Principal AI Platform Engineer
Saransh Inc
📍 New York, New York, United States, UN0💼 Contract🕐 6/11/2026
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Role overview
Saransh Inc is hiring for the Principal AI Platform Engineer role in New York, New York, United States, UN. It is contract, Lead level, in the Tech sector. It was posted 6/11/2026.
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- Role
- Principal AI Platform Engineer
- Company
- Saransh Inc
- Location
- New York, New York, United States, UN
- Work mode
- On-site
- Employment
- Contract
- Seniority
- Lead
- Sector
- Tech
- Posted
- 6/11/2026
Description
Role : Principal AI Platform Engineer
Location: New York City, NY / Alpharetta, GA (Hybrid)
Overview
Hands-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
Engineering Skills
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)
Core Responsibilities
AI / LLM Platform Engineering
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
AI Engineering & Integration
Develop Intelligent Agent Workflows Using
Prompt design
Grounding strategies
Tool orchestration layers
Platform Ownership
Own Full-stack AI System Architecture
APIs
Data pipelines
Model serving and observability
Ensure performance, scalability, and reliability across environments
Security & Governance
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
Required Skills
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
Key Technologies / Areas
LLM frameworks and orchestration
Cloud platforms and APIs
Distributed systems design
AI governance framework
The market for this role
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