- Demonstrated experience designing and delivering solutions that integrate multiple systems end to end in production — with ownership from requirements through deployment.
- Strong systems and integration skills — REST APIs, identity/auth (SSO/SAML/OAuth), enterprise data flows, event-driven and ETL/ELT patterns, and the design trade-offs that keep integrated systems reliable.
- Hands-on software engineering ability (e.g., Python) and comfort building working prototypes, not only diagrams.
- Solid grounding in cloud infrastructure and networking fundamentals (AWS, Azure, or Google Cloud Platform) — compute, storage, identity, VPC/subnet and DNS concepts, load balancing, and secure connectivity — enough to design and stand up the environment a solution runs in.
- Working fluency with AI/LLM solution patterns — retrieval-augmented generation (RAG), prompt engineering, agent orchestration, human-in-the-loop design, and guardrails.
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Not Specified