Senior Machine Learning Engineer (LLMs - Agentic Workflows)
New
F
FactoredArtificial Intelligence
Latin AmericaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonMachine LearningLangChain
Requirements
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
- 5+ years of hands-on experience developing and deploying machine learning models in production environments.
- Strong software engineering fundamentals, including data structures, algorithms, system design, OOP, and API design & integration.
- Proven experience designing and implementing agentic architectures, including multi-agent workflows, tool-calling, state management, and human-in-the-loop patterns.
- Expertise in integrating Generative AI frameworks and APIs (such as LangChain, LangGraph, OpenAI, and Claude) into production-grade applications.
- Strong understanding of LLM fundamentals, systematic prompt engineering (chain-of-thought, few-shot), and debugging tools like LangSmith or Arize Phoenix.
- Experience with vector databases (Pinecone, Milvus, Qdrant) for retrieval-augmented generation (RAG) and long-term agent memory.
- Experience with cloud platforms such as AWS, GCP, or Azure for deploying AI workloads.
Responsibilities
- Architect how the agent breaks down a complex user request into a series of actionable sub-tasks.
- Develop Plan-and-Execute or ReAct patterns where the model thinks before it acts.
- Design robust systems to maintain short-term memory across long-running tasks.
- Create the interface between the LLM and external software, databases, or APIs.
- Standardize how the agent calls functions, interacts with legacy systems, or executes Python code in a sandboxed environment.
- Implement error-handling and self-correction.
- Build custom evaluation frameworks to measure trajectory success.
- Set up monitoring to visualize the agent's thought process.
- Ensure the agent doesn't hallucinate tool usage through strict guardrails and Human-in-the-Loop checkpoints.
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