Conch Technologies Inc
AI/ML Engineer
Chandler, Arizona, USA · contract, third party
Stay score
odds of building a lasting career here
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
Files H-1B transfers
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.