Senior AI Engineer

New

MotumFintech AI

Source API remote eligibility restrictions: ArgentinaFull-TimeSenior

Salary not disclosed

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Job Details

Languages: English proficiency at C1-C2 level is required.
Experience: 5+ years of professional software engineering, machine learning engineering, or applied AI experience; 2+ years building applications with large language models.
Required Skills: PostgreSQLPythonFastAPILLMLangChain

Have 5+ years of professional software engineering, machine learning engineering, or applied AI experience.
Have 2+ years of experience building applications with large language models.
Have shipped at least one LLM-powered product or major feature to production.
Bring advanced Python skills and experience designing maintainable backend services.
Have strong knowledge of RAG architecture, embeddings, vector search, reranking, and document processing.
Have production experience with OpenAI, Anthropic, or comparable model APIs.
Have experience building agent workflows with LangGraph, LangChain, LlamaIndex, or similar frameworks.
Have experience designing and consuming REST APIs with FastAPI.
Have strong working knowledge of PostgreSQL and data modeling.
Have experience with at least one vector search technology, such as pgvector, Pinecone, Weaviate, or OpenSearch.
Have experience deploying and monitoring applications on AWS, GCP, or Azure.
Understand testing, observability, security, and cost management for production AI systems.
Have English proficiency at C1-C2 level and be able to explain technical tradeoffs clearly in English.

Build production LLM applications for financial research, document processing, decision support, and workflow automation.
Design RAG pipelines using document ingestion, chunking, metadata filtering, embeddings, reranking, and hybrid search.
Develop AI agents that use APIs, databases, internal services, and external tools to complete multistep tasks.
Implement structured outputs, tool calling, memory, state management, retries, and human approval flows.
Build evaluation suites for retrieval quality, factual accuracy, task completion, latency, and cost.
Create safeguards for hallucinations, prompt injection, sensitive financial information, and unauthorized tool access.
Design and maintain Python services using FastAPI and PostgreSQL.
Deploy, monitor, and improve AI workloads in a cloud environment.
Collaborate with product managers, engineers, and company leadership; review architecture decisions and help establish engineering standards for the AI platform.

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