Research Engineer - Conversational AI at Maincode | Melbourne

Role Overview Shield AI is hiring a Staff Engineer in Manufacturing for the Melbourne office. This role focuses on integrating advanced technology into manufacturing processes to improve efficiency and quality. The position calls for an engineer who brings fresh ideas and a commitment to high standards. What You Will Do Work with teams across disciplines to design and implement manufacturing systems Optimize existing processes for better performance and reliability Contribute directly to the development of Shield AI’s products and services Who We’re Looking For Experience in manufacturing engineering Interest in applying advanced engineering solutions to real-world challenges Ability to collaborate with cross-functional teams This role offers the chance to influence how technology shapes manufacturing at Shield AI, with a focus on quality and performance.

Established in 2015, Shield AI is a pioneering venture-backed deep-tech company dedicated to safeguarding both service members and civilians through cutting-edge intelligent systems. Our innovative products, including the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines, play a crucial role in enhancing operational safety and efficiency globally. With a presence across the U.S., Europe, the Middle East, and the Asia-Pacific, our technology actively supports operations in diverse environments. For further details, please visit www.shield.ai. Connect with us on LinkedIn, X, Instagram, and YouTube. Job Overview:Join our dynamic Australian Engineering Team as a Staff Systems Engineer, where you will play a pivotal role in designing integrated solutions utilizing the Hivemind Vision and Mission Autonomy technology stacks.Your Responsibilities Include:- Collaborating with programmatic leadership to assess System Engineering effort requirements.- Working alongside System Design Teams (including Human Factors, UX, and Architecture) to translate solution designs into actionable specifications.- Partnering with System Development & Test teams (Development, Integration, Testing) to establish robust system architectures.

Shield AI develops technology aimed at protecting service members and civilians. Its products include the V-BAT and X-BAT aircraft, as well as Hivemind Enterprise and Hivemind Vision systems. These solutions support operations across the U.S., Europe, the Middle East, and Asia-Pacific. Role overview This contract Staff Talent Sourcer role is part of the People Experience Division in Melbourne. Shield AI is expanding, and this position will help shape the company’s hiring strategy, focusing on both Go-to-Market and Engineering teams. What you will do Design and carry out sourcing strategies for specialized and complex hiring needs Map talent markets and proactively identify qualified candidates Build and maintain a pipeline of talent for current and future positions Develop relationships with potential candidates that go beyond resume searches Create repeatable systems to strengthen engineering recruitment processes Requirements Experience sourcing talent for both technical and go-to-market positions Ability to turn hiring needs into clear, actionable sourcing plans Strength in market research and proactive outreach to candidates Dedication to building long-term connections with candidates This is a contract position based in Melbourne.

Join Our Team as a Senior Staff Mechatronics Engineer!At Shield AI, our mission is to safeguard service members and civilians with cutting-edge intelligent systems. Founded in 2015, we are a venture-backed deep-tech company dedicated to innovation in defense technology. Our product portfolio includes advanced aircraft like the V-BAT and X-BAT, along with the Hivemind Enterprise and Hivemind Vision product lines. With a global presence spanning the U.S., Europe, the Middle East, and the Asia-Pacific, our technology is actively enhancing operations worldwide. Explore more about us at www.shield.ai and connect with us on LinkedIn, X, Instagram, and YouTube.About the Role:We are on the lookout for a seasoned Mechatronics Engineer with 8-10 years of robust experience in product design and development, preferably in the optical or precision instrumentation sector. The successful candidate will demonstrate profound expertise in the integration of mechanical, electronic, and software systems into sophisticated optical products. You will spearhead the design and development of high-performance optical devices, overseeing the entire process from conception to production while ensuring precision, reliability, and manufacturability.

Join Shield AI as an Engineering Lead for Autonomy Software!At Shield AI, we are dedicated to safeguarding service members and civilians through advanced intelligent systems. Founded in 2015, our venture-backed deep-tech company specializes in innovative products such as the V-BAT and X-BAT aircrafts, as well as the Hivemind Enterprise and Vision product lines. With a global presence spanning the U.S., Europe, the Middle East, and Asia-Pacific, our technology is actively deployed in operations around the world. To learn more about our mission and values, visit www.shield.ai and connect with us on LinkedIn, X, Instagram, and YouTube.About the Role:As the Engineering Lead for Autonomy Software, you will spearhead the development of groundbreaking autonomy solutions that empower unmanned systems to navigate and operate intelligently within complex, real-world scenarios. Your leadership will guide multidisciplinary teams through the entire lifecycle of high-performance autonomy solutions—from algorithm conception and software development to system integration and field testing. Working at the exciting intersection of robotics, aerospace, and software engineering, you will be responsible for driving essential capabilities from initial concept to successful flight, delivering resilient and scalable systems that excel in dynamic and contested environments.

