What's the Role All About?
The Software Engineer, AI is a customer-facing, billable role responsible for implementing, configuring, and delivering AI-driven and Conversational AI solutions across the NICE CXone ecosystem.  As a hands-on technical contributor, you will build integrations, configure conversational AI platforms, and ensure high-quality execution of project deliverables.  

 How Will You Make an Impact? 

• Technical Implementation and Configuration:  
• Configure, customize, and deploy Conversational AI solutions aligned to defined business and technical requirements.
• Build and maintain integrations using APIs, modern web technologies, and authentication standards.
• Implement, enhance, and optimize bot behaviors using conversational design and prompt engineering best practices.
• Develop proofs of concept (PoCs) and production-ready solution components.
• Support testing, validation, and go-live activities to ensure solutions are functioning as expected across customer environments. 

• Technical Problem Solving & Quality:  
• Diagnose and resolve complex technical issues across SaaS applications, integrations, environments, and data flows.
• Adapt, extend, or refactor existing integrations and solution components to meet evolving customer needs.
• Ensure implementations meet quality, performance, security, and usability standards.
• Produce documentation including specifications, test cases, and deployment materials. 
  
  
• Collaboration with Implementation Teams:  
• Partner closely with Implementation Engineers, Consultants and Project Managers who lead discovery, requirements definition, and solution design.
• Participate in customer workshops to clarify technical details, validate feasibility, and provide subject‑matter input.
• Maintain clear and consistent communication across cross‑functional delivery teams.

Have You Got What It Takes? 

• Bachelor’s degree in technical or business field (e.g., Computer Science, Information Systems, Electrical Engineering) or equivalent work experience.
• 5+ years of professional experience, with 1+ years in digital channels or AI/Bot software applications preferred.
• Technical Skills:
• Strong proficiency in JavaScript; Python familiarity is a plus.
• Solid understanding of:
• REST API integration patterns
• Modern authentication (OAuth2, OIDC, SAML)
• Browser and web security (CORS, X Frame Options)
• HTML/CSS and front-end fundamentals
• Ability to interpret API documentation, implement PoCs, and troubleshoot integrations.
• Strong understanding of conversational UX, AI driven interfaces, and prompt engineering techniques.
• Communication and Collaboration:
• Clear, confident written and verbal communication skills.
• Comfortable engaging with customers to explain technical concepts and implementation decisions.
• Effective collaborator during design discussions, code reviews, technical troubleshooting, and delivery execution.
• Authored detailed design documents, functional requirements documents, test use cases, and deployment guides to support implementation and delivery.

You Will Have an Advantage If You Also Have: 

• Experience designing and deploying enterprise-grade conversational flows and AI orchestration. 
• Experience with NiCE CXone products or other cloud-based contact center platforms. 
• Experience working with enterprise conversational AI platforms (e.g., NICE CXone, Kore.ai, Amelia, Dialogflow, or similar).
• Experience with monitoring, logging, and debugging tools for distributed systems.
• Knowledge of databases (SQL/NoSQL) and data integration patterns.
• Experience working in Agile/Scrum teams and participating in sprint planning and retrospectives.

What’s in it for you?
Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! 

Enjoy NiCE-FLEX!  
At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

Requisition ID: 10592
Reporting To: Manager, Professional Services
Role Type: Individual Contributor

About Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

As the founding leader of Applied AI Solutions Architecture in ANZ, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Australian and New Zealand enterprises and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

You'll be responsible for building and leading the ANZ Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across Australia and New Zealand.

In collaboration with the Sales, Product, and Engineering teams globally and locally, you'll help enterprise partners across ANZ incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.

