Swans - Applied AI Specialist
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Requirements
• Professional English fluency - B2 level at a minimum. • Professional English fluency • Ideal background • 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 • any industry • professional services, consulting, or agencies • 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) • LLMs and the Claude and/or Google AI ecosystem • Experience building and deploying automation workflows (e.g. Make, n8n, Zapier) • automation workflows • Experience working with REST APIs and building custom integrations • REST APIs • custom integrations • Familiarity with MCP (Model Context Protocol) or similar custom connector frameworks is a strong plus • MCP (Model Context Protocol) • Experience building custom AI agents, GPTs, or AI-powered tools • custom AI agents, GPTs, or AI-powered tools • Comfort working with CRM and operational data as AI inputs • CRM and operational data • 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. • Note: • 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 • intense • You prefer to be assessed on inputs - this role requires you to own your outputs and your clients' results • outputs • You need a structured, predictable corporate environment - priorities can shift quickly and we have zero tolerance for bureaucracy or office politics • Location & schedule • Location & schedule • Fully Remote, with quarterly in-person meetups in locations chosen by popular team vote (potential lineup: USA, Tokyo, Dubai, Bangkok) • Fully Remote • Flexible schedule, but availability required for client meetings Mon-Fri, morning US hours (afternoon-evening Eastern European Time) • Flexible schedule • 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. • focused 4-week sprints
Benefits
• 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. • 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. • Performance-based bonus & promotion path • 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 • 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.
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