Senior Software Engineer - AI Adoption Product Job at Multiverse (London)

Agentic AI - Senior Software Engineer

Mastercard Foundry R&D is seeking a Senior Software Engineer to join the Agentic...

Location

Ireland , Dublin 18

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

Hands-on experience building applications or systems using Generative AI, LLMs, or agentic patterns
Experience with one or more modern AI frameworks and SDKs for agent orchestration, AI application development, or coding-agent workflows (for example LangGraph, OpenAI Agents SDK, Vercel AI SDK, or Codex SDK)
Strong understanding of orchestration, tool-calling, context management, and AI system design trade-offs
Strong software engineering experience building scalable, maintainable production systems
Experience with React and/or Next.js
Strong backend engineering skills in Java and/or Python
Experience with developer tooling, automation, CLI-based workflows, and CI/CD
Familiarity with containers, cloud-native development, and service integration patterns
Experience building products, prototypes, and/or internal platforms with a focus on usability and adoption

Job Responsibility

Build software, tooling, and platform capabilities that support Mastercard’s Agentic AI strategy
Design and implement AI-enabled applications, workflows, and developer-facing capabilities
Develop reusable services, patterns, and integrations for AI and agentic systems
Evaluate models, frameworks, and tools across quality, cost, latency, reliability, and maintainability
Contribute to new product and prototype development from concept through validation
Improve developer experience through automation, AI-assisted workflows, and platform thinking
Partner with product, engineering, and business stakeholders to turn ideas into working solutions
Advocate learnings, prototypes, and best practices across the organization

Fulltime

Senior Software Engineer, AI Enterprise Engineering

The AI Operations & Enablement team serves as the engine for Bentley Systems' in...

Location

United States , Philadelphia

Salary:

Not provided

Bentley Systems

Expiration Date

Until further notice

Requirements

Bachelor's or master's degree in Computer Science, Engineering, or a related field
8+ years of professional software development experience, with at least 2 years in a technical leadership or management role
Proven experience of leading hybrid software engineering teams, with a strong emphasis on managing external vendors to ensure accountability and value delivery
Prior experience of leading software teams in greenfield technology evaluations and successfully delivering proof-of-concept projects that influence long-term technical roadmaps
Proven experience in designing and building large-scale, distributed systems
Expertise in one or more object-oriented programming languages such as Python, Java, or C#
Extensive experience with cloud computing platforms (e.g., Azure, AWS, GCP)
A track record of influencing technology strategy beyond your immediate team, contributing to cross-functional architectural standards and best practices
Demonstrated experience in the commercial aspects of technology, including running RFPs, negotiating consultant SoWs or application licensing agreements, and managing vendor relationships
Experience in mentoring software engineers and helping to build a high-performing technical team, with a proven track record of contributing to their growth and development

Job Responsibility

Guide the engineering effort across a blended team, which includes our internal engineers, external consultants, and key third-party vendors, fostering a culture of innovation, collaboration, and continuous improvement
Own the architectural vision for our enterprise AI platforms. You will guide the design of the full solution, from sophisticated AI agents to the intuitive UIs that drive their adoption
Own the full lifecycle of our technology partnerships. This includes leading build-vs-buy analyses, running RFPs, negotiating contracts and SoWs with vendors, and evaluating greenfield technologies to shape the future of our enterprise AI stack
Ensure our platforms are scalable, reliable, secure, and agile in response to changing requirements. You will design an operating model that allows the team to maintain a high velocity by utilizing partner teams such as the IT Support Desk and NOC
You will champion practices like agent-driven development (ADD) to increase both velocity and quality. You champion continuous deployment practices and test-first approaches
You will partner with key internal teams (including AI Business Solutions, AI Digital Workplace, and Product & Technology “P&T”) to architect and build enterprise-scale platforms, lead the integration of 3rd party tools, and deliver agent deployment sandboxes for Bentley Copilot
You will lead technology strategy and vendor partnerships, engaging with external consultants and application vendors to conduct build-buy-wait evaluations for critical business use-cases
Requires sitting or standing at will while performing work on a computer (or any other physical requirements)
Around 25% travel is expected

What we offer

A great Team and culture
An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction
An attractive salary and benefits package
A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups
A company committed to making a real difference by advancing the world’s infrastructure for better quality of life, where your contributions help build a more sustainable, connected, and resilient world

Fulltime

Agentic AI - Senior Software Engineer

Mastercard Foundry R&D is seeking a Senior Software Engineer to join the Agentic...