About MaincodeMaincode is pioneering the field of artificial intelligence as a dedicated research and engineering firm, proudly hosting Matilda, Australia’s first and only large language model developed from the ground up. Our advanced AI infrastructure is housed in local data centers, where we design, build, and operate systems ranging from server racks to complex model training and serving architectures.We are in the process of creating an AI Model Factory, a revolutionary compute infrastructure that enables cutting-edge AI research and scalable production systems.About the RoleThis position is a unique opportunity to work at the crossroads of physical systems, large-scale computing, and AI research. You will play an integral role in designing and managing the infrastructure necessary for training large-scale AI models, including GPU racks, high-performance networks, and orchestration systems that ensure smooth operation.We welcome individuals with a strong research mindset and systems-oriented thinking. While prior data center experience is not required, a strong sense of curiosity, ability to reason from first principles, and a quick learning aptitude are essential. Candidates with backgrounds in mechatronics, robotics, or aerospace, coupled with robust computational skills, will find this role particularly rewarding. We provide ample time, mentorship, and resources to help you master these systems, allowing you to develop expertise in one of the most critical technical fields of the next decade.What You’ll DoGain expertise in designing, deploying, and operating the core infrastructure for AI.Engage with GPU clusters, high-speed networking, and extensive Linux systems.Contribute to the architecture of Australia’s inaugural production-scale AI data center systems.Collaborate with AI researchers and engineers in shaping the next wave of model training environments.Innovate new operational and architectural strategies based on fundamental principles.You Might Be a Fit IfYou possess hands-on experience with computational systems, including systems programming, Linux environments, GPU or accelerator programming, distributed or HPC environments (e.g., MPI), automation, or large-scale numerical computation.Your background may include adjacent technical or scientific fields such as mechatronics, robotics, aerospace, or physics, where you have honed strong computational and modeling skills.You have a passion for understanding complex systems from foundational principles.You quickly learn and apply new technologies, adapting to the evolving landscape of AI infrastructure.

About UsAt Heidi, we believe healthcare deserves a more harmonious approach that emphasizes continuous and human-centric care. Our innovative AI Care Partner is designed to work in tandem with clinicians, making this vision a reality.Our diverse team consists of doctors, engineers, designers, researchers, and creative minds, all dedicated to developing tools that enable clinicians to concentrate on what truly matters: their patients.In just 18 months, we have successfully contributed over 18 million hours back to healthcare professionals, facilitating 73 million patient visits across 116 countries. Presently, Heidi supports more than two million patient visits globally each week.With nearly $100 million in funding, we are expanding our reach in the US, UK, Canada, and Europe, collaborating with prominent health systems including the NHS, Beth Israel Lahey Health, and Monash Health.Your RoleAs a Senior AI Engineer, you will collaborate closely with the Engineering Manager to design and scale the backend services that drive our AI-powered products.Key ResponsibilitiesDesign and develop backend services to support LLM-based agents and clinical automation.Create secure and scalable APIs & data models that can be easily extended by other teams.Enhance performance and cost-efficiency through profiling, database tuning, and optimizing cloud resources.Automate quality assurance by writing unit and integration tests, crafting alerts, and maintaining on-call runbooks to ensure clinicians can rely on every interaction.Collaborate with product, design, and engineering teams to deliver new features from concept to production in a matter of weeks.QualificationsStrong foundation in software engineering principles; proficiency in Python is essential, but versatility across technologies is valued.Extensive database knowledge, including schema design, query optimization, and scaling for both relational and NoSQL databases.Proficiency in cloud technologies (GCP or AWS), including containers, CI/CD, infrastructure as code, security, and observability.Experience building scalable systems that handle large volumes of data and high-traffic environments.

The AI Forward Deployed Engineering (AI FDE) team at Databricks is a premier, customer-centric group dedicated to delivering exceptional AI solutions. We engage in professional services to assist our clients in developing and implementing pioneering AI applications. Our collaborative efforts span across engineering, product development, and developer relations, ensuring that we align our strategic initiatives with the needs of our customers. We view our team as a collective of unique talents, and we seek individuals who thrive in customer interactions and are passionate about the latest advancements in Generative AI, LLMOps, and machine learning. This role is open to remote candidates.

