We're hiring an AI Engineer to build and ship production AI systems - not research prototypes. Startup experience is a must: we want someone who has shipped fast in a small team, owned systems end-to-end, and is comfortable with ambiguity. Big-company-only resumes won't be a fit.
You will own: - RAG pipelines and agentic workflows (end-to-end accuracy) - GPU-optimized model deployment (Trident-style architecture) - Production MLOps: distillation, fine-tuning, training orchestration - Data modeling for AI persona capabilities - The infra around it: Docker, CI/CD, logging, monitoring, observability
You should have: - 3-12 years shipping AI/ML in production (notebooks do not count) - Time at a startup or scale-up where you owned what you built - Strong Python; bonus for C++/Java/C# in performance-critical paths - Hands-on with RAG, MLOps tooling, and GPU deployment at scale
W2 full-time. Must be authorized to work in the US. No remote, no C2C.
Apply: saikumar@engineeringsquare.us (subject: "AI Engineer - [Your Name]")