• Be the first technical hire at a cider company betting big on AI. Build tools that move the business forward. • Learn each business function deeply - sit with teams until you understand how their work actually happens • Partner with department managers to develop technical solutions to problems they've already identified • Proactively ideate on problems we haven't thought to solve yet - automations, data products, integrations • Ship aggressively using AI coding tools and low/no-code platforms - own the full lifecycle from scope to deployment • Document lightly so non-technical teammates can self-serve where it makes sense.

• Conduct research and development of novel AI/ML concepts, algorithms, and techniques to advance space and missile defense capabilities • Lead the design, development, and testing of scalable AI/ML software prototypes for space and missile defense using large-scale datasets • Interface with customers and stakeholders to gather mission requirements, present technical solutions, and ensure project alignment • Mentor and guide junior engineers, fostering a culture of technical excellence and collaboration • Track project milestones and budgets, ensuring timely and quality outcomes • Support proposal-writing activities and thought leadership opportunities • Engage in continuous learning and professional development to stay at the forefront of AI/ML advancements, space domain technologies, and relevant emerging R&D trends

• Lead the design, development, testing, and deployment of AI/ML software prototypes. • Own technical direction and architecture for assigned efforts and ensure consistency across projects. • Drive technical planning, estimation, and execution across customer-funded and internal R&D efforts, including defining and tracking technical milestones and deliverables. • Conduct design and code reviews to ensure quality, scalability, and maintainability. • Identify and manage technical risks related to data, models, system integration, and dependencies. • Serve as the primary technical interface with customers, presenting designs, results, and tradeoffs clearly. • Lead and mentor a team of engineers, supporting team growth, capability development, and scaling of engineering practices. • Improve team effectiveness through structured planning, clear prioritization, and timely resolution of technical and organizational blockers. • Ensure engineering efforts align with customer needs and company objectives. • Lead or contribute to proposal development, including shaping technical approaches, estimates, and solution strategies.

• Agentic System Design: Design, build, and maintain production-grade agentic systems, multi-agent orchestration, specialist agents, and Human-in-the-Loop workflows, with context management, memory, and tool-calling. • MCP & Tool Integration: Develop MCP servers and tool integrations connecting AI agents to Teak's platform APIs and partner systems. • LLM Integration & Output Control: Orchestrate LLMs (Claude, GPT, Gemini, or similar) across the AI layer, selecting the right model per task and managing prompt and system-prompt strategies so agents present refund solutions in pre-approved, compliant language. • RAG & Knowledge Systems: Build RAG pipelines that ground agent responses in Teak's policy and product data, with versioning and isolation that prevent hallucination on compliance-sensitive topics. • Compliance & Safety: Implement guardrails that enforce compliant offer language, prevent unauthorized coverage claims, and meet regulatory requirements across Teak's markets. • Evaluation: Build evaluation frameworks to monitor, test, and continuously improve agent performance, reliability, and output quality. • AI Infrastructure & Observability: Build and operate AI infrastructure on AWS, with structured logging and tracing for auditability and rapid issue resolution. • Backend Development: Contribute to backend services, APIs, and platform improvements in Python alongside AI work, applying clean code, testing, and strong engineering fundamentals. • Collaboration & Code Quality: Participate in code reviews, document agent system design and integration patterns, take part in Agile workflows, and join the on-call rotation.