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Principal AI Platform Engineer
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-07-03
Listing for:
Saransh Inc
Full Time
position Listed on 2026-07-03
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Software Architect, DevOps, AI Reliability/ Performance Engineer
Job Description & How to Apply Below
Role: Principal AI Platform Engineer
Location: New York City, NY / Alpharetta, GA (Hybrid)
OverviewHands‑on engineering leadership role focused on AI platforms, LLM systems, and orchestration (with strong IAM/PAM alignment).
Key Skills & Background- Proficiency with:
- C programming language
- Unix/Linux systems
- Knowledge of:
- Cryptography
- Authentication & authorization concepts
- Experience working in:
- Secured enterprise environments
- Agile development teams
- Python and Perl development
- Ability to communicate technical concepts to business stakeholders
- Strong collaboration and independent execution capabilities
- Contributions to Linux/Unix/open-source projects are valued
- Knowledge of Kerberos (preferred)
- Lead hands‑on development of AI-enabled and LLM-based applications
- Build agentic and multi‑agent systems
- Design and implement orchestration architectures including:
- Function invocation
- State and memory management
- Policy‑aware execution
- Develop intelligent agent workflows using:
- Prompt design
- Grounding strategies
- Tool orchestration layers
- Own full‑stack AI system architecture: APIs, data pipelines, model serving and observability
- Ensure performance, scalability, and reliability across environments
- Embed secure‑by‑design principles, including:
- Access controls
- Logging and traceability
- Explainability
- Human‑in‑the‑loop safeguards
- Drive reviews, mentoring, and best practices for AI engineering
- Hands‑on platform engineering experience end‑to‑end
- Deep expertise in:
- LLMs and model lifecycle
- Prompt engineering and grounding
- Hallucination mitigation
- Strong system design experience including:
- Multi‑agent architectures
- Distributed systems
- Cloud‑native development
- LLM frameworks and orchestration
- Cloud platforms and APIs
- Distributed systems design
- AI governance framework
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