Senior AI Engineer: Stitch Studio

As a Senior AI Engineer at Stitch Studio, you will be a key founding team member shaping the architecture and development of the next generation of AI solutions for the insurance industry. The role offers significant autonomy to make critical technical decisions that will directly influence the company's products. You will work at the intersection of advanced LLMs, domain-specific knowledge graphs, and no-code solutions in a mission-driven environment focused on responsible AI.

Responsibilities
Architect & Develop: Lead the design and development of scalable Python services and APIs for a no-code AI platform.

Own the Core Tech Stack: Drive architectural decisions around data ingestion, retrieval-augmented generation (RAG), and secure single-tenant deployments.

AI Integration: Collaborate with AI specialists to incorporate LLM-based features (e.g., chatbots, knowledge extraction) into production-ready Python applications.

Performance & Scalability: Optimize backend systems for low-latency data access, high throughput, and secure data governance.

Infrastructure & Deployment: Refine CI/CD pipelines, container orchestration (Docker, Kubernetes), and cloud infrastructure (AWS, Azure, or GCP).

Security & Compliance: Work with compliance teams to ensure best practices around data privacy, encryption, and regulatory requirements (e.g., SOC2).

Mentorship & Leadership: Provide technical guidance to junior and mid-level engineers, fostering a culture of growth and innovation.

Requirements
Experience: 5+ years of professional experience writing production-grade Python code, with a deep understanding of frameworks like FastAPI, Flask, or Django.

Architectural Vision: A proven track record of designing robust, scalable systems, tackling complex data flows, integrations, and security.

Cloud & DevOps Skills: Experience with AWS, Azure, or GCP, along with comfort using container technologies (Docker, Kubernetes) and CI/CD pipelines.

Database Proficiency: Strong knowledge of both SQL and NoSQL databases; familiarity with vector databases (e.g., Elasticsearch, Pinecone) is a plus.

AI/ML Integration: Past experience integrating AI/ML models into applications is highly valued.

Startup DNA: Comfortable with ambiguity and rapid iteration; a hands-on problem solver who thrives in a lean, fast-paced environment.

Domain Interest: Excitement about transforming the insurance industry is a plus.