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Artifical Intelligence Recruiters and Executive Search

Your Artificial Intelligence Recruitment Agency

Recruiting the right talent is essential for organizations that want to be at the forefront of innovation as the use of AI continues to rapidly grow and evolve. Redfish Technology is a leading executive search firm for AI/ML talent, with an in-depth understanding of this technology and the employment market surrounding it. Whether you need an AI Solutions Architect to plan, design, and implement the entire AI integration for your business, a BI Developer who can use AI-driven analytics to deliver timely insights that drive growth, or an AI Engineer to develop and program custom algorithms, a Redfish recruiter can help you find and hire the best.

The Challenges of AI Recruiting

As with any emerging technology, there is more demand for AI skills than there are engineers and developers with expertise in them. This has created a very challenging talent landscape, leaving smaller companies competing with established tech giants to attract the same professionals. The breakneck pace of new developments within the field of AI compounds these difficulties. Programmers and engineers need to be constantly developing new skills to stay current with these changes ,and simply knowing what kind of AI talent you need can be a challenge for hiring leaders who aren’t well-versed in AI and machine learning technology. An experienced technology recruitment firm like Redfish can be an ideal partner for companies that need to connect with exceptional AI professionals.

Why Choose Redfish?

Our deep understanding of the technology sector is the first cornerstone of our recruitment success. We have our finger on the pulse of the AI industry and stay current with the latest trends, developments, and challenges in hiring artificial intelligence experts, allowing us to guide our clients successfully through this shifting landscape. At the start of each search, Redfish recruiters take the time to get to know the client company at the same deep level, learning about your culture and business needs as well as your requirements for the role. Our extensive network of more than 30,000 professionals gives us access to candidates companies often can’t find on their own, including passive job seekers and technology leaders who are quietly searching for a new role. Thanks to this combination of industry knowledge with a personal touch, Redfish Technology has built an extensive track record of successful long-term placements. If you have a difficult AI role to fill, our recruiting services can be your solution.

Recruit with Redfish

Redfish Technology lives at the intersection of creativity, resourcefulness, and innovation. Founded in 1996, our unique expertise in artificial intelligence recruiting has helped grow businesses from coast to coast, with deep roots in the country’s biggest tech hubs. Are you ready to take your company to the next level?

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Join the many companies that have recruited artificial intelligence roles with Redfish Technology

We recruit across the spectrum of artificial intelligence roles

The security and privacy of a company’s network, systems, and data is paramount, and maintaining that security has become increasingly complex as artificial intelligence evolves. Professionals need to be adaptable and creative to develop AI-driven solutions that keep them a step ahead of emerging threats. Our recruiters connect hiring teams with talent that has the niche skill sets to rise to this challenge.

Large Language Models (LLM) are at the cutting edge of the technology landscape. This means there is a relatively small talent pool of professionals who have hands-on experience developing these models or fine-tuning them at scale, and those limited professionals are in high demand across sectors. Our nationwide talent network gives Redfish the reach to identify and attract LLM professionals with the capabilities our client companies need on their teams.

Data modeling is an interdisciplinary field, and this adds to the challenges for companies hiring into these roles. They require a deep understanding of several in-demand skill sets, including statistics and probability, programming, and machine learning algorithms. Redfish recruiters leverage our deep industry expertise to connect hiring teams with the data modeling talent that can bring them meaningful insights from their data.

Using computer vision methodologies allows organizations to derive valuable information from visual media, but to take advantage of this capability they need to hire professionals with a specific set of cross-disciplinary skills. The challenge grows for companies in industries like healthcare and finance, who often look for candidates with knowledge in that domain as well as proficiency in deep learning, machine learning, and image processing. The in-depth expertise of a Redfish recruiter can be a powerful asset for attracting this talent.

To recognize complex patterns and derive accurate insights from text, sound, images, and other data requires a more in-depth approach than the typical AI algorithm. Since deep learning algorithms are at the forefront of AI research, it can be difficult for hiring managers to even assess a candidate’s expertise and skills, much less identify the right person for their role. Redfish recruiters have the industry knowledge and reach to overcome these difficulties for companies across industries.

Professionals in the Digital Twin and IoT sectors need to have a combination of in-demand skills. They need to be knowledgeable about hardware like devices and sensors, and to have software skills like programming, data analytics, machine learning, and information security and privacy. Our extensive talent network enables us to find candidates with strengths in all of these areas, as well as any other industry or domain knowledge you need from employees in your organization.

