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• Serve as a strategic advisor, ensuring alignment between client business objectives and the ServiceNow platform.
• Facilitate client workshops to develop roadmaps, enhance processes and champion best practices.
• Partner with technical teams to translate business needs into effective ServiceNow solutions.
• Lead the gathering and documentation of business requirements through structured stakeholder collaboration.
• Oversee and refine user stories following Agile methodologies and ServiceNow development standards.
• Support all stages of Agile delivery, including sprint planning, demonstrations, quality assurance, and retrospectives.
• Coordinate user acceptance testing (UAT), create training documentation and conduct end-user training sessions.
• Drive continuous improvement by contributing to the company’s Centre of Excellence.
• Assist with pre-sales efforts such as proposal development, solution demonstrations and requirements gathering.

• Minimum of 4 years of hands-on ServiceNow experience, with a solid emphasis on ITSM.
• Proven track record of delivering implementations involving at least one additional ServiceNow product suite, such as SPM, ITOM, SAM/HAM, HRSD or CSM.
• Demonstrated expertise in leading client-facing ServiceNow workshops.
• Strong consultative abilities, capable of influencing stakeholders at all levels, from technical teams to executive leadership.
• ServiceNow CSA certification is required; CIS-ITSM certification or higher is a plus.

• Competitive Salary.
• Comprehensive benefits package.
• Remote working options.

• Design and fine-tune both open source and proprietary large language models (LLMs) for tasks including summarization, reasoning, planning and question answering.
• Build and enhance advanced Retrieval Augmented Generation (RAG) pipelines featuring embedding fine-tuning, hybrid search, reranking and knowledge graph integration.
• Develop autonomous AI agent workflows that support proactive and adaptive decision-making.
• Utilize reinforcement learning methods (such as PPO, DPO, GRPO) to continuously improve model performance.
• Create evaluation frameworks and define metrics to rigorously assess model effectiveness.
• Deploy AI models into production environments with a focus on low latency, reliability and scalability.
• Work closely with product and engineering teams to deliver comprehensive AI-powered financial solutions.

• Master’s or Bachelor’s degree with at least 5 years of professional experience in applied AI/ML engineering.
• Demonstrated success in delivering generative AI products utilizing LLMs and autonomous agent workflows.
• Practical expertise with LLM fine-tuning methods (such as LoRA), inference frameworks (including vLLM) and sophisticated RAG pipelines.
• In-depth understanding of reinforcement learning fine-tuning techniques and associated frameworks.
• Early-stage startup experience is an advantage.

• Salary: $190k - $225k DOE.
• Remote working.
• Comprehensive health, dental and vision coverage.
• Retirement benefits.

Our client, an exciting HealthTech company, are hiring a Senior Full Stack Engineer to join the team in New York. The successful candidate will play a key part in designing and building the backend systems that drive their AI-powered patient engagement platform, as well as lead engineering initiatives to create scalable infrastructure and deploy machine learning solutions that deliver real-time impact on patient outcomes.


Responsibilities

• Develop and maintain scalable backend services and APIs that support the AI-driven platform.

• Design and manage infrastructure for deploying and monitoring LLM-based applications.

• Partner with ML engineers to integrate conversational AI and predictive models.

• Lead the architecture of a flexible backend system that grows with data and product demands.

• Establish and manage CI/CD pipelines, automated testing and deployment processes.

• Write secure, efficient and maintainable code in line with engineering best practices.

• Create reusable components and libraries to streamline development workflows.

• Leverage cloud services (GCP, Azure, AWS) to build scalable and cost-effective infrastructure.

• Conduct code reviews and help define engineering standards.

• Identify, troubleshoot, and resolve system performance and reliability issues.

Skillset

• At least 5 years of experience in full stack development, with a minimum of 2 years in a senior engineering role.

• Proven ability to build early-stage products from concept to launch, and scale them successfully.

• Proficient in Node.js, Python, React, Express and relational database technologies.

• Practical experience or strong enthusiasm for integrating LLMs into production environments.

• Expertise in designing scalable and maintainable system architectures.

• Solid understanding of Clean Code principles, test-driven development (TDD), and CI/CD workflows.

• Familiarity with Docker, Kubernetes, and modern DevOps practices.

• Knowledge of AI/ML deployment workflows, A/B testing frameworks, and monitoring tools.

• Demonstrated leadership in driving engineering projects to successful delivery.

• Industry experience in healthcare technology is a bonus.

Benefits

• Salary: $160k - $175k

• Equity.

• Remote and flexible working options.

• Health, dental and retirement package.

• Develop and sustain reliable systems for training, deploying and scaling AI models.
• Build and enhance workflows for data preparation, model training, evaluation and deployment.
• Identify and resolve performance bottlenecks to ensure smooth operation for thousands of users and contributors.
• Automate infrastructure provisioning, deployment and monitoring following DevOps best practices.
• Collaborate closely with researchers and developers, both within the company and across our open-source community.
• Contribute to the development and direction of their open-source platform and foundational AI models.

• Extensive experience in infrastructure engineering, DevOps or cloud-native environments.
• Deep understanding of machine learning principles and practical experience with end-to-end ML workflows.
• Proficient in Python and skilled in best practices for software development.
• Practical knowledge of cloud platforms such as AWS, Google Cloud or Azure.
• Experience with distributed computing and designing scalable systems.
• Enthusiasm for open-source development and active participation in community-driven projects.

• Salary: $100K - $220K DOE.
• Equity.
• Comprehensive health, dental and vision insurance.

• Lead research efforts in LLMs and VLMs, covering model development, evaluation, optimization and benchmarking.
• Shape the strategic direction of open-source AI/ML innovation within the organization’s  platform.
• Publish impactful research in leading academic venues.
• Build and nurture academic partnerships to strengthen the company’s global open research community.
• Mentor and guide team members, encouraging a culture rooted in scientific excellence and open collaboration.

• PhD degree in Computer Science or a related field, with a specialization in AI/ML.
• Proven track record of publications in leading AI/ML conferences and journals.
• Demonstrated leadership in driving research initiatives and managing complex technical projects.
• Expert-level proficiency in machine learning, with hands-on experience in PyTorch, LLMs and VLMs.
• Strong commitment to open source and a passion for building in the open through community collaboration.

• Salary: $160K–$220K DOE.
• Equity.
• Comprehensive health, dental and vision insurance.
• Hybrid working with offices in Seattle, WA and Palo Alto, CA.