Applied AI Specialist

Swans • Miami, FL

1d • Remote

About The Position

If you are obsessed with AI and love turning cutting-edge tools into real, deployed systems that people actually use, this is your role. Not research, not demos - implementation. You will be the person who brings AI into our clients' organizations and makes it stick.
At Swans, we are assembling a team of "Avengers": technical problem-solvers who walk into organizations, identify where AI can unlock the most value, and build and deploy the systems that make it happen.
About Swans
Our Company: We are a fast-moving consulting & implementation agency that improves the way US law firms use technology to deliver better services to their clients.
Our Team: We're currently an international team of 10 and expect to grow to 30+ in the next 12 months.
Our Culture: We are energetic, no-BS, intense, results-oriented, and driven to change our industry forever.
What you'll actually do
AI adoption is the single biggest unlock for the organizations we work with - and the gap between "we have access to AI tools" and "AI is embedded in how we work" is enormous. Your job is to close that gap.
You will deploy AI solutions that are practical, safe, and built to last. This means working across the full stack of modern AI implementation: custom integrations, automation workflows, LLM-powered tools, and hands-on enablement with client teams. You will build the connectors, agents, and workflows that make AI actually work inside our clients' existing systems - and you will help our internal team move faster with AI as well.
Your primary toolkit will be the Claude and Google ecosystems, and you will stay at the cutting edge of what is possible with both.
Day in the life
You are embedded in client engagements and internal projects simultaneously. On the client side, you are building custom AI integrations, deploying workflows, and running enablement sessions that drive real adoption. Internally, you are the person who helps the team move faster by identifying and deploying new AI capabilities as they emerge.
No two weeks look the same. One week you are building a custom MCP connector to pipe client data into an AI workflow. The next you are deploying a Make automation that replaces hours of manual work. The week after that you are running a training session that changes how a team of 10 people does their job.
You are not a researcher or a prompt engineer. You build things, deploy them, and make sure they work.
Why this changes everything for you
If you are a high-performer frustrated by corporate bureaucracy, endless approvals, and career ladders based on tenure, this is your off-ramp. We are an anti-bureaucratic team for ambitious professionals who want their impact measured by results, not by time-in-seat.
If you are someone who has been doing AI work and loves the pace of the field but wants to actually see your work deployed and making a difference - rather than sitting in a research pipeline - this is your place. You will ship constantly, learn constantly, and own your outcomes.
What we need
Applied AI expertise - You are deeply familiar with the current AI landscape and know how to deploy it practically. You follow what is happening with LLMs closely and apply new capabilities fast.
Builder mentality - You do not just advise. You build the integrations, configure the tools, and deploy the systems yourself.
Technical breadth - You are comfortable working across APIs, automation platforms, and AI frameworks without needing a dedicated engineer to support you.
Autonomy - You can identify what needs to be built, figure out how to build it, and deliver without being micromanaged.
Enablement mindset - You genuinely enjoy helping others use AI effectively and can translate complex capabilities into practical habits for non-technical teams.
Curiosity - The field moves fast. You move with it.
Communication skills - You can explain AI concepts clearly to non-technical stakeholders. Client-facing experience is a plus, not a requirement.
Professional English fluency - B2 level at a minimum.
Ideal background
2-5 years of experience deploying AI tools and systems in a professional context
Background in any industry is welcome. Experience in professional services, consulting, or agencies is a strong plus, as is prior client-facing experience
Ideally from a company of 50-200 people where you wore multiple hats
Hands-on experience with LLMs and the Claude and/or Google AI ecosystem (e.g. Gemini, AI Studio, Claude API)
Experience building and deploying automation workflows (e.g. Make, n8n, Zapier)
Experience working with REST APIs and building custom integrations
Familiarity with MCP (Model Context Protocol) or similar custom connector frameworks is a strong plus
Experience building custom AI agents, GPTs, or AI-powered tools
Comfort working with CRM and operational data as AI inputs
Experience helping teams adopt and embed AI tools into their daily workflows
Note: We do not expect candidates to have ALL of the above. We care far more about a genuine builder track record and AI fluency than a perfect checklist.
Portfolio or examples of past projects strongly preferred - show us something you built and deployed, an integration you designed, or an AI workflow that drove a real outcome.
This role will NOT be a fit if
You are looking for a pure research or R&D role - this is implementation, not experimentation
You have strong opinions about AI but have not actually deployed systems that real people use
You are looking for a "chill" 40-hour job environment - this role is intense and you will be pushed daily
You prefer to be assessed on inputs - this role requires you to own your outputs and your clients' results
You need a structured, predictable corporate environment - priorities can shift quickly and we have zero tolerance for bureaucracy or office politics
Location & schedule
Fully Remote, with quarterly in-person meetups in locations chosen by popular team vote (potential lineup: USA, Tokyo, Dubai, Bangkok)
Flexible schedule, but availability required for client meetings Mon-Fri, morning US hours (afternoon-evening Eastern European Time)
We operate in focused 4-week sprints with clear goals and success metrics. You will own concrete outcomes every sprint - AI tools deployed, integrations live, adoption measurably improved.