To capture the full value of generative AI for your business, you need a team with knowledge of deep learning, computer vision, and NLP. They also need to understand the human impact of AI and be mindful of its societal implications and potential for bias. Since the technology is relatively new, the pool of candidates with hands-on experience is very limited. Having a dedicated search firm on your side can help you connect with these in-demand professionals.

Even when your work is high-tech, the end goal is still to meet the needs of human users. Strong research skills and iterative testing is a good start to accomplish that, but these need to be balanced by empathy, active listening, collaboration, and storytelling. Hiring for those critical soft skills is often the most difficult part of filling these roles, and the comprehensive review process at Redfish ensures the candidates we send to clients have the full array of skills and traits you need on your team.

A deep understanding of image processing algorithms is critical for professionals in this sector, but that’s not the only skill businesses need to look for in candidates. Along with technical knowledge of data handling, deep learning, and programming, these roles require experience with image manipulation tools, as well as soft skills like a sharp eye for detail and the ability to collaborate in interdisciplinary teams. Redfish helps employers identify talent with the ideal blend of capabilities to thrive in these roles.

Hiring a skilled NLP Engineer, computational linguist, AI architect, or similar role requires a more involved evaluation process than just reviewing resumes. Knowledge of NLP libraries, programming languages, and machine learning algorithms is just one facet of this role. Candidates also need strong problem solving skills, exceptional communication and understanding of human behavior, and the drive to continuously improve. Redfish has the technical experience and broad network to find talent that meets all of these requirements.

Neural networks are a cornerstone of modern AI and deep learning technologies, and that creates a very competitive job market for the engineers and research scientists who specialize in this area. The complexity of the role and skills required can make it difficult for hiring teams to evaluate applicants’ expertise. Redfish recruiters leverage deep industry knowledge and innovative recruitment practices to deliver skilled talent that meets all of your requirements and justifies the often high salary expectations for these positions.

Adopting new technology also means opening the organization up to new risks and threats. To protect your assets and information, you need professionals who can identify and mitigate risks related to cyber attacks and data breaches, and who understand the legal and regulatory requirements of your technology and industry to stay in compliance. The Risk Managers, Compliance Analysts, and Security Architects in our talent database are experts in data privacy and risk management, and ready to bring that expertise to your team.

Robotics is one of the more established automation technology areas, utilized in the manufacturing sector for decades. Yet their use today is worlds beyond early implementations, and they’re employed in an ever-expanding range of sectors and domains. With demand rising for professionals with these specialized skill sets, finding and hiring the people with the exact skills you need can be a challenge, and one the recruitment experts at Redfish can help you to overcome.

From automated customer service systems to voice-controlled devices, the potential uses for speech recognition technology have expanded in recent years, and with that comes a rise in demand for Voice User Interface Designers, Language Modelers, and Speech Recognition Engineers. Working with a Redfish recruiter helps employers navigate this competitive job market and identify the right talent for your business needs.

Our successful artificial intelligence searches keep our clients happy

Full Stack Engineer

Our client, an Industrial AI company, needed a Full Stack Engineer with startup experience. Within 11 days, we found a suitable candidate with a CS background from NASA and aerospace startup experience. The position was filled in less than two weeks, meeting the client's requirements perfectly.

Backend Engineer

Redfish Technology partnered with a Digital Twin firm in the IoT sector needing a Backend Engineer skilled in data and ML/AI. Within 21 days, we identified and placed the right candidate, fulfilling the company's specialized requirements.

Senior Product Manager

Working with a leading U.S. machine learning software company, we faced high expectations for quick and effective recruitment. In just 12 days, Redfish secured a Senior Product Manager with a Master's in Predictive Analytics and experience leading a data science team.

AI Architect, Deep Learning Engineer and DevOps Engineer

Redfish partnered with a pioneering biotech startup in the Pacific Northwest focused on generative AI for drug discovery. They needed an AI Architect, a Senior Deep Learning Engineer, and a Principal DevOps Engineer with high-performance computing (HPC) experience. We outpaced competitors and secured a Deep Learning Engineer and Senior Architect with robust HPC design and deep learning expertise. Additionally, we found a rare DevOps Engineer with HPC and biotech experience, crucial for developing the startup's initial infrastructure.

We can help you hire for a variety of artificial intelligence roles

AI Analyst
AI Application Engineer
AI Architect
AI Consultant
AI Data Analyst
AI Engineer
AI Ethicist
AI Operations Manager
AI Product Manager
AI Project Manager
AI Research Scientist
AI Software Developer
AI Solutions Architect
AI System Designer
Computer Vision Engineer
Data Scientist
Deep Learning Engineer
Machine Learning Engineer
Natural Language Processing Engineer
Robotics Engineer

See what our clients say about our artificial intelligence successes

Frequently asked questions about artificial intelligence recruiting

Our engaged search process normally takes four weeks between our initial discovery call with the client and when an offer is extended. Clients get a single point of contact in our team, as well as a minimum of 20 dedicated hours each week.

