Forward Deployed Engineer

Nexxa.ai is at the forefront of developing artificial superintelligence tailored for heavy industries, empowering machines, systems, and operations to think, decide, and act autonomously across manufacturing, large-scale infrastructure, logistics, and legacy environments.Our mission is to transform groundbreaking technical advancements into operational realities, addressing some of the most challenging systems-level issues in the industry.Role OverviewWe are seeking a Senior Forward Deployed Engineer to collaborate directly with our enterprise clients and spearhead the comprehensive delivery of impactful technical solutions. You will immerse yourself within customer teams, translating real-world challenges into production-ready systems that utilize Generative AI, Computer Vision, and Machine Learning.This position combines software engineering, ML engineering, architecture, and consulting. You will design and deploy innovative solutions, integrate models, craft custom workflows, and guide customers toward successful implementation. Note that this role involves frequent travel to customer sites.Key ResponsibilitiesEngage with enterprise and strategic customers to comprehend their workflows, data, and technical requirements.Design, build, and deploy bespoke solutions that leverage GenAI, LLMs, Machine Learning and Vision models, alongside customer data sources.Lead complete project lifecycles, encompassing scoping, solution design, development, implementation, testing, deployment, and iteration.Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation.Develop reliable, scalable software integrations using APIs, cloud services, and containerized systems.Diagnose and troubleshoot intricate technical issues across the stack—applications, models, data pipelines, infrastructure, and integrations.Serve as the customer's trusted technical advisor, facilitating the adoption of new product capabilities and AI features.Collaborate closely with internal product and engineering teams to relay customer feedback and influence the development roadmap.Produce high-quality documentation, architecture diagrams, runbooks, and technical assets for customer teams.Guide and mentor junior engineers.

Join Stratum AI as a Forward Deployed Machine Learning Engineer and be part of our Technical Services team focused on tackling complex real-world challenges.In this role, you will work extensively with custom architectures using PyTorch, applying your expert knowledge of complex Convolutional Neural Networks, Graph Neural Networks, and Transformers.We prefer candidates based in Canada for this remote-first position.Technical Services Team ResponsibilitiesConduct foundational research to design and implement advanced AI resource modeling techniques applicable to various mining operations.Refine existing architectures to train resource models tailored for specific mines.Effectively communicate model quality, metrics, performance, and methodologies to non-ML technical stakeholders.Identify opportunities for enhancing mining operations and garner client support for new modeling parameters.Monitor deployed model performance over time and innovate on ways to improve existing models.Role ResponsibilitiesCustomize Stratum’s deep learning models for specific mining contexts.Develop and sustain high-quality machine learning code using Python.Explore innovative approaches to enhance resource and metallurgical models for specific mines.Allocate 60% of your time to applied ML for individual mines and 40% to foundational ML across multiple mines.Participate in a minimum of 2 mine visits annually to engage directly with clients.Develop into a senior engineer capable of identifying additional applications of our technology with existing clients.Navigate and thrive amidst complex datasets and evolving client needs, turning ambiguity into structured, actionable plans.Role RequirementsMinimum of 2 years of experience in machine learning or related fields.Proficient in Python and PyTorch with a strong foundation in deep learning principles.Experience with Convolutional Neural Networks, Graph Neural Networks, and Transformers is essential.Excellent communication skills, particularly in translating technical concepts to non-technical audiences.Strong analytical and problem-solving abilities, especially in ambiguous situations.

