Genios Ai

Software Engineer - AI Platform (US)

Remote (Santa Clara, California, US) · Full-time

Sponsorship not specifiedDetected 19 days ago

PythonGoFastAPIFull-Stack DevelopmentSQLMachine LearningTensorFlowPyTorchscikit-learnNLPLLMsRAGAgentic AIStatistics

About the role

Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial workflows using AI.
Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial operations with AI-driven workflow automation.
You'll work across model pipelines, infrastructure, and product layers, but with a clear emphasis on applied AI delivered in production.

Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems.
Integrate model training, evaluation, deployment, and monitoring into product workflows Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools.
Benchmark models, develop evaluation frameworks, and improve reliability and auditability.
Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments.
Work across the stack-from backend systems to product SDKs-to deliver AI features directly into user-facing applications.
Own critical product components and take responsibility for delivering robust, production-grade features.
Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems.
Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement.
Experience building and scaling backend platforms, APIs, and microservices.
Track record of building reliable products with strong attention to detail and usability.

This role requires ownership, hands-on coding, and the ability to move fast while balancing robustness and innovation.
3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions.
Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC.
Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API.
Experience with performance optimization and high-scale document indexing systems.

We intend to defy the cliches while living them.
You will be instrumental in shaping this cutting edge AI product owning features from design to launch.
We're looking for software engineers with solid foundations in building production systems and a strong applied AI focus.
You will be responsible for building functionalities into the product directly and writing production-grade code that brings advanced AI workflows into real-world use.
As an engineer at Genios, you'll focus on making minimum loveable products powered by AI-building scalable, reliable, and user-friendly systems.
We have full-time roles available with remote work flexibility, hybrid, or on-site based on your preferences and seniority.
Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.

This listing is sourced directly from Genios Ai's careers page and normalized into a canonical job model.