CrawlJobs Logo

Senior Software Engineer Applied Gen AI Engineering

https://www.citi.com/ Logo

Citi

Location Icon

Location:
Canada , Mississauga

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Employment contract

Salary Icon

Salary:

120800.00 - 170800.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

At Citi, we are pioneering the future of enterprise operations through innovative technology. Our COO-Technology Engineering and Architecture capability is at the forefront, responsible for architecting best-in-class solutions, driving end-to-end transformation, and integrating cutting-edge Generative AI solutions to unlock unparalleled efficiency, automation, and risk reduction across our global operations.

Job Responsibility:

  • Architect & Build Production Systems
  • Pioneer Automation with Agents
  • Master Containerized Deployments
  • Drive Technical Direction & Ownership
  • Champion Engineering Excellence
  • Innovate & Research
  • Mentor & Collaborate
  • Iterate & Deliver
  • Ensure Responsible AI

Requirements:

  • 6+ years of professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise-grade solutions in commercial production environments, not just proofs-of-concept
  • Expert-level proficiency in Python is a must-have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services
  • Extensive hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK)
  • Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift
  • Demonstrated ability to architect, develop, and deploy highly performant, large-scale AI/ML systems into production environments
  • Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems
  • Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases

Nice to have:

  • Proficiency in additional programming languages such as Java, JavaScript/TypeScript, or Golang
  • Experience with specific frameworks like Spring (AI, Boot), N8N, or Flask
  • Familiarity with messaging and integration platforms such as Kafka or JMS/MQ
  • Experience with UI development using modern frameworks like React JS or StreamLit for interactive AI applications
  • Practical experience in model risk management, developing AI guardrails, and establishing end-user adoption pathways for Generative AI solutions
  • A proven track record of contributing to open-source projects or publishing relevant research in AI/ML
What we offer:
  • Unprecedented Impact & Visibility
  • Cutting-Edge Technology
  • Growth & Development
  • Collaborative Environment
  • Flexible Work Environment
  • Global Scale

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Icon
Citi - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Software Engineer Applied Gen AI Engineering

Senior AI Engineer

We are seeking an innovative AI Engineer to join a brand new team focused on pro...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience as an AI Engineer with a significant delivery history
  • Strong expertise in multiple programming languages & frameworks
  • Experience and proven experience in using quantitative testing practice applied to the field of AI/ML for actionable Go/No-Go decisions of delivering software to production
  • Demonstrated expertise of developing on a range of architectures, ideally up to and including container-based micro-services with focus on scalability, reliability, maintainability, and high performance
  • Good understanding of SQL and NoSQL databases
  • Excellent communication and collaboration skills
  • A growth mindset and willingness to learn and adapt in a fast-paced environment
  • Passion about site reliability engineering and its impact on product development
  • Being connected to latest technologies, like Generative AI, and keen to put them in practice.
Job Responsibility
Job Responsibility
  • Understand the landscape, tooling and procedures used by developers at Citi and look for opportunities to reduce toil and aid simplification using Gen AI based solutions
  • Apply classic AI and novel Gen AI evaluation methodology to raise the quality and reliability bar for the software that you will deliver, as well to manage and mitigate risks that are specific/inherent to this field
  • Advice on Evaluation metrics, devise and implement Quantitative Testing Plans, and help evolve the existing approaches to AI evaluation
  • Work with a wide variety of Citi technology teams and help them drive towards everything-as-code and a codified controls environment
  • Collaborate with product and engineering teams to design, build and maintain scalable and reliable web applications and services
  • Be hands-on with coding and software design to ensure adherence to high quality standards and best practices
  • Mentor and nurture other engineers to help them grow their skills and expertise
  • Support and drive cultural change, including instigating critical thinking about controls and processes and encouraging a culture of continuous improvement.
What we offer
What we offer
  • 27 days annual leave (plus bank holidays)
  • A discretional annual performance-related bonus
  • Private Medical Care & Life Insurance
  • Employee Assistance Program
  • Pension Plan
  • Paid Parental Leave
  • Special discounts for employees, family, and friends
  • Access to an array of learning and development resources.
  • Fulltime
Read More
Arrow Right