Company OverviewCommerceIQ’s AI-driven digital commerce platform is transforming how brands operate online. Our integrated ecommerce management solutions empower brands to make swift, informed decisions through insights that enhance the digital shelf, maximize retail media ROI, and drive additional sales across leading global marketplaces. With a network of over 900 retailers, our comprehensive platform assists more than 2,200 top brands in optimizing their marketing, supply chain, and sales operations to effectively expand their market presence in over 50 countries. We proudly serve 10 of the top 12 CPG brands, including Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez. Having raised over $200M from prominent investors such as SoftBank, Insight Partners, and Madrona, we are poised for continued growth. Discover more at commerceiq.ai.The Role:As a Forward Deployed Engineer, you will collaborate closely with our founders and AI Product Managers to design and implement AI-based solutions addressing our clients’ critical challenges. This role is pivotal, offering high visibility as you will report directly to our Head of AI Strategy and Outcomes. You will also engage with key members of the executive leadership team based in Mountain View, work alongside our engineering team in Bangalore, and interact daily with enterprise clients. Your contributions will be essential in defining our engagement with key customers, establishing the company's inaugural forward deployed engineering function, and advancing our mission to assist brands in thriving in AI-driven e-commerce.Location / Travel:This position is on-site in Toronto, Ontario, Canada, with approximately 50% travel expected to client locations. Candidates located in the Toronto area will be prioritized.What You'll Do:Build prototypes with customers: Collaborate with our AI Product Manager to identify real-world challenges, rapidly scope use cases, and develop functional prototypes. Engage in hands-on discovery and transform insights into practical demos for potential and existing clients.Integrate data and create new AI agents: Acquire data from various sources (ERPs, ecommerce platforms, custom APIs) and develop agents tailored to the specific use cases identified during discovery. This involves translating unique business rules into runtime-editable settings instead of static logic.

Banyan Software is dedicated to providing a lasting home for thriving enterprise software companies, their workforce, and their clientele. Our mission revolves around acquiring, developing, and expanding top-tier enterprise software businesses globally, specifically those that hold leading positions in niche vertical markets. Recently, Banyan was recognized as the #1 fastest-growing private software company in the United States by the Inc. 5000 list and ranked among the top 10 fastest-growing companies by the Deloitte Technology Fast 500. Established in 2016, we operate with a permanent capital foundation aimed at safeguarding the legacies of our founders, employing a buy-and-hold strategy for nurturing software companies serving specialized vertical markets.OverviewWe are in search of an outstanding full-stack software engineer to join us as a Forward Deployed Engineer (FDE). In this pivotal role, you will serve as the vital link between our central AI Application Modernization Factory and our application teams. The FDE will be temporarily embedded within delivery teams to spearhead the modernization of essential applications, ensuring technical success, promoting the rapid adoption of AI-assisted software development life cycle (SDLC) practices, and facilitating enduring skill development among team members. This high-stakes, hybrid position demands advanced software engineering acumen, in-depth knowledge of cloud-native architectures, and demonstrated proficiency in consultation, change management, and fostering strong relationships within diverse teams.

Banyan Software is dedicated to providing a lasting home for successful enterprise software firms, their staff, and their clientele. Our mission involves acquiring, developing, and enhancing exceptional enterprise software businesses globally, ensuring they maintain dominant positions in niche vertical markets. Recently, Banyan was recognized as the #1 fastest-growing private software company in the U.S. on the Inc. 5000 list and ranked among the top 10 fastest-growing companies by the Deloitte Technology Fast 500. Established in 2016, Banyan operates with a permanent capital base designed to preserve the legacy of its founders, concentrating on a buy-and-hold-for-life strategy for growing software companies that cater to specialized vertical markets.The Role:We are in search of an outstanding full-stack software engineer to take on the role of Lead Forward Deployed Engineer (FDE). In this pivotal position, you will serve as the key liaison between the central AI Application Modernization Factory and our application teams. You will develop and oversee a team of FDEs, creating playbooks and codifying best practices. The FDE will work closely with delivery teams to directly facilitate the modernization of essential applications, ensuring technical success, accelerated integration of AI-assisted SDLC practices, and enduring upskilling of team members. This impactful, hybrid role requires advanced software engineering capabilities, comprehensive knowledge of cloud-native patterns, and demonstrated expertise in consulting, change management, and building strong relationships with diverse teams.

Cresta is dedicated to transforming every customer interaction into a strategic advantage by harnessing the full potential of the contact center. Our innovative platform merges the strengths of artificial intelligence and human insight to empower contact centers in uncovering customer insights, automating interactions and streamlining inefficiencies, ultimately enabling every team member to operate with enhanced efficiency. Founded by visionary leaders from the esteemed Stanford AI Lab, including Sebastian Thrun, a pioneer behind Google X and Waymo, we are driven by a mission to revolutionize the workforce with AI. Join us as we shape the future of work at Cresta.

Join Mistral as a Forward Deployed Machine Learning Engineer in Montreal, where you will play a pivotal role in applying cutting-edge AI technologies to real-world challenges. This position is ideal for innovative engineers passionate about leveraging machine learning to develop impactful solutions.

