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About This Role
Position Description:
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We are seeking a AI Software Engineer to help design and deliver scalable software solutions for Agentic AI and Generative AI products. This is a senior individual contributor role for a strong software engineer with deep technical experience across backend engineering, APIs, data platforms, cloud architecture, and modern AI integration patterns.
You will be expected to take a hands\-on role in building features, troubleshooting complex issues, and helping define and apply engineering best practices across the team.
This position is ideal for someone who combines a strong software engineering foundation with practical experience building systems that integrate LLMs, streaming data, distributed processing, and cloud\-native services. It is a senior technical role with significant influence on architecture, delivery quality, and engineering standards.
This position can be located remotely anywhere in the U.S.
Your future duties and responsibilities:
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Design, build, and maintain backend services and platforms that support Agentic AI and Generative AI use cases.
Work with the team lead and product owner to understand business and technical requirements, refine user stories, and shape implementation approaches.
Develop robust, scalable APIs and services using modern Python frameworks and API technologies.
Build and integrate real\-time and batch data pipelines using streaming and distributed processing technologies.
Contribute to application and platform architecture with a focus on scalability, reliability, performance, and maintainability.
Troubleshoot production and development issues, identify root causes, and implement durable solutions.
Help define, promote, and apply engineering best practices for system design, testing, deployment, observability, and operational support.
Contribute to CI/CD, containerization, and cloud deployment strategies to support efficient and reliable software delivery.
Required qualifications to be successful in this role:
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Strong software engineering background with significant hands\-on experience building and delivering production\-grade applications.
Demonstrated expertise in Python and at least one major web framework.
Hands\-on experience developing RESTful APIs using FastAPI and GraphQL APIs using Strawberry, with a strong understanding of API architecture and service design principles.
Experience working with streaming platforms such as Kafka or Azure Event Hubs to build real\-time data processing and integration pipelines.
Strong proficiency in designing, integrating, and managing multiple database technologies, including PostgreSQL and MongoDB.
Experience with big data and distributed processing frameworks such as Spark and Delta Lake for scalable data engineering workflows.
Hands\-on experience with Databricks for collaborative data engineering and machine learning development.
Experience integrating with LLM APIs such as OpenAI, Llama, or other mainstream Generative AI models.
Strong understanding of cloud computing, scalability, and solution architecture, with emphasis on Microsoft Azure.
Experience deploying and managing applications using Docker and Kubernetes.
Experience creating and maintaining CI/CD pipelines using Azure DevOps or GitHub Actions.
Experience building systems that handle high concurrency using multi\-processing, multithreading, async patterns, or actor\-based models.
Excellent problem\-solving, communication, and collaboration skills with strong attention to detail.
Preferred / Desired Qualifications
Experience using LangChain or similar frameworks to interface with LLMs and support agentic workflows.
Experience with Agentic AI patterns, including orchestration, tool usage, multi\-step workflows, memory/context handling, and evaluation.
Full\-stack development experience is a plus.
Experience with observability, monitoring, and performance tuning in cloud\-native environments.
Telecommunications industry experience or other relevant domain knowledge is a plus.
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit\-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $88,200 \- $173,500\.
Benefits
CGI's benefits are offered to eligible professionals on their first day of employment to include:
.Competitive compensation including profit participation program
.Comprehensive medical, dental, and vision benefits
.Basic life and accidental death \& dismemberment insurance
.Matching contributions through 401(k) plan, and CGI share purchase plan
.Flexibility and paid accrued vacation leave, ranging from 10 to 20 days per year, based on job level, years of relevant prior experience, and years of service
.10 paid holidays per year
.At least 80 consecutive hours of paid sick/safe leave (except where applicable state/local law requires more)
.Paid parental leave, ranging from 20 to 70 consecutive business days based on circumstances of leave and applicable laws
.Bereavement leave, ranging from 1 to 7 days per year based on relationship.
.Paid jury duty leave, up to time summoned
.Learning opportunities and tuition assistance
.Wellness and Well\-being programs
For more detailed information about our benefits offerings visit Benefits \| CGI Careers
Please note that the benefits listed above are subject to change based on the specific terms and conditions of the contract being supported.
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit\-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $88,200\.00 \- $173,500\.00\.
CGI Federals benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation including profit participation program
. Comprehensive medical, dental, and vision benefits
. Basic life and accidental death \& dismemberment insurance
. Matching contributions through 401(k) plan, and CGI share purchase plan
. Flexibility and paid accrued vacation leave, ranging from 10 to 20 days per year, based on job level, years of relevant prior experience, and years of service
. 80 hours of floating holiday leave per year to observe holidays that are important to them
. At least 80 consecutive hours of paid sick/safe leave (except where applicable state/local law requires more)
. Paid parental leave, ranging from 20 to 70 consecutive business days based on circumstances of leave and applicable laws
. Bereavement leave, ranging from 1 to 7 days per year based on relationship.
. Paid jury duty leave, up to time summoned
. Learning opportunities and tuition assistance
. Wellness and Well\-being programs
For more detailed information about our benefits offerings visit Benefits \| CGI Careers
Please note that the benefits listed above are subject to change based on the specific terms and conditions of the contract being supported.
Skills:
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- Continuous Integration
- Java
- Kubernetes
- Spring Boot
What you can expect from us:
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Together, as owners, lets turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.
Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well\-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our teamone of the largest IT and business consulting services firms in the world.
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US\_Employment\_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
We make it easy to translate military experience and skills! to be directed to our site that is dedicated to veterans and transitioning service members.
All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGIs legal duty to furnish information.
Salary Context
This $88K-$173K range is in the lower quartile for AI Software Engineer roles in our dataset (median: $189K across 518 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 26,159 AI roles we're tracking, AI Software Engineer positions make up 2% of the market. At CGI, 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 $235,100 based on 665 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $131,300. This role's midpoint ($130K) sits 44% below the category median. Disclosed range: $88K to $173K.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
CGI AI Hiring
CGI has 16 open AI roles right now. They're hiring across AI Software Engineer, AI/ML Engineer, Data Scientist, Data Engineer. Positions span Knoxville, TN, US, Reston, VA, US, Atlanta, GA, US. Compensation range: $110K - $251K.
Location Context
Across all AI roles, 7% (1,863 positions) offer remote work, while 24,200 require on-site attendance. Top AI hiring metros: Los Angeles (1,695 roles, $178,000 median); New York (1,670 roles, $200,000 median); San Francisco (1,059 roles, $244,000 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 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 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 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). 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 (2,416) are outnumbered by mid-level (16,247) and senior (5,153) 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 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 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 $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. 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 Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. 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: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 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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