Inherent Technologies

Inherent Technologies

Full Stack Engineer with Agentic AI

Buckingham, Dallas

Sponsorship not specifiedDetected 126 days ago
PythonGoBackend DevelopmentFull-Stack DevelopmentAgentic AI

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

29% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 2 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: JP MORGAN CHASE · JPMorgan ChaseFiles as an H-1B dependent employer.

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Position: Full Stack Engineer with Agentic AI Location: Richardson, TXHybrid Duration: 1 Year Key Responsibilities Design and develop scalable full stack applications using Python and Golang Build and integrate AIML models and agent based systems using frameworks like Crew AI Develop backend services APIs and microservices architecture for high-performance
  • systems Collaborate with cross functional teams to translate business requirements into technical solutions Ensure code quality performance …

This listing is sourced directly from Inherent Technologies's careers page and normalized into a canonical job model.