Interested in this AI Software Engineer role at Information Technology Senior Management Forum?
Apply Now →Skills & Technologies
About This Role
Posted Date
6/04/2026
Description
#### Citi is looking for a highly skilled and innovative Full Stack Engineer with a strong background in modern enterprise architecture and a passion for Artificial Intelligence. This role will lead AI\-enabled engineering initiatives in Citi Banking Technology, focusing on initiatives for the M\&A business line. The successful candidate will possess deep expertise in Java, Angular, microservices, and event\-based architectures, combined with a proven ability to leverage agentic AI to create intelligent agents that solve complex business challenges. This is an exciting opportunity to contribute to Citi's digital transformation by integrating advanced AI capabilities into our core engineering practices.
#### Key Responsibilities:
- Design, develop, and maintain high\-performance, scalable, and secure full\-stack applications using Java, Angular, microservices, and event\-based architectures.
- Lead the integration of AI capabilities into existing and new applications, focusing on creating and deploying agentic AI solutions for M\&A business use cases.
- Architect and implement microservices and event\-driven systems that are resilient, fault\-tolerant, and performant.
- Develop front\-end user interfaces using Angular, ensuring an intuitive and responsive user experience.
- Contribute to the entire software development lifecycle, including requirements gathering, design, coding, testing, deployment, and operational support.
- Promote and implement best practices in software engineering, including code quality, testing, CI/CD, security, and documentation.
- Stay abreast of emerging technologies and trends in full\-stack development, AI, and agentic systems, recommending and implementing innovative solutions.
- Mentor junior developers and actively participate in code reviews, fostering a culture of technical excellence and continuous learning.
#### Experience:
- 8\+ years of hands\-on experience in full\-stack software development.
- Proven experience in designing and building scalable, high\-performance microservices.
- Demonstrated experience with event\-driven architectures (e.g., Kafka, RabbitMQ).
- Solid experience with modern front\-end frameworks, specifically Angular.
- Experience with AI technologies, including machine learning, natural language processing, or other AI domains.
- Specific experience with agentic AI development, including designing, building, and deploying intelligent agents for business applications.
#### Technical Skills:
- Languages: Expert proficiency in Java and TypeScript/JavaScript.
- Back\-end:
+ Strong expertise in Java development, including Spring Boot, Spring Cloud.
+ Extensive experience with microservices architecture principles and patterns.
+ Hands\-on experience with message brokers and event streaming platforms (e.g., Apache Kafka, RabbitMQ).
+ Proficiency with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
- Front\-end:
+ Experience in Angular framework (versions 2\+), including NgRx or other state management patterns.
+ Strong understanding of HTML5, CSS3, and responsive web design.
- DevOps \& Cloud:
+ Experience with containerization technologies (Docker) and orchestration (Kubernetes).
+ Proficiency with CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps).
+ Experience with cloud platforms (e.g., AWS, Azure, GCP) and their relevant services.
- AI/ML:
+ Experience deploying GenAI and LLM enabled systems in regulated, enterprise environments, including evaluation, guard\-railing, monitoring, and compliance.
+ Direct experience in developing, integrating, and deploying agentic AI systems.
#### Leadership \& Soft Skills:
- Excellent problem\-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to articulate technical concepts to both technical and non\-technical audiences. A self\-starter with the ability to work effectively in teams and remotely with a growth mindset and willingness to learn and adapt in a fast\-paced environment.
- Serve as the senior point of accountability for environment readiness and risk.
- Partner with Architecture, Security, Risk, and Business stakeholders.
#### Preferred Qualifications:
- Experience in the financial services industry.
- Knowledge of domain\-driven design and clean architecture principles.
- Experience with observability tools (e.g., Prometheus, Grafana, ELK stack).
- Contributions to open\-source projects or active participation in developer communities.
#### Education:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
\-
#### Job Family Group:
Technology
\-
#### Job Family:
Applications Development
\-
#### Time Type:
Full time
\-
#### Primary Location:
Irving Texas United States
\-
#### Primary Location Full Time Salary Range:
$156,160\.00 \- $234,240\.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental \& vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
\-
#### Most Relevant Skills
Please see the requirements listed above.
\-
#### Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
\-
#### Anticipated Posting Close Date:
Jun 10, 2026
\-
*Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.*
*If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review* *Accessibility at Citi**.*
*View Citi’s* *EEO Policy Statement* *and the* *Know Your Rights* *poster.*
Salary
156,160\.00 \- 234,240\.00 Annual
Type
Full\-time
Salary Context
This $156K-$234K range is above the median for AI Software Engineer roles in our dataset (median: $190K across 193 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 3,824 AI roles we're tracking, AI Software Engineer positions make up 7% of the market. At Information Technology Senior Management Forum, 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 $234,620 based on 682 positions with disclosed compensation. This role's midpoint ($195K) sits 17% below the category median. Disclosed range: $156K to $234K.
Across all AI roles, the market median is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $97,380; Mid: $160,000; Senior: $227,400; Director: $243,000; VP: $250,000.
Information Technology Senior Management Forum AI Hiring
Information Technology Senior Management Forum has 33 open AI roles right now. They're hiring across Data Scientist, Data Engineer, AI Software Engineer, AI/ML Engineer. Positions span McLean, VA, US, Jersey City, NJ, US, Irving, TX, US. Compensation range: $126K - $392K.
Location Context
Across all AI roles, 16% (613 positions) offer remote work, while 3,187 require on-site attendance. Top AI hiring metros: New York (2,448 roles, $210,000 median); San Francisco (1,990 roles, $253,000 median); Los Angeles (1,686 roles, $189,000 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 3,824 open positions tracked in our dataset. By seniority: 119 entry-level, 1,813 mid-level, 1,472 senior, and 420 leadership roles (Director, VP, C-Level). Remote roles make up 16% of the market (613 positions). The remaining 3,187 roles require on-site or hybrid attendance.
The market median for AI roles is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($293,500 median, 31 roles); AI Safety ($274,200 median, 51 roles); Research Engineer ($260,000 median, 401 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 3,824 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,702), Data Scientist (281), AI Software Engineer (258). 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 (119) are outnumbered by mid-level (1,813) and senior (1,472) 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 420 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 16% of all AI roles (613 positions), with 3,187 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 $200,000. Top-quartile roles start at $253,000, and the 90th percentile reaches $307,500. 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 $142,800. 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 (1,968 postings), Aws (1,203 postings), Azure (882 postings), Rag (877 postings), Gcp (735 postings), Prompt Engineering (587 postings), Pytorch (586 postings), Claude (554 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
Get Weekly AI Career Intelligence
Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.