• Design scalable backend architecture and microservices • Develop secure RESTful and GraphQL APIs • Build API gateways and middleware for integrations • Monitor application performance and optimize backend services • Collaborate with mobile developers and QA teams

Role Description Symmetrio is recruiting for our client, an innovative healthcare technology organization dedicated to improving patient outcomes through advanced clinical data and technology solutions. We are seeking an experienced Integration Engineer Lead to oversee the design, development, and support of complex healthcare data integrations while providing technical leadership to a team of integration professionals. This is a highly visible role that combines hands-on engineering responsibilities with team leadership, driving interoperability initiatives across healthcare systems and ensuring reliable, secure, and scalable data exchange. The ideal candidate will have deep expertise in healthcare integration technologies, interoperability standards, and interface engine development, along with a passion for mentoring teams and improving operational excellence. - Lead the analysis, design, development, deployment, and support of healthcare data integrations with EMRs and third-party systems - Serve as the technical lead and escalation point for interface architecture, production issues, and integration strategy - Design, build, and maintain integration workflows using healthcare interoperability standards and integration platforms - Develop and support data exchange solutions utilizing HL7, FHIR, RESTful APIs, JSON, XML, and related technologies - Translate business and clinical requirements into scalable, reliable integration solutions - Perform ETL activities, data transformations, and complex healthcare data mappings - Troubleshoot and resolve interface issues to maintain system performance, stability, and data integrity - Monitor integration environments and proactively identify opportunities for optimization and improvement - Ensure compliance with healthcare security, privacy, and regulatory requirements - Collaborate with Product, Development, QA, DevOps, Support, and external partners to deliver integration initiatives - Provide technical mentorship, code reviews, and guidance to integration engineering team members - Support Agile development practices, project planning, and prioritization efforts - Participate in implementation, testing, validation, deployment, and post-production support activities - Maintain comprehensive technical documentation for integrations, workflows, troubleshooting, and operational processes Qualifications - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field - 5+ years of experience developing and supporting healthcare data integrations or interface solutions - Previous experience leading, mentoring, or providing technical guidance to engineering teams - Strong knowledge of HL7 v2 messaging standards, including ADT, ORM, ORU, and SIU message types - Experience working with FHIR standards and healthcare interoperability frameworks - Hands-on experience with integration engines such as Mirth Connect, Iguana, or similar platforms - Strong proficiency with RESTful APIs and healthcare data exchange methodologies - Experience developing scripts and integrations using JavaScript or similar scripting languages - Working knowledge of Linux/UNIX and Windows environments - Familiarity with EMR systems, healthcare data structures, and clinical workflows - Understanding of HIPAA requirements and healthcare data security best practices - Knowledge of cloud-based integration concepts and modern interoperability architectures - Excellent analytical, troubleshooting, and problem-solving skills - Strong communication and collaboration abilities - Ability to manage multiple priorities and perform effectively in a fast-paced environment Preferred Qualifications - Experience supporting integrations within oncology, laboratory, or other clinical specialties - Experience designing and optimizing large-scale healthcare data workflows - Technical leadership experience managing integration projects from planning through deployment - Experience improving monitoring, scalability, and performance of enterprise integration environments Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k) - Disability Insurance - Paid Time Off (Vacation, Sick & Public Holidays) - Career Growth and Professional Development Opportunities - Collaborative and Mission-Driven Work Environment

• Solution Design & Architecture: Lead and assist with the development and design of end-to-end processes for BC solutions, ensuring alignment with business objectives and technical standards. • Implementation & Deployment: Provide leadership and guidance to a team of functional consultants on the implementation of BC solutions, including configuration, customization, and integration with other enterprise systems. • Technology Integrations: Oversee the integration of BC systems with other enterprise applications. • Project Management: Collaborate with Project Managers to manage project timelines, resources, and budgets, ensuring successful delivery of solutions within scope. • Stakeholder Collaboration: Engage with business leaders, IT teams, and external vendors to ensure solutions meet business needs and technical requirements. • Continuous Improvement: Stay updated on industry trends and emerging technologies to continually enhance solutions.

Role Description This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning (LoRA, full FT, RFT) backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing, and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack. We're looking for a Principal ML Solutions Architect to act as the most senior technical authority for customers leveraging Token Factory's serverless inference and fine-tuning platforms. Your responsibilities will include: - Own the most complex, highest-stakes customer engagements from architecture through production across multiple modalities, driving measurable business value. - Optimize LLM inference at the framework and hardware level and codify the resulting best practices into reusable playbooks for the team. - Lead supervised and reinforcement fine-tuning efforts to maximize model quality. - Design and implement production-ready LLM solutions using Token Factory's inference services. - Provide deep technical expertise in prompt engineering, RAG architectures, model selection, and cost/performance trade-offs at scale. - Partner closely with product, engineering, and research to surface customer needs, prototype platform features, and directly influence the roadmap. - Guide customers from PoC to production with a focus on performance, reliability, and cost efficiency — and define the standards by which the team does so. - Mentor Senior and mid-level Solutions Architects; raise the technical bar of the team through review, enablement, and knowledge sharing. - Represent Token Factory externally through talks, blog posts, and conferences. Qualifications - 8+ years of experience in ML/AI systems, with at least 4 years focused on LLMs and generative AI. - Demonstrated technical leadership: owning ambiguous, high-impact problems end to end and influencing decisions across teams and customers. - Expert knowledge of the LLM ecosystem: model architectures, fine-tuning approaches, and inference internals. - Deep, hands-on command of inference optimization: quantization, KV-cache management, batching, routing, etc. - Hands-on experience with running LLMs in production at scale: deploying, operating, and debugging inference workloads down to the framework level. - LLM fine-tuning, including SFT/LoRA and data preparation/curation; experience with RL-based fine-tuning. - LLM evaluation: building task-specific benchmarks and offline/online eval pipelines, including LLM-as-a-judge setups. - Inference frameworks and libraries (vLLM, SGLang, TensorRT-LLM), including the ability to read, modify, and contribute to their internals. - Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models. - Strong Python programming skills. - Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences, from engineers to executives. Requirements - Contributions or maintainership in major OSS inference/ML projects (vLLM, SGLang, TensorRT-LLM). - Published research, conference talks, or widely-read technical writing in the LLM/serving space. - Deep work with multimodal AI models (vision-language, speech). - Proficiency with DevOps tooling (Docker, Kubernetes) and infrastructure-as-code. - Experience building or owning internal tooling/automation for ML workflows at scale. Benefits - Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families. - 401(k) Plan: Up to 4% company match with immediate vesting. - Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. - Remote Work Reimbursement: Up to $85/month for mobile and internet. - Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage. - Competitive compensation and benefits packages. - Career growth and learning opportunities. - Flexibility and ownership. - Collaborative and innovative culture. - Opportunity to work on impactful AI projects. - International environment and talented teams.