Senior AI Engineer, Lamina (Us)

About Lamina

Lamina is transforming commercial lending through a collaborative SaaS platform that simplifies multi-lender transactions. We empower financial institutions with intuitive tools to syndicate and participate in deals securely and efficiently.

Position Overview

We are seeking a highly skilled and creative Senior AI Engineer to join our Lamina team. This role will focus on building intelligent agents and advanced prompting systems that enhance automation, decision-making, and user experience across our platform. You will collaborate closely with product, engineering, and design teams to architect and own AI-driven solutions that integrate seamlessly into Lamina's ecosystem.

Key Responsibilities

• Design, build, and deploy AI agents that automate workflows and enhance platform intelligence.
• Develop advanced prompting strategies for LLMs (e.g., Claude, GPT, Gemini) to support engineering and product use cases.
• Own the end-to-end lifecycle of AI features-from ideation and prototyping to production deployment and monitoring.
• Collaborate with cross-functional teams to align AI capabilities with business goals and user needs.
• Integrate AI solutions with existing backend services and APIs (e.g., Java, React, AWS).
• Ensure scalability, security, and compliance of AI systems in a regulated fintech environment.
• Stay current with emerging AI technologies, frameworks, and best practices.

Required Qualifications

• 5+ years of experience in software engineering, with at least 2 years focused on AI/ML or LLM applications.
• Proven experience building and deploying autonomous agents or AI-driven workflows.
• Expertise in prompt engineering and fine-tuning LLMs for specific tasks.
• Strong programming skills in Python and familiarity with AI frameworks (LangChain, OpenAI, Anthropic).
• Strong background in data engineering with hands-on experience in building ETL/ELT pipelines, data lakes, and data warehouses.
• Solid understanding of data science methodologies and tools.
• Proficiency in SQL and experience with modern data platforms (e.g., Snowflake, Redshift, Databricks).
• Experience integrating AI with cloud platforms (AWS) and microservices.
• Excellent communication and collaboration skills; ability to work across teams and lead initiatives.
• Familiarity with Agile development and CI/CD pipelines.

Preferred Qualifications

• Experience in fintech or B2B SaaS environments.
• Knowledge of data privacy, compliance, and security standards in AI applications.
• Experience with vector databases, embeddings, and retrieval-augmented generation (RAG).
• Familiarity with data governance practices, including data lineage, metadata management, and data cataloging.
• Experience in building data models to support machine learning pipelines and analytics.
• Contributions to open-source AI projects or published research.