Senior Software Engineer, AI Enterprise Engineering Job at Bentley Systems

Senior Software Engineer - Build AI Tools

This role sits within the newly formed GenAI Security team, which is responsible...

Location

United Kingdom , Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Highly motivated self-starter with excellent interpersonal and problem-solving skills
Bachelor’s degree or equivalent work experience
Good oral and written communication skills
Significant relevant industry work experience
Experience of the full lifecycle of design, implementation and running of enterprise software solutions involving cross functional team collaboration
Expertise in a major programming language such as Python and/or Go, and associated tooling (Git, Maven, IDEs, Jenkins, Bitbucket etc)
Expertise in designing and implementing secure APIs and libraries
Experience in Generative AI, LLM frameworks, LLM prompt engineering and/or adversarial testing is a bonus
Experience with Cyber engineering and Operations, which could include DevSecOps or MLSecOps
Experience contributing to the architecture and design (architecture, design patterns, reliability, scaling) of new and current systems

Job Responsibility

Designing, developing, optimizing, and enhancing a GenAI prompt security platform to protect firm AI/LLM-based applications from adversarial attacks and prompt injections
Building and automating a security testing framework to validate protection mechanisms for various LLM use cases
Owning solutions that are expected to operate and perform at scale across the organisation
Collaboration with multiple stakeholders and partners across Engineering and Operations as well as partner teams within the wider Citi organisation, across different time zones

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

Senior Integrations Engineer, Enterprise Integrations & Agentic AI

We are seeking a Senior Engineer, Enterprise Integrations & Agentic AI to design...

Location

United States , San Francisco; New York City; Austin

Salary:

227000.00 - 294600.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

10+ years of experience in integrations, software development, or systems engineering
Strong experience with integration/iPaaS platforms such as Workato, Zapier, Mulesoft, Hightouch, AWS, etc
Proficient in Python, cloud development (AWS or GCP), and handling large-scale data processing workloads
Deep hands-on expertise in integration architecture, API management, and data synchronization patterns (event-based, webhook, polling, etc.)
Experience with AI agent development, prompt engineering, and integration of LLMs into workflows
Experience with vibe coding—leveraging AI tools (e.g., Cursor, Bolt, Claude Code) to accelerate development velocity
Proficiency in working with Salesforce and Workday, including custom reports, calculated fields, and Workday Studio integrations
Solid understanding of integration security, data governance, and compliance practices
Strong understanding of authentication/authorization standards like OAuth 2.0 and SAML
Experience with data formats like JSON and XML and data transformation techniques

Job Responsibility

Design, build, and optimize scalable enterprise workflows using Workato, Hightouch and Workday Studio
Expand our integration stack by building hybrid solutions using Workato for workflow orchestration, and cloud-native services built using Python to handle complex logic and high-volume data processing
Own and evolve integration architecture that supports event-driven workflows, data syncs, and process orchestration across internal tools
Partner with Data and Infrastructure teams to manage real-time and batch data flows between systems, ensuring accuracy, resilience, and auditability
Apply agentic platforms (e.g. AgentForce, Workato Genie) to orchestrate multi-step automations using LLMs and other intelligent agents
Champion Airtable AI internally by building production-ready AI automations
Partner with business units, subject matter experts, and engineering teams to understand integration requirements, define architecture, and deliver resilient workflows
Document technical designs, maintain reusable components, and share best practices for future expansion
Bring strong technical judgment in selecting the right tools and patterns, ensure observability and monitoring are in place for integration health
Champion best practices that keep our integration layer reliable, maintainable, and future-ready

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Senior Software Engineer, AI Runtime

We’re seeking a Senior Software Engineer to help power the future of agentic AI ...

