• Building and integrating AI-powered applications and services • Integrating APIs for external LLMs such as OpenAI, Anthropic, and Bedrock • Deploying open-source models like Llama in scalable environments • Contributing to our in-house agent service and its integration into our web application • Extending ReAct-Loop workflows with tool calling • Prompt engineering to improve system behavior • Developing functional primitives for real-time web GIS interactions • Designing and running evaluations against ground-truth datasets • Optimizing latency, response quality, and cost tradeoffs across AI systems

Role Description We are looking for an AI Engineer to build and ship LLM-powered healthcare applications. You’ll have ownership over new AI workflows, from prototype to production. Expect to ship fast, talk directly to customers, and build systems that genuinely reduce clinician burnout. This is a deeply technical role that blends ML, product thinking, and engineering. You'll build and own production services that rely on LLMs, speech models, and medical reasoning. - Develop and own end-to-end AI applications, such as clinical trial matching, ambient copilots, billing automation, and more. - Improve our LLM-powered documentation platform, used daily by thousands of clinicians. - Build and optimize inference pipelines and real-time speech recognition systems. - Collaborate closely with PMs, designers, clinical experts, and GTM teams to iterate rapidly and launch high-impact features. Qualifications - 3+ years building production AI systems, ideally in fast-moving environments or as a founder. - Extensive experience with LLM inference (e.g., OpenAI, Anthropic, Llama, etc.). - Strong product sense. - Comfortable working across the stack (frontend, backend, etc.) to get features shipped. - Obsessed with speed, ownership, and getting real user feedback. Requirements This is a remote position, although Bay Area residents are encouraged to work from our SF office. Nice to Haves - Experience with ASR systems (e.g. Whisper). - Experience with EHR integrations (FHIR, HL7) or healthcare-specific ontologies. - Familiarity with SOC-2, HIPAA, or sensitive data pipelines. Benefits - $150,000 to $250,000 annual salary. - Meaningful equity stake in the company. - Flexible PTO. - Work from home stipend. - Medical, Dental, Vision, 401K. Company Description DeepScribe is building AI agents to automate and transform clinical workflows. Our mission goes beyond note-taking - we’re building the operating system for healthcare. From clinical trial matching to billing and ambient documentation, we’re embedding AI directly into the workflows of the most overburdened professionals in the world. We’ve raised over $60 million in total funding from top-tier investors, including Index Ventures and prominent angels such as Alexandr Wang (fmr CEO of Scale AI) and Dylan Field (CEO of Figma). Our solutions are trusted by some of the largest healthcare organizations in the country, including The US Oncology Network (the nation’s largest oncology network) and Ochsner Health (the largest healthcare system on the Gulf Coast).

• Build, tune, and operate voice agents on top of ElevenLabs - conversational TTS, voice agents, and call hooks for real customer interactions, mostly in Filipino (Tagalog) • Design prompts and dialog flows for voice scenarios such as collections outreach, payment reminders, and customer support - primarily in Filipino, with English mixed in as customers code-switch • Integrate voice agents with our existing AI stack (offline ASR, collection agent) and iterate based on real call outcomes • Evaluate agent behavior against labeled calls and business metrics - script compliance, intent handling, conversion, customer experience • Build reports and dashboards in Databricks to track voice pipeline performance, call quality, agent KPIs, and downstream business impact • Collaborate with the customer service and collections teams to translate business processes into voice automation • Own your products end-to-end - from prototyping a new voice flow through deployment, monitoring, and measuring its economic impact

Role Description Join Liftoff as a GenAI Software Engineer and shape the future of ad tech. This role sits within the Creative GenAI (CGenAI) team and is dedicated to advancing the strategic initiatives that define how Liftoff applies generative AI to creative. Reporting to the Senior Director, Creative GenAI, you'll build intelligent agents to optimize workflows, and architect AI-powered solutions that transform how our business operates by leveraging cutting-edge vision and diffusion models to revolutionize creative production. In this role, you'll have an immediate impact on our AI strategy and product development. We foster a collaborative environment where you'll work closely with key decision makers to bring innovative solutions to life. You'll have the freedom to experiment, mentor others, and grow into a thought leader who defines not just Liftoff's AI future, but influences the broader ad tech industry. This role is ideal for an engineer who thrives in ambiguity, has a passion for experimentation, and wants to push the boundaries of what's possible with LLMs. You'll have the opportunity to tackle complex challenges, validate new approaches, and drive meaningful improvements across our organization. What You'll Do - Architect and ship AI systems that generate ad creatives end-to-end - including interactive playables - combining code generation, multimodal asset generation, and runtime quality into production-grade pipelines. - Rapidly prototype against real creative problems, then take what works from proof-of-concept to production at speed. - Partner closely with creative strategists, content leads, and builders to translate craft expertise into systems that scale. - Design robust systems that handle the inherent variability of AI-generated output through thoughtful guardrails, fallbacks, and quality gates. - Build evaluation infrastructure tailored to creative output, spanning subjective quality assessment, human-in-the-loop review, and A/B testing against real ad performance. - Drive innovation by researching new model capabilities and proposing new initiatives as the frontier moves. - Mentor the team and raise the bar on engineering practices, fostering an environment of open feedback and shared learning. Qualifications - Minimum Bachelor's Degree and 5 years of relevant experience. - Senior engineer with significant pre-LLM production experience and solid fundamentals in system design, debugging, and observability. - Strong in Python for AI/agent work and fluent in JavaScript/TypeScript for creative and playables work; HTML and gaming experience a plus. - Has shipped LLM-powered systems to production, learned the failure modes firsthand, and makes deliberate choices about what the model handles versus what belongs in code, tools, or context. - Treats evaluations as first-class infrastructure and has built autonomous agents with a realistic sense of what today's multimodal models can and can't do. - Clear communicator who collaborates well across teams and disciplines, navigating ambiguity and adapting as priorities shift. Requirements - Travel Expectations: We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. Benefits - Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. - Base compensation will vary based on the candidate's location and experience. - Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. - Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence.