Aware Health · 1 week ago
Senior Software Engineer, Applied AI
San Francisco, CA
Full-time
Hybrid
Mid, Senior Level
5+ years expAware Health is a company focused on improving the health of individuals through innovative AI-driven solutions. They are seeking a highly-motivated Senior Software Engineer to design and build AI systems and backend services that support AI capabilities, while collaborating closely with various teams to enhance product experiences.
Health CareMedical
Responsibilities
Design, build, and maintain AI systems, agents, and AI-powered product features
Design, build, and maintain backend services with an emphasis on supporting AI capabilities, but also across the full stack from time to time
Build orchestration layers that connect data sources, services, models, and downstream product capabilities
Build clean, well-structured APIs for exposing model inference and AI tools
Build observability, instrumentation, tracing, and logging around agent behavior and model inputs and outputs
Build agentic workflows and AI automation that amplify our humans and drive efficiency
Collaborate closely with AI/ML engineers to optimize model behavior, troubleshoot drift, and improve outcomes
Collaborate closely with data, clinical, and product teams to translate AI capabilities into usable product experiences
Keep up with the newest developments in software engineering and AI development
Qualification
Required
Energized to work in ambiguous, fast-paced startup cultures, operates with a sense of urgency, and isn't discouraged by being in an environment where we don't have it all figured out yet
Genuine excitement about AI and its possibilities — with an open and curious mindset that drives experimentation, creativity, and trying new things
5+ years of experience working as a software engineer or similar role, with 2+ years as applied AI or ML engineer
Hands-on experience building with LLMs (Anthropic, OpenAI, HuggingFace, etc) and prompt/context engineering
Hands-on experience building with agent frameworks (LangGraph/LangChain, Crew, etc) including tool use, chaining, and orchestration patterns
Expertise with SQL and Python
Solid understanding of event-driven architectures and distributed systems
A desire to grow further in artificial intelligence and/or machine learning
Preferred
Preference for candidates with a background in digital health
Excels at building user experiences and/or comfortable working across the full stack
Experience implementing safety guardrails, security, and/or compliance requirements
Experience with RAG, embeddings, vector stores, post-training and supervised fine-tuning
Experience with machine learning and deploying/training AI/ML models
Degree in CS, ML, data science, or a related field is highly desired
Benefits
Early equity stake in a fast-growing startup (pre Series A)
Medical (PPO, HMO, HDHP), dental and vision
FSA administration
Life Insurance
Short/long term disability
Employee Assistance Program (EAP)
Commuter benefits
401K
On-site gym
Company
Aware Health
Same-day digital musculoskeletal care platform to deliver best-in-class cost saving and health outcomes.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$6MKey Investors
Boomerang VenturesTechstars
2025-06-28Seed· $2.33M
2024-08-29Seed· $3M
2022-05-01Pre Seed· $0.68M
Leadership Team
Heidi Ojha
Cofounder, CEO
Recent News
techstars.com
2025-05-09
Labor Capital
2023-09-07
techstars.com
2022-03-22
Company data provided by crunchbase