About SandboxAQSandboxAQ is a rapidly growing company dedicated to providing AI solutions that tackle some of the world's most pressing challenges. Our cutting-edge Large Quantitative Models (LQMs) drive advancements across various sectors, including life sciences, financial services, navigation, and cybersecurity.As a global team of tech enthusiasts, we comprise experts in AI, chemistry, cybersecurity, physics, mathematics, and engineering, among others. Originating from Alphabet Inc., we became an independent entity in 2022, backed by leading investors and a network of industry pioneers.At SandboxAQ, we foster an innovative environment that promotes creativity, collaboration, and meaningful contributions. By investing in our team's development, we are building a vibrant workforce ready to address global challenges. Join us to elevate your career in an inspiring mission with a community that values entrepreneurial spirit, ownership, and transformative impact.The OpportunityAs a Staff Forward Deployed Engineer (FDE) in our AI Simulation group, you will serve as the key technical liaison between our core Large Quantitative Models (LQMs) and our most ambitious client projects. This role is tailored for a resourceful generalist who thrives in an autonomous setting and is eager to tackle challenging issues in drug discovery and chemical simulation. You will work closely with scientific delivery teams, engaging at the intersection of fundamental research and practical application.Your main objective is to ensure the successful technical enablement of our critical partnerships. You will independently identify complex bottlenecks, design custom solutions, and manage scalable computing resources. Whether integrating scientific application logic, handling large data transformations, or working with Agentic systems, you will oversee the complete lifecycle of your deployments. This role requires a startup mindset: the ability to lead a project's technical vision while being willing to perform any necessary tasks to advance our mission.

About the RoleJoin Saris AI, an innovative applied AI startup located in Montreal and San Francisco, dedicated to revolutionizing the banking industry. We are addressing a massive $100 billion annual challenge that is rapidly evolving, and we are pushing the frontiers of what can be achieved with advanced multi-turn AI systems.Our mission is to resolve complex automation issues that necessitate long-context reasoning, seamless tool orchestration across legacy systems, and rigorous compliance processes—problems that lack straightforward solutions.Having successfully deployed real agents to manage genuine customer workflows, we are experiencing rapid growth and are in search of highly technical individuals eager to make a significant impact from the start.As a core member of our Forward Deployed Engineer (FDE) team, you will play a critical role in implementing strategies across various clients while remaining actively engaged in coding.Your Responsibilities Include:Develop tailored AI features, APIs, or integrations to connect product offerings with client systems.Engage directly with clients to grasp their business objectives and technical specifications.Act as a technical advisor throughout the deployment process.Lead the comprehensive development of client-specific solutions, encompassing backend, frontend, infrastructure, and deployment tasks.Rapidly create proof-of-concepts or MVPs to validate ideas with clients.Document implementation specifics and best practices for client projects.Who You Are:Proven experience in software implementation roles such as solutions engineer or solutions architect.Strong ability to establish relationships with customers, ideally within SaaS environments.Full-stack development experience, particularly with our technology stack: NodeJS, TypeScript, Python, AWS.A talent for managing high-impact customer integrations to enhance AI-driven automation processes.Why Work with Us?

Join our dynamic team at Knak as a Forward Deployed Engineer specializing in AI Internal Tools. In this fully remote position, you will play a crucial role in developing and enhancing our internal tools that leverage artificial intelligence to streamline our processes. Collaborate with cross-functional teams to understand their needs and translate them into innovative solutions.

Join cohere as a Forward Deployed Engineer for the Agentic Platform, where you will play a crucial role in enhancing solutions tailored for the public sector. You will collaborate closely with clients to implement advanced technologies that meet their unique needs. Your expertise will be instrumental in deploying cutting-edge software solutions, ensuring they align with governmental requirements and standards.

About the RoleThe Forward Deployed Engineer is crucial in deploying, customizing, and enhancing Hopper’s HTS Assist, our AI-driven voice and chat assistant tailored for the travel sector. This position guarantees that HTS Assist provides smooth automated service experiences to our partners.In this role, you will merge technical engineering expertise with customer collaboration. You will work directly with partners to design, implement, and refine AI-powered service automation. This includes API integration across telephony systems, CRM, travel supply frameworks, as well as designing, testing, and optimizing LLM prompts while delivering data-driven insights to enhance performance and reliability.Your contributions will facilitate the expansion of Hopper’s autonomous service technology within the travel industry. This role is instrumental in furthering Hopper’s commitment to scaling the HTS Assist ecosystem, ensuring that AI automation is reliable, responsible, and partner-focused at all stages of deployment.