Compensation
Competitive salary
Performance-based bonus & promotion path
Flexible benefits
Career-defining growth investment: we spent over $200,000 on team development last year - executive coaching, certifications, and training that accelerates your career beyond any traditional path
Our Mission
The legal industry is broken - outdated, overpriced, and structurally rigged against innovation and access. Today, 92% of low-income households cannot afford legal help, and meaningful reform is blocked by laws that prohibit non-lawyers from owning or operating law firms.
Our mission is to change that. By equipping law firms with cutting-edge tech and world-class operations, we will push the industry 10 years forward - delivering faster, better, and more affordable legal services at scale.
Swans Core Values
Value alignment is non-negotiable. Because of the close collaboration with the founding team and the direct impact on clients, it is essential that you genuinely connect with and embody our commitment to our core values:
Relentless Excellence: "We pursue mastery in every detail, not for perfection's sake, but because success with our clients and mission requires it."
Radical Integrity: "We choose transparency, honesty, and accountability, not for virtue's sake, but because trust is the only way our work succeeds."
Sincere Care: "We care enough to anticipate needs and act with empathy and intention, because genuine connection drives everything we build."
Our standards are high - historically, less than 0.5% of candidates possess the rare combination of technical aptitude, client-facing skills, and cultural alignment we require.

Requirements

• Applied AI expertise - You are deeply familiar with the current AI landscape and know how to deploy it practically. You follow what is happening with LLMs closely and apply new capabilities fast.
• Builder mentality - You do not just advise. You build the integrations, configure the tools, and deploy the systems yourself.
• Technical breadth - You are comfortable working across APIs, automation platforms, and AI frameworks without needing a dedicated engineer to support you.
• Autonomy - You can identify what needs to be built, figure out how to build it, and deliver without being micromanaged.
• Enablement mindset - You genuinely enjoy helping others use AI effectively and can translate complex capabilities into practical habits for non-technical teams.
• Curiosity - The field moves fast. You move with it.
• Communication skills - You can explain AI concepts clearly to non-technical stakeholders. Client-facing experience is a plus, not a requirement.
• Professional English fluency - B2 level at a minimum.
• 2-5 years of experience deploying AI tools and systems in a professional context

Nice To Haves

• Background in any industry is welcome. Experience in professional services, consulting, or agencies is a strong plus, as is prior client-facing experience
• Ideally from a company of 50-200 people where you wore multiple hats
• Hands-on experience with LLMs and the Claude and/or Google AI ecosystem (e.g. Gemini, AI Studio, Claude API)
• Experience building and deploying automation workflows (e.g. Make, n8n, Zapier)
• Experience working with REST APIs and building custom integrations
• Familiarity with MCP (Model Context Protocol) or similar custom connector frameworks is a strong plus
• Experience building custom AI agents, GPTs, or AI-powered tools
• Comfort working with CRM and operational data as AI inputs
• Experience helping teams adopt and embed AI tools into their daily workflows

Responsibilities

• Deploy AI solutions that are practical, safe, and built to last.
• Build the connectors, agents, and workflows that make AI actually work inside our clients' existing systems
• Help our internal team move faster with AI as well.
• Build custom AI integrations
• Deploy workflows
• Run enablement sessions that drive real adoption.
• Identify and deploy new AI capabilities as they emerge.

Benefits

• Competitive salary
• Performance-based bonus & promotion path
• Flexible benefits
• Career-defining growth investment: we spent over $200,000 on team development last year - executive coaching, certifications, and training that accelerates your career beyond any traditional path

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed