Applied AI Engineer (Automation)
Core
Design, develop, and deploy tailored AI and automation solutions for clients, integrating LLMs into real business workflows via APIs and automation platforms.
Role type
mid-to-senior individual contributor Applied AI Engineer (Automation)
Builds
production-grade AI workflows, services, and agentic systems for enterprise clients
Domain
Enterprise AI, Generative AI, Automation
Deliverable
production ML models
Required skills
Python, API development, LLM integration, workflow automation platforms, RAG pipelines, vector databases, cloud deployment, async/queuing patterns
Preferred skills
LLM fine-tuning, observability and tracing, graph databases, data governance concepts, consulting experience
Technologies
FastAPI, n8n/Make/Zapier, OpenAI/IBM watsonx.ai/Amazon Bedrock, LangChain/LangGraph/Google ADK, Pinecone/Elasticsearch/pgvector, Docker, AWS/GCP/Azure/IBM, Celery/Redis/Kafka, LangSmith/OpenTelemetry
Responsibilities
Design and deploy AI/automation solutions aligned to client objectives; translate business problems into production-grade workflows; build agentic workflows with tool calling; implement RAG pipelines; ship prototypes and harden them into scalable systems; participate in client discovery and technical demos; improve deployed solutions through iteration and monitoring; produce technical documentation.
Seniority
Mid-to-senior, hands-on IC