AI and Data Staffing

AI and data teams don’t just need technical expertise; they need people who understand how data, systems, and business goals connect. That’s why we take the time to understand your environment, your challenges, and what success actually looks like before we start hiring, so every candidate we send you is aligned from day one.

Why Hiring Managers Choose Swoon for Data and AI Staffing

  • We treat your goals like they’re our own.
    Because they are. AI hiring is high-stakes, and we don’t take that lightly.
  • We integrate into how your team actually works.
    From your tech stack to your workflows, we adapt to your reality – not the other way around.
  • We curate the experience, not just the shortlist.
    Every candidate you receive is evaluated for both the technical and soft skills needed to thrive on your team.
  • We believe the best hires come from strong relationships.
    That means investing time upfront to understand your priorities, risks, and long-term goals.
NPS Score
Avg. Client
Experience Rating
Faster Time-to-Fill than
Industry Avg.
Avg. Candidate
Experience Rating
Contractor Retention at
6 Months

Don’t Just Take Our Word For It

Swoon enables organizations to scale AI innovation without compromising enterprise-grade security, quality, or performance.

Client Challenge:

Swoon partnered with a Fortune 100 cloud and enterprise software leader to support the rapid expansion of next-generation AI systems. Central to this effort was a mission-critical RLHF (Reinforcement Learning from Human Feedback) data annotation platform used to train and validate large language models at scale.

Swoon deployed a Senior/Staff-level Full Stack Engineer to stabilize, scale, and secure the platform while enabling high-velocity AI research and production workflows.

Working in close partnership with AI scientists and platform teams, Swoon delivered high-impact engineering expertise that accelerated model development while ensuring enterprise-grade security, performance, and reliability.

Swoon’s Approach:

  • Delivered staff-level engineering talent into complex, high-stakes AI environments
  • Supported the development and scaling of mission-critical AI systems
  • Balanced speed, security, and quality in fast-moving innovation cycles
  • Aligned technical delivery with enterprise governance and compliance standards
  • Seamlessly integrated talent into world-class engineering and research teams

Results:

  • Increased platform stability, performance, and reliability
  • Accelerated AI model development and iteration cycles
  • Strengthened protection of sensitive training data
  • Earned stakeholder trust, leading to engagement extension
  • Established a long-term, high-value engineering contributor

We’re Here to Help No Matter Your Needs

But here are some areas in the AI & data verticals we especially shine in!
Supporting Key Areas Like:
AI Model Development
LLM Integration
Cloud Data Engineering
Analytics Modernization
Predictive Systems
Some of Our Key AI & Data Skillsets:
AI/ML Engineers
Generative AI/LLM Engineers
MLOps
Data Engineers
Data Scientists
BI & Analytics
Cloud Data Architects
AI Product Managers
FinOps
Our Different Hiring Solutions:

Tell Us What You Need, and We’ll Put Our AI and Data Staffing Expertise to Work

Hiring for AI and data roles can be tough. Technology moves fast, skill sets are highly specialized, and the wrong hire can slow progress (or stall it completely). That’s where we come in as your dedicated data and AI staffing agency. You don’t have time to wait for the perfect resume to land in your inbox. So, we integrate as a true extension of your team, delivering the right talent so you can keep building and moving forward without missing a beat.


When we connect, we’ll:


  • Introduce you to your dedicated hiring partner who will get to know your goals and the goals for your team.

  • Talk through partnership, pricing, and timelines, so you can see what working together could look like.

  • Share next steps and how we can support you throughout the entire process.