Location

United States

Salary:

157000.00 - 198900.00 USD / Year

Apollo GraphQL

Expiration Date

Until further notice

Requirements

Expertise in agent-to-tool orchestration, routing, and coordination in scalable, fault-tolerant systems
Deep expertise in Rust programming language
Strong background in distributed systems, server architecture, and high-performance backend development
Proven experience with protocol design, message routing, and server-side orchestration frameworks
Experience building and maintaining robust runtime infrastructure that supports AI-driven workflows and enables reliable agent-to-tool interactions
Proven experience with protocol design, message routing, and building server-side frameworks that enable scalable, reliable multi-tool agent workflows
Hands-on experience with observability, monitoring, and debugging frameworks for complex systems
Passion for clean, maintainable code, high system reliability, and scalable architecture
Experience in strategic system design, making architectural trade-offs, and planning for long-term scalability and maintainability
Strong technical leadership and mentorship, including guiding junior engineers and driving engineering best practices across teams

Job Responsibility

Scale an enterprise AI/MCP Server and Gateway that powers multi-agent workflows across Apollo, including routing, orchestration, and integration boundaries
Implement robust server infrastructure to ensure reliability, performance, and security at scale
Build and maintain tools for agent discovery, communication, and coordination
Define deployment strategies and runtime optimizations to maximize efficiency and minimize operational overhead
Develop frameworks and patterns that enable seamless multi-agent collaboration and AI-driven orchestration
Integrate observability, logging, and monitoring for full visibility into server and agent behavior
Explore and implement AI-enhanced developer workflows to optimize orchestration and agent interactions
Collaborate with teams within our org to ensure the MCP Server meets evolving product and developer needs

Senior Software Engineer - Studio - Java, AI

As a Senior Software Engineer, you’ll build the backend that powers AI features ...

Location

United States , New York

Salary:

175000.00 - 240000.00 USD / Year

Clear Street

Expiration Date

Until further notice

Requirements

At least 7+ years of strong proficiency in enterprise Java
Experience designing and deploying AI/ML or LLM-backed systems in production
Familiarity with LLM tooling and patterns: (e.g. tool calling, RAG pipelines and knowledge bases, evals, cost/latency tradeoffs, basic red-teaming)
Experience in supporting and running systems in a production environment
Comfortable working in a dynamic environment, partnering with cross-functional teams, and moving from prototype to reliable production

Job Responsibility

Design, implement, and productionize reliable AI workflows to augment the Studio trading platform
Build tooling to monitor, tune, and evaluate models and workflows, as well as applicable guardrails to ensure outputs meet quality and regulatory requirements
Collaborate with technical and non-technical teams across the firm to identify high ROI AI opportunities
Build rapid prototypes and translate them into production-grade systems. Utilize the latest AI-powered development tools to iterate quickly
Create reusable libraries, SDKs and tooling to enable AI development throughout the firm
Stay current on the latest in applied AI. Read papers, evaluate new models, test out new tools
Participate in code review and architecture design, manage deployments, and support and contribute to the success of the overall Studio platform

What we offer

Competitive compensation, benefits, and perks
Company equity
401k matching
Gender neutral parental leave
Full medical, dental and vision insurance
Lunch stipends
Fully stocked kitchens
Happy hours

Fulltime

Senior Engineering Manager, AI

As a Senior Engineering Manager (Forward Deployed Engineering team) at Atlassian...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
5+ years of experience managing software engineering teams at scale
Experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
Strategic and innovative thinking, with a track record of aligning technical solutions to business goals

Job Responsibility

Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
Mentor and coach your forward-deployed engineering team on best practices in AI/ML solution design, code quality, scalable architecture, testing, debugging, and documentation—ensuring rapid, high-quality delivery of customer-focused, production-ready solutions
Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results

What we offer

Health coverage
Paid volunteer days
Wellness resources

Senior Generative AI Engineer

The Citi Innovation Lab is a leader in creating new ideas, innovative technology...

Location

Israel , Tel Aviv

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Hands-on experience with transformer-based models and their applications
Strong understanding of LLM, LLM model selection, benchmarking, and optimization
Experience with RAG systems and vector databases
Proficiency in developing and deploying AI agents
Knowledge of open-source models and methods, including benchmarks for evaluating AI performance
Knowledge of security risks and mitigation strategies for autonomous AI agents, including OWASP guidelines
Proficiency in Python and experience with libraries such as Pandas, Tabula, and TensorFlow/PyTorch
Strong problem-solving skills and attention to detail
Excellent communication and documentation skills

