The Role

Podium is looking for a talented AI Engineer where your primary mandate is twofold: rebuild and modernise our lead funnel using AI-first architecture, and design and deploy a suite of internal AI agents that eliminate repetitive, manual work for our AEs and SDRs — giving them more time to sell.

If you thrive in fast-paced, highly iterative environments, enjoy solving complex distributed systems challenges, and want to see your work drive immediate business impact, this role is for you!

What you will be doing

• Build and scale the AI Agent platform — enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale.
• Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions.
• Own the full lifecycle: architecture, implementation, deployment, and ongoing reliability.
• Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience.
• Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency.
• Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features that power critical business outcomes.

What you should have

• 5-8+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir.
• 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
• Proven success designing and maintaining distributed or high-throughput systems.
• Strong problem-solving ability and comfort navigating ambiguity in large-scale systems.
• Excellent communication skills and the ability to work effectively across teams.
• A willingness to work across the entire stack—from infrastructure to APIs to user-facing components—wherever the problem needs solving.
• Ability to thrive in a fast-paced environment with shifting priorities.

What we hope you have

• 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
• Practical experience designing and implementing evaluations for LLM behavior — including accuracy, safety, reliability, and cost monitoring.
• Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior.
• Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns.
• Hands-on experience with fine-tuning and data curation for improving model performance.

Why you’ll love working here: 

• Podium is the best place to work to:
• Join the leaders in AI agents
• Unlock career-defining growth
• Build with world-class talent
• Make a real impact on local business

Benefits:

• Open and transparent culture 
• Health and Wellbeing Benefits
• 4 weeks of annual leave
• Melbourne CBD Office - Located on the corner of Queen & Collins St
• Snacks cupboard always stocked up
• Catered lunch the last week of every month

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

So, what’s the role all about?

A NiCE AI Forward Deployed Engineer is a highly technical full-stack engineer responsible for designing, building, and deploying AI-driven customer engagement solutions using the NiCE digital and AI portfolio. This role sits at the intersection of software engineering, AI agent development, and customer solution architecture. The engineer works directly with customers and internal stakeholders to translate complex business challenges into intelligent automation solutions across voice and digital channels. The AI Forward Deployed Engineer will design, prototype, and operationalize AI agents that integrate with enterprise systems and deliver scalable customer self-service experiences powered by intelligent virtual agents, knowledge management, and omnichannel engagement capabilities. This role requires deep technical expertise across full-stack development, AI agent architectures, APIs, integrations, and conversational automation, combined with the ability to collaborate directly with customers and business leaders.

• You'll architect and deliver production-ready conversational AI agents that sit at the core of the business and directly fuel company growth.
• These are live, scalable agentic AI systems, not experiments or proof-of-concepts, operating across sectors like financial services, healthcare, and commerce.
• You'll have full ownership of the entire AI agent lifecycle, steering projects from early pilot through launch and ongoing refinement.
• You'll collaborate directly with decision-makers at the world’s leading enterprises to tackle their highest-priority challenges with agentic AI.
• The patterns and problems you encounter in the field will feed directly into the evolution of the platform, tools, and product roadmap.

How will you make an impact?

• Develop agentic systems (agents) for large-scale companies that measurably outperform human operators in areas like retention and churn reduction.
• Build agents that handle nuanced, integrated customer interactions, across a range of CX transforming use cases.
• Design reusable agent frameworks adapted to the specific demands of different industries.
• Drive design partnerships around new product directions, including agent architectures, self-service features, and generative development workflows.
• Push the boundaries with emerging voice models and pioneer their integration into enterprise-grade deployments.
• Set the standard for how AI agents are constructed, evaluated, and improved in live production settings.

Have you got what it takes?

Education & Background

• Hands-on experience building and operating end-to-end production systems at scale.
• With a natural builder's mentality with high personal agency, you default to finding solutions and shipping them.
• Startup founder or early engineer experience is highly valued, you understand the tradeoffs between speed, quality, and ownership.