Responsibilities

• Build and manage the foundational team of Applied AI professionals in ANZ (Solutions Architects and Product Engineers) providing both technical guidance and career development
• Set goals and reviews for your team, promoting growth and output
• Work with a handful of highest-value enterprise customers across Australia and New Zealand on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution
• Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for ANZ enterprise customers
• Contribute to thought leadership through conference presentations, webinars, and technical content creation within the ANZ market
• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
• Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
• Travel regularly to customer sites across Australia and New Zealand for executive-level sessions, technical workshops, and building relationships
• Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
• Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities
• Stay current with emerging AI/ML trends and competitive landscape in the ANZ enterprise tech sector, including the region's highly regulated industries (financial services, government, resources)

You may be a good fit if you have

• 15+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
• 5+ years of technical go-to-market management experience, specifically managing pre-sales teams
• Experience working with ANZ enterprise customers and understanding local business culture, procurement processes, and decision-making dynamics across Australia and New Zealand
• Familiarity with the ANZ regulatory landscape (e.g., Australian Privacy Principles, APRA CPS 234, data sovereignty requirements) and how it impacts enterprise AI deployments
• Experience with the unique technical requirements and technical procurement process of enterprise tech companies
• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
• Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment
• Have excellent communication, collaboration, and coaching abilities
• Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
• Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general
• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
• Make ambiguous problems clear and identify core principles that can translate across scenarios
• Have a passion for making powerful technology safe and societally beneficial
• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
• Stay up-to-date and informed by taking an active interest in emerging research and industry trends
• Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies

How you can help make a better world of work

We're looking for a Senior Engineer to join the AI Research & Experience team, helping build AI Coach - Culture Amp's contextually-aware AI system that integrates survey insights, performance management, and interpersonal dynamics to deliver personalized support to organizations, teams, and individuals at scale.

You'll work at the intersection of applied AI research and product engineering, translating cutting-edge techniques into production systems that genuinely improve how people experience work. This isn't a research lab - you'll be shipping features that solve real customer problems. 

What you'll do

• Staying up to date with current research, literature and provider offerings. 
• Design, implement and evaluate areas and features of our multi-agentic platform and systems using modern frameworks (e.g., LangGraph) for stateful, multi-turn coaching conversations.
• Advise, help build, and orchestrate data pipelines that unify fragmented workplace data (surveys, goals, performance reviews, feedback, 1-1 notes) into coherent coaching context
• Translate customer requirements into technical solutions - working backwards from user needs to system design. Creating technical documentation to support literacy, technical transfer and engineering practice.
• Partner closely with product, design, and people science to ensure the features developed are fit for purpose, and in-line with the existing product expectations to ensure seamless partnership transfer of technology.
• Contribute to evaluation frameworks and bias testing to meet enterprise requirements for transparency and fairness
• Build cutting-edge, working prototypes, integrated into our environments which validate new approaches and accelerate learning.

What we're looking for

Must Haves:

• Proven commercial experience taking ML/AI systems to production.
• Strong technical writer and communicator
• Full stack software development experience, ideally Python, React, PGVector
• Strong software engineering fundamentals - you write clean, tested, maintainable code. 
• You leverage Software development AI tooling effectively.
• Experience with LLM application development (prompt and context engineering, RAG, agent architectures)
• Hands-on experience designing and integrating data pipelines - you're comfortable moving data across systems, working within rigorous security standards, handling messy real-world inputs, and building robust orchestration
• A pragmatic, solution-focused mindset - you evaluate new technology through the lens of "does this scalably solve the problem?" not "is this technically interesting?"
• You fit our values with the proactivity to take risks, and the humility to learn in public. You take pride in your work and its successful utilisation, stability, extendability and maintainability. 

Strong signals:

• Experience at startups or founding teams - comfortable with ambiguity and fast iteration
• Postgraduate degree (Masters or PhD) in Machine Learning, Computer Science, Applied Mathematics, or related quantitative field
• Evidence of taking cutting-edge (relevant) techniques from paper to production
• Experience with evaluation/benchmarking frameworks for AI systems
• Experience integrating scalable solutions such as advanced Speech-to-Text (STT) and Text-to-Speech (TTS) pipelines (e.g., Whisper, ElevenLabs) with streaming capabilities
• Experience implementing GraphRAG or Knowledge Graphs (e.g., Neo4j)

Bonus:

• Familiarity with people analytics, HR tech, or behavioral science applications
• Contributions to data ethics, algorithmic fairness, or responsible AI initiatives
• Open source contributions or public technical writing

Why join AIRX

You'll work at scale on hard problems that matter - building AI that helps organizations develop their people, improve feedback culture, and foster the conditions for sustainable high performance. Our approach is deeply informed by Culture Amp's people science research. You'll be surrounded by talented and passionate advocates for humanity and cutting edge AI in the world of work.