Join Our Team as an AI Software EngineerAt Maincode, we are pioneering the development of Matilda, Australia’s first large language model built and trained from the ground up. With our new compute cluster operational, we are excited to scale the next iteration of this innovative project.In this role, you will be an integral part of the training infrastructure. Your responsibilities will include constructing the pipelines and tools that enhance the efficiency of Matilda’s training, ensure stability during prolonged runs, and expedite the execution of new experiments. Given that training durations can extend from days to weeks, your work will require meticulous attention to detail.At Maincode, we believe in building AI systems from the ground up: from designing architectures to managing the infrastructure, shaping the training process, and operating the models ourselves. Matilda is not just a research prototype; it’s a fully operational system, developed at scale for open public use.We proudly operate one of Australia’s largest private AI compute environments, dedicated exclusively to training our models. This position does not involve wrapping external APIs or shipping user-facing features; instead, you will focus on the underlying systems that drive the training of a large language model from scratch.

Join Our Team as a Senior Staff Facilities Security OfficerAt Shield AI, we are on a mission to protect service members and civilians globally through our innovative technology. Founded in 2015, we have established ourselves as a leading venture-backed deep-tech company specializing in advanced defense solutions. Our product lineup includes the V-BAT and X-BAT aircraft, Hivemind Enterprise, and Hivemind Vision, all designed to enhance safety and operational efficiency.We are currently looking for a dedicated and proactive Security Officer to bolster our operations in Melbourne, focusing on cutting-edge mission autonomy and aircraft payload technologies. This pivotal role is essential for safeguarding our personnel, facilities, and sensitive information while fostering an atmosphere of rapid innovation in a high-growth environment.You will collaborate closely with our engineering and operational teams, ensuring compliance with DISP obligations and developing scalable, practical security processes that align with our organizational goals.

Join Us at AirwallexAt Airwallex, we are revolutionizing the global financial landscape with our innovative payment solutions. Our integrated platform empowers over 200,000 businesses, including industry leaders like Brex, Rippling, Navan, Qantas, and SHEIN, to manage their finances effortlessly on a global scale.Founded in the vibrant city of Melbourne, our diverse team of over 2,000 talented professionals spans across 26 offices worldwide. With a valuation of US$8 billion and backing from prominent investors such as T. Rowe Price, Visa, Mastercard, and Sequoia, we are at the forefront of creating the future of global banking. If you are eager to tackle ambitious challenges and make a substantial impact in the tech industry, we invite you to be part of our journey.What We Look ForWe seek dynamic individuals who possess the energy of a founder and are driven to create meaningful change. You should have solid expertise in your field, coupled with a strong alignment with our mission and operating principles. You thrive in fast-paced environments, are curious, and make informed decisions based on fundamental principles, balancing speed with thoroughness.We value collaboration and humility; your ability to transform innovative concepts into tangible products is crucial. Leverage AI to enhance productivity and expedite problem-solving. Here, you will face complex challenges alongside exceptional colleagues while advancing your career as we shape the future of global finance.Your RoleAs a Senior Software Engineer focusing on internal AI tools, you will play a vital role in safeguarding over $150 billion in payments for more than 150,000 companies and thousands of employees.You will collaborate with various internal teams to identify impactful projects, such as developing automation tools, managing terabyte-scale log pipelines, and utilizing AI to optimize operational efficiency. We encourage exploration of diverse technologies and solutions, allowing you to mentor junior engineers and contribute to the growth of our prestigious engineering team.

Join Canva's cutting-edge AI team as a Senior Software Engineer specializing in Java. In this role, you will be instrumental in developing innovative software solutions that enhance our platform's capabilities. Working collaboratively with a talented team of engineers, you will contribute to exciting projects that leverage the power of AI to transform design processes. If you're passionate about technology and eager to make a significant impact, this opportunity is for you!

Role overview Maincode is seeking a Distribution Engineer for Matilda in Melbourne. This position centers on designing and managing AI-driven systems to support how Matilda connects with its users. The focus is on building distribution strategies that enable growth, with a strong emphasis on automation and scalability. The team at Maincode works across research, engineering, and operations to develop solutions that move beyond manual processes. The aim is to create systems that operate independently and efficiently, allowing one person to accomplish what previously required a full team. What you will build AI agent pipelines to generate, test, and optimize ads, content, and messaging at scale Growth strategies for paid, organic, and owned channels Experimentation frameworks to improve performance across the user funnel Real-time feedback loops that connect to data sources and APIs for informed decision-making A self-improving, autonomous distribution engine

