Lead Front End Developer - Agentic AI Platform Job at Mastercard

Staff Software Engineer, AI Agent Platform

The Geico AI Agent Platform team is seeking an exceptional Staff Software Engine...

Location

United States , Chevy Chase; New York City

Salary:

115000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Mathematics, or a related field
an advanced degree (master’s or Ph.D.) is highly desirable
6+ years of hands-on experience in designing, implementing, and maintaining multi-tenant AIML systems and platforms in production environments
6+ years of experience working with cloud platforms such as Azure and AWS
Extensive expertise in designing and deploying large-scale data pipelines and real-time inference systems and managing the end-to-end AI Agent and/or AIML system development lifecycles, including configuration, evaluation, monitoring, observability and AuthN/AuthR considerations
6+ years of experience working with common backend systems & tools (e.g, Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4J, etc.)
Deep understanding of Docker, container optimization, and multi-stage builds
Experience with Prometheus, Grafana, Open Telemetry and distributed tracing
3+ years of experience building front-end web applications using frameworks such as React and/or Next.JS
Deep proficiency in programming languages such as Python, Java, Go, etc., with a strong emphasis on coding excellence

Job Responsibility

Architect and implement scalable multi-tenant backend systems for building AI agent workflows, including agent configuration, offline evaluation, synthetic data generation, workflow simulation, agent marketplace, etc. using Azure Kubernetes Service (AKS), FastAPI, etc., ensuring economy of scale and control cost of maintenance
Collaborate with Design team to architect and implement frontend experiences and workflows for onboarding both technical and non-technical stakeholders, maximizing user adoption and successful AI agent development
Develop observability frameworks to ensure 99.9%+ uptime for AI agent platforms through robust monitoring, alerting, and incident response procedures
Evaluate and (if desirable) integrate cutting-edge GenAI frameworks, libraries and vendors to maintain a state-of-the-art technology stack, including hybrid cloud solutions with AWS/GCP as backup or specialized use cases
Architect and implement scalable, high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows
Oversee the end-to-end lifecycle of AI agent applications, ensuring robust testing, deployment, and ongoing monitoring
Ensure adherence to company production readiness standards, security protocols, and regulatory compliance throughout the development lifecycle
Continuously optimize platform performance, reducing latency and improving throughput for AI agent workloads
Design and implement backup, recovery, and business continuity plans for hosted platform applications & services
Design and maintain robust CI/CD pipelines for ML model deployment using Azure DevOps, GitHub Actions, and MLOps tools

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Technical Lead

Springboard is a six-week internal accelerator run by the AI Studio, designed to...

Location

United States

Salary:

Not provided

Zeektek

Expiration Date

Until further notice

Requirements

Full-stack AI development proficiency: own the complete solution across data, AI pipeline, API, and UI layers without requiring additional engineering support.
LLM integration and orchestration: hands-on experience building production-grade AI pipelines including tool use and function calling, retrieval-augmented generation (RAG), structured output handling, streaming, and multi-step agentic workflows.
AI-native application development: proficiency with rapid development platforms (e.g., Lovable, Bolt, v0) for fast front-end prototyping and end-to-end application assembly.
Workflow automation and integration: experience with event-driven orchestration and low-code/no-code integration platforms (e.g., n8n, Make, Zapier) for connecting enterprise systems, transforming data, and building automated pipelines without custom middleware.
Cloud infrastructure: proficient deploying and operating services in AWS sandbox environments including compute, managed AI services, object storage, and serverless functions (e.g., Lambda, API Gateway, Bedrock).
API and systems integration: strong REST and webhook fluency, OAuth and API key authentication patterns, and JSON/data transformation for connecting to enterprise systems.
Ability to evaluate and adopt new AI tooling rapidly
this stack evolves and you are expected to keep pace.

