CrawlJobs Logo

Generative AI Engineer, Officer

https://www.citi.com/ Logo

Citi

Location Icon

Location:
United States , Jacksonville

Category Icon

Job Type Icon

Contract Type:
Employment contract

Salary Icon

Salary:

76560.00 - 106840.00 USD / Year

Job Description:

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services. Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

Job Responsibility:

  • Develop & Prototype: Design, build, and iterate on prototypes for Generative and Agentic AI applications with speed and agility, demonstrating the art of the possible
  • Implement AI Models: Implement, train, and fine-tune a variety of machine learning and deep learning models to solve complex business problems
  • Build Robust Systems: Develop and maintain clean, efficient, and scalable code for AI/ML systems, with a focus on production-level quality
  • Manage Data Pipelines: Engineer and manage sophisticated data handling and preprocessing pipelines to ensure high-quality data for training and inference
  • Deploy & Operate: Utilize MLOps best practices to deploy AI applications in containerized environments like OpenShift, ensuring robust monitoring, scalability, and reliability
  • Innovate & Research: Actively monitor and research the latest trends, breakthroughs, and tools in AI/ML. Present findings and lead proof-of-concept projects to integrate new technologies into our stack
  • Collaborate: Work closely with senior engineers, architects, and product managers in a highly collaborative environment to translate business requirements into technical solutions

Requirements:

  • 2 years in a product development/product management environment
  • Python Proficiency: Strong and efficient programming skills in Python, including deep familiarity with AI-centric libraries (e.g., NumPy, Pandas, Scikit-learn)
  • ML/DL Foundation: Solid understanding and practical implementation experience with machine learning algorithms and deep learning architectures (e.g., Transformers, CNNs, RNNs)
  • Generative AI Experience: Demonstrable understanding of and hands-on experience with Generative AI, Large Language Models (LLMs), and Agentic AI frameworks
  • Data Expertise: Proven ability in handling and preprocessing large and complex datasets, including data cleaning, feature engineering, and validation
  • MLOps Awareness: Working experience or strong familiarity with MLOps principles, including containerizing applications using Docker and deploying on platforms like OpenShift or Kubernetes
  • Problem-Solving: Strong analytical and problem-solving skills with the ability to tackle complex challenges independently
  • Bachelor’s/University degree or equivalent experience
  • Core Technical Stack & Expertise: LLMs: Gemini, OpenAI models (GPT series), Copilot, Claude, Llama, and experience with Local Models
  • Frameworks: LangChain, LlamaIndex, and the Hugging Face ecosystem (Transformers, Datasets, Tokenizers)
  • Orchestration: LangGraph and conceptual understanding of building Multi-Agent Systems
  • Development: Building production-ready services using Python, FastAPI, and asynchronous programming patterns
  • RAG (Retrieval-Augmented Generation): Advanced retrieval techniques using Vector DBs (e.g., Pinecone, Chroma) and PostgreSQL (with pgvector)
  • ML/DL Platforms: PyTorch and/or TensorFlow for building and fine-tuning models
  • Deployment & Monitoring: Containerization with Docker, deploying production APIs, and implementing robust monitoring and logging
  • Applied AI Skills: Advanced Prompt Engineering, AI Workflow Design, and GenAI application optimization for cost, latency, and performance
What we offer:
  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Additional Information:

Job Posted:
May 16, 2026

Expiration:
May 22, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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

Briefcase Icon

Similar Jobs for Generative AI Engineer, Officer

Innovation Engineering AI Intern

Hewlett Packard Enterprise offers university students the opportunity to join a ...
Location
Location
Ireland , Galway
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Pursuing a bachelor’s or master’s degree in computer science or related technology
  • Strong Python skills and hands-on experience with AI libraries
  • Practical knowledge of generative AI / LLMs and RAG architectures
  • Familiarity with containerization (Docker) and orchestration (Kubernetes)
  • Exposure to cloud infrastructure services (compute, storage, networking) on AWS, Azure or GCP
  • Understanding of microservices design, RESTful APIs and version control (Git)
  • Work in a Hybrid environment with at least 2-3 days in the office per week
Job Responsibility
Job Responsibility
  • Design, build and iterate on AI agents and workflows using frameworks like LangChain
  • Develop end-to-end generative AI (LLM) applications
  • Implement Retrieval-Augmented Generation (RAG) systems: data ingestion, embedding generation, vector stores and retrievers
  • Containerize Python-based AI services with Docker and deploy to Kubernetes clusters
  • Integrate microservices patterns and cloud infrastructure (AWS, Azure or GCP)
  • Collaborate in Agile ceremonies - standups, sprint planning, code reviews - and demo prototypes to stakeholders
What we offer
What we offer
  • Initial extensive onboarding to support you with adjusting to the role
  • Ongoing learning and development throughout the program
  • Be mentored by at least one senior member of the team and after two years in the program you can grow into a true professional with valuable relationships and international working experience
  • Competitive salary and great benefits
  • Great work-life balance including hybrid working and Wellness Fridays initiative
  • Fulltime
Read More
Arrow Right