How you can help make a better world of work

We're looking for an Engineer to join the AI Research & Experience team, helping build critical components for AI Coach - Culture Amp's contextually-aware AI system that integrates survey insights, performance management, and interpersonal dynamics to deliver personalized support to organizations, teams, and individuals at scale.

You'll work at the intersection of applied AI research and product engineering, translating cutting-edge techniques into production systems that genuinely improve how people experience work. This isn't a research lab - you'll be shipping features that solve real customer problems. 

What you'll do

• Staying up to date with current research, literature and provider offerings. 
• Design, implement and evaluate areas and features of our multi-agentic platform and systems using modern frameworks (e.g., LangGraph) for stateful, multi-turn coaching conversations.
• Advise, help build, and orchestrate data pipelines that unify fragmented workplace data (surveys, goals, performance reviews, feedback, 1-1 notes) into coherent coaching context
• Translate customer requirements into technical solutions - working backwards from user needs to system design. Creating technical documentation to support literacy, technical transfer and engineering practice.
• Partner closely with product, design, and people science to ensure the features developed are fit for purpose, and in-line with the existing product expectations to ensure seamless partnership transfer of technology.
• Contribute to evaluation frameworks and bias testing to meet enterprise requirements for transparency and fairness
• Build cutting-edge, working prototypes, integrated into our environments which validate new approaches and accelerate learning.

What we're looking for

Must Haves:

• Proven commercial experience taking ML/AI systems to production.
• Strong technical writer and communicator
• Full stack software development experience, ideally Python, React, PGVector
• Strong software engineering fundamentals - you write clean, tested, maintainable code. 
• You leverage Software development AI tooling effectively.
• Experience with LLM application development (prompt and context engineering, RAG, agent architectures)
• You fit our values with the proactivity to take risks, and the humility to learn in public. You take pride in your work and its successful utilisation, stability, extendability and maintainability.

Desirable:

• Hands-on experience designing and integrating data pipelines - you're comfortable moving data across systems, working within rigorous security standards, handling messy real-world inputs, and building robust orchestration
• A pragmatic, solution-focused mindset - you evaluate new technology through the lens of "does this scalably solve the problem?" not "is this technically interesting?"

Strong signals:

• Experience at startups or founding teams - comfortable with ambiguity and fast iteration
• Postgraduate degree (Masters or PhD) in Machine Learning, Computer Science, Applied Mathematics, or related quantitative field
• Evidence of taking cutting-edge (relevant) techniques from paper to production
• Experience with evaluation/benchmarking frameworks for AI systems
• Experience integrating scalable solutions such as advanced Speech-to-Text (STT) and Text-to-Speech (TTS) pipelines (e.g., Whisper, ElevenLabs) with streaming capabilities
• Experience implementing GraphRAG or Knowledge Graphs (e.g., Neo4j)

Bonus:

• Familiarity with people analytics, HR tech, or behavioural science applications
• Contributions to data ethics, algorithmic fairness, or responsible AI initiatives
• Open source contributions or public technical writing

At Sonder, we believe that every person deserves to feel safe, supported, and empowered to be at their best - wherever they are. That’s why we’re redefining workplace health, safety, and wellbeing through a seamless blend of technology and human expertise. Sonder’s mobile platform provides 24/7, real-time support from a dedicated team of safety, medical, and mental health professionals - ensuring that our members receive immediate care when they need it most. In critical situations, we go beyond digital support, offering on-the-ground assistance to manage time-sensitive incidents.

