Lead AI Engineer

Odore is seeking a Lead AI Engineer to design, integrate, and optimize AI-driven solutions across their platform. This role focuses on integrating AI tools, enhancing data workflows, and establishing technical foundations for advanced AI capabilities while growing into an AI Lead position.

AI Integration & Architecture

• Integrate and orchestrate third-party and in-house AI/ML tools including LLMs, embeddings, and vector databases
• Design scalable AI-powered services that integrate seamlessly with existing systems
• Evaluate new AI technologies and recommend adoption based on business impact

Data Processing & AI Optimization

• Optimize data pipelines for AI-driven processing, analysis, and automation
• Apply AI techniques to improve data quality and insights generation
• Collaborate with data and product teams to translate business needs into AI solutions

Backend & Frontend Collaboration

• Build and maintain AI-enabled backend services using Python, AWS, and RESTful APIs
• Expose AI capabilities via well-structured APIs for frontend consumption
• Integrate AI features into React applications

Leadership

• Act as technical mentor for engineers working with AI features
• Contribute to defining AI standards and long-term roadmap
• Take ownership of AI architecture and strategy

Required

• 5+ years of experience in software engineering, machine learning, or AI-focused roles
• Strong proficiency in Python with experience building production backend systems
• Hands-on experience with AI/ML integration including LLMs, ML APIs, or AI platforms
• Experience with AWS services such as EC2, Lambda, S3, or SageMaker
• Solid understanding of RESTful API design and microservice architectures
• Experience collaborating with frontend teams using React or similar frameworks
• Strong knowledge of data processing, analysis pipelines, and performance optimization
• Ability to design systems balancing experimentation with production reliability

Nice to Have

• Experience with MLOps, model deployment, and monitoring
• Familiarity with vector databases, retrieval-augmented generation (RAG), or agent-based systems
• Experience optimizing AI cost, latency, and inference performance
• Prior experience mentoring engineers or leading technical initiatives
• Exposure to AI ethics, governance, and compliance considerations

Benefits

• Opportunity to build and scale AI capabilities in a production environment
• Clear growth path toward AI Lead position with strategic ownership
• High level of autonomy and technical influence
• Collaborative environment working across backend, frontend, and product teams
• Competitive compensation and benefits commensurate with experience