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About This Role
Benefits Overview:
A career at CoBank can offer you the opportunity to make a personal impact on the people and communities where we do business. In order to be the best, we hire the best! Benefits Offered by CoBank* Careers with a purpose
- 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
- Outstanding 401k: up to 6% matching and additional 3% non-elective contribution & Student Loan Match
- 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
Job Description:
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. Essential Functions:
- 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 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.
Education:
- Bachelor's Degree in computer science, information systems or a relevant discipline. required
- Master's Degree in computer science, ML, AI, information systems or a relevant discipline. preferred
Work Experience:
- 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 leveraging generative AI to improve customer-facing tools, such as chatbots, document automation, and intelligent search capabilities required
- Prior Experience productionizing ML models, integrating them into full-stack applications with scalable APIs and real-time inference pipelines preferred
- Knowledge of Design Thinking, Lean Startup, comfortable working with ambiguity, rapid changes and pace
- Demonstrated technical, analytical and problem-solving skills that enhance working with problems that are complex and often unique. Ability to maintain flexibility and resilience when working in ambiguous situations
- Demonstrated ability to bridge the gap between technology, business and customers. Have strong facilitation and people skills to collaboratively participate in discovery workshops, ensuring the capture of diverse ideas and with a high level of participant engagement
- Demonstrated organizational and time management skills, with the ability to deliver commitments while juggling multiple projects and priorities. Ability to work effectively under deadline pressures, and adjust quickly and effectively to changing priorities
- Advanced interpersonal skills with the ability to build and maintain effective working relationships with all levels of management and staff
- Advanced verbal and written communication and presentation skills, with demonstrated ability to clearly articulate messages to a variety of audiences.
- Advanced active listening skills
Physical Exertion Details:
Sedentary Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time, but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met. Travel Requirement Details:
Occasional Travel occurs infrequently (typically, once a month or less). About CoBank:
The base pay range for this role is between $121,000 - $163,400. Compensation may vary based on individual job-related knowledge, skills, expertise, and experience. This position is eligible for a discretionary annual incentive program driven by organization and individual performance. The listed salary, other compensation and benefits information is accurate as of the date of this posting. This job will be posted for a minimum of five (5) business days or until the position is filled. CoBank reserves the right to adjust compensation for all positions and to modify or discontinue benefits programs at any time in its sole discretion, subject to applicable law.
CoBank is a cooperative bank serving vital industries across rural America. The bank provides loans, leases, export financing and other financial services to agribusinesses and rural power, water and communications providers in all 50 states. The bank also provides wholesale loans and other financial services to affiliated Farm Credit associations serving more than 76,000 farmers, ranchers and other rural borrowers in 23 states around the country. CoBank is a member of the Farm Credit System, a nationwide network of banks and retail lending associations chartered to support the borrowing needs of U.S. agriculture, rural infrastructure and rural communities. Headquartered outside Denver, Colorado, CoBank serves customers from regional banking centers across the U.S. and also maintains an international representative office in Singapore. REASONABLE ACCOMMODATION We are committed to ensuring that our online application process provides an equal employment opportunity to all applicants, including qualified individuals with disabilities. If you are an applicant with a disability, or are assisting an applicant with a disability, and require accessibility assistance or would like to request a reasonable accommodation for any aspect of the application process, including completing an application, interviewing, or otherwise participating in the employee selection process, please submit a request by emailing [email protected]. Include your contact information and specific details about your requested accommodation.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
CoBank is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.
Salary Context
This $121K-$163K range is in the lower quartile for AI Software Engineer roles in our dataset (median: $194K across 269 roles with salary data).
Role Details
About This Role
AI Software Engineers build the applications and systems that AI models run inside. They own the API layers, data pipelines, frontend integrations, and infrastructure that turn a model into a product users interact with. Every AI company needs engineers who can build the software around the AI.