Innovation Engineering AI Intern

Hewlett Packard Enterprise offers university students the opportunity to join a ...
Location
Location
Ireland , Galway
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Pursuing a bachelor’s or master’s degree in computer science or related technology
  • Strong Python skills and hands-on experience with AI libraries
  • Practical knowledge of generative AI / LLMs and RAG architectures
  • Familiarity with containerization (Docker) and orchestration (Kubernetes)
  • Exposure to cloud infrastructure services (compute, storage, networking) on AWS, Azure or GCP
  • Understanding of microservices design, RESTful APIs and version control (Git)
  • Work in a Hybrid environment with at least 2-3 days in the office per week
Job Responsibility
Job Responsibility
  • Design, build and iterate on AI agents and workflows using frameworks like LangChain
  • Develop end-to-end generative AI (LLM) applications
  • Implement Retrieval-Augmented Generation (RAG) systems: data ingestion, embedding generation, vector stores and retrievers
  • Containerize Python-based AI services with Docker and deploy to Kubernetes clusters
  • Integrate microservices patterns and cloud infrastructure (AWS, Azure or GCP)
  • Collaborate in Agile ceremonies - standups, sprint planning, code reviews - and demo prototypes to stakeholders
What we offer
What we offer
  • Initial extensive onboarding to support you with adjusting to the role
  • Ongoing learning and development throughout the program
  • Be mentored by at least one senior member of the team and after two years in the program you can grow into a true professional with valuable relationships and international working experience
  • Competitive salary and great benefits
  • Great work-life balance including hybrid working and Wellness Fridays initiative
  • Fulltime
Read More
Arrow Right

Chief Technology Officer

An elite AI engineering scale-up is launching a new enterprise-focused division ...
Location
Location
United States , Raleigh–Durham
Salary
Salary:
Not provided
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years leading technical teams, ideally building or scaling new ventures
  • Proven track record of recruiting and developing top talent
  • Hands-on expertise with AI/LLM systems in production
  • Comfort engaging with C-suite executives and navigating enterprise environments
  • Entrepreneurial mindset with strong communication skills
Job Responsibility
Job Responsibility
  • Define the technical vision and delivery model for enterprise AI solutions
  • Recruit and lead a world-class engineering team
  • Partner with business leadership to secure large-scale contracts
  • Design and deliver production-grade AI systems that solve complex challenges
  • Stay ahead of the curve by turning emerging research into enterprise-ready applications
What we offer
What we offer
  • Competitive salary
  • 401k with matching
  • unlimited PTO
  • health coverage
  • significant equity
  • profit sharing model
  • Fulltime
Read More
Arrow Right

