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.

Title: Staff Applied AI Engineer Location: Westminster, CO Job Description: Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. We are seeking a hands-on Staff-level Applied AI Engineer to build the next generation of decision intelligence within our mission planning systems. This role focuses on learning from historical mission data, quantifying economic outcomes, and improving planning decisions through optimization and machine learning. You will operate as a roving specialist across our engineering organization, working at the intersection of data, algorithms, and operational systems to unlock measurable business impact. This is not a generic AI role. You will be solving real-world constrained optimization problems with direct revenue implications. The next generation MPS system doesn’t just automate—it needs to both think and act. With AI built in, MPS will function as a digital operator capable of scheduling tasks on specific sensors and autonomously managing and optimizing constellations, while keeping human operators in the loop with auditable controls. Cybersecurity must be engineered in—not bolted on. The system will align to zero trust principles and modern DevSecOps practices to accelerate accreditation and deployment across missions. An open architecture and integrated data layer will enable secure collaboration with allies without sacrificing security. This system must be cloud-native and capable of operating from anywhere. With remote access and seamless integration across terrestrial and space-based networks, operators will compress satellite tasking cycles from days to minutes while maintaining secure operations (potentially) globally. What You’ll Do • Develop models to attribute revenue to individual collection plans • Build counterfactual and simulation frameworks to evaluate alternative strategies • Design decision-support systems used daily by mission planners • Apply optimization, reinforcement learning, and heuristic approaches • Map system complexity and identify efficiency improvements • Rapidly prototype solutions using AI-assisted development tools • Collaborate across engineering, data, and product teams · Engineer AI-driven capabilities that enable MPS to act as an autonomous or semi-autonomous operator, balancing automation with human-in-the-loop control · Design and build systems aligned to zero trust and DevSecOps principles, ensuring security is foundational—not an afterthought · Contribute to open architecture and integrated data layer strategies that enable secure collaboration with partners and allied systems · Build and deploy cloud-native solutions that enable remote mission operations and dramatically reduce planning cycle times What Success Looks Like (12–18 Months) • A decision-support system is actively used by planners in daily operations · Vantor can quantify revenue at the level of individual collection plans · Teams can evaluate alternative planning strategies with measurable economic outcomes · Early-stage learning systems (optimization / RL) are improving planning performance over time Minimum Qualifications • 5+ years building data-driven or ML-powered systems • Strong Python or similar programming skills • Experience with optimization, simulation, or decision systems • Ability to work in complex problem spaces • U.S. Citizenship required · Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Operations Research, Engineering, or a related field Preferred Qualifications • Experience with operations research or reinforcement learning • Background in decision science or economics • Experience with simulation environments • Familiarity with geospatial or satellite systems • Experience in mission-critical or ITAR environments Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. ● The base pay for this position within Colorado is: $124,000.00 - $206,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions. The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.