About the RoleMaincode is at the forefront of artificial intelligence, developing the next iteration of Matilda, Australia's pioneering large language model. As we scale this innovative model, we aim to deploy it as a robust live production system.Our approach is rooted in first principles, where we meticulously design architectures, manage infrastructure, guide the training process, and operate the systems that support our models.Matilda is not a mere research prototype; it is a production-ready system intended for open public access. This role is pivotal in shaping the user experience of Matilda, making it not just functional but also intuitive and engaging.As a Product Engineer, you will be instrumental in crafting the user-facing experience of Matilda. Your contributions will extend beyond implementation to encompass how users interact with and perceive the product.This is a collaborative role where you will work closely with UX designers and directly implement your ideas in code, shaping the nuances of user interaction.Key ResponsibilitiesYour contributions will enhance both the public interface of Matilda and its internal tools, including:Designing the core web interface for user interaction with Matilda (chat, sessions, history, settings).Implementing responsive, reliable streaming UX for real-time model outputs (including tokens, partial responses, cancellations, and retries).Contributing to interaction design for both standard and edge-case scenarios (latency, uncertainty, refusals, and errors).Designing UI workflows that promote safe and responsible usage (feedback mechanisms, content management).Iterating on layout, typography, spacing, and interaction details directly through code.Enhancing perceived performance and responsiveness through thoughtful UI design decisions.Developing internal tools and dashboards with an emphasis on usability and clarity.Collaborating closely with backend and infrastructure engineers to integrate APIs, authentication, and system constraints.Your role will balance coding with strategic thinking about user flows, edge cases, and overall product behavior.Ideal Candidate ProfileWe seek engineers at the start of their careers who deeply value user experience, focusing on the feel of the product as much as its functionality. If you have a passion for building engaging interfaces and are eager to learn and grow within a dynamic team, we encourage you to apply.

About UsAt Heidi Health, we believe that healthcare deserves a more harmonious approach—one that fosters continuous, human-centered care. Our innovative AI Care Partner is designed to collaborate seamlessly with clinicians, enhancing the quality of care delivered to patients.Our diverse team comprises doctors, engineers, designers, researchers, and creatives, all dedicated to developing solutions that empower clinicians to prioritize their patients effectively.In just a year and a half, Heidi has reclaimed over 18 million hours for healthcare professionals globally, supporting 73 million patient visits across 116 countries. Currently, we power more than two million patient visits weekly worldwide.With nearly $100 million in funding, we are expanding our footprint in the US, UK, Canada, and Europe, partnering with leading health systems such as NHS, Beth Israel Lahey Health, and Monash Health.

About UsAt Heidi Health, we strive for a more harmonious approach to healthcare—one that prioritizes continuous and deeply human care. Our mission is to create an AI Care Partner that collaborates with clinicians, enabling them to deliver exceptional patient care.Our diverse team comprises doctors, engineers, designers, researchers, and creatives dedicated to developing tools that allow clinicians to focus on their most important task: their patients.In just 18 months, we have already contributed over 18 million hours back to healthcare professionals, facilitating 73 million patient visits across 116 countries. Each week, our platform powers over two million patient interactions globally.With nearly $100 million in funding, we are expanding into the US, UK, Canada, and Europe, collaborating with top health systems including the NHS, Beth Israel Lahey Health, and Monash Health.Your RoleWe are seeking a Senior Full Stack Engineer with a strong emphasis on frontend development to help us create outstanding user experiences within our AI-driven healthcare products.You should feel at ease working throughout the entire stack, but with a passion for designing elegant, user-friendly, and high-performance interfaces. You will blend technical expertise with a product-focused mindset—considering not just how features are implemented, but also their significance and the best ways to serve our users.Your Responsibilities:Spearhead the design and development of user-focused features that enhance the efficiency and effectiveness of healthcare professionals.Transform intricate workflows and AI functionalities into user interfaces that are straightforward, clear, and engaging.Collaborate closely with designers and product managers to refine ideas, integrating feedback from actual usage.Contribute to all layers of the stack—from frontend UI components to backend services—ensuring a seamless, reliable product experience.Promote best practices in accessibility, performance, responsive design, and maintainable coding standards.Mentor fellow engineers, elevating the quality of our frontend development across the team.Work with AI specialists to incorporate advanced models in a manner that feels integrated and intuitive for end users.

