Software Engineer - AI & Workflow Automation

Halker Consulting

$105K — $125K *
Energy & Utilities
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of Python development experience with production-deployed applications
  • Experience building AI/ML solutions using LLMs, computer vision, or NLP
  • Familiarity with cloud platforms (GCP preferred; AWS or Azure acceptable) for deployment and cost management
  • Experience in document processing including PDF extraction and OCR
  • Web application development skills (Streamlit, Flask, FastAPI, or similar)
  • Strong communication skills for technical and non-technical audiences
  • Self-directed with capability to manage projects independently

Responsibilities

  • Develop and deploy internal tools to enhance engineering design and project execution
  • Collaborate with engineers to identify pain points and convert them into software solutions
  • Manage projects from inception to completion, including scoping, building, testing, and shipping
  • Integrate LLMs, APIs, and automation into practical, daily-use systems
  • Maintain and improve existing tools for ongoing functionality
  • Create feedback loops and accuracy tracking for continuous tool enhancement
  • Report progress and metrics to the Executive team biweekly and quarterly

Benefits

  • Medical, Dental, Vision, and other health benefits
  • 401K program with company match
  • Professional development budget for conferences, certifications, and training
  • Opportunity to work with industry-leading talent in a flexible environment
  • Involvement in shaping technology direction at a fast-growing company
Full Job Description
About the Role:

As the lead Software Engineer for AI Integration, you will be the primary developer of the Halker Sandlot Fruition Machine - our proprietary AI platform - that takes engineering use cases from idea to deployed production tools. You will inherit an existing codebase (Python, Streamlit, GCP) and a prioritized backlog of use cases across several engineering disciplines. The goal is to build, test, and deploy tools that real engineers use on real projects every day. You are the builder who turns blueprints into buildings. The "blueprints" are already drawn - the use cases are scored, MVPs are defined, and SME partners are identified. Your job is to make them real!

Essential Duties and Responsibilities:

  • Build and deploy internal tools that speed up engineering design, document management, estimating, and project execution which could include
    • Extracting data from P&IDs
    • Validating drawing packages
    • Generating cable schedules
    • Comparing BOMs
    • Automating QA/QC checks across engineering disciplines
  • Sit with engineers (who are not software people) 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 actually 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, creating the proprietary dataset that becomes Halker's competitive moat
  • Present progress to the Executive team biweekly and quarterly, including ROI metrics and adoption data


Minimum Requirements:

  • 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, Flaks, 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


Preferred Qualifications:

  • 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


Compensation and Benefits:

  • Compensation (i.e. Base Salary): $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, while building a team and shaping the technology direction of Halker


Be Adaptable ~ Be Collaborative ~ Be Humbly Confident ~ Hustle ~ Take Ownership ~ Be Service Focused ~ Show Ingenuity

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