Lead AI Full-Stack Engineer — Build Production AI Systems

Sahaj Software

Austin (TX)

On-site

USD 150,000 - 240,000

Full time

14 days+
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Job summary

Sahaj Software is seeking a highly experienced engineer for a deeply technical Lead Engineer role, translated internally to Solution Consultant. The work centers on building data-heavy, distributed systems and AI-powered software with near-constant coding presence.

The position emphasizes deep engineering impact, minimal process, and ownership across a global product footprint, including production-grade AI integrations and scalable architectures.

Qualifications

  • Applicants must be a Green Card holder (Permanent Resident).
  • We are unable to transfer/sponsor new H-1B visas or accept applicants who require future visa sponsorship.
  • We are also unable to consider candidates currently on OPT even if you have started the H-1B process.

Responsibilities

  • Design and build systems that deal with real-world complexity (not toy problems).
  • Write production code frequently, not just review or direct.
  • Build services and applications that interface with modern AI stacks - model APIs, embeddings, vector databases and other AI capabilities.
  • Ship robust, production-level AI-powered systems.
  • Work across languages when needed, not just your comfort zone.
  • Break down messy problems into clean, maintainable systems.
  • Push back on bad ideas, including ours.
  • A “review-only” architect.
  • Someone removed from the code.
  • Someone whose job is primarily model training or ML research.

Job description

Sahaj Software is seeking a highly experienced engineer for a deeply technical Lead Engineer role, translated internally to Solution Consultant. The work centers on building data-heavy, distributed systems and AI-powered software with near-constant coding presence.

The position emphasizes deep engineering impact, minimal process, and ownership across a global product footprint, including production-grade AI integrations and scalable architectures.

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