Role Description We're looking for an Applied AI Engineer to drive AI implementation across our portfolio companies. This is a new role, and frankly, a new function. You won't find a playbook for this job because it doesn't exist yet. Your mandate: make sure our portfolio companies are actually using AI. Not talking about it, not "exploring" it, but deploying it in ways that move the needle. That means customer service automation, developer productivity tools, sales and marketing workflows, back-office operations, and whatever else makes sense. You'll work closely with the Managing Partner to identify opportunities, evaluate tools, and get things live. Then you'll train portco teams to own what you've built. Rinse, repeat, across every company in the portfolio. This is 80% hands-on implementation, 20% evaluation and planning. There's no playbook for this yet, at Emberline or anywhere else. The partners will be genuine thought partners as you build the function. The expectation is not that you arrive with everything figured out; it's that you're willing to figure it out alongside us. This is a high agency, high opportunity seat with the ceiling set by you. Key Responsibilities - AI Implementation - Operational Audits: Assess each portfolio company's workflows across customer service, sales, marketing, finance, and operations, then identify where AI can reduce friction, cut costs, or improve quality. - Tool Deployment: Configure and deploy AI tools (chatbots, copilots, automation platforms, etc.) across portco functions. - Workflow Integration: Connect AI tools to existing systems like CRMs, helpdesks, marketing platforms, and codebases. - Rapid Prototyping: Test new AI applications quickly. Prove value in days or weeks, not months. - Vendor & Tool Evaluation - Landscape Monitoring: Stay current on AI tooling: what's shipping, what's vaporware, what's actually production-ready. - Vendor Screening: Evaluate vendors, run trials, negotiate pricing. - Build vs. Buy Decisions: Know when to use off-the-shelf tools, when to customize, and when to build something custom. - Enablement & Knowledge Transfer - Team Training: Train portfolio company teams to use and maintain the tools you deploy. - Documentation: Build simple, usable guides for each implementation. - Cross-Portfolio Learning: What works at one portfolio company should benefit the others. - Partner Support - Weekly Syncs: Work closely with the Managing Partner to prioritize, troubleshoot, and align on roadmap. - Experimentation Partner: Test new tools and approaches alongside the Partner. Qualifications - Experience in Product Management, Solutions Engineering, Technical Operations, or similar roles. - Hands-on experience with AI/ML tools in a professional context. - Strong understanding of APIs, integrations, and how systems connect. - Excellent communication skills. - Comfort with ambiguity. - This is a remote role but on-site engagements, rapport building and investigations are a key requirement, which will require travel. First 90 Days - Audit the portfolio. - Get something live. - Build handoff documentation. - Establish a vendor shortlist. - Establish the working rhythm.

