Halker Consulting is looking for a Software Engineer to lead AI integration and drive the development of our proprietary AI platform, the Halker Sandlot Fruition Machine. You will take ownership of an existing codebase and a prioritized backlog, transforming engineering use cases into deployed production tools that are used daily on real projects. Your work will directly impact engineering design, document management, and project execution.
What You'll Do
- Build and deploy internal tools that speed up engineering design, document management, estimating, and project execution.
- Sit with engineers to learn their pain points and turn those into working software.
- Own projects from start to finish: figure out the scope, build it, test it, ship it, fix it.
- Plug LLMs, APIs, and automation into practical systems that hold up in daily use.
- Keep existing tools running, fix what breaks, and improve things over time.
- Build feedback loops and accuracy tracking so every tool gets smarter with use.
- Present progress to the Executive team biweekly and quarterly, including ROI metrics and adoption data.
What We're Looking For
- 3+ years of Python development experience with production-deployed applications.
- Demonstrated experience building AI/ML solutions using LLMs (GPT, Gemini, Claude), computer vision, or NLP.
- Cloud platform experience (GCP preferred; AWS or Azure acceptable) including deployment and cost management.
- Experience with document processing: PDF extraction, OCR, structured data from unstructured sources.
- Web application development (Streamlit, Flask, FastAPI, or similar).
- Strong communication skills – ability to explain technical concepts to non-technical engineers and leadership.
- Self-directed and comfortable owning projects end-to-end with minimal supervision.
Nice to Have
- Experience in engineering, energy, or AEC industries (understanding of P&IDs, engineering drawings, BOMs).
- RAG (Retrieval-Augmented Generation) architecture experience.
- Experience with prompt engineering and LLM fine-tuning.
- GitHub, CI/CD pipelines, and collaborative development workflows.
Technical Stack
- Python
- Streamlit
- GCP
- LLMs (GPT, Gemini, Claude)
- Computer Vision, NLP
- OCR, PDF extraction
- Web Application Frameworks
Benefits & Compensation
- Compensation range: $105,000 - $125,000 dependent on experience.
- Medical, Dental, Vision, and other Health Benefits.
- 401K Program with Company Match.
- Professional development: Budget for conferences, certifications, and trainings.
- Work alongside industry-leading talent, flexible working environment, and fast-growing company.




