Role Description Platform engineers who has deep understanding of and experience in building MCP servers, APIs, OAuth, and Python (and Java too if possible). This group will help build MCP servers (but that is only one part of the job). They will essentially work on: - Modelling Claude for different teams - Contextualizing models - Understanding the requirements of business teams and IT teams - Building agents/platform features for different teams/model configurations - Repurposing for platform/agents build This is a versatile role. Qualifications - Deep understanding of MCP servers - Experience with APIs and OAuth - Proficiency in Python - Familiarity with Java (if possible) Requirements - Ability to model and contextualize AI systems - Strong collaboration skills with business and IT teams - Experience in building platform features Benefits - Inclusive workplace culture - Opportunities for personal and professional growth - Commitment to well-being and individuality

Applied AI Engineer Location: Lincoln United States Job Description: Applied AI Engineer TELCOR Inc, a leading innovator in laboratory software, is looking for an Applied AI Engineer to join our TELCOR AI Systems team! If you are comfortable navigating ambiguity, have a builder mentality and familiarity with healthcare, laboratory or revenue cycle operations - you may be interested in this role! Along with the challenging and rewarding aspects of the position, TELCOR offers a culture where an individual is valued, encouraged to grow, and is a contributor to the future of the Company. TELCOR's headquarters is in Lincoln, NE and we also have an office in San Francisco, CA; this position can also be remote. Copy and paste the following link into your browser to learn more about TELCOR and what it means for TELCOR to be a certified Great Place To Work: https://www.greatplacetowork.com/certified-company/7054288 As an Applied AI Engineer, you'll take end-to-end ownership of high-impact projects by conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the TELCOR customer ecosystem. This role will be embedded with customers and internal teams to help understand real operational pain points, then building and deploying solutions in our AI workflow platform that solve them. Pay Range: $125,000 - $165,000 annually Requirements - Strong programming skills, particularly in Python, with experience building production applications - Familiarity with healthcare, laboratory, or revenue cycle operations - Worked with LIS/LIMS systems, claims processing, or healthcare data standards (HL7, FHIR) preferred - 4+ years in a technical role such as Software Engineer or Solutions Engineer - with experience working on production systems TELCOR is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or any other characteristic protected by law. Qualified applicants will be considered based on their individual merit alone. TELCOR complies with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring, and the California Fair Chance Act by considering qualified applicants with arrest and conviction records in accordance with these regulations. All trademarks, service marks, trade names, trade dress, product names and logos appearing herein are the property of their respective owners. Microsoft is either registered trademark or trademark of Microsoft Corporation in the United States and/or other countries.

Role Description Autodesk is on a mission to transform its offerings by introducing AI Platform. We are seeking a forward-thinking Software Developer to join our dynamic AI Platform engineering team. If you’re driven by passion and innovation, this is your chance to shape the evolution of AI products at Autodesk. As a Principal Software Developer, you will be instrumental in creating state-of-the-art tools and services that revolutionize the customer experience through advanced AI technologies. The ideal candidate is a proactive problem-solver who thrives on tackling green-field projects and brings a deep well of domain expertise. You'll play a crucial role in steering our high-performing team. Join us and drive the next wave of innovation at Autodesk. Responsibilities - Experience Accountability - Contribute to architecture and delivery of the AI Platform experience stack: agentic interfaces, workflow editor, project memory, and dynamic UI surfaces. - Ensure a cohesive, modern, AI-native experience built across cross-product and cross-industry workflows. - Embed traceability, auditability, reversibility, and measurable autonomy into all agentic workflows. - AI-First Development - Be involved in defining AI-first architecture and development practices across the experience layer. - Deliver agentic orchestration, context retention across sessions, and composable capability invocation. - Actively contribute to the trust models (human-in-the-loop, review gates, confidence signaling). - Champion AI-assisted engineering practices to increase velocity, quality, and experimentation speed. - Collaboration with Product & Experience - Partner deeply with Product and Design to define and deliver prioritized critical user journeys. - Partner with Product