AI Software Engineer

Location: Livermore, CA

C2H - 6+ months

Pay Rate: $75 - $105 per hour

General Description
This is a hands-on builder role for an engineer who understands that software development itself is changing. You'll use AI as a core development partner; leveraging AI agents and tools to accelerate delivery, raise quality, and iterate faster. You won't work in isolation; you'll be a key contributor on a small, high-impact AI team, partnering with business stakeholders and AI leaders across the organization.

Responsibilities

We are hiring an AI Software Engineer (AI-Native Builder) to design, prototype, and deliver AI-driven solutions that create measurable business value. You'll work closely with the Data, IT, and Value Capture Leadership to evaluate opportunities, build quickly, and scale AI delivered solutions into production.

This is a hands-on builder role for an engineer who understands that software development itself is changing. You'll use AI as a core development partner; leveraging AI agents and tools to accelerate delivery, raise quality, and iterate faster. You won't work in isolation; you'll be a key contributor on a small, high-impact AI team, partnering with business stakeholders and AI leaders across the organization.

The ideal candidate pairs strong engineering fundamentals with curiosity, business awareness, and the ability to move quickly from concept to working solution.

IN THIS ROLE YOU WILL

Solution Development & Delivery

Design, prototype, and deliver AI-enabled applications that solve real business problems.
Build rapid proof-of-concepts to validate ideas, then evolve them into production-ready solutions.
Contribute across the stack as needed: data pipelines, APIs, integrations, and application logic.

AI-Native Engineering

Use AI coding tools and agents to accelerate development and improve quality.
Work inside AI-driven development workflows (generate review refine) to produce high-quality deliverables.
Review and validate AI-generated code, queries, and designs for accuracy and scalability.
Help define and improve AI-assisted development practices within the team.

Architecture & Integration

Support the design and implementation of solutions that integrate with enterprise systems (ERP, data platforms, APIs).
Work with data models, ETL pipelines, and cross-system integrations.
Apply established patterns and standards for scalable, maintainable solutions.

Opportunity Evaluation & Business Partnership

Partner with business stakeholders and AI leadership to evaluate and shape potential use cases.
Translate business needs into technical approaches and working prototypes.
Help assess feasibility, value, and scalability of AI solutions.

Collaboration & Continuous Improvement

Work closely with the AI Director and engineering team to deliver against prioritized initiatives.
Communicate progress, tradeoffs, and challenges clearly to both technical and non-technical audiences.
Document solutions and approaches for reuse and scalability.
Continuously learn and apply new AI tools, patterns, and techniques.

Note: this is a software engineering role that uses and integrates AI. It's not a model research, ML training, or data science position.

BASIC QUALIFICATIONS

Bachelor's or Master's degree in Computer Science, Data Science preferred or a related technical field or equivalent experience
Minimum 5 years of software engineering experience
Track record of building and delivering production software applications
Familiarity with AI/ML or LLM-based application development
Hands-on use of AI coding tools (e.g., Copilot, ChatGPT, Claude, Cursor) in real development workflows
Strong programming skills: Python preferred; SQL required
Experience with APIs, data pipelines, or system integrations
Solid grasp of the software development lifecycle and version control (e.g., GitLab)
Comfort working in a fast-moving, ambiguous environment with guidance
Strong problem-solving and communication skills
Intellectual curiosity: uses AI as a research partner to explore standards, compare approaches, and build domain understanding

PREFERRED QUALIFICATIONS

Experience with LLMs, embeddings, or RAG-based architecture
Background in data engineering, analytics, or enterprise systems
Exposure to ERP, data warehouse, or manufacturing systems
Prior work on prototypes or early-stage product development
Familiarity with modern data tools (e.g., dbt, Prefect, Postgres)

WHAT SUCCESS LOOKS LIKE

Consistent delivery of working AI solutions that address real business needs
Effective collaboration with AI leadership and business stakeholders
High-quality, maintainable code and solutions that scale beyond prototypes
Growing speed and effectiveness using AI to build and iterate
Contributions to reusable patterns and team capability over time

WORK ENVIRONMENT

Ability to lift 25 lbs.
Regularly required to sit, stand, and walk and occasionally kneel or squat
Prolonged periods of sitting/standing at a desk and working on a computer
The ideal candidate must be able to complete all physical requirements of the job with or without a reasonable accommodation.
5% travel required
Standard start time: 6:30 am (negotiable)
Must be able to navigate manufacturing environment, comfortable around heavy machinery, tools, etc.
Must be able to wear Personal Protective Equipment, (i.e. safety glasses, bump caps, hearing protection, etc.)

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.

Ledgent Technology

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