Job Responsibility

Architect and build one to two full-stack AI prototypes per cohort inside the sandbox (AWS), selecting and configuring the appropriate AI development stack for the use case.
Translate use case requirements and executive input into a scoped technical architecture, making deliberate build-vs-configure-vs-integrate decisions that are achievable within the sprint.
Design and implement AI pipelines using available LLM APIs (e.g., Claude, OpenAI, Bedrock), including prompt engineering, tool use and function calling, RAG architectures, and agentic workflow patterns as appropriate to the use case.
Build functional front-end interfaces using AI-native rapid development platforms (e.g., Lovable, Bolt, v0) and wire back-end logic and data flows to deliver a complete, demo-ready application.
Implement workflow automation and system integration using orchestration platforms (e.g., n8n, Make, Zapier) to connect enterprise data sources, APIs, and downstream systems.
Develop prototypes that are stable, clearly scoped, and capable of running live in front of executive audiences without failure.
Iterate rapidly based on AI Strategist and executive feedback throughout Weeks 2 through 6, treating their input as product requirements.
Assess and articulate the production gap: what was built in the sandbox versus what a production deployment requires across integration, data governance, security, and scale.
Contribute technical input to the build-vs-buy recommendation, Product Requirements Document, and AIRB submission materials.
Document architecture decisions, tool selections, API configurations, and implementation details in the Handoff Package so engineering teams can continue the work after Demo Day.

What we offer

Weekly Direct Deposit
401K Matching
Competitive medical, dental and vision insurance
Consistent communication throughout your project
ZeekTek Referral Program

Principal Software Engineer

Join the team building the future of AI at Microsoft. Are you passionate about c...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

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
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
6+ years of technical engineering experience with coding in languages including, but not limited to TypeScript, JavaScript, React, Python, C#, Node.js
6+ years of experience in platform or front-end development using multiple languages and frameworks including JavaScript, TypeScript, and React
4+ years of experience in backend service development (APIs, microservices, or distributed systems) OR 4+ years of experience in creating developer platforms (APIs, SDKs, CLIs, etc.)
Demonstrated proficiency with AI-assisted software development tools and workflows
Expertise in LLM and GenAI Application development
Deep understanding of modern front-end technologies such as NextJS / Remix , SSR , Web Components, and performance optimization techniques

Job Responsibility

Leverage modern, AI-assisted development practices and tooling to accelerate delivery while maintaining high code quality
Architect full stack solutions that span from user experience and code-first platforms to backend data and service layers
Develop software using languages such as TypeScript, JavaScript, React, Python, and others
Design, develop, and maintain backend services and APIs that support agentic workflows and platform capabilities
Collaborate with partner teams to comprehend, define, enhance, and develop AzureML capabilities
Respond, resolve, and integrate customer feedback with agility and dedication
Lead by example, adhering to best engineering practices, raising the quality bar, and improving the team's response to customer incidents

Fulltime

Senior Data Scientist, Generative AI Products

We are seeking a talented Generative AI Engineer to join our team. In this role,...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
Advanced degree in computer science, data science, engineering, or a related field within AI/ML
3+ years of experience building (Generative) AI models and tools highly preferrable
Experience working in a similar role in a startup environment preferrable
Expertise in NLP, deep learning, and other relevant techniques
Strong programming skills in Python and frameworks like TensorFlow
Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools
Experience integrating AI into consumer-facing applications (front-end and back-end development for integrating AI solutions into web applications
Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools (such as NeMo)
Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems

Job Responsibility

Lead comprehensive applications/web development for highly complex projects
Deliver strategic and expert coding
focus on overarching development strategy for a large, complex, multi-faceted application
May manage a number of projects simultaneously
Design and implement efficient data pipelines for data collection, cleaning, labeling, and preprocessing
Ensure quality of datasets tailored for LLM training for each product
Build data science pipelines from feature generation, data visualization and models evaluation
design the solution, build code and provide documentation with ways of working to maximize time to value, re-usability, and scalability
Designing, developing, deploying, and implementing multi-agent AI tools that: Assess and provide feedback on venture-related submissions
Automatically generate pitch decks, financial projections, marketing strategies, and other materials to support entrepreneurs