Location

Ireland , Dublin 18

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

Hands-on experience building applications or systems using Generative AI, LLMs, or agentic patterns
Experience with one or more modern AI frameworks and SDKs for agent orchestration, AI application development, or coding-agent workflows (for example LangGraph, OpenAI Agents SDK, Vercel AI SDK, or Codex SDK)
Strong understanding of orchestration, tool-calling, context management, and AI system design trade-offs
Strong software engineering experience building scalable, maintainable production systems
Experience with React and/or Next.js
Strong backend engineering skills in Java and/or Python
Experience with developer tooling, automation, CLI-based workflows, and CI/CD
Familiarity with containers, cloud-native development, and service integration patterns
Experience building products, prototypes, and/or internal platforms with a focus on usability and adoption

Job Responsibility

Build software, tooling, and platform capabilities that support Mastercard’s Agentic AI strategy
Design and implement AI-enabled applications, workflows, and developer-facing capabilities
Develop reusable services, patterns, and integrations for AI and agentic systems
Evaluate models, frameworks, and tools across quality, cost, latency, reliability, and maintainability
Contribute to new product and prototype development from concept through validation
Improve developer experience through automation, AI-assisted workflows, and platform thinking
Partner with product, engineering, and business stakeholders to turn ideas into working solutions
Advocate learnings, prototypes, and best practices across the organization

Fulltime

Senior Software Engineer, AI Developer Experience

As the founding engineer of the AI - Developer Experience team at Vanta, you wil...

Location

United States

Salary:

179000.00 - 244000.00 USD / Year

Vanta

Expiration Date

Until further notice

Requirements

Senior level industry experience as a software engineer with demonstrated expertise in developer tools, infrastructure, or platform engineering
Experience orchestrating AI agents and automating workflows
Experience building and scaling full-stack applications, including backend systems, APIs, and frontend interfaces
Practical experience with build systems, testing infrastructure, and CI/CD processes
A knack for rapid prototyping and shipping robust, production-ready code
Excellent collaboration and communication skills
Familiarity with TypeScript, React, or Node.js, or a willingness to learn
Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact

Job Responsibility

Lead Vanta's AI tooling strategy for engineering, evaluating and implementing AI-powered development tools (code generation, AI-assisted code review, intelligent testing tools) that meaningfully improve developer productivity
Drive key developer experience initiatives such as bringing UI testing in-house, modularizing our codebase for improved testability and isolation, and continuously improving build and deployment systems
Design and build developer tools and infrastructure that enable engineers across all product teams to ship high-quality code efficiently
Collaborate horizontally across engineering teams to understand pain points, identify opportunities for improvement, and deliver solutions that scale across the organization
Mentor engineers on best practices for development workflows, testing approaches, and AI tool adoption

What we offer

Offers Equity
medical benefits
401(k) plan
other company perk programs
Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
16 weeks fully-paid Parental Leave for all new parents
Health & wellness stipend
Remote workspace, internet, and cellphone stipend
Commuter benefits for team members who report to the SF and NYC office
Family planning benefits

Fulltime

Senior Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

184600.00 - 260700.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

6+ years building production-grade backend systems or developer-facing tools
Hands-on experience with AI/ML technologies such as practical production experience with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, or AI agent development
Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
Experience designing and building distributed systems, microservices, or platform infrastructure
Strong understanding of cloud-native systems (AWS, GCP, or Azure), APIs, and data stores
Solid grasp of CI/CD, automated testing, code review practices, and modern development workflows
Product-minded approach to building developer tools with focus on user experience and measurable outcomes
Excellent communication skills in remote, asynchronous environments with ability to document technical decisions clearly
Ownership mentality with bias for action and iterative delivery
Comfortable working autonomously across distributed teams and navigating ambiguity

Job Responsibility

Build AI-Powered Developer Tools: Design, implement, and ship production-ready AI agents and tools that accelerate developer productivity such as code review and refactoring assistants, automated test generators, local environment setup tools, deployment pipeline diagnostic agents, and on-call assistance tools
Implement LLM Integrations: Build robust, production-grade integrations with LLM APIs (OpenAI, Anthropic, etc.) such as prompt engineering, response parsing, error handling, rate limiting, cost management, and performance optimization
Develop Agent Orchestration Systems: Create agent frameworks and orchestration systems that enable complex multi-step workflows, tool calling, context management, and agent-to-agent communication
Contribute to Platform Infrastructure: Build self-service platform capabilities that enable teams across Docker to rapidly deploy and operate their own AI developer tools such as deployment pipelines, observability integration, security controls, and operational tooling
Drive Adoption of AI-Native Development: Build tools and programs that accelerate adoption of AI developer tools such as Claude Code, Cursor, and Warp across Docker's engineering organization
Ensure Production Quality: Write well-tested code with strong test coverage (unit, integration, end-to-end)
establish monitoring, alerting, and operational excellence for AI systems
Collaborate Cross-Functionally: Partner with Principal Engineer on architecture, work with product and design teams on features and UX, and collaborate with platform teams (Infrastructure, Security, Data) on integrations
Participate in Operations: Take part in on-call rotation for AI developer tools
respond to incidents, debug production issues, and drive continuous improvement of system reliability

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Senior Software Engineer, AI Data

We're seeking an exceptional Senior Software Engineer to join our AI Data team. ...