Staff AI Developer Productivity Engineer

This is a staff-level, hands-on role at the intersection of Developer Productivi...
Location
Location
United Kingdom , London OR Chester
Salary
Salary:
Not provided
equalsplc.com Logo
Equals Group PLC
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years in software engineering with a track record of building internal developer tooling/DevEx (CLI/IDE plugins, bots, internal services or web apps)
  • Strong proficiency in TypeScript/Node.js, C#/.NET and front-end experience with React/Next.js
  • Hands-on LLM integration: prompting, tool/function calling, retrieval (embeddings/vector stores) and basic evaluation of quality
  • Solid understanding of CI/CD, test strategy and code-quality tooling
  • able to design fast inner loops and reliable pipelines
  • Product mindset: discovery interviews, hypothesis-driven experiments, before/after evaluation and clear business cases
  • Excellent communication and influence skills
  • comfortable enabling teams via docs, workshops and remote office hours
  • A role model for our values: Make it happen
  • Succeed together
Job Responsibility
Job Responsibility
  • AI-first discovery roadmap - Interview engineers, analyse telemetry and prioritise the highest-leverage opportunities across coding, review, testing, releases and knowledge flows. Set baselines and target deltas and maintain a transparent backlog/roadmap grounded in measurable outcomes
  • Ship internal tools - Build and maintain AI-augmented dev tools across IDE/CLI, GitHub, Slack, Notion, Retool and internal web apps that reduce manual effort and cycle time
  • Agentic flows across the SDLC - Design structured, agentic workflows (including MCP and tool-use with human-in-the-loop gates) to improve code authoring/review, test creation/selection and the release, incident response and onboarding processes
  • Frontier scouting & evaluation - Continuously experiment with cutting-edge AI models, frameworks and runtimes
  • run short, hypothesis-driven pilots with clear success criteria and developer-fit assessments
  • productionise successful approaches
  • Automation pipelines - Implement LLM-assisted and AST-based code-mod workflows for migrations, boilerplate generation, test creation and docs updates
  • Enablement & change management - Drive adoption with playbooks, golden prompts, demos, office hours and a champions network across build teams
  • measure usage and satisfaction and iterate
What we offer
What we offer
  • 25 days holiday per year + your birthday off
  • Opportunities for progression, development and learning new skills - £250 towards the cost of learning & development
  • Free onsite Nuffield Health gym & pool (London) and discounted gym membership elsewhere
  • GetActive with Aviva - Health and Wellbeing discounts on services and products
  • Interbank currency rates on travel money and international transfers
  • Bupa Private Healthcare
  • Free Eye Test and £50 up to the cost of glasses
  • EAP Service - Mental Health Services
  • Life Assurance Policy - x3 annual salary
  • Contributory pension scheme
Read More
Arrow Right

PreSales Engineer

As a PreSales Engineer with the Everseen Go-To-Market Team, you will own the tec...
Location
Location
Australia , Sydney; Melbourne
Salary
Salary:
Not provided
everseen.ai Logo
Everseen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years in technical sales, presales or solution engineering roles working with enterprise level customers and on SaaS based products, solutions or services
  • Knowledge of and interest in AI and its use in retail
  • Knowledge and experience of the retail market
  • A true passion for delivering best-in-class customer experience
  • Demonstrated success in positioning, presenting and demonstrating new products and features
  • Ability to develop a comprehensive understanding of customer culture, needs and requirements in the Australia - New Zealand region
  • Experience of advanced data analytics
  • Experience of forecasting and tracking key account metrics in a business development team
  • A drive to meet and exceed targets and goals
  • Experience of developing relationships, communicating and working with customers at a technical level
Job Responsibility
Job Responsibility
  • Deliver compelling, customized demonstrations of our technology to technical and business stakeholders
  • Own the technical components of the sales process, ensuring a seamless and informed sales journey
  • Engage directly with customer CTOs and technical leaders to build trust and instill confidence in our solution’s capabilities and fit
  • Work collaboratively with others in the sales team to define tailored technical solutions that align with customer needs and business goals
  • Help drive the sales process in partnership with the Go-To-Market team
  • Act as the subject matter expert (SME) on our product, delivering deep technical insight, and advice on the data insights gained
  • Provide technical expertise through presentations, solutions designs, demonstrations and proof of concepts via various mediums
  • Provide ongoing technical consultation, addressing complex questions and objections with authority and clarity
  • Translate customer requirements into solution architecture, clearly articulating how our platform solves real-world problems and the insights it generates
  • Provide excellent customer service anticipating and meeting the needs of the customer head on
  • Fulltime
Read More
Arrow Right

