Senior Software Engineer - AI Applications

Mears Group, Inc.
Englewood, CO, United States
19 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$100,000.0 - $120,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Airflow Amazon Web Services Automation of Tests Microsoft Azure Cloud Computing Code Review Continuous Integration Corona (Software Development Kit) Information Engineering Extract Transform Load (ETL)
+33 more
Desktop Computing Python (Programming Language) Modular Design NoSQL Object-Oriented Software Development Performance Tuning Primavera Software Maintenance Power BI Cloud Services OneStream Tensorflow Azure Machine Learning Software Engineering SQL Databases Systems Integration Web Applications Reinforcement Learning Enterprise Software Applications Test-Driven Development (TDD) Microsoft Power Automate Pytorch Retrieval-Augmented Generation Transfer Learning Large Language Models Apache Spark Git AI Platforms Information Technology Machine Learning Operations Restful APIs GPT Data Pipelines

Job description

We’re looking for an experienced software engineer who enjoys solving business problems through modern software development and practical applications of AI. You’ll design and build enterprise applications that leverage technologies such as Azure OpenAI, Microsoft Copilot, ChatGPT, Claude, and other AI services to automate processes, improve productivity, and deliver measurable business value. The ideal candidate is a strong software engineer first, with experience integrating AI into production applications-not someone focused solely on experimental models or research., * Build AI-enabled business solutions using modern LLM platforms and cloud services.

  • Collaborate with business stakeholders to identify automation opportunities.
  • Integrate enterprise systems using APIs and cloud technologies.
  • Develop secure, scalable, and maintainable software following engineering best practices.
  • Mentor junior developers through code reviews and technical guidance.
  • Evaluate emerging AI technologies and recommend practical adoption.
  • Support deployment, monitoring, and continuous improvement of production applications.
  • Contribute to engineering standards, documentation, and CI/CD practices.
  • Perform other duties as assigned.

Requirements

We’re looking for engineers who build production-quality software and use AI as a tool to solve business problems. The ideal candidate has strong software engineering fundamentals, experience delivering enterprise applications, and practical experience incorporating modern AI capabilities into production systems., * Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.

  • Cloud certifications such as Microsoft Azure AI Engineer, AWS Machine Learning Specialty, or equivalent preferred
  • MLOps or Data Engineering certifications preferred
  • 5+ years of professional software development experience.
  • Proficiency in Python, object-oriented programming (OOP), modular design, and test-driven development (TDD).
  • AI/ML Frameworks: Expertise in PyTorch and/or TensorFlow for model development, training, and deployment.
  • Experience building enterprise web applications, APIs, and cloud solutions.
  • Experience with Microsoft Azure (preferred) or AWS.
  • Experience integrating AI platforms such as Azure OpenAI, OpenAI, Claude, Gemini, or Microsoft Copilot.
  • Experience with SQL, REST APIs, Git, automated testing, and CI/CD.
  • Data Engineering: Strong skills with SQL/NoSQL databases, ETL workflows, data pipelines, and tools like Apache Airflow and Apache Spark.
  • Vector Databases & RAG: Experience with Pinecone, FAISS, or Weaviate for retrieval-augmented generation and contextual AI.
  • Advanced AI Techniques: Proficiency in fine-tuning, parameter-efficient tuning (PEFT), transfer learning, low-rank adaptation (LoRA), reinforcement learning, and RAG pipelines.
  • Enterprise Systems: Familiarity with Spectrum, HCSS, Oragami, Prophix, Onestream, Power BI, Cozys, Primavera P6, Incorta, or Bid2Win.
  • Strong communication, collaboration, and problem-solving skills.
  • The physical activity and work environment for this role includes
  • Travel as needed
  • Standing, sitting and walking for prolonged periods of time in an office environment
  • Manual dexterity in the use of computers and other equipment
  • Lift and carry office equipment
  • Pass pre-employment drug screen and background check

Benefits & conditions

Pulled from the full job description 401(k) Employee discount Vision insurance Dental insurance Employee assistance program Disability insurance, Despite our size, Mears remains a family company. Our suite of benefits reflects our commitment to our employees.

  • Salary info: $100,000.00 to $120,000.00 per year, paid semi-monthly
  • Job type: full time
  • Paid on-the-job technical and professional growth opportunities
  • Established career path for future advancement
  • 401k and Roth 401(k) retirement savings plans
  • Health, prescription, dental, vision plans
  • Life & Disability Insurance plans
  • Financial wellness program
  • Employee assistance program
  • Employee discount programs

About the company

Are you looking for your next big opportunity? At Mears Group we offer more than just a job. We offer a career where you can grow, innovate, and make a real impact.

Mears Group, Inc., a Quanta Services company, is a leader in the construction and infrastructure industry. With more than 50 years of experience, we are committed to safety, quality, and integrity. We bring together people and resources to build the framework that powers our nation., * Build America:Mears is a leading provider of engineering and construction solutions in oil and gas, electric transmission and distribution, telecom, and wastewater industries across North America.

  • Professional growth: Mears offers comprehensive training programs and career advancement pathways., At Mears, safety is our utmost priority. We are at the forefront of enhancing safety outcomes for both our employees and clients. We empower our workers to take ownership of their own safety. The Capacity Model is designed to minimize the risk of accidents and injuries.

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