Location

Salary:

Not provided

AssemblyAI

Expiration Date

Until further notice

Requirements

5+ years of professional software engineering experience
Strong proficiency in Python and SQL with demonstrated ability to write production-quality code
Solid understanding of software engineering fundamentals: Data structures and algorithms
System design and architectural patterns
Testing strategies (unit, integration, end-to-end)
Code review practices and technical collaboration
Experience with: RESTful APIs and distributed systems concepts
Containerization (Docker) and basic cloud infrastructure
Track record of delivering high-quality software in a team environment
Ability to thrive in a startup environment with changing priorities and rapid iteration

Job Responsibility

Architect Next-Gen AI Data Infrastructure
Design scalable, future-proof data platforms optimized for AI research workloads
Build efficient self-serve data processing pipelines leveraging GCP's advanced services
Implement cost-effective storage and monitoring solutions for ML at scale
Create flexible training resource management with intelligent queuing
Optimize resource allocation for maximum training efficiency
Participate in on-call rotation to ensure system reliability
Advance Technical Excellence
Lead adoption of cutting-edge ML tools and frameworks, continuously evaluating and integrating best-in-class solutions
Streamline existing workflows while introducing new tooling that further reduces complexity

What we offer

competitive equity grants
100% employer-paid benefits
the flexibility of being fully remote

Fulltime

Senior Software Engineer (Laravel), AI Solutions

PactFi is seeking a Senior Software Engineer with a strong focus on building and...

Location

United States , New York

Salary:

150000.00 - 170000.00 USD / Year

Fin Capital

Expiration Date

Until further notice

Requirements

Extensive hands-on experience with Laravel building production-grade backend systems
Strong understanding of backend application architecture, data modeling, and scalable system design
Practical experience working with AI/LLM tooling, such as: LLM APIs and agent frameworks, Document parsing and extraction, Vector databases and embeddings, RAG pipelines and model orchestration
Ability to evaluate architectural trade-offs across performance, cost, security, and business value
Strong problem-solving skills and comfort working with ambiguous requirements
Excellent communication skills and a collaborative, ownership-driven mindset

Job Responsibility

Design, build, and maintain robust backend systems using Laravel, with a focus on reliability, scalability, and long-term maintainability
Develop and evolve internal services, core platform components, and shared libraries that power PactFi’s products and operations
Collaborate with Product Managers, engineering leadership, and QA to shape technical solutions and support high-quality releases through thoughtful design, testing, debugging, and iteration
Contribute to architectural discussions, technical standards, and platform-level improvements that support PactFi’s long-term growth
Take initiative on internal projects and exploratory work aimed at improving developer productivity, system reliability, and operational efficiency
Identify high-value AI use cases across the PactFi platform, focusing on real business impact
Design and implement AI-powered backend workflows, including: LLM-driven features and automations, Intelligent agents and decision-support systems, Automated document ingestion and extraction pipelines for large, unstructured, and semi-structured documents (e.g., PDFs, contracts, financial statements)
Lead the integration of AI models and platforms such as OpenAI, AWS Bedrock, Azure AI, Google Gemini, or similar
Design and implement AI workflows for inference, orchestration, evaluation, and production readiness, with attention to reliability, observability, security, and cost
Partner with engineering and data teams to ensure AI solutions integrate cleanly with existing systems, APIs, and data pipelines

What we offer

Offers Equity
Healthcare coverage
401k

Fulltime

Senior Software Automation Engineer (AI & IT Systems)

The purpose of this role is to replace manual, process heavy workflows with scal...

Location

Mexico

Salary:

Not provided

Appen

Expiration Date

Until further notice

Requirements

6 plus years of experience in software engineering, automation, platform engineering, or related roles
Strong foundation in software engineering principles including code quality, testing, and maintainability
Proficiency in Python, JavaScript, Go, or similar languages used for automation and internal tooling
Hands on experience building and operating production systems or internal tools
Demonstrated experience applying AI or LLM based solutions in real world production environments
Background in SRE, DevOps, Platform Engineering, or IT automation with experience operating systems at scale
Experience using AI assisted development tools such as Cursor, GitHub Copilot, Claude Code, or similar tools
Solid understanding of IT systems, enterprise environments, and service management processes
Experience participating in on call rotations and supporting production or internal applications
Strong communication skills with the ability to influence teams across different technical backgrounds

Job Responsibility

Design software-based automation and AI driven systems that improve efficiency, reliability, and scalability of IT and internal platforms
Build internal tools, services, and integrations using APIs, event driven systems, and CI/CD practices
Automate operational workflows using AI and LLM technologies to support decision making and incident analysis
Improve system reliability by turning incident trends and operational pain points into durable automation
Reduce recurring production and internal application issues through structured engineering solutions
Strengthen engineering standards across IT automation through version control, testing, documentation, and observability
Influence teams to adopt software engineering approaches instead of manual or ticket-based models
Maintain internal applications through participation in a business hour on call rotation and use operational insights to drive continuous improvement
Deliver solutions that meet governance, privacy, and reliability standards in collaboration with Security, Compliance, Platform, and Business Systems teams

Fulltime

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Senior Software Engineer - AI Adoption Product

Job Description

Job Responsibility

Requirements

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