By harnessing real-time insights, we enable organisations to take proactive steps toward a healthier, safer future, which leads directly to tangible bottom-line business outcomes.

An Exciting Time to Join Sonder! 

Since our founding in 2017, Sonder has experienced rapid growth, expanding operations across Australia, New Zealand, and the UK. Backed by Australia’s leading venture capital firms, Seek and Blackbird, we are well-capitalised and on a mission to scale globally, partnering with corporations, educational institutions, and government agencies to transform workplace wellbeing at scale. Our impact and scale: 1,000,000+ members across multiple countries 200+ team members, plus an extensive network of on-the-ground responders If you’re passionate about using technology and human expertise to drive meaningful change, join us in shaping the future of workplace wellbeing!

About the Role

Our Customer Insights and Measurement team at Sonder is looking for a Full Stack Engineer to help us build the next generation of wellbeing intelligence. We are looking for a builder who wants to own the entire journey, from crafting the customer-facing experience and data models to architecting the AI-first, human-in-the-loop insights that power our platform.

At Sonder, "Health and Wellbeing" isn't just a benefit; it’s our product. You’ll be building the tools that measure human impact, helping us move from reactive support to proactive, data-driven actions.

You will own the end-to-end journey of turning raw data into intelligent insights. On any given week, you might be building React-based dashboards, optimizing Snowflake transformations, or architecting multi-agent workflows that help our customers "talk" to their safety data.

What You’ll Be Doing:

Full Stack Development

• End-to-End Ownership: Build and maintain features from the database schema and Snowflake models through to the React UI.
• API Architecture: Design robust back-end services (Python/Node.js) that support data ingestion and high-concurrency reporting.

AI & Agentic Systems

• Agentic Workflows: Design and ship autonomous AI workflows using frameworks like LangGraph, CrewAI, or native tool-use patterns.
• RAG & Context Engineering: Build and optimize RAG pipelines, focusing on retrieval quality, chunking strategies, and metadata filtering.
• MCP Integration: Build and deploy Model Context Protocol (MCP) servers to bridge the gap between our internal data silos and LLM reasoning engines.
• AI Observability: Implement evaluation frameworks (e.g., LangSmith, Arize Phoenix) to monitor "vibe checks," latency, and cost in production.

Data Pipelines & Reporting

• Snowflake Mastery: Design and optimize tables and views that power customer-facing dashboards.
• Insight Automation: Use LLMs to automate the synthesis of complex safety data into actionable executive summaries.

What You will Bring

Must-Have:

• The "Builder" DNA: You are a heavy user of AI-assisted coding tools (Cursor, ClaudeCode, or Copilot) and have moved past the "experimental" phase into shipping production AI.
• Full Stack Fluency: Deep experience in React/Next.js and Python (preferred for AI) or Node.js.
• Data Engineering Literacy: Strong SQL skills and experience with data warehousing (Snowflake strongly preferred).
• Agentic Experience: You understand the difference between a basic prompt and a multi-step agentic loop involving tool-calling and structured outputs.
• Production Mindset: You know that "it worked on my machine" isn't enough; you care about LLM evaluation, prompt versioning, and error handling.

Nice-to-Have:

• Experience with vector databases (Pinecone, pgvector) and embedding-based search.
• Experience with dbt for data transformation.
• Familiarity with LangChain/LangGraph or other orchestration frameworks.
• A portfolio of "AI-first" side projects or contributions to open-source AI tools.
  
  

Why Join Sonder?

• Hybrid and flexible working – strike the right balance for your life and productivity
• Free Sonder app access for you and your family – 24/7 health, safety and wellbeing support
• 2 days study leave
• Paid parental leave – 12 weeks for primary carers and 4 weeks for secondary carers, with a supportive return-to-work program
• Employee Share Option Plan (ESOP) – share in Sonder’s success
• Wellbeing fund – $250 per year to spend your way
• Novated leasing and salary packaging options
• Weekly team perks – free coffee Tuesdays, catered lunch Thursdays, and a dog-friendly office
• Volunteer leave – 2 days per year to support causes that matter to you
• Regular social events and team bonding opportunities

Sonder is for Everyone

We’re committed to building a diverse and inclusive workplace. We encourage applications from people of all backgrounds, experiences, abilities and identities. If you need any support with your application or the recruitment process, please reach out – we’d love to hear from you.

