AI Engineer developing and maintaining AI APIs and microservices using Python and Node.js for financial products. Collaborating on LLM pipelines and integrating language models into business flows.
Responsibilities
Develop and maintain AI APIs and microservices using Python and Node.js
Design and implement LLM pipelines (RAG, fine-tuning, prompt engineering) for financial products - Preferred
Integrate language models (OpenAI, Claude, open-source models) into business workflows
Build and evolve AI agents with frameworks such as LangChain and LangGraph - Preferred
Ensure quality, observability, and monitoring of production solutions (MLOps) - Preferred
Collaborate with the data team on defining and consuming datasets for training and evaluating models
Participate in code reviews and contribute to the squad's engineering best practices
Document architectures, technical decisions, and solution workflows
Requirements
Strong experience with Python for developing AI/ML solutions
Experience with Node.js for building APIs and backend services
Hands-on knowledge of LLMs and orchestration frameworks (LangChain, LangGraph, LlamaIndex, etc.)
Familiarity with RAG and vector databases (Pinecone, Qdrant, pgvector, etc.) - Preferred
Experience with Git and CI/CD practices
Knowledge of Docker and containerization
Ability to translate business requirements into technical AI solutions
Experience in the financial market (fintechs, neobanks, payments) - Nice to have
Knowledge of fine-tuning language models - Nice to have
Experience with cloud (GCP, Oracle, or Azure) and managed ML services - Nice to have
Familiarity with MLOps and tools such as MLflow or Weights & Biases - Nice to have
Knowledge of security and compliance in regulated environments - Nice to have
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