Lead Microsoft365 AI Engineer responsible for architecting AI solutions on Microsoft platforms. Driving innovation and collaboration in a fintech company, Acrisure.
About the role
- Senior AI Engineer prototyping AI-powered workflows and tools for AI infrastructure startup. Collaborating with teams to create innovative AI solutions in a fast-paced environment.
Responsibilities
- Rapidly prototype AI-powered workflows and tools, incorporating LLMs, embeddings, real-time audio/voice, API integrations, and prompt engineering
- Lead experimental build cycles from hypothesis to working proof-of-concept to actionable insights
- Collaborate closely with product and engineering to translate prototypes into viable product features
- Ensure alignment with platform architecture; seek guidance before integrating prototypes into production systems
- Navigate open-ended engineering problems with creative, experimental solutions
- Share learnings and code artifacts to accelerate team-wide innovation
Requirements
- Proficiency in Python and/or JavaScript/TypeScript and ability to quickly learn new tools and frameworks
- Hands-on experience with AI systems including LLMs, API-based embeddings, vector DBs, and real-time pipelines (e.g., audio/STT-TTS)
- A bias toward action—you build, ship, iterate, and learn
- Demonstrated creativity: thinking in prototypes, not decks
- Strong communication and collaboration skills, particularly in technical cross-functional settings
- Past experience in startups, innovation labs, or “zero-to-one” product environments
- Familiarity working on AI infrastructure or backend systems, such as LLM pipelines, APIs, cloud-native services, and container orchestration
- Comfort navigating ambiguity and working across teams with minimal direction
- Experience contributing to open-source projects or public-facing engineering work
Benefits
- Direct mentorship and visibility with our CEO, who is heavily involved in product and technical strategy
- Real ownership over high-leverage projects that shape product direction and customer experience
- A culture that marries engineering rigor with experimental agility
- The opportunity to influence the AI compute infrastructure shaping next-generation workloads
- Competitive compensation with meaningful equity, benefits, and a high-trust work environment
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