Mid-Level AI Software Engineer, Re:Build Manufacturing

• 3+ years of experience developing professional software, with a firm grasp of cloud-based application development integrated with large language models (LLMs) and AI agent architectures
• Hands-on experience with generative AI models, including but not limited to Llama, Claude, ChatGPT, Gemini, DeepSeek, Mistral, and AWS Bedrock
• Experience in LLM frameworks and tools such as LangChain, LlamaIndex, Haystack, or Auto-GPT
• Familiar with prompt engineering, retrieval-augmented generation (RAG), and vector databases like Pinecone, Weaviate, or FAISS
• Experience using LLM interaction platforms such as Open WebUI or similar tools
• Experience in backend development, particularly in C#, for creating reliable and efficient microservices
• Hands-on experience with JavaScript frameworks such as React for building modern and interactive user interfaces
• Experience building and deploying applications using serverless architecture and containerized solutions on AWS (e.g., Lambda, ECS, DynamoDB, S3, API Gateway, Fargate)
• Experience with API technologies, including REST and GraphQL
• Experience with SQL and RDBMS
• Familiarity with operating system internals, including Linux and Windows
• Strong communication skills with the ability to collaborate effectively with peers, stakeholders, and cross-functional teams
• Experience mentoring junior developers and contributing to a team-focused development environment
• Ability to work in an agile setting and contribute to sprint planning, retrospectives, and cross-functional team efforts
• Knowledge of algorithms and other computer science fundamentals
• Willingness to travel
• Fluency in written and spoken English is required

Desirable

• The AI Software Engineer contributes to building and improving software systems that support our AI initiatives
• They work with other engineers to design and develop reliable, maintainable code
• They help solve technical problems, improve system performance, and support day-to-day development tasks
• This role involves working closely with other teams, participating in code reviews, and following coding standards and best practices
• The engineer is also encouraged to stay updated on new technologies and continuously grow their technical skills to support team and project success
• Participate in the design and architecture of scalable, reliable, high-performance software systems, with a strong emphasis on integrating generative AI and LLMs to deliver meaningful business outcomes across RBM
• Develop and enhance AI-enabled features and core platform functionality, ensuring the codebase remains maintainable, modular, and efficient
• Identify and resolve complex bugs, performance bottlenecks, and integration issues, particularly in AI pipelines and cloud-based services
• Participate in and lead code reviews, maintaining high standards for quality, security, and reusability
• Collaborate with cross-functional teams, including QA, Product Management, DevOps, and domain experts, to ensure smooth and well-aligned product development and delivery
• Mentor junior engineers and AI practitioners, sharing expertise and fostering a culture of learning and innovation
• Work in alignment with The Re:Build Way