Wisedocs is an innovative and rapidly expanding AI platform that revolutionizes the way insurance companies evaluate claims. With approximately $20 million USD in funding, over 100 team members worldwide, and more than 90 clients across North America and Australia, we are experiencing remarkable growth, doubling our revenue year after year.Founded by industry experts who have firsthand experience with the claims process, Wisedocs merges extensive domain expertise with cutting-edge AI, trained on over 100 million documents. Our platform simplifies complex medical records into clear, structured insights, supported by expert human oversight.Join our mission-driven team dedicated to developing intelligent products that simplify complexity, expedite decision-making, and create a significant impact when it matters most.Role OverviewWe are on the lookout for a Senior Machine Learning Engineer to spearhead the scaling and innovation of machine learning initiatives across the organization. In this pivotal role, you will enhance our inference and training pipelines to accommodate a higher volume of customers while refining extraction and summarization techniques across various modalities. You will foster a customer-centric approach and collaborate with fellow senior engineers to seamlessly integrate the ML system into the broader Wisedocs platform.Our Current ML EcosystemWe have three primary types of ML systems operational in production: an entity classification system, a custom reports generator, and a series of summarization models. Our entity classification has been functioning for four years and currently processes data asynchronously using a combination of models. Discover more about our initiatives at our tech blog.Recent Projects by Our ML Team:Reconstructing our inference pipeline to achieve 100x scalingDeveloping consistent parsing methods for 50,000-page PDFsDeploying our pipeline within an isolated government client environmentYour ResponsibilitiesDesigning and implementing machine learning models to analyze and interpret large sets of medical and insurance documentsCreating robust, scalable APIs using PythonCollaborating with technical stakeholders and leaders to contribute to system design and implementationEnsuring the reliability and scalability of ML systems while enforcing best practices in data engineering and model lifecycle managementWorking closely with our expert-in-the-loop teams to develop industry-leading evaluationsAdditional responsibilities will evolve as projects progress and change

About the Role c-serv is building a dedicated AI Red Team to strengthen the security of enterprise AI products. The Adversarial Machine Learning Engineer will play a central part in uncovering vulnerabilities in LLM-based systems and testing their defenses before they reach enterprise clients. This is a hands-on position focused on practical security challenges in real-world AI deployments. Main Responsibilities Carry out adversarial assessments targeting LLMs and other AI systems Simulate real-world attacks, such as: Prompt injection Jailbreaking and bypassing model guardrails Data exfiltration Model inversion and evasion Manipulation of retrieval-augmented generation (RAG) pipelines Develop scripts and tools to automate attack scenarios Evaluate model behavior and performance under adversarial conditions Pinpoint weaknesses in technical components, including: APIs Embedding pipelines Vector databases Fine-tuned model deployments Work closely with engineering teams to confirm fixes and improvements Document findings clearly and thoroughly Location This role is based in Calgary, Alberta, Canada. Impact The work done in this role will directly support the reliability and security of AI systems before they are deployed at scale for enterprise use.

“Transform every logistics journey into a remarkable experience”Company Overview:Established in 2014, Quincus is a pioneering B2B SaaS platform specializing in supply chain operations, with its headquarters in Singapore. Our mission is to tackle the pressing challenges of global supply chains through innovative technology. By leveraging AI and machine learning, we have revolutionized the logistics landscape, providing our clients with unparalleled transparency and efficiency in their supply chain operations.Founded by two visionary entrepreneurs with over a decade of tech experience, Quincus is led by Chief Product Officer Katherina-Olivia Lacey, who champions a tech revolution while promoting women's empowerment within the supply chain sector. CEO Jonathan E. Savoir, recognized in Forbes' 30 Under 30 Asia List in 2020, also contributes to several startup boards, driving innovation forward.Role Overview:Quincus Research is at the forefront of developing the next generation of intelligent systems for our suite of products. We are seeking a highly motivated and skilled Machine Learning Engineer to join our dynamic team. You will play a pivotal role in designing and deploying deep learning and reinforcement learning algorithms at scale. Your expertise will be essential in creating scalable systems for model serving, optimizing inference performance, and managing production workflows.Key Responsibilities:- Design and implement scalable systems for deploying deep learning and reinforcement learning models.- Optimize the inference performance of models through advanced techniques like quantization, pruning, and distillation.- Leverage GPU computing to enhance model training and inference efficiency.- Develop and manage production workflows for the training and deployment of machine learning models.- Collaborate cross-functionally with data scientists and software engineers to create effective machine learning systems.- Monitor and enhance the performance of machine learning models in production.- Stay abreast of the latest advancements in deep learning and reinforcement learning methodologies.

