AI Engineer, AI Services
Is deze vacature iets voor u?
Mijn cv maken Maak uw cv en ontdek uw matchpercentage met deze functie — en met alle andere.
Volg uw sollicitaties op mobiel De gratis Whileresume-app, op iPhone en Android.
De functie
Role Overview: The AI Engineer is a hands-on builder who develops and deploys agentic AI solutions for client-facing projects, focusing on multi-agent workflows, retrieval pipelines, and system integrations.
Key Responsibilities: Design agentic solutions using frameworks such as LangChain, LangGraph, Autogen, LlamaIndex, or CrewAI, and implement components for document processing, retrieval, and structured output.
Data & Retrieval: Develop and maintain vector database pipelines (Pinecone, pgvector, Elasticsearch) and create RAG-based retrieval workflows, while configuring LLM/SLM endpoints, tool-calling, and memory/state handling.
Workflow & Integrations: Implement real-time and batch workflows with Python and tools like Kafka, EventBridge, Airflow, Snowflake, S3, and n8n; build integrations with enterprise systems (Jira, ServiceNow, SharePoint, Salesforce) and APIs.
Quality & Observability: Write tests, contribute to monitoring, logging, metrics, and guardrail configurations; participate in debugging sessions and post-incident reviews.
Client Delivery & Governance: Participate in workshops and demos, translate requirements into technical tasks, document deployment steps, and adhere to security, governance, and Responsible AI practices.
Key Responsibilities: Design agentic solutions using frameworks such as LangChain, LangGraph, Autogen, LlamaIndex, or CrewAI, and implement components for document processing, retrieval, and structured output.
Data & Retrieval: Develop and maintain vector database pipelines (Pinecone, pgvector, Elasticsearch) and create RAG-based retrieval workflows, while configuring LLM/SLM endpoints, tool-calling, and memory/state handling.
Workflow & Integrations: Implement real-time and batch workflows with Python and tools like Kafka, EventBridge, Airflow, Snowflake, S3, and n8n; build integrations with enterprise systems (Jira, ServiceNow, SharePoint, Salesforce) and APIs.
Quality & Observability: Write tests, contribute to monitoring, logging, metrics, and guardrail configurations; participate in debugging sessions and post-incident reviews.
Client Delivery & Governance: Participate in workshops and demos, translate requirements into technical tasks, document deployment steps, and adhere to security, governance, and Responsible AI practices.
Bekijk de volledige vacature
Taken, profiel, vaardigheden en voordelen — maak gratis een account aan.
of
Al een account?
InloggenDeze vacatures zijn misschien iets voor u
Nog geen echt vergelijkbare vacatures — hier zijn de nieuwste.
? Staff Data Scientist, Marketplace ? Staff Data Scientist, Platform (Inference/Payments) ? Staff GenAI System Engineer, Automation Foundation ? Staff Machine Learning Engineer, Communication & Connectivity ? Staff Machine Learning Engineer - Community Support Engineering ? Staff Machine Learning Engineer, Listings and Host Tools Data and AI