and Design to continually engage with customers for validation and feedback on software we develop. - Contribute to rapid experimentation loops (hypothesis → instrumentation → learning → iteration). Qualifications - 5-7 years of professional experience in software development - BS or MS in Computer Science or related technical field - Experience designing and developing web/cloud applications - Experience with Continuous Integration, Continuous Delivery, DevOps, etc. - Proven experience delivering modern, cloud-native platform capabilities at scale. - Architectural expertise in distributed systems, APIs, composable services, and modern frontend architectures. - Demonstrated experience building AI/ML-powered user experiences (LLMs, agents, orchestration, RAG systems, or similar). Preferred Qualifications - Experience with User Interface / User Experience Design process - Experience with AI-first or agentic platform initiatives. - Experience building dynamic or generative UI systems. - Familiarity with MCP-style integration models or composable tool architectures. Benefits - Salary transparency: For Canada based roles, starting base salary between $131,000 and $191,400. - Offers based on the candidate’s experience and geographic location, and may exceed this range. - Compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Company Description Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Role Description NVIDIA is building the next generation of AI systems that can perceive, reason about, and generate dynamic worlds. Our team advances world foundation models to enable high-fidelity, temporally stable video and world generation for Physical AI, simulation, and interactive experiences. This role operates at the applied-research boundary: developing and validating model improvements, then hardening them into production-grade checkpoints and recipes that teams can reliably build on. The technical focus is on human appearance, motion and action understanding. Progress is measured through disciplined experimentation, robust diagnostics, and repeatable side-by-side evaluation. Work is delivered in close partnership with data, platform, and product engineering to ensure improvements translate into real performance and quality. - Research, implement, and validate model architecture and algorithm changes that improve video generation fidelity, with emphasis on human-centric quality (identity preservation, anatomy, motion coherence, and interaction realism). - Explore and prototype improvements across spatial multimodal modeling, modality alignment, flow-based or diffusion-based video generation, and neural rendering-inspired representations to improve controllability and long-horizon consistency. - Improve training and inference efficiency through architectural and post-training techniques (compute/memory optimizations, distillation, pruning, and compression). - Define model training objectives that improve sim-to-real and real-to-sim generalization, especially for human motion, contact, and interaction dynamics across real-world and synthetic/simulation data. - Develop detailed, domain-specific benchmarks for evaluating world foundation models, especially generation and understanding world models that reason about video, simulation, and physical environments. - Translate research results into robust implementations like training code, production-grade checkpoints, model integrations, and demos that clearly showcase capability gains across teams. Qualifications - PhD in Computer Science, Graphics, Computer Engineering, or a closely related field (or equivalent experience). - 8+ years of applied research and/or industry experience in vision, graphics, or adjacent ML domains or similar area. - 3+ years of direct experience designing, training, and evaluating generative models for image/video/audio, with strong fundamentals in modern deep learning. - Hands-on experience improving generative models with a focus on perceptual quality and temporal stability, especially for generating humans. - Advanced proficiency in Python, PyTorch, C++, and CUDA with strong research-engineering practices (reproducibility, testing, profiling, experiment tracking). - Experience training and debugging large models in multi-GPU and/or multi-node environments and distributed training workflows. - Practical knowledge of inference/runtime bottlenecks and optimization techniques. - Strong “eye for quality” and interest in diagnosing visual artifacts (sharpness, texture detail, temporal stability, etc.) using perceptual metrics, human preference signals, or learned evaluators. Requirements - Proven track record in related research, including publications in top conferences (e.g., NeurIPS, CVPR, ICLR), with clear evidence of impact on model quality or robustness. - Experience using agentic workflows, and AI coding companions, to accelerate research and production development, including code generation, debugging, test creation, experiment automation, benchmark development, documentation, and large-codebase navigation. Benefits - Highly competitive salaries. - Comprehensive benefits package. - Equity eligibility.