AI & Technology Expertise

• Proven technical problem-solving ability, particularly in rapidly shifting, loosely defined environments.
• Experience developing or operating AI/LLM-powered systems in production is a major plus.
• Working knowledge of the current AI agent toolkit: evaluation frameworks, orchestration tooling, RAG pipelines, and prompt engineering.
• Familiarity with React, TypeScript, and/or Go is an advantage.

CX & Industry Knowledge

• At ease working face-to-face with customers to unpack their problems and deliver practical solutions.
• Prior experience in customer-facing or externally-led technical roles is a plus.

Strategic & Communication Skills

• A clear, direct communicator who can be equally persuasive with engineers and executives.
• Comfortable operating in ambiguity and making forward progress without waiting for complete clarity.
• Able to balance competing priorities and drive alignment across technical and business teams.

What's in it for you?

• Build AI agents that run in production at meaningful scale, not slideware or research exercises.
• Work shoulder-to-shoulder with leaders at globally recognized enterprises and high-growth startups.
• Directly influence the direction of NiCE's AI agent platform through the real problems you solve.
• Operate with genuine autonomy and end-to-end ownership across the agent lifecycle.
• Work at the cutting edge of AI agent development with access to the latest models, infrastructure, and research.

Requisition ID: 10742

Reporting into: Vice President, NiCE Agentic AI Transformation

Role Type: Individual Contributor

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

We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data management for training loops. Your expertise will drive the success of data processing and model training within the organization.

Responsibilities:

• Design domain-specific synthetic data generation (SDG) pipelines via self-instruct and constitutional prompting.
• Implement automated quality scoring and de-duplication systems.
• Manage data pipelines that feed directly into SFT and DPO training loops.

Qualifications:

• Proven experience building large-scale data pipelines (Airflow, Spark, Ray).
• Deep knowledge of prompt engineering for data generation.
• Familiarity with dataset distillation and bias mitigation.

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable. 

As an AI Agent Engineer, you'll be at the forefront of deploying AI agents that address real-world challenges. In this role, you will work closely with customers as well as our software and machine learning engineers, ensuring high-impact AI Agent deployments and contributing to the continuous improvement of our core AI platform. You’ll develop intelligent AI agents, integrate them seamlessly with external systems and offer hands-on technical expertise to ensure successful deployments.. This position requires strong engineering skills, adaptability, and customer engagement. If you are self-driven, analytical, and eager to leverage AI in practical applications, this role is for you.

What You'll Do :

• AI Agent Development: Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools.
• System Integration: Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration.
• Performance Optimization: Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments.
• Requirements Gathering: Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions.
• Demos & Iteration: Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives.
• Project Coordination: Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery. Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings.
• Partner Cross-Functionally: Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI.
• Technical Guidance: Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage. Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning.

What We're Looking For:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience: 3+ years of full-time working experience in software development/Consulting, AI/ML engineering, or Forward Deployed Engineering.
• Programming Skills: Proficiency in Python and Golang, with the ability to write clean, efficient code.
• AI/ML Knowledge: Familiarity with AI/ML concepts. Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred.
• AI Agent Frameworks: Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG). Hands-on experience of building such a system is strongly preferred.
• Cloud & DevOps: Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring).
• Integration Expertise: Hands-on experience with integrating systems via APIs, webhooks, and data pipelines.
• Communication: Excellent communication and project management skills.
• Analytical Approach: Ability to use data-driven decision-making, including A/B testing and performance monitoring, to refine solutions.
• Collaborative Builder: You thrive in cross-functional environments, working hand-in-hand with PMs and engineers to turn real customer problems into scalable AI solutions.

Perks & Benefits:

We offer a comprehensive and people-first benefits package to support you at work and in life:

• We offer Cresta employees a variety of medical benefits designed to fit your stage of life
• Flexible vacation time to promote a healthy work-life blend
• Paid parental leave to support you and your family

Compensation at Cresta 

Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

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.