Exel

Exel

AI and Agentic Engineer II

Alameda, CA · Mid

Sponsorship not specified$152k-$215kDetected 29 days ago
JavaScriptTypeScriptPythonCode ReviewGitDatabricksVector DatabasesAWSCI/CDRESTOAuthData ScienceLLMsRAGCybersecurityTest AutomationCommunicationCollaboration

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 3 green-card filings in this occupation, 100% were for a worker who already held the job.

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 9 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

  • The base pay range for this position is $152,000 - $215,000 annually.
  • The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location.
  • The base pay offered will take into account the candidate's geographic region, job-related knowledge, skills, experience and internal equity, among other factors.

Responsibilities

  • Design and deliver end-to-end agentic applications and multi-agent workflows that automate IT and business processes.
  • Implement CI/CD pipelines, automated evaluation harnesses, observability, and artifact versioning for AI/agent workloads.
  • Author architecture notes, runbooks, SOPs, and technical documentation to support adoption, operability, and maintainability.
  • Lead prompt/spec reviews, code reviews, threat modeling exercises, and release-readiness gates.
  • Apply and evangelize secure-by-design and responsible AI principles, including data governance, privacy, and safe prompting aligned to organizational policy
  • Partner with product managers, security, and platform teams to translate business needs into scalable technical solutions
  • Performs other duties as assigned
  • Intermediate understanding of security best practices, architecture design principles, and responsible AI/data governance.

Requirements

  • It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field and 5 years of related experience
  • Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field and 3 year or related experience
  • Intermediate to Advanced proficiency in Python and/or JavaScript/TypeScript, including modular design, testing, and packaging.
  • Intermediate proficiency with agent frameworks and agentic patterns: tool use, planning/execution loops, guardrails, evaluation, and prompt/version management.
  • Intermediate proficiency building and consuming REST APIs, and integrating enterprise systems with OAuth/JWT, secrets management, and secure data handling.
  • Intermediate experience with cloud AI platforms - preferably AWS Cloud, AWS Bedrock, and Databricks Mosaic AI - and vector stores or retrieval-augmented generation (RAG) patterns.
  • No travel is required for this position.

Skills

  • Equivalent combination of education and experience.
  • Intermediate proficiency with CI/CD, automated testing (unit/integration), linting, and observability for AI applications.
  • Intermediate knowledge of AI-native engineering using Claude Code, Codex, GitHub Copilot, or equivalent coding agents.
  • Knowledge, Skills and Abilities

Compensation

  • The base pay range for this position is $152,000 - $215,000 annually.
  • The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location.

Benefits

  • Convert prototypes into hardened, production-ready services with clear specifications, modular design, robust error handling, and comprehensive test coverage.

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