Mid-Level AI Models Engineer

Join Our MissionAt Heidi, we believe healthcare deserves a harmonious approach that prioritizes continuous and compassionate care. Our innovative AI Care Partner collaborates with clinicians to enhance patient care.As a diverse team of healthcare professionals, engineers, designers, researchers, and creatives, we are dedicated to developing tools that allow …

Who We AreAt Heidi, we believe that healthcare deserves a harmonious approach—one that fosters continuous and deeply human care. We are pioneering an AI Care Partner that collaborates with clinicians to achieve this vision.Our diverse team, consisting of doctors, engineers, designers, researchers, and creatives, is dedicated to creating tools that allow clinicians to concentrate on what truly matters: their patients.In just 18 months, Heidi has reclaimed over 18 million hours for healthcare professionals, facilitating 73 million patient visits across 116 countries. Currently, Heidi powers more than two million patient visits weekly on a global scale.With nearly $100 million in funding, we are expanding into the US, UK, Canada, and Europe, collaborating with leading health systems like the NHS, Beth Israel Lahey Health, and Monash Health.The RoleAs a Senior AI Model Engineer on the Model Platform team, you will work closely with our Engineering Manager. You will serve as a technical leader, addressing critical challenges related to our models.Your mission is to propel significant advancements in our model capabilities, spearheading research and development in areas such as advanced fine-tuning (RLFT), alignment, and reasoning. You will leverage your in-depth machine learning intuition and research experience to push the boundaries of our models' potential.What You’ll Do:Lead Model R&D Initiatives: Oversee major research and development projects aimed at achieving transformative improvements in model performance, from ideation through to production.Solve Complex Problems: Address the most challenging and ambiguous technical issues related to model behavior, alignment, and safety.Develop Cutting-Edge Fine-Tuned LLMs: Utilize the latest tools and frameworks to construct advanced fine-tuned Large Language Models within Heidi.Collaborate Across Teams: Work with product, medical knowledge, and design teams to streamline prompt engineering and establish agentic AI and model evaluation frameworks.Innovate New Techniques: Go beyond existing literature to create unique fine-tuning or data generation methods specifically designed for our healthcare domain.Mentor and Inspire: Guide mid-level engineers and contribute to their professional growth.

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 the innovative product team at Squiz, where we are dedicated to developing a cutting-edge cloud-based Digital Experience Platform (DXP). Our platform offers essential capabilities such as Content Management, Optimization tools, and Platform services.We are looking for skilled Mid-Level Fullstack Software Engineers with a backend focus to enhance our product engineering team on a permanent basis. This role offers the opportunity to work with advanced technologies, including AI, while collaborating with talented engineers.Location: We embrace flexibility! This position is open to candidates across the eastern coast of Australia, including Sydney, Melbourne, and Brisbane. Enjoy the benefits of hybrid work, allowing you to choose your preferred working environment.

Join Shield AI, a pioneering deep-tech firm founded in 2015, dedicated to safeguarding service members and civilians through advanced intelligent systems. Our innovative product lines include the V-BAT and X-BAT aircraft, along with Hivemind Enterprise and Hivemind Vision. With a global presence, Shield AI's technology plays a crucial role in operations around the world. Explore more at www.shield.ai and connect with us on LinkedIn, X, Instagram, and YouTube.In the role of Modelling and Simulation Lead within our Hivemind Solutions team, you will spearhead the Modelling and Simulation capabilities for our autonomous mission programs based in Australia. Your primary focus will be to create and enhance simulation and testing environments essential for our autonomy engineers as they develop, test, and showcase autonomous solutions for uncrewed aircraft. You will oversee multidisciplinary engineering teams in the design, implementation, and integration of high-performance, real-time simulation frameworks across distributed systems, containerized environments, and hardware-in-the-loop setups. Your contributions will directly influence critical customer programs, internal research and development, and vital autonomy projects, ensuring our simulation ecosystem remains robust, scalable, and operationally representative.

Join AECOM as a Principal Mechanical BIM Modeller, where you'll leverage your expertise in Building Information Modelling to deliver exceptional design solutions. Collaborate with diverse teams on cutting-edge projects, ensuring high-quality outcomes that meet both client and industry standards.

Join Gridcog as a Product Manager - Modelling where you will have the opportunity to shape the future of our innovative products. In this role, you will lead the development and enhancement of cutting-edge modelling solutions that drive our business forward.As a Product Manager, you will work closely with cross-functional teams, including engineering, design, and marketing, to ensure our products meet customer needs and industry standards. Your expertise will guide the product lifecycle from conception to launch, and you will be instrumental in defining product vision and strategy.

We are seeking a talented and driven Mid-Level Platform Engineer specializing in Observability to join our dynamic team at Kraken123. In this role, you will be responsible for enhancing our platform's capabilities, ensuring robust monitoring and observability across our systems to improve performance, reliability, and scalability. You will collaborate with cross-functional teams to design and implement observability solutions that provide actionable insights into our platform's operations.