AI/ML Engineer

The Applications Development Intermediate Programmer Analyst is an intermediate ...
Location
Location
India , Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5-9 years of experience with Python, Machine Learning & exposure to Gen AI
  • Knowledge on Java will be added advantage
  • Proficiency in coding Python in building Machine Learning and developing LLM based application in a professional environment
  • Knowledge in Kofax will be a plus
  • SQL skills able to perform data interrogations is must
  • Professional experience developing Java applications
  • Develop LLM solutions for querying structured data with natural language, including RAG architectures on enterprise knowledge bases
  • Build, scale, and optimize data science workloads, applying best MLOps practices for production
  • Lead the design and development of LLM-based tools to increase data accessibility, focusing on text-to-SQL platforms
  • Train and fine-tune LLM models to accurately interpret natural language queries and generate SQL queries
Job Responsibility
Job Responsibility
  • Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code
  • Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems
  • Apply fundamental knowledge of programming languages for design specifications
  • Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging
  • Serve as advisor or coach to new or lower level analysts
  • Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions
  • Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents
  • Has the ability to operate with a limited level of direct supervision
  • Can exercise independence of judgement and autonomy
  • Acts as SME to senior stakeholders and /or other team members
  • Fulltime
Read More
Arrow Right
New

Gen AI Engineering and Scaled AI Transformation

Location
Location
Canada , Mississauga
Salary
Salary:
145100.00 - 217700.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of progressive experience in software engineering, ML, or AI platforms, with 5+ years leading senior engineers and architects
  • 3+ years of hands‑on experience deploying LLM‑based systems in production environments at enterprise scale
  • Demonstrated authority across commercial and open‑source LLM ecosystems (e.g., OpenAI, Anthropic, Google, Llama), including model selection, fine‑tuning, and hosting strategies
  • Proven ability to define enterprise-wide GenAI standards, reference architectures, and reusable accelerators
  • Demonstrated leadership in establishing prompt engineering standards and orchestration patterns
  • Experience optimizing latency, throughput, accuracy, and token cost across large‑scale GenAI workloads
  • Bachelor’s degree/University degree or equivalent experience
  • Master’s degree preferred
Job Responsibility
Job Responsibility
  • Acts as a senior technical authority on Large Language Models, including both commercial and open‑source ecosystems (OpenAI, Gemini, Claude, Llama)
  • Leads model selection and deployment strategy, balancing use‑case fit, data sensitivity, cost efficiency, latency, accuracy, and regulatory constraints
  • Guides decisions on hosted vs. private vs. fine‑tuned models, ensuring optimal trade‑offs between performance, control, and operational risk
  • Establishes enterprise standards for LLM lifecycle management, including upgrades, regression validation, and decommissioning
  • Demonstrates hands‑on leadership in building GenAI applications using LangChain, LangGraph, LlamaIndex, and Hugging Face, translating experimentation into production systems
  • Architects agentic and multi‑step workflows, enabling tool‑use, reasoning chains, state management, and orchestration at enterprise scale
  • Sets reusable reference patterns and accelerators for GenAI adoption across application teams
  • Ensures solutions are built with enterprise-grade reliability, explainability, and extensibility
  • Designs and delivers robust RAG architectures that ground GenAI outputs in trusted, auditable enterprise data
  • Leads implementation of vector databases and embedding strategies (pgvector, Pinecone, Weaviate, FAISS), aligned with data access and security models
  • Fulltime
Read More
Arrow Right

Senior Application Development Lead - Generative AI (GenAI), Vice President

Senior Application Development Lead (Gen AI) is a senior level position responsi...
Location
Location
United Kingdom , Belfast
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep expertise in Large Language Models (LLMs), including commercial and open-source models (e.g., OpenAI, Gemini, Claude, Llama), and selecting the right model for use case, cost, and performance constraints
  • Hands-on experience building Gen AI applications using modern frameworks such as LangChain, LangGraph, LlamaIndex, and Hugging Face, including agentic and multi-step workflows
  • Proven experience designing and implementing Retrieval-Augmented Generation (RAG) systems, including vector databases (pgvector, Pinecone, Weaviate, FAISS, etc.) and advanced retrieval strategies (hybrid search, re-ranking, metadata filtering)
  • Strong understanding of prompt engineering, workflow design, and Gen-AI optimization, balancing latency, cost, quality, and accuracy trade-offs in production systems
  • Solid grounding in ML/DL concepts, with hands-on experience applying frameworks such as PyTorch and/or TensorFlow, including embeddings and model fine-tuning where appropriate
  • Experience deploying and operating production Gen AI systems, leveraging Docker, cloud-native architecture, production APIs, and monitoring/observability tools, with an emphasis on reliability and scalability
  • Strong hands-on software engineering skills, including Python, FastAPI, async programming patterns, and building high-performance AI-powered APIs
  • Understanding of AI system evaluation, safety, and governance, including hallucination handling, guardrails, feedback loops, and responsible AI considerations, combined with the ability to work independently and communicate effectively in agile environments
Job Responsibility
Job Responsibility
  • Set technical direction for Gen AI adoption across multiple applications or teams, defining reusable patterns, reference architectures, and best practices aligned with enterprise standards
  • Design, integrate, and evolve Gen AI capabilities (LLMs, APIs, agentic workflows, automation) in business-critical applications, focusing on clear value, reliability, and responsible usage
  • Own end-to-end delivery of Gen AI enabled features, from solution design and implementation through production rollout, support, and continuous improvement
  • Collaborate daily with global and regional technology and business teams to deliver against regulatory, risk, and transformation priorities
  • Apply agile engineering practices, leveraging iterative delivery, pragmatic architectural decisions, and emerging Gen AI/agentic tooling to accelerate outcomes
  • Provide technical leadership and mentorship through hands-on development, code reviews, and design guidance, raising the overall engineering bar
  • Ensure solutions meet Citi standards for security, stability, resilience, and operational control, working closely with architecture, risk, and production support teams
  • Continuously assess and improve system quality, balancing performance, cost, accuracy, and user experience in production Gen AI applications
What we offer
What we offer
  • Generous holiday allowance starting at 27 days plus bank holidays
  • increasing with tenure
  • A discretional annual performance related bonus
  • Private medical insurance packages to suit your personal circumstances
  • Employee Assistance Program
  • Pension Plan
  • Paid Parental Leave
  • Special discounts for employees, family, and friends
  • Access to an array of learning and development resources
  • Fulltime
Read More
Arrow Right

