AI Engineer

• Assist in developing and maintaining user-facing features using Angular and TypeScript
• Build and debug backend services with Node.js, under guidance from medior/senior team members
• Test, document, and support new software features
• Learn to use AI productivity tools (e.g., code assistants, AI-assisted code review/test generation) as part of your workflow
• Participate in code reviews and Agile ceremonies, contributing to team discussions and learning best practices
• Integrate with internal/external APIs and enterprise platforms with supervision

Junior Full‑Stack Developer building web applications for internal teams

Junior Full-Stack Developer, AI-Native Mindset

Join AT&T as a Junior Full‑Stack Developer to build web applications and tools. Work with Angular, Node.js, and AI productivity tools for internal teams.

• Independently build and maintain Angular-based client modules and Node.js backend services
• Design, consume, and document REST APIs (OpenAPI/Swagger as needed)
• Leverage AI development tools to speed up feature delivery, review/refactor code, and generate comprehensive tests and docs
• Integrate applications with enterprise APIs (e.g., GitHub, Jira, logging/monitoring, Kubernetes APIs)
• Apply sound software engineering principles (OOP, code organization, maintainability, debugging)
• Participate actively in code reviews, mentor junior team members, and help elevate engineering best practices
• Collaborate closely with stakeholders, contributing to requirement clarification and iterative delivery

Medior Full-Stack Developer designing AI-native features at AT&T

Medior Full-Stack Developer – AI-Native Mindset

Medior Full-Stack Developer at AT&T designing AI-native features across frontend and backend. Collaborating with stakeholders using Angular, TypeScript and Node.js.

• Architect, deliver, and maintain high-quality front-end (Angular/TypeScript) and backend (Node.js) solutions for critical internal tools and dashboards
• Lead integration with complex enterprise APIs and systems (e.g., GitHub, Jira, monitoring, Kubernetes)
• Champion the use of AI development tools and best practices (automated refactoring, test generation, code review) to maximize delivery velocity and code quality
• Set and reinforce engineering standards—design, testing, security, maintainability, and operational excellence
• Coach and mentor junior and medior developers; facilitate code reviews and guide team technical growth
• Collaborate closely with stakeholders to translate operational needs into scalable, production software
• Drive continuous improvement across CI/CD, monitoring, operational automation, and documentation

Senior Full‑Stack Developer leading AI-native engineering initiatives

Senior Full-Stack Developer, AI-Native Mindset

Senior Full‑Stack Developer building strategic tools and platforms for AI-native engineering and mentoring team members. Lead integration with enterprise APIs, championing best practices.

• Collaborate with customers to develop agent capabilities and workflows
• Design, ship, and operate agentic systems for large-scale data
• Build dependable tools and interfaces
• Develop and maintain the MCP server
• Work across the entire stack

Software Engineer at Sift developing AI agents for hardware telemetry analysis

Software Engineer, Full Stack – Agentic AI

Software Engineer at Sift developing agentic AI systems for telemetry insights. Collaborating with customers on product ownership and tool design.

• Talk directly to customers and partner with product to turn real review workflows into agent capabilities: generating dashboards, writing analysis scripts, and surfacing insights buried in their telemetry
• Design, ship, and operate agentic systems that reason over large-scale time-series data and hardware domain context
• Build everything around the model that makes agents dependable: tool interfaces, sandboxed execution for agent-generated code, context and memory management, custom compaction algorithms, opinionated skills, and guardrails
• Develop and maintain Sift’s MCP server, the tool surface that lets both our agents and our customers’ AI tools query telemetry directly
• Work across the whole stack
• Build the frontend surfaces where Sift Agents live, and make them feel great
• Design and implement the APIs that power our agentic capabilities
• Run agents reliably at scale, both in the cloud and on-prem
• Build evaluation suites that measure whether agents actually help engineers, and instrument quality, latency, cost, and failure modes in production
• Integrate and assess frontier models across providers

Software Engineer creating AI systems for engineering insights at Sift

Software Engineer responsible for developing agentic systems that utilize telemetry for hardware engineering. Engaging with customers and owning product features from inception to iteration.