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Fulltime

Principal Software Engineer-Fullstack-CoreAI

Join the team building the future of AI at Microsoft. Are you passionate about b...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

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
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
6+ years of experience in platform or front-end development using multiple languages and frameworks, including JavaScript, TypeScript, and React
Deep understanding of modern front-end technologies such as NextJS / Remix, SSR, Web Components, and performance optimization techniques
Demonstrated proficiency with AI-assisted software development tools and workflows (e.g., AI coding agents, LLM-powered development environments) to solve hard engineering and customer problems
Experience working on large-scale, UI-intensive product development
Passion for machine learning, artificial intelligence, and data science

Job Responsibility

Leverage modern AI-assisted development practices and tooling to accelerate delivery while maintaining high code quality
Architect full stack solutions that span from user experience through to backend data and service layers
Develop software using languages such as TypeScript, JavaScript, React, and others
Design, develop, and maintain backend services and APIs that support agentic workflows and platform capabilities
Collaborate with partner teams to comprehend, define, enhance, and develop AzureML capabilities
Respond, resolve, and integrate customer feedback with agility and dedication
Lead by example, adhering to best engineering practices, raising the quality bar, and improving the team's response to customer incidents

Fulltime

AI Engineer

We are seeking a talented and passionate AI Engineer to join our growing team. I...

Location

Hungary , Budapest

Salary:

Not provided

BASIC/DEPT®

Expiration Date

Until further notice

Requirements

Hands-on experience building and deploying Machine Learning and AI solutions, using frameworks such as Scikit-learn, TensorFlow, PyTorch, LangChain, LangGraph, or similar technologies
Experience working across the full GenAI lifecycle and ability to implement concepts as observability, prompt optimization, evaluation, deployment, and monitoring in production environments
Experience with cloud platforms (AWS, Azure, GCP) and their respective AI services (SageMaker, Azure ML, Vertex AI)
Solid proficiency in Python and experience writing clean, testable, reusable code in professional software development environments
Experience designing and implementing RAG solutions, including data ingestion from multiple sources, embedding strategies, and integration with vector search databases
Direct availability to start working in Budapest, Hungary

Job Responsibility

Design, develop and implement data-driven solutions tailored to client challenges, leveraging predictive models and AI technologies to deliver business value
Consult and guide clients by defining AI use cases, validating ideas through proof of concepts (POCs) and deploying scalable production-ready systems
Build and maintain end-to-end AI systems, with focus on scalability, observability and continuous optimization of model performance using MLOps principles
Develop multi-agent and AI workflows, built from scratch or using low-code tools, that reliably orchestrate data, tools, and context into production-grade solutions
Architect robust and modular backend services, applying SOLID principles to ensure maintainability, testability, and seamless integration of AI components into broader software ecosystems
Design, document, and develop RESTful or GraphQL APIs that serve as the interface between AI workflows and end-user applications
Work closely with back-end engineers, front-end developers, DevOps, strategists and clients, taking a leading role in aligning efforts and delivering impactful solutions
Communicate complex technical solutions clearly to both technical and non-technical stakeholders, including progress updates, demos and presentations

What we offer

Hybrid working policy
A reputation for doing good. DEPT® has been a Certified B Corp® since 2021
Awesome clients. Whether big, small, local or global — at DEPT® you’ll get the opportunity to work with all of them. And we celebrate all of our successes together
The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications
Global annual DEPT® Cares Month in which employees come together and donate their skills to support local charities