Senior Applied AI Engineer

Build production-grade, multimodal (audio/video/text) systems that convert broad...
Location
Location
United States , New York
Salary
Salary:
180000.00 - 240000.00 USD / Year
geniussports.com Logo
Genius Sports
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5–8+ years of professional software engineering experience (backend and/or ML systems)
  • Strong proficiency in one or more of: Python, Java, Rust
  • Hands-on experience building production services involving LLM or multimodal model integration (including Gemini, ChatGPT or Claude)
  • Comfortable with ambiguity, iterative experimentation, and evidence-based decision-making in an Agile environment
  • Experience with streaming data platforms like Kafka, Pulsar, Flink
  • Experience with AWS Bedrock or Google Vertex AI
  • Familiarity with version control systems (e.g., Git)
  • Excellent problem-solving skills and attention to detail
  • Ability to work independently and as part of a team
  • Strong communication skills
Job Responsibility
Job Responsibility
  • Build and maintain multimodal agents: Audio sensor agents (acoustic events, sentiment, alignment), Visual sensor agents (scorebug/overlay reading, basic visual cues when applicable), Specialist and decision logic components (structured event outputs, confidence, traceability)
  • Implement streaming-friendly pipelines: chunking, normalization, time-sync, async execution, and robust retry/backoff for model/tool calls
  • Develop prompt-as-code with strict JSON contracts, schema validation, and deterministic post-processing to reduce brittleness
  • Improve system robustness under noisy inputs by: Designing fallback behaviors (degraded modes), Adding guardrails and confidence thresholds, Instrumenting traces/metrics for latency + cost + accuracy
  • Partner with product, platform, and domain leads to translate sport rules/edge cases into validation logic and to integrate outputs into downstream consumers (tagging, live feeds, analytics)
  • Contribute to the evaluation workflow by adding test cases, failure mode categories, and regression checks for prompts and model routing
  • Stay up-to-date with emerging Gen AI technologies, tools, and best practices
  • Mentor and support other team members in data engineering principles and practices
What we offer
What we offer
  • Eligible to take part in Genius Sports Group's benefits plan
  • Competitive salary and range of benefits
  • Committed to supporting employee wellbeing and helping you grow your skills, experience and career
  • Inclusive working environment
  • Fulltime
Read More
Arrow Right

Senior Gen AI Developer

The Senior Gen AI Developer is a senior-level position responsible for designing...
Location
Location
Poland , Warsaw
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of professional experience in software development with a focus on AI, machine learning, or agent-based systems
  • Strong proficiency in Python, SQL
  • Java is a plus
  • Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas)
  • Familiarity with large language models (LLMs) and their application in agentic systems
  • Familiarity with specific agent frameworks (e.g., LangChain, AutoGen, CrewAI, RAG) or research in multi-agent reinforcement learning
  • Experience in designing and implementing APIs for AI services
  • Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews
  • Excellent analytical and problem-solving skills with a creative approach to complex challenges
Job Responsibility
Job Responsibility
  • Agent Design and Development: Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules
  • System Architecture: Develop scalable and robust architectures for agentic systems, ensuring high performance, reliability, and security
  • Machine Learning Integration: Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making
  • Task Automation: Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems across various domains
  • Framework and Tooling: Utilize and contribute to agentic AI frameworks and development tools
  • Evaluation and Optimization: Design and implement metrics and evaluation strategies for agent performance, continuously optimizing and improving agent behavior
  • Research and Innovation: Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions
  • Collaboration: Work closely with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate agentic solutions into broader products and services
  • Documentation: Create comprehensive technical documentation for agent designs, implementations, and operational procedures
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
What we offer
What we offer
  • Private Medical Care Program
  • Life Insurance Program
  • Pension Plan contribution (PPE Program)
  • Employee Assistance Program
  • Paid Parental Leave Program (maternity and paternity leave)
  • Sport Card
  • Holidays Allowance
  • Sport and team recreation activities
  • Special offers and discounts for employees
  • Access to an array of learning and development resources
  • Fulltime
Read More
Arrow Right

