Conch Technologies Inc

Conch Technologies Inc

AI/ML Engineer

Chandler, Arizona, USA · contract, third party

Sponsorship not specifiedDetected 92 days ago
PythonMachine LearningTensorFlowPyTorchNLPLLMsAgentic AIResearchCommunicationCollaborationProblem Solving

Stay score

odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
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.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

82% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 29 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Williams Sonoma · Blue Cross Blue Shield OF Michigan · AMERICAN EXPRESSFiles as an H-1B dependent employer.

Files H-1B transfers

11 transfer filings in the last year, covering 11 workers. Median labor-condition decision: 261 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.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Conduct in-depth analysis of LLM performance and identify areas for improvement within the context of agentic tasks.
  • Stay up-to-date with the latest advancements in AI, machine learning, and specifically in the areas of agentic systems and large language models.
  • Strong foundation in the principles of artificial intelligence, machine learning, and deep learning.

Responsibilities

  • Design, develop, and implement the behavioral logic and decision-making frameworks for autonomous AI agents.
  • Develop and maintain robust evaluation metrics and testing frameworks to assess agent performance and behavior.
  • Collaborate with research scientists and other engineers to explore novel approaches in agentic AI and LLM applications.
  • Contribute to the development of our AI platform and infrastructure to support the deployment and scaling of intelligent agents.
  • Document design specifications, implementation details, and experimental results.

Requirements

  • Proven experience in designing and implementing complex software systems, preferably in the context of AI agents or robotics.
  • Good to have. experience in building Agents using Google Gemini Vertex tool set Hands-on experience with large language models (LLMs) and their application to various tasks.
  • Preference for Gemini LLMs Experience with LLM tuning techniques and frameworks (e.g., Hugging Face Transformers, PyTorch, TensorFlow, Vertex AI).
  • Strong programming skills in Python and experience with relevant AI/ML libraries and frameworks.
  • Familiarity with simulation environments for training and evaluating AI agents.
  • Experience with cognitive architectures or symbolic AI approaches.

Skills

  • Engineer - Agentic Behaviour & LLM Tuning Location:
  • NC/ Chandler, AZ (Onsite Day 1) Duration:

Benefits

  • Implement various LLM tuning techniques, including fine-tuning, prompt engineering, reinforcement learning from human feedback (RLHF), and other advanced methodologies.

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