The challenge is building reliable systems around inherently unreliable components. Models are probabilistic. They'll give different answers to the same question. They hallucinate. They're slow. They're expensive. Your job is to build an application layer that handles all of this gracefully while delivering a product that users trust and enjoy.
Across the 11,520 AI roles we're tracking, AI Software Engineer positions make up 5% of the market. At CoBank, this role fits into their broader AI and engineering organization.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
What the Work Looks Like
A typical week includes: building API endpoints that serve model inference with caching and fallback logic, designing the data pipeline that feeds context to a RAG system, implementing streaming responses in the frontend, debugging a race condition in the async inference pipeline, and optimizing database queries for the vector search layer. It's full-stack engineering with AI at the center.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
Skills Required
Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.
Knowledge of vector databases, embedding APIs, and LLM integration patterns (function calling, structured outputs, retry logic) differentiates AI software engineers from general software engineers. Understanding cost optimization (caching strategies, model routing, batched inference) is valuable since inference costs can dominate application economics.
Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
Compensation Benchmarks
AI Software Engineer roles pay a median of $220,000 based on 1,688 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $230,000. This role's midpoint ($142K) sits 35% below the category median. Disclosed range: $121K to $163K.
Across all AI roles, the market median is $213,480. Top-quartile compensation starts at $264,000. The 90th percentile reaches $318,400. For comparison, the highest-paying categories include AI Safety ($266,050) and AI Engineering Manager ($253,461). By seniority level: Entry: $112,320; Mid: $193,200; Senior: $230,000; Director: $272,250; VP: $235,830.
CoBank AI Hiring
CoBank has 1 open AI role right now. They're hiring across AI Software Engineer. Based in Greenwood Village, CO, US. Compensation range: $163K - $163K.
Location Context
Across all AI roles, 6% (708 positions) offer remote work, while 10,737 require on-site attendance. Top AI hiring metros: New York (3,257 roles, $221,000 median); San Francisco (2,766 roles, $260,550 median); Los Angeles (1,580 roles, $210,000 median).
Career Path
Common paths into AI Software Engineer roles include Software Engineer, Full-Stack Developer, Backend Engineer.
From here, career progression typically leads toward Staff Engineer, AI Architect, Engineering Manager.
If you're a software engineer, you're already 80% there. Learn the AI integration patterns: RAG, streaming inference, function calling, structured outputs. Build a project that demonstrates you can wrap an AI model in a production-quality application with proper error handling, caching, and user experience. That's the portfolio piece that gets you hired.
What to Expect in Interviews
Technical screens look like standard software engineering interviews with an AI twist. Expect system design questions about building reliable applications around probabilistic models: handling streaming responses, implementing retry logic for API failures, and designing caching strategies for LLM outputs. Coding rounds test standard algorithms plus practical integration patterns like async processing and rate limiting.
When evaluating opportunities: Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
AI Hiring Overview
The AI job market has 11,520 open positions tracked in our dataset. By seniority: 140 entry-level, 5,630 mid-level, 4,176 senior, and 1,574 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (708 positions). The remaining 10,737 roles require on-site or hybrid attendance.
The market median for AI roles is $213,480. Top-quartile compensation starts at $264,000. The 90th percentile reaches $318,400. Highest-paying categories: AI Safety ($266,050 median, 70 roles); AI Engineering Manager ($253,461 median, 58 roles); Research Engineer ($252,000 median, 476 roles).
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
The AI Job Market Today
The AI job market spans 11,520 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (8,769), AI Software Engineer (586), AI Product Manager (511). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (140) are outnumbered by mid-level (5,630) and senior (4,176) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,574 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (708 positions), with 10,737 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $213,480. Top-quartile roles start at $264,000, and the 90th percentile reaches $318,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $266,050 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,267 postings), Aws (1,178 postings), Azure (972 postings), Rag (924 postings), Gcp (715 postings), Pytorch (586 postings), Claude (572 postings), Kubernetes (559 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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