AI-Native Full-Stack Principal Engineer

ST Labs Pvt Ltd.

New York (NY)

On-site

USD 200,000 - 250,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation
Equity
Comprehensive benefits

Job summary

STLabs is seeking a Principal Software Engineer, Full-Stack AI to own the end-to-end technical vision for intelligence across our platform—from data ingestion and model reasoning to APIs and user interfaces.

This senior role combines AI systems, distributed infrastructure, and product-grade software engineering. You will architect and ship production AI systems, mentor engineers, influence product direction, and help define what applied, full-stack AI means for STLabs.

Qualifications

  • 10+ years of professional software engineering experience.
  • Proven experience with AI-native, distributed systems.
  • Hands-on with LLMs, embeddings, vector databases, and RAG pipelines.

Responsibilities

  • Architect the core intelligence layer of the platform across data ingestion, embeddings, retrieval, graph reasoning and real-time inference.
  • Define how LLMs and predictive models integrate across backend services, APIs and user-facing experiences.
  • Lead architectural decisions around model selection, evaluation, and inference infrastructure.
  • Build end-to-end AI-powered features from backend reasoning services to APIs and user workflows.
  • Mentor engineers and drive engineering best practices across the stack.

Skills

LLMs embeddings
Distributed systems
API design
Programming languages
Mentoring engineers
DevOps tooling

Tools

Vector databases
Agent frameworks
APIs
Observability tools

Job description

STLabs is seeking a Principal Software Engineer, Full-Stack AI to own the end-to-end technical vision for intelligence across our platform—from data ingestion and model reasoning to APIs and user interfaces.

This senior role combines AI systems, distributed infrastructure, and product-grade software engineering. You will architect and ship production AI systems, mentor engineers, influence product direction, and help define what applied, full-stack AI means for STLabs.

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