Job Responsibility

Develop and implement enterprise scale cutting edge models such as visual document understanding and text2code
Implement and Optimize vector-based retrieval systems for RAG by covering embedding models, ANN indexing, hybrid search, and re-ranking
Implement autonomous AI agents to implement adaptive, error resistant data extraction, and content validation tasks
Develop and deploy enterprise software applications using state of the art practices, such as micro services, modular code, as well as proficiency in writing unit and integration tests to ensure the accuracy and reliability of the AI applications
Ensure data privacy and security in all AI-driven processes, adhering to OWASP guidelines and Citi’s stringent authentication and authorization policies
Collaborate with cross-functional teams to integrate AI solutions into existing workflows
Document the development process and create comprehensive technical specifications
Manage and maintain AI applications, ensuring best practices in model management and versioning
Deploy resulting AI applications using industrial strength framework and processes, including Kubernetes and OpenShift for scalable and efficient operations on-premises
Ability to research and develop and utilize transformer-based models for enhanced application performance

Fulltime

Senior AI Product Engineer

As a one person team to start, you are both a product lead and the technical SME...

Location

Australia , Melbourne

Salary:

Not provided

FrankieOne

Expiration Date

Until further notice

Requirements

Recent experience in building AI applications with end to end ownership
10 plus years experience in engineering teams in an Agile environment using JS based frameworks like React
5 plus years developing & supporting Full Stack TS-based SaaS applications production in AWS/Cloud ecosystem
Experience in HTML5, ES6, CSS3/Sass, javascript, typescript, React, React Native for Web (optional), npm and other front-end technologies to deliver enterprise grade frontend applications
Experience in depth of back-end oriented technologies such as nodejs, typescript for managing BFF
Knowledge and experience in tracking technological developments especially AI with vendor offerings and ability to quickly evaluate their value proposition e.g AWS Bedrock
Experience in architecting & building enterprise grade AI applications with Data and AI governance, AI gateways, context management (RAG), inference/prompt management, tools/functions (MCP, A2A), memory & fine-tuning
Experience in capturing business requirements from stakeholders to documenting, architect and building AI applications for both internal and external users
Experience in designing web applications based on AWS well architectured principles, 12 factor web application principles, cloud based software architecture patterns (pub-sub, saga, circuit breaker etc)
Experience in designing reactjs based frontend and backend in nodejs or golang

Job Responsibility

Inspire others
Design with quality
Collaborate
Be proactive
Be an advocate for FrankieOne, for our product, and our values

Senior Gen AI Engineer

At Citi Innovation Labs, we’re building a variety of generative AI applications ...

Location

Israel , Tel Aviv

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Proven Track Record: Demonstrated success in designing and deploying high-impact applications
Experience of leading development efforts from inception to production
Strategic and Analytical Mindset: Ability to approach challenges from a holistic perspective, balancing technical requirements with business goals
Architecture and Design Expertise: Extensive experience in system design, architectural principles, and microservices architecture
Ability to design fault tolerant, high-availability systems
Expertise with LLMs: Hands-on experience with Large Language Models and a strong interest in AI
Multi-Language Mastery: Extensive experience in at least two server-side languages (Python, Kotlin, Java, or Go) and the ability to switch languages use the best tool for the job
Inquisitive Mindset: Eager to learn, experiment, and stay updated with emerging technologies
Cloud Native & Kubernetes: Proven experience in developing and deploying microservice architecture applications using cloud-native tools, such as Kubernetes
Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience

Job Responsibility

Lead and Design Robust Systems: Take ownership of architecture and design of applications, services and libraries, ensuring scalability, resilience, and performance at an Enterprise level
Set Technical Direction: Guide technical standards, best practices, and architectural frameworks to shape the development of generative AI solutions across teams
Mentor and Grow: Provide mentorship and coaching to less experienced developers, helping to build a high-performance team
Write Excellent Code: We care deeply about the craft of code—whether it’s enhancing user experience, optimizing performance, or enhancing an API design
Collaborate Globally: Work closely with global teammates to form a high-performing software development team
Drive Innovation: Identify and experiment with emerging technologies, driving the application of AI to solve challenging business problems
Engage with Stakeholders: Collaborate with data scientists, product owners, and project stakeholders to ensure effective delivery

Fulltime

Senior Software Engineer, AI Enterprise Engineering

Bentley Systems

Location:
Canada

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 25, 2026

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