Lead Software Engineer (AI) Job at HSBC

Senior Software Engineer and Principal Software Engineer - Power Point AI Team

The PowerPoint team is embarking on an exciting new chapter - evolving a product...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
8+ years of experience in backend service engineering, including work on high-scale infrastructures
Proficiency in one or more systems programming languages such as C#, C++
1+ years of experience in software engineering, designing and developing systems (and APIs) that deploy and integrate with AI models
2+ years of experience working with rich telemetry, making data driven decisions, and carrying out rapid experimentation
2+ years of experience building software for scale, performance, and reliability
Academic or industry experience with building, finetuning, deploying or building eval-driven systems utilizing the models (any category)

Job Responsibility

Lead design and delivery of complex, scalable AI features ensuring resilience and exceptional user experience
Drive technical strategy and architecture decisions across multiple services, influencing partner teams and aligning with compliance and security requirements
Champion modern engineering practices, including AI-driven approaches, automation, and cloud-native patterns, across the full development lifecycle
Mentor and guide engineers, fostering technical excellence and continuous improvement in security, reliability, and performance
Collaborate cross-org to solve challenging technical problems, streamline processes, and reduce operational costs while improving live-site health
Design and implement scalable backend services optimized for machine learning workflows and large language model integration
Develop and maintain evaluation-driven systems that leverage text and multimodal inputs (e.g., images) to power visual-creation experiences
Build and optimize APIs and infrastructure to support high-performance model inference and experimentation at scale
Collaborate with product, ML, and design teams to integrate models into user-facing features, ensuring seamless functionality and performance
Conduct model evaluations and experiments, analyze results, and iterate on improvements to enhance accuracy and user experience

Fulltime

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)

Location

United States , New York; San Francisco; San Jose; Cambridge; McLean

Salary:

197300.00 - 245600.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
At least 4 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Lead Software Engineer - AI Products

At hyperexponential, we’re building the AI-powered platform that enables the wor...

Location

United Kingdom , London

Salary:

Not provided

hyperexponential

Expiration Date

Until further notice

Requirements

Built and shipped technically complex production systems in Python (ideally, but we are also open to Rust and Kotlin, with TypeScript as strong plus), including distributed services and cloud-based infrastructure
Solved messy, real-world engineering problems involving data, scale, performance, or reliability — not just greenfield CRUD apps
Taken end-to-end ownership of technical initiatives: identifying opportunities, designing solutions, and delivering impact
Communicated complex technical ideas clearly to a range of stakeholders, from engineers to product leaders
Influenced engineering direction and culture, scaling local wins into broader practices
Delivered AI or ML-powered products from prototype to scale, balancing experimentation with production rigour - nice to have.

Job Responsibility

Architect and build AI-driven products from scratch, tackling complex problems with no established playbook
Lead the design and implementation of novel features such as domain-specific coding copilots within hx’s proprietary development environment
Partner with cross-functional peers to shape architectural decisions, ensuring scalability, reliability, and long-term sustainability of our AI systems
Experiment, prototype, and ship rapidly, seeing innovations move quickly from idea to production in live customer environments
Contribute to the evolution of hx’s AI technical vision, embedding best practices and advancing engineering excellence across the team
Act as a multiplier: mentoring engineers, raising standards, and building a culture of curiosity, speed, and quality.

What we offer

£5,000 training and conference budget for individual and group development
25 days of holiday plus 8 bank holidays (33 days total)
Company pension scheme via Penfold
Mental health support and therapy via Spectrum.life
Individual wellbeing allowance via Juno
Private healthcare insurance through AXA
Income protection and Life Insurance
Cycle to Work Scheme
Top-spec equipment (laptop, screens, adjustable desks, etc.)
Regular remote and in-person hackathons, lunch and learns, socials, and game nights

Fulltime

Sr. AI Lead Software Engineer

This is a great opportunity for an experienced senior level Software Engineering...