About the RoleMaincode is at the forefront of AI innovation, creating foundational models built from the ground up on Australian infrastructure. We specialize in designing architectures, managing our own computing resources, optimizing training processes, and deploying robust systems that power our models.We are proud to have developed Matilda, the first large language model entirely built and trained in Australia. Our new compute cluster is operational, and we're excited to scale the next iteration of Matilda, making it accessible for public use.We invite passionate AI researchers to join us in refining the core architecture, training, and evaluation of the large-scale language models that drive Matilda's capabilities.This position emphasizes substantial contributions over incremental benchmarks. You will collaborate closely with engineers who manage large-scale training systems, focusing on designing models that learn efficiently and perform reliably in real-world applications.Your ResponsibilitiesAs part of our team, you will engage throughout the model development cycle, addressing research questions, conducting training runs, and performing evaluations. Your key tasks will include:Designing and testing architectural modifications and training methodologies for large language models.Executing controlled experiments at scale to isolate causal impacts.Investigating failure modes related to reasoning, generalization, robustness, and representation.Defining objectives, data mixes, and optimization strategies that significantly affect model behavior.Creating and enhancing evaluations that measure capabilities and reliability, beyond mere numerical scores.Analyzing training dynamics through logs, metrics, and model outputs.Partnering with machine learning systems engineers on distributed training and operational tasks.Documenting insights and experimental outcomes in clear internal notes to inform design decisions.You will spend a considerable amount of time developing code, running training sessions, analyzing logs, and evaluating outputs to ensure clarity on what enhances the model's performance and the rationale behind it.QualificationsWe value deep analytical reasoning, disciplined experimentation, and the capability to navigate ambiguity effectively. Ideal candidates will possess:Hands-on experience in developing and executing production-level machine learning or research code.Proficiency in Python, with experience in frameworks such as PyTorch or JAX.A strong foundation in transformer architectures and large-scale language models.Familiarity with distributed computing environments and data processing techniques.Excellent problem-solving skills and the ability to work collaboratively within a team.

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.

Horizon3.ai develops cybersecurity solutions that help organizations identify and remediate exploitable attack paths before threats become incidents. The flagship product, NodeZero™, provides autonomous penetration testing and security assessments designed to run safely in live production environments. NodeZero supports internal, external, cloud, and hybrid cloud networks, serving a client base that includes small schools, government agencies, and Global 100 companies. Typical users range from ITOps and SecOps teams to consulting pentesters, MSSPs, and MSPs. The team at Horizon3.ai includes former U.S. Special Operations cyber operators, engineers, and seasoned cybersecurity professionals. Their work addresses industry challenges such as ineffective security tools, alert fatigue, compliance-driven security, skills gaps, and the expense and delays of outside consulting. The company values respect, collaboration, ownership, and a focus on results. Work environment Horizon3.ai operates as a remote-first organization. All team members are required to maintain a broadband internet connection of at least 25Mbps.

Join our innovative team at Culture Amp as an AI Engineer - Applied AI. In this role, you will leverage your expertise in artificial intelligence to develop cutting-edge solutions that enhance our products and services. You will collaborate with cross-functional teams to implement AI methodologies and drive our mission of building a better world of work.

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.

Axiom is a globally recognized leader in providing high-quality legal talent to top brands. Our lawyers enjoy access to prestigious legal projects while maintaining flexibility over their workload. We prioritize our people, embracing a culture of thoughtfulness, collaboration, and care. At Axiom, we pursue excellence in all our endeavors and hold integrity and our team members as our highest values. We are currently in search of mid-senior legal counsels proficient in commercial and consumer law to join our expanding team.

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.

Join us in our mission to enhance the world of work.Culture Amp stands at the forefront of the employee experience sector, transforming how over 25 million employees across more than 6,500 companies foster a better work environment. We empower organizations of all sizes and industries to elevate employee engagement, streamline performance management, and cultivate high-performing teams. Our innovations are grounded in people science and bolstered by the world's most extensive employee dataset, with renowned companies like Canva, On, Asana, Dolby, McDonald's, and Nasdaq relying on Culture Amp daily.With backing from leading venture capital firms, Culture Amp operates in the US, UK, Germany, and Australia. We have been recognized by Forbes as one of the top private cloud companies and by Fast Company as one of the most innovative companies globally.To learn more, visit cultureamp.com.How You Can Contribute to a Better World of WorkWe are on the lookout for a Senior Engineer to join our AI Research & Experience team. You will play a key role in developing AI Coach, Culture Amp's intelligent AI system that integrates survey insights, performance management, and interpersonal dynamics to provide personalized support to organizations, teams, and individuals at scale.Your work will bridge the gap between applied AI research and product engineering, converting advanced techniques into functional systems that significantly enhance workplace experiences. This role is not confined to a research lab; you will be delivering features that address real customer challenges.Key ResponsibilitiesStay informed about the latest research, literature, and provider offerings.Design, implement, and assess features of our multi-agent platform and systems using modern frameworks (e.g., LangGraph) for stateful, multi-turn coaching conversations.Assist in building and coordinating data pipelines that integrate fragmented workplace data (surveys, goals, performance reviews, feedback, one-on-one notes) to provide cohesive coaching context.Translate user requirements into technical solutions, working backwards from user needs to system design, while creating technical documentation to foster literacy, technical transfer, and engineering best practices.Collaborate closely with product, design, and people science teams to ensure that the developed features meet their intended purpose and align with existing product expectations.

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.

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.

Join our dynamic team at Kraken123 as a Platform Engineer specializing in Product Reliability. In this pivotal role, you will be responsible for ensuring the robustness and resilience of our products across various platforms. Your expertise will contribute to developing and implementing strategies that enhance product performance and reliability.

Role overview KPMG Australia is hiring a Senior Consultant in Financial Modelling and Commercial Advisory for the Melbourne office. This position supports clients as they navigate complex financial matters, offering advice that helps clarify transactions and inform strategy. Key responsibilities Create advanced financial models that address specific client objectives Perform in-depth market analysis to support recommendations Assist clients during major transactions, offering guidance throughout the process Collaborate with colleagues from different specialties to deliver practical, actionable solutions Teamwork and impact This role involves contributing to projects that influence client decisions and support business growth. The work combines technical financial modelling, commercial judgement, and close collaboration to help clients make informed choices in challenging situations.