Due to the nature of our industry, all Sonder employees are required to complete a National Police Check and Working With Children Check.

Who We Are

Build. Scale. Sustain. 

We are a global technology consultancy with a trademarked, AI-first engineering approach for accelerating the delivery of digital products, and revolutionizing platform modernization. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally: 5 continents, 10 countries, +500 experts from +50 nationalities across the Americas, Europe and APAC
• We are robust and resilient: 100% independent and 0 debt
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

About Gen-e2^TM

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Leveraging our 16 years expertise in digital transformation, our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents:

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design powered by GitHub Copilot.
• The quality consistently exceeds the output of our best traditional engineering teams.
• A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
• A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.
  With Gen-e2^TM, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your Role 

As a Senior Fullstack Engineer within our Sydney team, you will lead the design, development, and delivery of modern applications using both traditional and AI-augmented engineering practices. You will architect scalable solutions, guide technical decisions, mentor engineers, and ensure delivery excellence across client engagements. 

This is a hands-on engineering role within a consulting environment, working directly with clients to deliver high-impact, scalable solutions. 

You’ll be joining an AI-first engineering organisation, where GitHub Copilot, internal tooling, and prompt-driven development accelerate delivery and elevate engineering quality. You will leverage AI throughout your development workflow and help uplift AI capability across the team. 

This role gives you the opportunity to take ownership of complex systems, influence architectural direction, and drive best practices across engineering squads. You’ll engage directly with clients, gather requirements, translate needs into technical solutions, and act as a trusted technical partner. 

You will work in small, high-performing interdisciplinary teams that collaborate closely, with pair programming, weekly knowledge-sharing sessions, and a supportive engineering community. Our hybrid working model allows focused work from home while maintaining a collaborative office culture with dedicated spaces for engineering squads. 

Responsibilities include: 

• Leading fullstack development across frontend and backend systems
• Architecting and designing scalable, secure, and maintainable solutions
• Guiding technical decision-making and ensuring engineering best practices
• Using AI coding tools (GitHub Copilot, Cursor) across development and troubleshooting
• Conducting thorough code reviews and supporting team-wide quality standards
• Mentoring mid-level and junior developers
• Engaging directly with clients to understand requirements and shape technical solutions
• Supporting DevOps and CI/CD automation workflows
• Identifying opportunities for AI enhancement within applications and development processes 

Who You Are 

Requirements: 

• 5+ years professional software development experience
• Strong expertise in ReactJS for frontend development
• Strong backend experience with Node.js, Java, or .NET
• Experience using AI coding assistants (GitHub Copilot, Cursor) in real projects
• Solid architectural and system design skills
• Strong communication and stakeholder engagement abilities
• Ability to mentor engineers and influence technical direction
• Strong understanding of programming fundamentals and modern design patterns
• Experience with DevOps, CI/CD pipelines, and cloud environments (AWS/Azure/GCP)
• Ability to gather requirements, challenge assumptions, and communicate solutions clearly 

Preferred: 

• TypeScript and modern JavaScript
• Microservices and cloud-native architectures
• AI/ML services or applied AI experience
• Mobile development (iOS, Android, Flutter, React Native)
• Prior consulting or client-facing delivery experience
• Experience leading technical discovery or solution framing 

Common technologies you may work with: 
React, TypeScript, Node.js, Java, .NET, cloud-native architectures on AWS/Azure/GCP, and modern DevOps toolchains. 

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company 
• Deliver projects with a positive impact
• Train 100% of our workforce on impact 
• Achieve B Corp certification among all our offices across the globe 
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training
• Entrepreneurship & intrapreneurship

For more on our team culture and benefits, check out our careers page.

