Senior Applied AI Research Engineer
Core
Define and operationalize AI engineering standards (AI SDLC) by experimenting with emerging AI technologies and converting findings into practical guidelines for the organization.
Role type
Senior Applied AI Research Engineer
Builds
Organization-wide AI SDLC standards, engineering recommendations, and reusable guidance for delivery teams
Domain
Software Engineering + Applied AI Research
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure
Required skills
software engineering and architecture fundamentals, AI agents and agentic workflows, LLM APIs and model integration, evaluation and testing of AI systems, CI/CD and software delivery practices, observability and monitoring, R&D mindset, critical thinking, systems thinking
Preferred skills
LLM-based application development, Retrieval-Augmented Generation (RAG), tool/function calling and protocols such as MCP, API design and integration, data pipelines and data management, containers and cloud-native development
Technologies
Python, JavaScript/TypeScript, Java, .NET, MCP, RAG
Responsibilities
Explore emerging AI technologies through hands-on experimentation and rapid prototyping; formulate hypotheses and evaluate results to create engineering recommendations; define and evolve the organization-wide AI SDLC; assess AI technologies and trends to identify failure modes; produce documentation and guidance for delivery teams; collaborate with the AI rollout function in a feedback loop
Seniority
Senior, hands-on IC