Top AI & Machine Learning Jobs

Design and build scalable, high-performance conversational search features using React and Java integrated with LLMs. Lead multi-person projects, balance infrastructure and pragmatic solutions, mentor engineers, evaluate AI tools/models, collaborate with product/design, and participate in on-call rotation to ensure reliability and performance.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, including LLM inference infrastructure, RAG, AI agents, and evaluation/observability. Design and run experiments (A/B tests), optimize systems for production performance and reliability, and iterate rapidly with product and design partners.

Early-career software engineer building AI-native, agentic systems. Design, implement, test, deploy production solutions using AI-assisted tools. Contribute reusable foundations, participate in design/code reviews, and iterate on systems with attention to observability, state management, and inference cost.

Contribute to machine learning model design, training, and evaluation for fraud detection. Communicate findings, develop metrics, and support production ML workflows while ensuring compliance and model governance.

Build and ship end-to-end ML/AI systems (traditional ML, NLP, LLMs/AI agents) on transaction, merchant, and location data. Prototype, productionize, and monitor models, collaborate with engineering and product, and (for senior hires) shape roadmap and mentor teammates.

As a Senior AI Engineer at Octus, you'll design and implement AI systems, build LLM-driven applications, optimize architectures, and ensure production reliability at scale, while collaborating cross-functionally to deliver effective solutions.

As a Staff Data Scientist, you will lead complex marketplace problem-solving, architect ML systems, mentor teams, and drive data science strategy in partnership with engineering and product management.

Lead design and build of an AWS-only AI Operations platform: hosting, IaC, registries (Accountability, Agent, Tool), identity/authorization patterns, developer DX, observability, and security hooks for agentic systems. Evangelize internally and partner on compliance and security integrations.

Build and deploy production-scale AI/LLM systems: own ML lifecycle from model development to serving, optimize GPU/Kubernetes deployments, design LLM applications and APIs with monitoring, apply CI/CD and version tracking, collaborate with product teams, and contribute to AI engineering best practices.

Lead the AI research agenda at Kepler, focusing on trustworthy AI for enterprise decisions. Oversee research on agentic systems and evaluation frameworks, and manage a research team. Ensure production deployment of innovative AI solutions based on real financial data.