• talk directly to customers and partner with product to turn real review workflows into agent capabilities
• design, ship, and operate agentic systems that reason over large-scale time-series data
• build everything around the model that makes agents dependable
• develop and maintain Sift’s MCP server
• work across the whole stack
• build the frontend surfaces where Sift Agents live
• design and implement the APIs that power our agentic capabilities
• run agents reliably at scale
• build evaluation suites that measure whether agents actually help engineers

Senior Software Engineer developing agentic AI for hardware engineering teams

Senior Software Engineer, Full Stack – Agentic AI

Senior Software Engineer developing agentic AI for hardware engineering teams, with product ownership and customer interaction. Designing dependable systems for large-scale time-series data.

Senior Software Engineer developing dependable AI systems for hardware engineering teams

Senior Software Engineer developing dependable AI systems for hardware engineering teams at Sift. Engaging directly with customers to enhance review workflows and telemetric insights.

• Develop comprehensive change management strategies for AI implementation
• Conduct stakeholder analysis and create stakeholder engagement plans
• Design and deliver communications campaigns that support AI adoption
• Develop training plans and materials for end‑users
• Establish and support networks of change champions
• Track benefits, measure adoption and produce reporting
• Conduct business readiness assessments
• Manage resistance and develop mitigation strategies
• Support post‑implementation transition to BAU operations
• Collaborate with project delivery teams to align change activity with solution rollout

Change Manager leading AI transformation initiatives in public sector

AI Adoption Lead

Change Manager leading human, cultural, and organisational aspects of AI transformation for public sector organizations. Collaborating with delivery teams and stakeholders to enhance service delivery and adoption.

• Act as the primary point of contact with major clients during project delivery and represent the company on Project Steering Groups
• Manage all elements of the PRINCE2 Agile project management lifecycle for AI transformation programmes
• Coordinate technical implementation teams for projects and solutions across multiple concurrent workstreams
• Manage project budgets, resourcing, risk management and stakeholder engagement across multiple council departments
• Provide client communications and reporting, including regular Highlight reports and project status updates
• Ensure accountability for project quality through test plans, governance reviews and risk management
• Create and maintain project documentation including Project Initiation Documentation, Project Plans, RAID Logs, and Change Management Trackers
• Deliver Risk Management, Stakeholder Management, Budget Management, Benefits Realisation, Business Intelligence and Renewal management
• Effective resource planning to ensure maximum billable resource allocation
• Provide consultancy services and gather solution requirements from stakeholders
• Support the Project Management Office team with PMO continuous improvement initiatives.

AI Transformation Lead managing AI solutions for local government clients

AI Transformation Lead

AI Transformation Lead responsible for delivering AI transformation programmes using PRINCE2 Agile methodologies in local government. Managing client relationships and technical implementation teams across multiple workstreams.

• Partner with business and technology teams to identify, evaluate, and prioritize AI use cases.
• Translate business needs into scalable AI solution designs and implementation plans.
• Lead delivery of AI-enabled products and solutions from concept through production.
• Provide technical leadership to engineers, contractors, and delivery teams.
• Guide architecture, design, and implementation decisions related to AI and software engineering.
• Present AI capabilities, demonstrations, and solution recommendations to business and technical stakeholders.
• Collaborate with enterprise AI, architecture, and technology organizations to align initiatives and leverage existing capabilities.
• Influence AI strategy, adoption, and best practices across WCIB.
• Support team growth through mentoring, leadership, and participation in hiring activities.

AI/ML Enablement Lead Engineer driving AI solutions at U.S. Bank

AI/ML Enablement Lead Engineer

AI/ML Enablement Lead Engineer leading AI adoption and scaling solutions at U.S. Bank. Partnering with stakeholders to deliver AI capabilities across Banking sectors.

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Senior Software Engineer, Full Stack – Agentic AI

Senior Software Engineer, Full Stack – Agentic AI

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