Senior Software Engineer, Agent
Design and evolve the agent runtime that manages reasoning, tool use, memory retrieval, and response generation. Build agent capabilities such as image generation, voice synthesis, video creation, web browsing, and code execution. Optimize large language model (LLM) integration through prompt engineering, context window management, multi-provider model routing, cost optimization, and latency reduction. Implement memory systems including long-term memory, working memory, episodic recall, and semantic search to enable agents to learn from interactions. Design autonomous behaviors including proactive actions, scheduled tasks, and goal-directed actions to make agents feel self-directed. Build evaluation and quality systems such as benchmarks, A/B testing, and metrics to assess agent behavior, personality consistency, and response quality. Experiment with new architectures like multi-agent collaboration, planning, and chain-of-thought reasoning. Collaborate with product and design teams to translate AI capabilities into intuitive user experiences.
Agent Deployment Architect (Charlotte, NC)
The Deployment Architect will work as part of an embedded team on site with clients to transform health systems by understanding customer workflows, analyzing and documenting operational workflows, translating these into integration specifications and AI conversation designs. They will define, document, and drive the technical architecture to connect Hippocratic AI solutions with client EHR systems, CRMs, population health tools, and other platforms. The architect will design, customize, and deploy scalable AI agents according to customer needs, lead the technical post-sale implementation process as the primary technical contact, collaborate cross-functionally with engineering, product, machine learning, clinical, and sales teams to develop solutions, and develop reusable tooling, playbooks, and frameworks for improved implementation scalability and efficiency. The role requires physical presence at client sites weekly and may include travel to HippocraticAI offices for strategic planning and team sessions.
Senior ML Operations (MLOps) Engineer
As a Senior ML Operations Engineer at Eight Sleep, you will pioneer cutting-edge ML technologies and integrate them into products and processes for health monitoring. You will own the design and operation of robust ML infrastructure by building scalable data, model, and deployment pipelines to ensure reliable model delivery to production. Your role involves partnering cross-functionally with R&D, firmware, data, and backend teams to ensure ML inference operates reliably and scales across Pods globally. You will optimize ML systems for cost-effectiveness, scalability, and high performance by managing compute, storage, and deployment resources during training and inference. Additionally, you will develop tooling, microservices, and frameworks to streamline data processing, experimentation, and deployment, and maintain clear and direct communication within a remote work environment.
Design Director
As an Automotive and Robotics SoC Architect, you will define scalable, top-down system architectures that unify CPU and AI technologies for next-generation automotive applications. This role involves shaping the architectural direction of the automotive and robotics portfolio to ensure products meet the industry's high standards for performance, safety, reliability, and security. The position requires strong technical leadership, systems thinking, and cross-functional collaboration to deliver world-class automotive solutions.
Backend Software Engineer - Engine Team (Voice Agent)
The Backend Software Engineer on the Engine Team (Voice Agent) at Deepgram will lead the design and implementation of the Voice Agent product, including designing and implementing secure, robust, and scalable services for speech processing. Responsibilities include building integrations to support telephony providers, RAG systems, and diverse deployment scenarios; engineering services for testability and observability within a complex chain of AI models; improving core inference services in networking, speech processing, model orchestration, and observability; developing integrations with in-house, third-party, and open-source AI models for perception and conversational dynamics; debugging complex system issues involving networking, scheduling, and highly concurrent workloads; rapidly customizing backend services to support customer needs; and partnering with Product to design and implement new services, features, and products end to end.
Interior Designer - Workplace Design
Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from corporate accounting fields that align with your expertise, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses. Regularly interpret, analyze, and execute tasks based on given instructions.
Service Technician Associate I - Pittsburgh, PA (Contract)
Develop tools for validation and regression testing of image sensors, image processing pipelines, and hardware and software integration. Perform lab and real-world camera data collection and data analysis. Participate in tuning of sensor parameters and image processing pipelines to optimize image quality. Troubleshoot camera and image quality issues observed on autonomous vehicles. Design new hardware and the necessary software for sensor range. Work with perception software team to assess end to end camera performance.
Freelance Automotive Engineering & Python Expert - AI Trainer
Design graduate- and industry-level automotive engineering problems grounded in real practice; evaluate AI-generated solutions for correctness, assumptions, and engineering logic; validate analytical or numerical results using Python (NumPy, SciPy, Pandas); improve AI reasoning to align with first principles and accepted engineering standards; apply structured scoring criteria to assess multi-step problem solving.
Freelance Automotive Engineering & Python Expert - AI Trainer
Contributors may design graduate- and industry-level automotive engineering problems grounded in real practice; evaluate AI-generated solutions for correctness, assumptions, and engineering logic; validate analytical or numerical results using Python (NumPy, SciPy, Pandas); improve AI reasoning to align with first principles and accepted engineering standards; and apply structured scoring criteria to assess multi-step problem solving.
Freelance Automotive Engineering & Python Expert - AI Trainer
Design graduate- and industry-level automotive engineering problems grounded in real practice; evaluate AI-generated solutions for correctness, assumptions, and engineering logic; validate analytical or numerical results using Python (NumPy, SciPy, Pandas); improve AI reasoning to align with first principles and accepted engineering standards; apply structured scoring criteria to assess multi-step problem solving.
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