Consultant, Advisors – AI & GenAI Consulting

Our Performance Analytics consultants are data-driven problem solvers who combin...
Location
Location
Portugal
Salary
Salary:
Not provided
mastercard.com Logo
Mastercard
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience in designing, developing, and deploying Generative AI solutions, including working with large language models (LLMs), prompt engineering, and fine-tuning models for specific business use cases
  • Strong proficiency in Python and relevant AI/ML frameworks (e.g., Langchain, PyTorch, Google ADK)
  • Hands-on experience with cloud-based AI services (Azure OpenAI, AWS Sagemaker, Google Vertex AI) and integration into enterprise workflows
  • Solid understanding of machine learning, deep learning, and NLP techniques, with the ability to apply them to real-world problems
  • Familiarity with data engineering and big data tools (Spark, Databricks) to support scalable AI solutions
  • Ability to translate complex technical concepts into actionable insights for business stakeholders
  • Graduate Engineering with data and analytics experience in business intelligence or business translation
  • At least 2 years of relevant work experience in AI/ML roles
  • Proven experience collaborating with internal teams and external stakeholders to achieve shared objectives
  • Advanced Word, Excel, and PowerPoint skills
Job Responsibility
Job Responsibility
  • Support data-driven initiatives across Business Intelligence, machine learning, advanced analytics, and Generative AI by building robust models and leveraging cutting-edge tools to unlock measurable client value
  • Design methodologies tailored to client problem statements, applying critical thinking to account for internal and external constraints
  • Collaborate with Mastercard teams to understand client priorities, risks, and opportunities, ensuring alignment with business goals
  • Build trusted relationships with client stakeholders, acting as a strategic advisor and thought partner
  • Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients
  • Maintain and share project resources and repositories in alignment with organizational best practices, ensuring proper version control, documentation, and accessibility for the team
  • Collaborate effectively with team members to identify trends, patterns, and anomalies, while independently driving analysis that supports project objectives—including leveraging Generative AI techniques where applicable
  • Engage with the client and drive internal workstreams, contributing to effective project execution and delivery
  • Contribute to Mastercard’s intellectual capital and innovation agenda, with a focus on advancing AI-driven and Generative AI solutions
  • Receive guidance from analytics leaders while actively mentoring junior consultants, fostering mutual growth and contributing to a high-performance culture
  • Fulltime
Read More
Arrow Right

PreSales Engineer

As a PreSales Engineer with the Everseen Go-To-Market Team, you will own the tec...
Location
Location
United States , Boston / Fairfax County, VA
Salary
Salary:
Not provided
everseen.ai Logo
Everseen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years in technical sales, presales or solution engineering roles working with enterprise level customers and on SaaS based products, solutions or services
  • Knowledge of and interest in AI and its use in retail
  • Knowledge and experience of the retail market
  • Experience of advanced data analytics
  • Experience of forecasting and tracking key account metrics in a business development team
  • Experience of developing relationships, communicating and working with customers at a technical level
  • Strong verbal and communication skills
  • Expectation of travel
  • Extensive experience working with Linux systems, including Bash scripting, package management, and log analysis
  • Proficient in containerization technologies such as Docker and Podman, and have hands-on experience with Kubernetes orchestration, Helm charts, and multi-tenant policies
Job Responsibility
Job Responsibility
  • Deliver compelling, customized demonstrations of our technology to technical and business stakeholders
  • Own the technical components of the sales process, ensuring a seamless and informed sales journey
  • Engage directly with customer CTOs and technical leaders to build trust and instill confidence in our solution’s capabilities and fit
  • Work collaboratively with others in the sales team to define tailored technical solutions that align with customer needs and business goals
  • Help drive the sales process in partnership with the Go-To-Market team
  • Act as the subject matter expert (SME) on our product, delivering deep technical insight, and advice on the data insights gained
  • Provide technical expertise through presentations, solutions designs, demonstrations and proof of concepts via various mediums
  • Provide ongoing technical consultation, addressing complex questions and objections with authority and clarity
  • Translate customer requirements into solution architecture, clearly articulating how our platform solves real-world problems and the insights it generates
  • Provide excellent customer service anticipating and meeting the needs of the customer head on
  • Fulltime
Read More
Arrow Right

AI Engineer II

In the 1980s, Microsoft Office revolutionized global industries and empowered th...
Location
Location
United States
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or related technical field
  • 2+ years technical engineering experience including some production experience building applications with LLMs and/or deploying ML/LLM/agent systems
  • coding in languages including, but not limited to, Python, Typescript/Javascript, C, C++, or C#
Job Responsibility
Job Responsibility
  • Prototype and iterate on AI agent experiences that reimagine Office workflows, rapidly, validating feasibility, UX, and technical approaches, while pushing the frontier of the agent-driven productivity
  • Ship features by operating at the true intersection of AS and SWE, where a single AI engineer can unlock disproportionate impact by translating model capability and product intent into intelligent, production-ready systems
  • Design and develop tools and evaluation frameworks to observe and monitor real-time agent health, investigate customer feedback, and build continuous learning systems for end-to-end AI workflows
  • Invent and lead industry-defining multimodal AI experiences across Microsoft 365 by exploring new interaction paradigms and system architectures that unlock and define natural user interface between human and AI
  • Continuous learning and stay current with advances in generative AI and software engineering. Invest time in learning new tools and frameworks, propose improvements to build processes, and share knowledge with colleagues
  • Embody Microsoft culture and values
  • Fulltime
Read More
Arrow Right