Lead AI Engineer, Banking Technology - Senior Vice President

We are seeking an AI‑first Lead AI Engineer to define, architect, and deliver en...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of progressive software engineering experience with sustained hands‑on contributions.
3+ years of dedicated experience in AI, LLM‑based systems, and agentic architectures.
Proven success architecting and delivering multiple enterprise‑scale AI solutions into production.
Expert‑level proficiency in Python and/or Java (Spring Boot)
solid experience with JavaScript/TypeScript (Angular, Node.js).
Deep knowledge of AI fundamentals (knowledge representation, automated planning, decision‑making under uncertainty, multi‑agent systems).
Extensive hands‑on experience with LLM platforms (OpenAI, Anthropic, Google), RAG pipelines, MCPs, and agent frameworks (Google ADK).
Demonstrated effectiveness with AI coding tools (Devin, Claude Code, GitHub Copilot, Antigravity).
Strong experience with ML frameworks (TensorFlow, PyTorch) and data science libraries.
Proven ability to design and expose robust, scalable APIs for AI services.

Job Responsibility

Lead integration of functions to meet goals, deploy new products, and enhance processes
Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
Develop application methodologies and standards for program analysis, design, coding, testing, debugging, and implementation
Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals
Consult with end users to identify system function specifications and incorporate into overall system design
Allocate work, and act as an advisor/coach developers, analysts, and new team members
Influence and negotiate with senior leaders and communicate with external parties
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.
Lead the design, hands‑on implementation, and deployment of scalable agentic AI and generative AI solutions for high‑impact business use cases.

Fulltime

Principal Architect

The Lead Low-Code Engineer will be the principal technical leader responsible fo...

Location

United States , Menlo Park

Salary:

Not provided

OutSystems

Expiration Date

Until further notice

Requirements

7+ years of hands-on, expert-level experience with the OutSystems platform, including significant time in a Lead, Principal, or Architect role designing and deploying large-scale, mission-critical enterprise applications
Proven ability to define and implement complex, scalable low-code architectures, including multi-layer application models, environment management, and data separation strategies
Deep knowledge of building robust integrations (consuming/exposing REST/SOAP APIs) and experience with platform extensibility (using C# or Java) when required
Expertise in diagnosing and optimizing OutSystems application performance, including server-side logic, data queries, and deployment architecture
Architectural Vision: Proven ability to translate strategic goals into clear, executable technical architecture roadmaps
Team Leadership: Demonstrated success in leading, motivating, and upskilling technical teams, driving both quality and speed
Governance Mindset: Strong passion for establishing and enforcing technical standards and best practices to ensure long-term stability and maintainability of solutions

Job Responsibility

Define Low-Code Architecture: Establish and enforce the reference architecture for all solutions built on the OutSystems platform, prioritizing modularity, scalability, security, and performance (e.g., component reuse, data modeling, environment strategy)
Standardization: Develop and maintain the low-code best practice guide for the team, covering areas like code structure, application lifecycle management (ALM), defensive programming, and integration security
Quality & ALM: Oversee the team’s use of OutSystems LifeTime, internal CI/CD pipelines, and testing frameworks to ensure rapid, reliable, and high-quality deployment of packaged solutions
Integration Strategy: Define the patterns for robust and secure integration between the OutSystems low-code applications and external services, specifically the AI Agent APIs and other enterprise systems
Hands-On Leadership: Act as the technical Subject Matter Expert (SME) for complex OutSystems issues, personally leading the development of critical architectural components and accelerators
Mentorship & Review: Conduct comprehensive low-code code reviews, mentor Senior Engineers, and drive continuous improvement in the team’s technical skills and productivity
Tooling: Research and recommend advanced OutSystems features, external integrations, and development tools to maximize the efficiency of the solutions factory
Work closely with the Lead AI Engineer and Lead Front-End Engineer to ensure seamless and efficient integration between the user experience layer, the low-code business logic, and the core AI agent back-ends
Collaborate with the Director of Solutions to align low-code technical strategy with the overall solutions roadmap and platform capabilities

What we offer

Real career opportunities
Work colleagues that are as smart, hard-working, and driven as you
A company that is always growing, changing, and innovating

Fulltime

Lead Front End Developer - Agentic AI Platform

Mastercard

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 02, 2026

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