AI Agent Engineer

• At least 3 years of experience in developing Artificial Intelligence solutions.

• Experience in agent architectures and multi-agent systems.

• Knowledge of:

  • Planning.

  • Tool calling.

  • Function calling.

  • Memory.

  • Context engineering.

  • Semantic routing.

  • Workflows vs. agents.

  • MCP (Model Context Protocol).

  • Multi-agent orchestration.

• Experience with agent runtime, including execution loop, state management, orchestration, retries, and checkpointing.

• Knowledge of streaming, human-in-the-loop, observability, tracing, and context management.

• Experience in Evals, including offline/online evaluations, benchmark design, and regression testing.

• Knowledge of golden datasets, synthetic datasets, and LLM-as-a-judge.

• Experience in RAG, including chunking, embeddings, reranking, and vector databases.

• Knowledge of LLM Engineering, prompting, structured outputs, JSON Schema, and function calling.

• Knowledge of tokenization, costs, latency, caching, and context windows.

• Python: essential.

• Experience in backend engineering.

• Knowledge of unit, integration, evaluation, and regression testing.

• Knowledge of observability and monitoring of AI-based applications.

• Experience with LangGraph.

• Experience with OpenAI Agents SDK.

• Knowledge of A2A (Agent2Agent).

• Experience with FastAPI.

• Knowledge of Docker and Kubernetes.

• Experience with Redis, Kafka, and PostgreSQL.

• Knowledge of MLflow for experiment tracking.

• Experience with OpenTelemetry.

• Knowledge of Grafana and Prometheus.

• Experience with Azure, AWS, or GCP.

• Knowledge of Azure OpenAI, Vertex AI, Amazon Bedrock, and AgentCore.

• Experience integrating AI solutions into CI/CD pipelines.

At The Whiteam Consulting, we are looking for an AI Agent Engineer with at least 3 years of experience to join a project specialized in the design, development, and evolution of solutions based on Artificial Intelligence agents and Large Language Models (LLMs).

We are looking for a technical profile with experience in agent architectures, runtime and orchestration, RAG, LLM Engineering, model evaluation, and backend with Python.

The selected person will participate in the development of robust, observable, and scalable agent systems, working with modern AI and cloud technologies.

• Design and develop AI agent architectures.

• Work with concepts such as planning, tool calling, function calling, memory, and context engineering.

• Design solutions based on semantic routing, workflows, and agents.

• Work with MCP (Model Context Protocol) and, ideally, A2A.

• Design and develop multi-agent orchestration architectures.

• Work with frameworks such as LangGraph and OpenAI Agents SDK.

• Design and maintain the agent runtime, including execution loops, state management, orchestration, retries, and checkpointing.

• Implement streaming, human-in-the-loop, observability, tracing, and context management.

• Design tool execution systems and concurrency management.

• Design and implement agent and LLM evaluation strategies.

• Create offline evals, online evals, benchmarks, and evaluation datasets.

• Implement golden datasets, synthetic datasets, and LLM-as-a-judge.

• Develop regression tests and perform experiment tracking and reproducibility.

• Design and develop RAG solutions, including chunking, embeddings, reranking, and vector databases.

• Optimize retrieval quality and context window usage.

• Work in LLM Engineering, including prompting, structured outputs, JSON Schema, and function calling.

• Optimize aspects related to tokenization, costs, latency, and caching.

• Develop backend solutions using Python.

• Work with technologies such as FastAPI, Docker, Kubernetes, Redis, Kafka, and PostgreSQL.

• Implement observability solutions, including tracing, metrics, logs, and agent traces.

• Monitor costs and latency of AI-based systems.

• Develop unit testing, integration, evaluation, and regression strategies.

• Integrate AI solutions into CI/CD processes.

• Work with cloud environments and specialized AI services.

• Location: Spain.

• Modality: 100% remote.

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• Experience: 3 years.

• Salary: €35,000 - €38,000 gross annual, depending on experience provided.