Condor Software
Senior AI/ML Engineer
San Francisco · Senior
Sponsorship not specifiedDetected 168 days ago
TypeScriptPythonReactDjangoBackend DevelopmentFull-Stack DevelopmentAWSCloud PlatformsMachine LearningLLMsRAGAgentic AIAccountingForecastingElectrical Engineering
About the role
- This is the engineering work that turns Condor from a system of record into a system of action: agents that forecast, reconcile, and explain financial signals across the most complex R&D environments in the world.
- You will be responsible for taking agentic systems from prototype to reliable, observable, production-grade services-running at scale in a live AWS environment where correctness and auditability are non-negotiable.
- This is not prompt-tuning in a notebook.
Responsibilities
- Design, build, and operate LLM-based agents in production, owning their reliability, latency, cost, and observability at scale.
- Build and maintain the infrastructure that supports agentic workflows-tool schemas, retrieval systems, orchestration, and automated reasoning-on a serverless AWS architecture.
- Build, train, and serve custom ML models in production where they add value over general-purpose LLMs, owning the full lifecycle from data and training through deployment, monitoring, and retraining.
- Build backend services and APIs that integrate AI capabilities with complex workflows across clinical trial accounting, financial forecasting, and budgeting.
- Build frontend components and interfaces as needed to surface AI capabilities in the product, using React.
- Mentor team members on applied AI, system design, and technical excellence.
Requirements
- Demonstrated experience running LLM-based agents or AI-powered automation in production-not just prototypes-including responsibility for their reliability, evaluation, and cost.
- Hands-on experience deploying and operating AI/ML systems in a cloud environment, preferably AWS (Lambda, ECS/Fargate, SageMaker, Bedrock, or similar).
- Design and implement evaluation, testing, and guardrail systems that ensure AI outputs meet the correctness and auditability standards required for financial data.
Nice to have
- Experience with agentic frameworks and LLM tooling (e.g., function calling/tool use, retrieval-augmented generation, evaluation frameworks) using providers such as Anthropic Claude or OpenAI.
- Experience with AWS ML and AI services (SageMaker, Bedrock) and serverless infrastructure.
- Experience with TypeScript and React for full-stack feature delivery.
- Familiarity with Django or Flask.
- Experience in regulated, high-correctness, or financial data domains.
- 401(k) plan with a 3% company match that vests immediately
Skills
- Minimum of 5+ years of software engineering experience, with significant recent focus on AI/ML systems.
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
- Condor exists to change that.
- It powers prediction, control, and execution across the most complex R&D environments in the world.
- Condor has moved past proving the concept.
- Enterprise teams already trust Condor to run critical operations and finance.
- Deep expertise in Python and associated frameworks.
Compensation
- Competitive compensation and meaningful equity participation
Benefits
- Competitive compensation and meaningful equity participation
- Comprehensive employee benefits, including 100% company-paid health, dental, vision, and life insurance
- We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected status.
Equal opportunity
- equal opportunity employer.
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This listing is sourced directly from Condor Software's careers page and normalized into a canonical job model.