The process starts with a deep dive discovery with the hiring team. This conversation focuses on two aspects: the requirements of the role and the needs and selling points of the company. Once we’ve gathered this information from the client, we use a curated four-touch candidate outreach campaign and advanced AI software to source candidates from our network. By the end of the first week, we typically have at least 5 resumes to send to clients, who get the first right of refusal on any resume sourced for their position.

Once we’ve defined the traits of the ideal candidate in our discovery call with the client, we do internal planning before going to our network. This involves separating the qualifications into “must haves” and “nice to haves”, identifying competitors that employ similar artificial intelligence professionals, and creating a targeted four-step multi-touch campaign. We then deploy this campaign across our database and 30,000+ company followers network, leveraging our contacts as well as AI software and both paid and unpaid resources to generate qualified leads. Along the way, we provide data analysis to the client that they can use to evaluate and shape the recruiting strategy and improve the efficacy of our messaging.

We first create a list of questions that target certain skills or traits based on our discovery call with the client. As candidates are interviewed, we recalibrate with the client as necessary to make sure those questions are attracting the right candidates for their needs.

We measure our artificial intelligence hire quality by considering factors like how many submitted candidates are interviewed, how long it took to make a placement, how long the candidate remains in the role, and feedback from clients.

We have a candidate retention rate of 86% across the industries and sectors we work with.

On average, it takes 4 weeks to fill a artificial intelligence role.

We utilize metrics including time to hire, resumes submitted to interviews, and interview-to-hire ratio.

Working with a recruiter allows you to hire better artificial intelligence talent more quickly, as well as saving companies the time, money, and resources they would have invested in the search. Having multiple recruiters working on a search also allows the process to be scaled, giving artificial intelligence recruiters the capability to fill multiple roles with high-quality candidates concurrently.

The main difference comes down to the scope of the search. In a artificial intelligence executive search, the process is more specific and targeted. More stringent criteria can mean that the search takes a bit longer, but with the result of a better long-term hire who perfectly meets the client’s needs. The payment terms are also different. With executive search, the client pays in installments throughout the process, rather than after the search is completed. Executive search firms may also charge per diems and expenses.

The network of artificial intelligence professionals we’ve built over 30 years in the business is our biggest differentiator. Relationships are the core of this business and we always start with our network. We also have 30,000+ followers of our company that we network through.

We give them a human-focused interaction rather than a transactional one. Our goal is to build long-term relationships, and both our clients and our candidates appreciate this personal touch.

Working with a recruiter enables you to hire the best artificial intelligence professional for the role, not just the best person in your network. The recruiting landscape has changed dramatically, and our use of AI technology, targeted messaging, and other paid and unpaid resources allows us to navigate the talent market more efficiently and at a deeper level than hiring teams can using in-house resources.

Yes, our engaged search is backed by a 60-day refund or replacement guarantee.

We start by understanding the client’s story, culture and needs through our in-depth discovery process. Next, we use this information in our screening process, and convey it to the candidates we’ve identified as a potential fit based on their skills and experience. We can also perform reference and background checks on request.

Absolutely! We want our clients and candidates to succeed, and support them throughout the hiring process. For companies, this includes helping with their job description, competitor analysis, salary ranges, and improving their interview process, as well as services like contracting, contract-to-hire, and payroll. For candidates, we help them perfect their resume and application materials and offer coaching through the interview process.

Delicately. We know the value a diverse team brings to a business and understand the crucial role recruiters play in ensuring the hiring process is free from bias. This starts by identifying areas where bias could be a factor and taking steps to ensure candidates are being fairly assessed and compared. We also observe how our clients are mitigating and preventing issues and adopt the approaches that are effective, with the goal of continuously improving the transparency, fairness, and inclusiveness of our talent sourcing and placement.

welcome feedback from clients and candidates, and feel that full disclosure and honest, transparent communication is helpful for both sides. We also serve as a conduit for feedback between clients and candidates. If an issue is sensitive, we’ll clear it with the client or candidate before starting the conversation.

Our fee is 25% of the base first-year salary of the new hire.

No. Our fee is paid in full by the client, and there is no charge for artificial intelligence candidates to work with us.

We maintain the confidentiality of both the hiring company and the candidates throughout the process. We sign NDAs at the start of a search and get guidance from our clients on what can and can’t be shared with candidates. All information we collect from candidates and companies is securely stored and protected from unauthorized access.

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