Join Our Innovative TeamSanctuary AI is at the forefront of developing dexterity-driven Physical AI for versatile robots. We are on the lookout for talented Machine Learning Engineers to become part of our dynamic team of engineers, researchers, and scientists. Together, we are committed to overcoming significant challenges in robotic perception, dexterous manipulation, planning, and reasoning.In this role, you will concentrate on creating robust systems to train and implement machine learning policies in robotic platforms. You will collaborate closely with researchers to introduce and execute cutting-edge ML techniques in production environments. Utilizing our state-of-the-art in-house robotic systems, you will design, test, and enhance software that connects advanced methodologies to practical outcomes. This role presents a unique opportunity to contribute to both the engineering foundations and the applied ML capabilities that propel our robots into the future.Note: Your role may require occasional travel (typically one to two weeks at a time, several times a year) to work closely with partners and teams on essential projects.

Join bree as a Machine Learning Engineer, where you will be at the forefront of cutting-edge technology, developing algorithms and models that drive innovation. Collaborate with a dynamic team to enhance machine learning frameworks and contribute to impactful projects that transform data into actionable insights.

Affinity integrates billions of data points from extensive datasets to craft a precise and powerful depiction of the global professional relationship graph. Our users gain essential insights and visibility to cultivate and leverage opportunities within their teams' networks. The position is part of the AI Platform team, responsible for the AI services that drive Affinity's premier relationship intelligence platform. Our work involves extracting and retrieving information from vast amounts of structured and unstructured data to provide actionable insights to our clients. As a Senior Machine Learning Engineer, you'll collaborate closely with data engineers, software engineers, and product managers to shape the future of the leading CRM platform in private capital. Your role will involve designing and building AI systems that efficiently uncover insights from dynamic business interaction data—an exciting and unique opportunity within the sector. This position focuses on applied machine learning with a significant emphasis on engineering rather than research. You will be instrumental in enhancing our ML Engineering capabilities, specifically in information retrieval and ultimately in recommendation systems. Key Responsibilities: Own the full ML lifecycle: Guide projects from ideation to production, encompassing feature engineering, model selection, deployment, and model observability and evaluation. Translate business needs into ML solutions: Gather product requirements and convert them into robust ML system design specifications. Build recommendation and ranking systems: Architect and implement ranking and recommendation infrastructure from the ground up, initially leveraging integrated off-the-shelf models and evolving to tailored solutions over time. Solve complex problems: Tackle diverse challenges in information extraction, storage, and retrieval for both structured and unstructured data. Collaborate cross-functionally: Work alongside cross-functional teams (product, infrastructure, data engineering, and software engineering) to develop robust, high-scale systems that underpin our data processing and ML operations.

About Datatonic Datatonic stands as Google Cloud's top partner in AI, specializing in machine learning, data engineering, and analytics. The team helps clients across industries use advanced technology on Google Cloud Platform to modernize operations and uncover valuable insights. Role Overview The Senior Machine Learning Engineer position is a hands-on technical role based in Canada. This engineer writes production-quality Python code and prototypes solutions to complex problems. The role involves leading projects, collaborating closely with clients, and delivering reliable machine learning systems that address real business needs. What You Will Do Develop and maintain machine learning models using Python Apply strong engineering practices to both production systems and prototypes Lead project delivery and help scope new engagements Work directly with clients to understand challenges and deliver tailored solutions Build and maintain trusted client relationships What We Look For Solid foundation in machine learning and data science Experience selecting tools and methods for different ML applications Proficiency in optimizing and deploying ML models Strong communication and consulting skills Ability to deliver innovative AI and Cloud solutions for clients