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Sargent & Lundy · 1 day ago

AI Solutions Developer

Chicago, IL

Full-time

Hybrid

Entry, Mid Level

$62K/yr - $93K/yr

2+ years exp

Sargent & Lundy is a leading consulting engineering firm specializing in the power and energy sectors. They are looking for a driven AI Solutions Developer to contribute to the research, design, and implementation of AI-driven solutions across their business, collaborating with multidisciplinary teams to enhance operational efficiency and technology adoption.

ElectronicsEnergyInformation Technology

Growth Opportunities

No H1B

Responsibilities

Assist in the research, design, and end-to-end development of AI solutions and software applications for internal and client-facing needs

Build, fine-tune, and maintain machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn

Develop production-grade code for automation, analytics, and user interfaces, ensuring scalability, reliability, and maintainability

Use rigorous software development practices—clear source control (Git), code review cycles, effective documentation, modular code organization, and adherence to coding standards

Implement robust automated testing (unit, integration, system tests) for both AI and broader software solutions, contributing to high code quality and continuous delivery

Participate actively in agile sprint planning, collaborating across functions to align software releases with business needs

Contribute to the selection, integration, and long-term maintenance of cloud-based AI and software services, prioritizing security and system performance

Work closely with engineers, analysts, and IT to identify business problems that can be solved through AI or enhanced by software applications

Translate business requirements into technical specifications, collaboratively develop project plans, and iterate on prototypes or proofs-of-concept

Participate in regular code/design reviews with peers, providing and receiving constructive feedback for continuous improvement

Act as a bridge between technical and non-technical teams, helping stakeholders understand how software and AI solutions deliver business value

Educate non-technical users on AI and software capabilities, application best practices, and the responsible use of technology

Maintain high standards in source code management, branching, and merging strategies using Git

Contribute to thorough documentation of code, features, APIs, and systems for transparency, maintainability, and knowledge transfer

Follow a disciplined software development lifecycle (SDLC): requirements analysis, design, development, testing, deployment, and maintenance

Lead or participate in post-mortems to identify root causes of incidents and implement lessons learned in future software releases

Ensure robust, high-quality data for model training and software features by building in validation checks and monitoring systems

Support responsible AI and software principles, including transparency, data privacy, and bias mitigation

Document model lineage, decision processes, and software dependencies; continually validate performance against business objectives

Design and implement automation solutions (RPA, scripts, workflow tools)

Identify and automate repetitive business processes, boosting productivity and reliability across teams

Share AI and software development best practices with colleagues, contributing to mentoring and team-wide knowledge growth

Stay current on evolving trends in AI, machine learning, cloud, and software engineering; propose new tools and methodologies to improve team output

Support leadership in strategic planning through technical insights from prototypes, pilots, and production deployments

Qualification

AI/ML solutions developmentMachine learning frameworksSoftware engineering (Python)Git-based source controlAutomated testingAgile development methodologiesCloud services deploymentAttention to detailProblem-solving skillsCommunication skillsTeam collaboration

Required

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field

2+ years of experience developing and deploying AI/ML solutions and production software

Demonstrated experience with major AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.) and hands-on software engineering (Python preferred)

Familiarity with professional software development workflows: Git-based source control, branching strategies, code review, and effective team collaboration on shared codebases

Experience writing and maintaining automated tests, debugging, and software troubleshooting

Exposure to agile development methodologies (Scrum, Kanban), CI/CD practices, and collaborative development environments

Basic experience deploying cloud services and APIs for AI workloads (AWS, Azure, or Google Cloud)

Understanding of machine learning workflow: data preparation, model training, evaluation, and deployment, alongside best practices in software delivery

Strong attention to detail with proactive problem-solving skills

Excellent communication skills for explaining technical information to both technical and non-technical audiences

Ability to adapt to evolving technology landscapes and work collaboratively in multidisciplinary teams