We will be prioritizing applicants who have a current right to work in Australia, and do not require sponsorship of a visa.

PALO IT Australia is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT AU does not discriminate in employment opportunities or practices based on race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for PALO IT.

Your data will be processed to manage PALO IT’s recruitment-related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.palo-it.com/en/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request access, correction and/or withdrawal of your Personal Data.

Who We Are

Build. Scale. Sustain. 

We are a global technology consultancy with a trademarked, AI-first engineering approach for accelerating the delivery of digital products, and revolutionizing platform modernization. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally: 5 continents, 10 countries, +500 experts from +50 nationalities across the Americas, Europe and APAC
• We are robust and resilient: 100% independent and 0 debt
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

About Gen-e2^TM

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Leveraging our 16 years expertise in digital transformation, our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents:

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design powered by GitHub Copilot.
• The quality consistently exceeds the output of our best traditional engineering teams.
• A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
• A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.
  With Gen-e2^TM, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your Role 

This is a hands-on engineering role within a consulting environment, working directly with clients to deliver high-impact, scalable solutions. 

As a Fullstack Engineer within our Sydney team, you will contribute to the design, development, and delivery of modern applications using both traditional and AI-augmented engineering practices. You will work across frontend and backend components, participate in code reviews, and develop scalable and maintainable solutions for our clients. You’ll collaborate closely with cross-functional teams to deliver digital transformation for major Australian enterprises. 

You’ll be joining an AI-first engineering organisation, where GitHub Copilot, internal tooling, and prompt-driven development accelerate delivery and elevate engineering quality. You will be trained to work with AI as part of your daily development workflow. 

This role gives you the opportunity to take ownership of your work, influence technical decisions, and contribute directly to how solutions are designed and delivered. As this is a consulting role, you’ll engage directly with clients, gather requirements, work with stakeholders, and communicate technical solutions effectively. 

You will work in small, high-performing interdisciplinary teams that collaborate closely, with pair programming, weekly knowledge-sharing sessions, and a supportive engineering community. Our hybrid working model allows focused work from home while maintaining a collaborative office culture with dedicated spaces for engineering squads. 

Responsibilities include: 

• Contributing to fullstack development across frontend and backend
• Collaborating with designers, product teams, and engineers
• Participating in code reviews, testing, and quality assurance
• Using AI coding tools (GitHub Copilot, Cursor) to enhance development
• Supporting DevOps workflows and contributing to CI/CD pipelines
• Ensuring maintainability, scalability, and best practices in codebases
• Engaging with clients to understand requirements and shape solutions 

Who You Are 

Requirements: 

• Commercial experience in software development
• Experience with ReactJS for frontend development
• Experience with Node.js, Java, or .NET for backend development
• Interest or experience in AI coding assistants (GitHub Copilot, Cursor)
• Strong problem-solving, communication, and collaboration skills
• Understanding of programming fundamentals and design patterns
• Ability to work effectively in cross-functional teams
• Ability to gather requirements and communicate solutions clearly 

Preferred: 

• TypeScript and modern JavaScript
• RESTful APIs, microservices, and cloud-native architectures
• Cloud platforms (AWS, Azure, GCP)
• DevOps practices and CI/CD pipelines
• Consulting or client-facing delivery environments 

Common technologies you may work with: 

React, TypeScript, Node.js, Java, .NET, cloud-native architectures on AWS/Azure/GCP, and modern DevOps toolchains.  

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company 
• Deliver projects with a positive impact
• Train 100% of our workforce on impact 
• Achieve B Corp certification among all our offices across the globe 
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training
• Entrepreneurship & intrapreneurship

For more on our team culture and benefits, check out our careers page.

We will be prioritizing applicants who have a current right to work in Australia, and do not require sponsorship of a visa.

PALO IT Australia is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT AU does not discriminate in employment opportunities or practices based on race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for PALO IT.

Your data will be processed to manage PALO IT’s recruitment-related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.palo-it.com/en/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request access, correction and/or withdrawal of your Personal Data.