About Future Secure AI Future Secure AI develops artificial intelligence solutions for global enterprises across multiple sectors. The team values bravery, diligence, and curiosity, encouraging open communication and professional growth. Leadership maintains an approachable, entrepreneurial style with a strong commitment to supporting each employee’s development. Company Background Future Secure AI (FSAI) operates in partnership with one of the world’s largest financial institutions. The company builds relationships with C-suite leaders at major organizations, focusing on collaboration between humans and AI to drive business outcomes. With a presence in several industries and regions, FSAI continues to expand globally. Role Overview: Senior AI Engineer (Software) – Melbourne Senior AI Engineers (Software) at FSAI play a central role in developing the company’s products and platforms. The position involves leading customer-facing projects, working directly with client and partner technical teams, and collaborating with internal groups to enhance technology solutions. This role requires balancing detailed coding work with broader business and product considerations. Strong organizational skills, a collaborative approach, and a genuine interest in advancing AI technology are important for success in this position.

About UsAt Heidi, we believe that healthcare deserves a new rhythm—one that fosters continuous and compassionate care. Our innovative AI Care Partner is designed to work seamlessly with clinicians, enhancing their ability to provide exceptional patient care.Our dynamic team comprises doctors, engineers, designers, researchers, and creatives committed to developing tools that allow healthcare professionals to focus on what truly matters—their patients.In just 18 months, Heidi has reclaimed over 18 million hours for healthcare providers, facilitating 73 million patient visits across 116 countries. We are proud to support over two million patient visits each week on a global scale.With nearly $100 million in funding, Heidi is expanding in the US, UK, Canada, and Europe, collaborating with leading health systems such as the NHS, Beth Israel Lahey Health, and Monash Health.Your RoleAs a Senior AI Engineer on our Orchestration team, you will spearhead the design and implementation of a clinician-grade retrieval and question-answering framework. This will encompass data ingestion, indexing, ranking, grounding, and secure deployment.You will establish the technical vision, define quality standards, and guide collaborative efforts among engineering, product, and clinical teams.Transitioning between research and production, you will transform prototypes into dependable services with defined SLAs, traceable outputs, and relevant metrics that are crucial in clinical settings.Key Responsibilities:Architect end-to-end systems for literature and guideline ingestion, normalization, metadata extraction, de-duplication, and versioning.Develop hybrid search and retrieval solutions: combining lexical, vector, and re-ranking methodologies while adhering to strict latency and cost constraints.Create grounding and answer synthesis mechanisms that accurately cite sources, maintain provenance, and quantify confidence levels.Lead model enhancements through prompting, fine-tuning, distillation, and integration of tools to boost reliability, coverage, and utility.Establish gold-standard evaluation metrics: including offline information retrieval metrics, factuality audits, and human review processes.Conduct online experiments to continuously refine and validate model performance.

About UsAt Heidi Health, we believe that healthcare deserves a more harmonious approach—one that fosters continuity and compassion in care. We are developing an AI Care Partner designed to assist clinicians in delivering superior patient care.Our diverse team of medical professionals, engineers, designers, researchers, and innovators is committed to creating solutions that empower clinicians to prioritize their patients' needs.In just a year and a half, Heidi has reclaimed over 18 million hours for healthcare professionals, facilitating 73 million patient interactions in 116 countries. Currently, Heidi supports over two million patient visits weekly around the globe.With nearly $100 million in funding, we are expanding our presence in the US, UK, Canada, and Europe, collaborating with prestigious health systems such as the NHS, Beth Israel Lahey Health, and Monash Health.Your RoleAs a Senior LLMOps Engineer on the Model Platform team, you will work closely with our Engineering Manager to lead the development of a robust infrastructure that supports our model lifecycle. Your primary goal will be to establish a scalable and reliable platform for the deployment and management of our large language models (LLMs). You will spearhead the design and execution of our LLMOps strategy, ensuring seamless transitions for our AI engineers from model development to production.You will leverage your extensive infrastructure expertise alongside MLOps principles to tackle the critical challenges of serving models at scale.Key Responsibilities:Lead LLMOps Platform Development: Architect, design, and implement our comprehensive LLMOps platform, overseeing everything from data ingestion and model training pipelines to production deployment and monitoring.Automate the LLM Lifecycle: Develop and sustain robust CI/CD/CT (Continuous Integration/Continuous Delivery/Continuous Training) pipelines to automate the testing, validation, and deployment of large language models.Ensure Scalable and Reliable Deployment: Create highly available and scalable model serving solutions utilizing modern infrastructure such as Kubernetes, ensuring low latency and high throughput for our production services.Collaborate with AI and Engineering Teams: Work in partnership with AI engineers and other technical teams to enhance our model deployment processes.