AI Engineer II (AI Platform)

MeridianLink · Remote · US Remote ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
$104k – $178k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Mid-level role
  • Fully remote
  • Python or C#/.NET
  • RAG & LLMs
  • Fintech sector

You will join the AI platform team to design services that enable consistent AI-powered features across MeridianLink's products. Responsibilities include implementing model serving layers, prompt management systems, and retrieval-augmented generation infrastructure while collaborating with product teams.

What you'll do

  • Implement AI platform components like model serving and prompt management
  • Develop APIs for product teams to integrate AI capabilities
  • Build observability tools to track output quality and system health
  • Collaborate with product engineers to translate needs into platform features
  • Contribute to documentation and reference implementations for adoption
  • Define integration standards including API contracts and error handling
  • Mentor junior engineers on AI systems and platform design
  • Implement evaluation pipelines for AI output quality and safety

What you'll need

  • 3–5 years of professional software engineering experience
  • Proficiency in Python, C#/.NET, Java, or Node.js
  • Strong understanding of algorithms, data structures, and system design
  • Experience integrating LLMs or ML models into production applications
  • Knowledge of RAG concepts, vector databases, and embedding pipelines
  • Experience building shared services or platform components
  • Familiarity with cloud-managed AI services like AWS Bedrock or Azure OpenAI
  • Bachelor's degree in Computer Science or equivalent experience

Nice to have

  • Experience with LLM frameworks like LangChain or LlamaIndex
  • Familiarity with vector databases such as Pinecone or Weaviate
  • Knowledge of Docker and Kubernetes for containerization
  • Experience with observability tools for ML/AI systems
  • Prior work in regulated industries with compliance requirements
  • Background in fintech, banking, or financial services
  • Daily use of AI-assisted development tools

Stack

  • Python
  • C#
  • .NET
  • Java
  • Node.js
  • AWS Bedrock
  • Azure OpenAI
  • LangChain
  • LlamaIndex
  • Pinecone
  • Weaviate
  • Docker
  • Kubernetes
  • Git
  • SQL

How you'll work

  • Fully remote position
  • Collaborative remote culture with intentional connection opportunities

What you get

  • Access to AI/ML training and technical development
  • Monthly soft-skill sessions
  • Mentorship from Senior and Staff engineers
  • Promotion from within for long-term growth
  • Direct access to executives via open-door policy
  • Support for work-life balance and personal commitments
  • Certified Great Place to Work