- Company Name
- Hadron Energy, Inc.
- Job Title
- Artificial Intelligence Engineer
- Job Description
-
**Job Title:** Artificial Intelligence Engineer
**Role Summary:**
Design, develop, and deploy AI‑driven tools and automation systems that enhance productivity, streamline engineering workflows, and support decision‑making across an organization focused on clean energy technology.
**Expactations:**
- Deliver measurable process efficiencies and automation gains.
- Build and integrate large‑language‑model (LLM) and task‑specific AI solutions.
- Maintain high data quality, system reliability, and compliance with security standards.
**Key Responsibilities:**
- Engineer scalable AI tools and software agents to automate routine tasks and improve workflow coordination.
- Collaborate with engineering, operations, and executive stakeholders to identify automation opportunities and translate them into production‑ready AI solutions.
- Train, fine‑tune, and deploy LLMs and other machine‑learning models into internal knowledge platforms.
- Design and maintain APIs, data pipelines, and integration frameworks that connect distributed tools and functional departments.
- Build intelligent assistants for documentation, task tracking, and data analysis.
- Prototype, iterate, and evaluate internal AI products supporting design, regulatory documentation, and project scheduling.
- Monitor model performance, ensure data integrity, and implement continuous improvement measures.
- Stay abreast of emerging AI technologies and best practices; recommend integration strategies.
- Coordinate with IT and cybersecurity teams to secure AI deployments and uphold ethical standards.
- Document progress and present quantified ROI to leadership.
**Required Skills:**
- Proficiency in Python and JavaScript (or equivalent).
- Experience with TensorFlow, PyTorch, or scikit‑learn.
- Familiarity with LLMs, generative AI, and agentic frameworks (LangChain, OpenAI API, Anthropic, etc.).
- Proven ability to build automation workflows using APIs, webhooks, and integration tools (Zapier, Make, or custom pipelines).
- Solid understanding of data engineering, API design, and systems integration.
- Prior development of productivity or workflow automation tools for cross‑functional teams.
- Strong analytical, problem‑solving, and communication skills.
- Initiative, adaptability, and curiosity for applying AI in industrial contexts.
**Required Education & Certifications:**
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
San francisco bay, United states
On site
Mid level
11-01-2026