Claude, or Gemini into a product and need API depth
- Your inference costs are spiraling and you need optimization expertise
- You are building RAG pipelines, vector databases, or AI agents
- Your ML models degrade in production and no one is monitoring them
What to Look For in an AI Engineer
The best AI Engineers can go from a Jupyter notebook to a monitored, versioned production deployment.
Red Flags to Watch For
- Only has notebook experience — no production deployments to point to
- Cannot explain how they would monitor model drift or handle latency spikes
- Unfamiliar with API cost management or token optimization
- No experience with version control for models or datasets
Whatever your sector, we know CRM talent.
Tell us about the role and we will get back to you within one business day.
What an AI Engineer Does
AI Engineers own the full lifecycle from model selection to monitored production deployment.
LLM Integration
Integrates large language models into applications via APIs, with prompt engineering, context management, and response handling.
Pipeline Architecture
Designs and builds data and inference pipelines that move information from raw input to model output reliably.
Model Optimization
Reduces inference latency and cost through quantization, caching, batching, and efficient prompt design.
RAG Systems
Builds retrieval-augmented generation pipelines with vector stores to give models access to proprietary knowledge.
Monitoring & Drift
Sets up observability for model performance, output quality, and latency — with alerts when behaviour changes.
AI Agent Frameworks
Builds agentic workflows using LangChain, LlamaIndex, CrewAI, or custom orchestration for multi-step AI tasks.
AI Engineering Across the Stack
AI Engineers work across model layers, infrastructure, and application code. Here is where they add value.
Foundation Models
Working with pre-trained models from leading AI labs.
- OpenAI GPT-4o and o-series
- Anthropic Claude
- Google Gemini
- Meta Llama (open source)
MLOps & Infra
Tools for model lifecycle and deployment automation.
- MLflow / Weights & Biases
- Docker + Kubernetes
- CI/CD for models
- Cloud ML platforms
Data & Retrieval
Data infrastructure that powers AI applications.
- Vector databases (Pinecone, Chroma)
- Embedding pipelines
- Feature stores
- Data versioning (DVC)
Application Layer
Connecting AI capabilities to product interfaces.
- FastAPI / REST endpoints
- Streaming responses
- Websocket integration
- SDK and plugin development
Frequently Asked Questions
- What is the difference between an AI Engineer and a Machine Learning Engineer?
- An AI Engineer focuses on integrating and deploying AI models — especially LLMs — into working products. A Machine Learning Engineer focuses more on training, tuning, and optimizing models. AI Engineers tend to be more product-facing; ML Engineers more research-adjacent.
- How long does it take to hire an AI Engineer?
- CRM Force typically delivers a shortlist of qualified AI Engineers within 5 to 10 business days. Senior roles or niche specializations (e.g. multimodal AI, fine-tuning) may take slightly longer.
- Do you place AI Engineers on a contract or full-time basis?
- Both. We place AI Engineers on contract, contract-to-hire, and full-time arrangements. Contract is common for project-based work; full-time is preferred for companies building a permanent AI function.
- What industries hire AI Engineers through CRM Force?
- We serve clients across SaaS, fintech, healthcare tech, e-commerce, media, and professional services — any organization embedding AI into their products or operations.
Tell Us What You’re Looking For
Share the role, your timeline, and any must-haves. No commitment required.