Principal Full-Stack AI Engineer — Platform Architect
About the role
Job Title: Principal Full-Stack AI Engineer — Platform Architect
Location: New York, NY (Hybrid Onsite)-only locals
Duration: Long Term Contract
Job Description:
The most senior engineer on the team and the technical anchor for the platform. You design the reference architecture and personally build the hardest pieces — the lifecycle registries, the AI control-plane services that plug into the enterprise gateway, and the harness/memory services — setting the patterns the rest of the pod extends.
What You Will Do
- Own the paved road — the reference architecture and the reusable registration pattern behind every asset (registration schema, semantic metadata, I/O contract, execution binding, governance constraints) so the agent, model, tool, workflow and skill registries all share one shape.
- Personally build the hardest pieces — the lifecycle registries; the AI control-plane services that plug into the enterprise gateway (registries, PII/PHI and prompt-injection scanning as a gateway policy, token-aware metering and multi-vendor cost attribution, AI trace/observability, and the multi-provider model-abstraction layer behind its fail-over); and the harness/memory & skills services.
- Build the agent-building paved road — the scaffolds, patterns and sub-agent topologies the team uses to stand up new agents fast, including the end-to-end builder agent (architect → provision → implement → test sub-agent → deploy → post-process → log).
- Deliver platform features as agents where it fits (e.g. a lifecycle-management agent, a skills-planning agent) — so the platform builds and operates itself, not just exposes CRUD APIs.
- Enforce portability in code — containerize everything; standardize lineage on MLflow + metadata, telemetry on OpenTelemetry, table formats on Delta UniForm / Iceberg, and open-weight serving on vLLM/Ray/DeepSpeed.
- Set the engineering bar — testing, CI/CD, IaC and security-by-default standards; review the team's hardest designs and pull requests; mentor the senior engineers.
- Build with AI and build agents end to end — like everyone on the team.
What We're Looking For — Required Qualifications
- Principal-level full-stack — you build production services end to end (backend, APIs, and enough frontend to ship the registry and dev UIs) and you own systems in production.
- Distributed systems & platform engineering — Kubernetes, containers, IaC (Terraform), CI/CD, secrets/RBAC, and multi-tenant service design.
- Cloud depth with a portable mindset — strong on GCP (GKE, Vertex AI, IAM, VPC Service Controls, BigQuery), but standards-first by instinct.
- Hands-on GenAI / agentic engineering — LLM and agent runtimes, multi-agent and sub-agent orchestration, A2A and MCP/tool integration, retrieval/RAG, memory systems, and end-to-end builder agents.
- Security & governance by design — identity-aware access, PII/PHI handling, runtime guardrails, gateway/policy-as-code, and audit/observability.
- AI-assisted engineering — fluent and effective with AI coding tools (Cursor, Claude Code, Copilot, Windsurf or equivalent), and able to define the patterns and review discipline the team uses with them.
- Strong software engineering background — strong Python (and typically one of Go / Java / TypeScript).
Thanks & Regards,
Vignesh
vignesh@themesoft.com
Responsibilities
- Own the reference architecture and reusable registration pattern behind every asset.
- Build lifecycle registries and AI control-plane services.
- Deliver platform features as agents.
- Enforce portability in code and standardize lineage.
- Set engineering standards and mentor senior engineers.
- Build with AI and agents end to end.
Qualifications
- Principal-level full-stack experience.
- Experience with distributed systems and platform engineering.
- Strong cloud experience, particularly with GCP.
- Hands-on experience with GenAI and agentic engineering.
- Knowledge of security and governance by design.
- Strong software engineering background, especially in Python.
Skills mentioned
About Themesoft Inc.
Coppell based, global IT Consulting and Creative Lab firm founded in Aug 2004, Themesoft is a leading provider of in house team, out of house team, or as a somewhere in between global partner. We manage client’s information technology needs, refine and define clients digital strategy and create the digital media client’s need to communicate their vision. Our success is measured in our client’s successful realization of their vision and goals. As a global IT Consulting and Creative Lab firm, we have the global perspective and the collaborative spirit. We take the time to understand our partner’s culture, ideas and aspirations. This partnership approach allows us to take our partners farther than they ever dreamed possible. Themesoft partners with all types of businesses from small bright idea start ups to industry leaders. Our portfolio of diverse and global companies teach us something new everyday. Themesoft believes in constantly evaluating performance on every project and at the company level. We improve as we go and have committed to staying one step ahead of every curve. We truly believe that providing high level consultants and technology services requires that we maintain the same standards for ourselves. We have 9 offices located in the United States, Canada and India.