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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** REDICA Systems - **Location:** Pleasanton, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Code Review, Databases, Computer Engineering, Data Stores, Programming Tools, Amazon DynamoDB, Graph Database, Design of User Interfaces, Python (Programming Language), PostgreSQL, Machine Learning, Neo4j, NoSQL, Open Source Technology, Performance Tuning, Scrum Methodology, Software Tools, Standard Sql, Data Processing, ReactJS, Large Language Models, Snowflake, Generative AI, Backend, Fastapi, Build Management, AI Platforms, Kubernetes, Information Technology, Data Analytics, Front End Software Development, Streamlit Framework, Data Pipelines, Web Api, Microservices - **Published:** September 11, 2026 - **Apply:** https://www.thejobnetwork.com/job/e947c603-4b49-40d2-9388-12fef4f9f52f/ai-engineer ## About the Role * 3+ years of experience as an ML Engineer developing and productionizing traditional ML models and/or Generative AI applications * Hands-on experience in Python * Strong experience in building and deploying LLM and Generative AI applications at scale * Extensive hands-on experience with third-party LLM provider APIs (OpenAI, Google, Anthropic, Amazon Bedrock) and open-source LLMs (Llama, Mistral) * Experience in building conversational systems using LLMs and agentic frameworks (Langchain, LlamaIndex, Langgraph, CrewAI) * Hands-on experience with microservices architecture and orchestration, including building backend APIs using FastAPI * Experience with vector databases (e.g., Pinecone), graph databases (e.g., Neo4J), and hybrid search * Hands-on experience working with SQL (e.g., Postgres, Snowflake) and NoSQL (e.g., DynamoDB) databases/warehouses * Bachelor's degree in Computer Science, Computer Engineering, or a related technical field Bonus Points * Familiarity with lightweight UI design using Python/JavaScript frameworks (Streamlit, ReactJS) and integration with ML model backends * Hands-on experience with container orchestration services on AWS (e.g., ECS and EKS) and ML deployment on AWS (AWS Sagemaker) * Experience with both batch and event-driven application architectures and ML inference methods ## Description We're looking for an AI Engineer to join our team as we continue to develop the first-of-its-kind Quality and Regulatory Intelligence (QRI) platform for the life sciences industry. In this role, you will help build and deploy AI-powered capabilities that extract insights from complex regulatory datasets, inspection reports, and government data sources. You will work closely with product managers, data engineers, and software engineers to integrate LLM-powered systems into the Redica platform. The ideal candidate maintains a high bar for engineering quality while remaining hands-on in the code, building scalable AI services and applications that operate reliably in production environments. Core 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. * Integrate AI capabilities into existing platform services and APIs. * 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. * Work with structured and unstructured regulatory datasets to power AI-driven insights. * Implement hybrid search and retrieval workflows using vector databases and graph databases. * Integrate AI models with data pipelines and data stores to support scalable inference. * Deploy and maintain AI systems in production environments. * Contribute to testing, monitoring, and performance optimization of AI services. * Assist in troubleshooting production issues related to AI systems and model inference. * Work closely with product managers and engineering teams to translate product requirements into AI-powered solutions. * Participate in engineering discussions, code reviews, and sprint planning. * Contribute to continuous improvement of AI development practices and system performance. What Success Looks Like in the First 6 Months * Ship AI-powered features used by customers within the Redica platform. * Contribute production-ready code to backend services and frontend interfaces. * Help integrate LLM-based capabilities into customer-facing workflows. * Improve reliability, testing, and performance of AI-enabled services. * Identify opportunities to automate engineering workflows using AI tools. About you * Tech Savvy: Demonstrates strong technical proficiency in AI technologies and modern development tools, and actively adopts emerging technologies that improve system performance and engineering productivity. * Manages Complexity: Works effectively within complex systems involving AI models, data pipelines, and distributed services. * Plans and Aligns: Executes development tasks within defined scopes and aligns work with product and engineering priorities. * Collaborates: Works effectively with cross-functional teams and contributes constructively toward shared goals. * Manages Ambiguity: Adapts to evolving datasets, model approaches, and product requirements while maintaining steady development progress. * Engaged: Shares our values and possesses the essential competencies needed to thrive at Redica, as outlined here: https://redica.com/about-us/careers. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Web APIs you might not know about](https://www.wearedevelopers.com/videos/281-web-apis-you-might-not-know-about) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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