Senior Software Engineer, AI/ML

About the position

Do you love building and pioneering in the technology space? Do you enjoy working in early concept definition, discovering user requirements, solving complex business problems and thrive in a start-up mindset? Does a fast-paced, collaborative, inclusive, and iterative delivery environment appeal to you? At CoBank's Forge Innovation Lab, you will be part of an innovative technology environment and develop solutions for customer needs. We are seeking Senior Software Engineers AI/ML who will collaborate with innovation lab leaders working across CoBank teams to design and develop rapid prototypes and MVPs, test, implement, and support technical solutions primarily focused on a robust AI use case backlog, using full-stack development tools and technologies. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.

Responsibilities

• Engineers automated solutions, prototypes, and building MVPs.
• Collaborates with innovation managers, participates in ideation sessions for user requirements gathering, works with cross functional teams, and delivers robust cloud-based solutions.
• Utilizes programming languages like React, Python, HTML/CSS, Node.js, SQL, Open-Source databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services, Windows PowerShell.
• Develops solutions for improving quality, delivery, efficiency, and customer and employee experience for business partners using automation technologies.
• Collaborates with product and business teams to productionize ML models, integrating them into full-stack applications with scalable APIs and real-time inference pipelines.
• Demonstrates advanced understanding of the Software Development Lifecycle (SDLC) and CI/CD pipelines and tools, as well as AI Development tools such as CoPilot Studio utilizing MLOps (Machine Learning Operations) and Software Development 2.0.
• Leads resolution of production issues and engages IT and vendors as necessary.
• May prioritize and oversee activities of others to meet deadlines and quality standards.
• Works closely with innovation managers and business units regarding enhancements and changes.
• Coaches Sprint team around technical roadblocks.
• Accountable for scope, resourcing and timely deliverables within the sprint objectives.
• Collaborates with and across Agile teams.
• Learns and leads implementation of new technologies by analyzing technical specifications, build and configure supporting infrastructure, and implementing security best practices.
• Designs and implements AI/ML-powered features to enhance automation, decision-making, associate and customer experience in finance applications, using tools such as Amazon SageMaker, TensorFlow, or Scikit-learn.
• Provides workday and after-hours production support, including troubleshooting, problem correction, testing, and promotion to the production environment.
• Leads root cause analysis of application issues and facilitates resolution by coordinating with the vendor, internal IT and users as appropriate.
• Demonstrates advanced knowledge of version control systems like Git as well as the ability to manage code repositories, branching strategies, and code review processes effectively.
• May provide technical assistance and mentoring to engineering team.
• Leverages generative AI to improve customer-facing tools, such as agents, document automation, and intelligent search capabilities.

Requirements

• Bachelor's Degree in computer science, information systems or a relevant discipline required.
• 5 years of experience in front end and back end development required.
• 2 years of experience in Agile practices required.
• 2 years of experience with Python, CoPilot Studio, Power Automate, React, Typescript and Node, and cloud platforms such as Microsoft Azure, AWS, or Google Cloud required.
• Prior Experience designing and implementing of AI/ML-powered features to enhance automation, decision-making, and customer experience in agricultural finance applications, using tools such as Amazon SageMaker, TensorFlow, or Scikit-learn required.
• Prior Experience productionizing ML models, integrating them into full-stack applications with scalable APIs and real-time inference pipelines required.
• Prior Experience leveraging generative AI to improve customer-facing tools, such as chatbots, document automation, and intelligent search capabilities required.

Nice-to-haves

• Master's Degree in computer science, ML, AI, information systems or a relevant discipline preferred.

Benefits

• Careers with a purpose. Stand for something!
• Time-Off Packages, 15 days of vacation, 10 paid sick days and 11 paid holidays
• Competitive Compensation & Incentive
• Hybrid work model: flexible arrangements for most positions
• Benefits Packages, including Medical, Dental and Vision coverage, Disability, AD&D, and Life Insurance
• Robust associate training and development with CoBank University
• Tuition reimbursement for higher education up to 10K
• Outstanding 401k: up to 6% matching and additional 3% non-elective contribution
• Community Impact: United Way Angel Day, Volunteer Day and Associate Directed Contribution
• Associate Resource Groups: creating a culture of respect and inclusion
• Recognize a fellow associate through our GEM awards