Back
Mid-level, popular AI role with broad skill requirements and reasonable brand recognition increases applicant competition.
AI engineering skills transferable broadly, though mortgage/regulatory experience gives moderate domain bias.
Mandatory 5+ years plus many specific LLM, Kafka, Neo4j, cloud, and API skill requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end delivery of AI features for Dara MCP platform including LLM integrations and tool development.
Develop and maintain Kafka event pipelines, document processing solutions, and Human-in-the-Loop (HITL) workflows.
Collaborate with architects, product teams, and mortgage servicing SMEs to build scalable, production-grade AI solutions.
5+ years software engineering experience focusing on AI/ML solution development.
Hands-on experience integrating Large Language Models such as Claude, GPT-4, Gemini, or equivalent.
Proficiency with Python, TypeScript/Node.js, FastMCP or similar frameworks, Kafka, Neo4j, and REST API development.
Work Experience Required: 5+ years in software engineering with AI/ML focus.
Experienced in building AI solutions in regulated environments, preferably in mortgage servicing or financial services.
Skilled in applying Retrieval-Augmented Generation (RAG), embeddings, vector search, and document extraction techniques at production scale.
Able to collaborate cross-functionally with SMEs and technical teams to ensure accuracy, reliability, and business alignment of AI features.