Senior Service Engineer

The Cloud & AI organization accelerates Microsoft’s mission and bold ambitions t...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field AND 3+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls OR equivalent experience
  • 2+ years technical experience in service engineering, systems engineering, or cloud operations
  • 1+ years experience managing and improving enterprise services, including production system support
  • Experience working with scalable resources in Azure
  • Proficiency in: Azure deployment and integration, proficiency in SQL and CosmosDB, Power Platform and automation frameworks, vulnerability triage, data analysis and visualization using Kusto/KQL, Power BI, and scripting languages (e.g., PowerShell and Python)
  • Strong troubleshooting skills across multiple platforms (Windows, Linux, mobile OS) and ability to resolve complex service issues
  • Excellent written and verbal communication skills, with sound judgment and decision-making abilities for high-stakes scenarios
  • Familiarity with low-code ecosystems (Power Platform, Fabric) and AI/agentic workloads
  • Experience with incident response, problem management, and operational telemetry analysis
  • Knowledge of security and compliance frameworks (e.g., SDL, NIST AI RMF) and ability to apply them in service operations
Job Responsibility
Job Responsibility
  • Own service health and operational reliability for Security Services
  • Translate production signals into platform improvements
  • Drive innovation in next‑gen Agent security
  • Develop deep operational expertise in securing agentic workloads
  • Increase service maturity through automation and analytics
  • Partner across security, engineering, and operations teams
  • Fulltime
Read More
Arrow Right

Senior Software Engineer - ReactJS (Next-Gen Firewall)

As a Senior Software Engineer – Front End, you will be responsible for designing...
Location
Location
Vietnam , Ho Chi Minh City
Salary
Salary:
Not provided
qualgo.net Logo
Qualgo
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 5+ years of experience in frontend software engineering
  • Deep expertise in ReactJS and modern hooks patterns
  • Strong proficiency in TypeScript (Non-negotiable for this role)
  • Experience building complex Enterprise B2B Dashboards or Management Consoles (not just static websites)
  • Experience with Data Visualization libraries (D3.js, Chart.js, ECharts, or similar)
  • Experience handling Real-time data via WebSockets or Server-Sent Events (SSE)
  • Analytical Mindset: Ability to understand complex technical data and figure out how to present it simply
  • Precision: In a security product, UI bugs can lead to security holes. Attention to detail is paramount
  • Collaboration: Ability to work with "low-level" system engineers and "high-level" product designers simultaneously
Job Responsibility
Job Responsibility
  • Design and build complex, data-heavy dashboards using ReactJS and TypeScript to monitor network traffic and security events
  • Develop "Zero-Trust" policy editors and firewall rule management interfaces that are intuitive yet powerful
  • Optimize rendering performance to handle thousands of real-time events per second (logs, alerts, packet flows) without browser lag
  • Work with Data Scientists to visualize AI detection models (e.g., distinguishing between normal traffic and an anomaly)
  • Implement advanced data visualizations (using D3.js, Recharts, or WebGL/Three.js) to represent global threat maps, network topology graphs, and attack vectors
  • Translate complex AI "confidence scores" into clear, human-readable risk indicators for network administrators
  • Architect and implement robust WebSocket connections to stream live firewall logs and threat alerts to the browser
  • Manage complex client-side state (using Redux, Zustand, or TanStack Query) to ensure the UI reflects the exact state of the network devices in real-time
  • Translate networking concepts (IP ranges, Subnets, DNS, VPN tunnels) into user-friendly UI components
  • Champion UI/UX best practices for "Critical Control Systems"—ensuring that blocking a threat or changing a firewall rule is safe, confirmed, and error-free
What we offer
What we offer
  • Meaningful work & impact: Work on products that protect users’ data and make a real difference in people’s lives
  • Competitive rewards: Great work deserves great rewards — enjoy competitive pay and recognition for contribution and impact you make
  • Growth & well-being: Fuel your growth with hands-on learning. Enjoy extra leaves, and premium healthcare for you and your family
  • People & workspace: Collaborate, create, and celebrate — a modern workspace built for teamwork, fun, and innovation
  • Young & dynamic environment: Work with stunning colleagues where creativity thrives, ideas are welcome, and every day brings new challenges and opportunities
Read More
Arrow Right