Applied AI Engineer

Cognite Cognite · Industrial · India · Strategic Projects

Applied AI Engineer role focused on designing and building AI-powered solutions, including agentic systems and user-facing applications, for industrial digitalization. The role involves end-to-end ownership of deployments, integration with existing systems, and collaboration with customers and product teams.

What you'd actually do

  1. Own deployments end-to-end. Build cross-stack solutions using Cognite Data Fusion and agentic frameworks to solve real customer problems
  2. Work with real-world systems and data. Orchestrate integrations between AI components, Cognite data models, and existing customer systems using scalable engineering practices
  3. Design agent workflows. Architect and implement multi-agent systems that combine LLMs, tool use, evaluation loops, and reasoning over industrial data
  4. Execute directly with customers. Collaborate with technical teams on-site to refine use cases and integrate solutions into production environments.
  5. Build interactive UIs. Create lightweight but powerful interfaces that deliver value for executives and operators alike.

Skills

Required

  • LLMs
  • embeddings
  • prompt engineering
  • React
  • TypeScript
  • Python
  • Kotlin
  • LangChain
  • testing
  • version control
  • code review

Nice to have

  • UI/UX instincts
  • industrial data types
  • Cognite Data Fusion
  • vector databases
  • RAG architectures
  • Cloud-native development
  • industrial domains
  • startup experience
  • industrial control systems
  • agentic coding tools

What the JD emphasized

  • Hands-on experience with LLMs, embeddings, prompt engineering, and related techniques
  • You've shipped agent-based applications. Experience building LLM-driven or agentic systems (e.g., using LangChain or similar frameworks).
  • You write quality code. Clean, maintainable, and scalable—with solid practices around testing, version control, and code review.

Other signals

  • AI agents
  • LLMs
  • customer deployments
  • industrial data