Location

United States , Indianapolis

Salary:

Not provided

Beacon Hill

Expiration Date

Until further notice

Requirements

Must have 10+ years’ experience in full stack software engineering
Must have 5+ years’ experience as a software development lead
Must be able to serve as technical lead / SME across an organization’s AI tools and services
Must have experience delivering multiple AI use cases into production at scale
Must have a solid understanding and experience with generative AI in the software development space
Must be able to architect and deliver production-grade LLM-powered applications, including chat, document intelligence, and agentic workflows
Must be able to mentor onshore and offshore engineering teams on use of AI to improve code quality, architecture discipline, and delivery velocity
Must be able to design scalable, secure, cloud-native systems using Azure, Docker, Kubernetes, and event-driven architectures
Must be able to design and implement prompt engineering, evaluation frameworks, and observability for AI systems
Must be able to ensure enterprise standards for authentication, authorization, and system integration

Job Responsibility

Use experience with generative AI to design, build, and scale AI driven applications that deliver measurable business outcomes
Blend of hands-on architecture, development, coaching and mentoring, technical leadership, client-facing execution, and a strong emphasis on Azure-based AI platforms, LLM integrations, and agentic systems for fast AI experimentation pilots

Lead Software Engineer - AI Platform

As a Lead Software Engineer - AI Platform at OutSystems, you will bridge researc...

Location

Salary:

Not provided

OutSystems

Expiration Date

Until further notice

Requirements

Bachelors and preferably Masters in Computer Science, Software Engineering, or a related technical field
7+ years of hands-on professional experience with 5+ years in SW Engineering and 2+ years in applied AI roles, with a proven track record of delivering impactful products
Strong programming skills with a focus on designing and implementing end-to-end full stack solutions
Proven ability in designing, building, and shipping complex, data-intensive, and scalable systems in a real-world setting
Strong problem-solving skills and programming proficiency, with the ability to design and implement end-to-end solutions
Experience in Python is a must, in C# is valued
Experience with Web Development, using React (plus)
Solid understanding of system design, architecture, and engineering best practices
A collaborative mindset with a willingness to learn new domains, including AI

Job Responsibility

Design of AI systems, cross teams and in collaboration with multiple stakeholders
Work closely with Research Scientists and other AI Engineers to prototype, implement, and productionize innovative features—gaining expertise in AI on the job
Build highly available, fault-tolerant AI systems with a focus on scalability, performance, and reliability
Contribute to AI data pipelines and feedback loops that support continuous improvement of intelligent features
Guide, mentor, and elevate the technical capabilities of other AI Engineers, fostering best practices in design, implementation, and AI development
Maintain deep knowledge of the state-of-the-art in AI systems, agents, and dev tools, championing the adoption of relevant advancements within the team and company
Interact and collaborate cross-functionally with different teams to identify opportunities and improve our AI products and infrastructure

Fulltime

Lead Software Engineer - AI Engineering

Join RTB House and lead our AI Engineering Lab, a team dedicated to pioneering i...

Location

Poland

Salary:

Not provided

RTB House

Expiration Date

Until further notice

Requirements

Minimum of 6 years of professional experience in Software Engineering, with a strong background in building and deploying complex, large-scale systems
Distributed Systems Expertise: Proven, hands-on experience designing, developing, and operating distributed systems at scale (e.g., microservices, event-driven architectures, stream processing)
Programming Languages: Proficiency in at least two programming languages, with Python being mandatory
AI/ML Engineering: Basic understanding of the Machine Learning lifecycle, MLOps practices, and experience in integrating ML models (especially LLMs) into production applications
Technical Leadership: Demonstrated experience in technical leadership, including defining technical roadmaps, mentoring junior engineers, leading code reviews, and driving architectural decisions
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Job Responsibility

Lead, mentor, and grow a team of talented Frontend/Full Stack and Backend engineers, fostering a culture of technical excellence and high code quality
Serve as a Full Stack tech-leader (often hands-on), contributing to the design and development of key architectures and full stack solutions that support various platforms (Web, Mobile, CTV)
Define and execute the team's charter, focusing on end-to-end customer interactions and the reliable display of ads globally
Develop and oversee state-of-the-art observability systems for the Ad Display platform, tracking crucial metrics like reliability, viewability, latency, and providing deep debugging insights for ad creation teams
Provide governance for cross-team ad rollout, including defining best practices and tooling for rigorous testing and deployment strategies (A/B testing, Canary deployments)
Lead complex technical projects at massive scale, ensuring our solutions can handle millions of requests and maintain high performance worldwide
Collaborate intensely with a Staff Frontend Engineer, stakeholders from Ads layouts creation teams (designers, graphic specialists), and the core Bidding Platform backend teams.

What we offer

Projects focused on high code quality – solid code reviews are our standard
Collaboration within an interdisciplinary, self-sufficient team including: DevOps (ensuring a great Developer Experience), database experts, backend developers, product designers, and QA engineers
Hardware and software tailored to your preferences – e.g. MacBook, AI tool licenses
Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects
Flexible working conditions – no core hours, fully remote cooperation.