Job Opportunities API

Overview 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