We're seeking a Principal AI Software Engineer who thrives in dynamic environments and is excited to shape the future of AI-powered intelligent applications. In this role, you'll architect, build, and deploy AI-driven systems—blending traditional ML pipelines, computer vision and audio models, and modern LLM and agentic AI approaches. You'll work across engineering and product to bring smart, contextual, and reliable AI features to production, collaborating closely with data scientists and data engineers to ensure performance, accuracy, and scalability. If you're a builder who is energized by frontier AI problems—whether with language models, vision systems, or classic predictive pipelines—and who cares deeply about ethics, usability, and long-term scalability, we'd love to meet you. WHAT YOU'LL DO - Design and implement AI applications using the most effective modality for the problem—whether structured ML models, LLMs, vision, or audio-based models. - Build intelligent systems using vector search, semantic retrieval, RAG pipelines, and agentic behavior where appropriate. - Architect and deploy context-aware services with autonomous behavior and real-time reasoning capabilities. - Contribute to core infrastructure for inference pipelines, embeddings, prompt management, and intelligent feedback loops. - Work closely with data scientists and data engineers to design, train, and serve robust, production-ready models. - Collaborate with product managers and designers to shape user-facing AI features and customer experiences. - Integrate AI-assisted developer tools into engineering workflows and internal platforms. - Ensure solutions adhere to Responsible AI principles and comply with evolving global AI regulations and privacy standards. - Lead performance tuning, observability, and failover design for critical AI services. - Operate effectively within a highly compliant environment, supporting company controls and security standards. WHAT YOU'LL BRING - 8+ years building enterprise-grade applications with deep expertise in MACH architectures, plus 3+ years developing AI/ML-powered applications using LLMs, classic ML models, or multi-modal architectures. - Strong Python programming skills with production-level API and async design experience, and fluency across multiple ML paradigms including deep learning, vision, and audio models. - Hands-on experience with LLM orchestration, RAG pipelines, embeddings, and prompt engineering, with a track record of deploying trained models at scale in collaboration with data scientists. - Proficiency deploying with Docker/Kubernetes across cloud platforms (AWS, Azure, or GCP), with familiarity in CI/CD pipelines, model versioning, A/B testing, and observability best practices. - Strong communicator who thrives in cross-functional, fast-moving environments; bonus points for experience with Event-Driven Architecture (EDA) patterns. Why join us At AbsenceSoft, we LEAD with our values: Lead with Innovation - We create meaningful change through intelligence, focus and passion. We embrace curiosity, data, and insight to shape the future of our industry. Always innovating, learning and evolving. Elevate Every Voice - Every perspective matters. We listen, learn, and build a culture where diversity of thought and experience drives better solutions and smarter decisions. Achieve Together - The customer fuels everything we do. We share knowledge, collaborate, celebrate wins, and face challenges as one team because success is always a collective achievement. Drive Outcome - Every action we take delivers measurable value to our teams, our customers, and the employees they support. Accountability is non-negotiable. We honor our commitments, take responsibility for results, and see every success and setback as a chance to grow stronger. We offer: - Impact that matters. You’ll do work that shapes the future of the modern workplace - Flexibility and trust. We’re remote-first and results driven. You’ll have the freedom and flexibility to do your best work, wherever you do it best. - Growth and development. We believe the best work happens when people are growing. You’ll have access to learning resources, leadership programs, and real opportunities to take on new challenges and expand your impact. - Competitive rewards. We offer comprehensive benefits, a performance-based bonus program, and equity opportunities – because when we grow, you should too. - Time for life. Recharge and reconnect with flexible time off, paid holidays, and flexible leave programs designed to support every season of life. - Belonging and balance. We’re building an inclusive culture where every voice is valued, collaboration is celebrated, and success is shared. We’re committed to building a team as diverse as the customers we serve. If your experience doesn’t align perfectly with every qualification, we still encourage you to apply you might be exactly what we’re looking for. If this sounds like a fit, apply today, we’d love to meet you! Final compensation is determined based on a candidate's relevant experience, skills, education, and geographic location. This position is also eligible for annual bonus.

🚀 Why Midnite? Midnite is a next-generation sports betting and gaming platform built for a new wave of players. We combine sharp product thinking, bold brand, and fast execution to create experiences that feel modern, intuitive, and built for how people actually play today. Over 400,000 players have already made the move,  and we’re only just getting started. We’re a high-performance team operating at pace. High ownership. Constant iteration. No hiding behind processes. We move quickly, test relentlessly, and turn ambitious ideas into real impact. If you’re driven, creative, and thrive in fast-moving environments where you can shape meaningful outcomes - keep reading. Not your grandad’s bookie. 👀 The Role 👀 The Role Title: Senior Fullstack Engineer (Admin & AI Enablement) Team: Admin & AI Enablement Location: Remote / London / Hybrid (TBD) This role will be a key part of building Midnite’s new internal back office platform and shaping how internal tools evolve across the business. You’ll work across the stack to deliver high-quality admin experiences used by teams every day, while also contributing to practical AI-enabled improvements in both internal tooling and engineering workflows. This is a senior individual contributor role with meaningful ownership, particularly across the frontend experience, working closely with Product, Design, and engineering teammates to build scalable systems from the ground up. You will: - Build fullstack features for Midnite’s internal back office platform. - Own features end-to-end across backend APIs and internal UIs. - Write production code across Python backend and modern frontend technologies, primarily Vue + Tailwind. - Work closely with Product and Design to implement high-quality internal experiences. - Design and build APIs as part of fullstack feature delivery. - Contribute to practical AI-enabled features and internal tooling improvements. - Explore ways AI and automation can improve engineering workflows and team efficiency. - Participate in code reviews and maintain a high quality bar across the codebase. - Mentor junior engineers and contribute to raising the technical standard of the team.

• Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools. • Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks. • Collaborate cross-functionally: Work with data analysts, product managers, and designers to shape AI-driven product features, including integration of agentic components with internal tools, alerting systems, runbooks, and developer workflows. • Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows. • Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. • Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.