REDICA Systems
AI Engineer
Pleasanton, CA, United States
Sponsorship not specifiedDetected 96 days ago
JavaScriptPythonReactFastAPIBackend DevelopmentCode ReviewSQLNoSQLPostgreSQLDynamoDBSnowflakeVector DatabasesAWSMachine LearningData EngineeringLLMsLangGraphUI DesignAgile
About the role
- Redica Systems' headquarters are in Pleasanton, CA.
- More information is available at redica.com.
- This enables them to quantify risk signals from their suppliers, identify market opportunities, benchmark against peers, and prepare for the latest inspection trends.
Responsibilities
- Build and deploy AI-powered applications using large language models and generative AI frameworks.
- Develop conversational systems and intelligent workflows using LLMs and agentic frameworks.
- Design and implement backend APIs and services supporting AI functionality using Python and FastAPI.
- Develop microservices that enable scalable AI inference and data processing.
- Integrate AI services with other platform components to deliver end-to-end product capabilities.
- Integrate AI models with data pipelines and data stores to support scalable inference.
- Deploy and maintain AI systems in production environments.
- Strong experience in building and deploying LLM and Generative AI applications at scale
- Experience in building conversational systems using LLMs and agentic frameworks (Langchain, LlamaIndex, Langgraph, CrewAI)
- Familiarity with lightweight UI design using Python/JavaScript frameworks (Streamlit, ReactJS) and integration with ML model backends
Requirements
- Demonstrates strong technical proficiency in AI technologies and modern development tools, and actively adopts emerging technologies that improve system performance and engineering productivity.
- 3+ years of experience as an ML Engineer developing and productionizing traditional ML models and/or Generative AI applications
- Extensive hands-on experience with third-party LLM provider APIs (OpenAI, Google, Anthropic, Amazon Bedrock) and open-source LLMs (Llama, Mistral)
- Hands-on experience with microservices architecture and orchestration, including building backend APIs using FastAPI
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical field
Company info
- Shares our values and possesses the essential competencies needed to thrive at
- Ship AI-powered features used by customers within the Redica platform.
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This listing is sourced directly from REDICA Systems's careers page and normalized into a canonical job model.