MeridianLink
AI Engineer II (AI Platform)
US Remote · Mid
Sponsorship not specifiedDetected 80 days ago
PythonJavaC#Node.js.NETData StructuresAlgorithmsCode ReviewGitSQLVector DatabasesAWSAzureDockerKubernetesCI/CDPlatform EngineeringAPI DevelopmentRESTMachine LearningLLMsRAGDesign SystemsLeadership
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Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- As a fully remote company, we're intentional about creating meaningful opportunities to connect with your team. - Continuous Learning: We're committed to helping you grow professionally.
- You'll have access to AI/ML training, job-specific technical development, monthly soft-skill sessions, and mentorship from experienced Senior and Staff engineers. - Work on Meaningful Problems: Your work goes beyond code.
Responsibilities
- Implement AI platform components - including model serving layers, retrieval infrastructure, prompt management, and output evaluation services - under the guidance of Senior and Staff engineers
- Develop and maintain APIs that product teams use to integrate AI capabilities into their applications
- Contribute to design discussions and provide input on trade-offs between simplicity, reliability, and scalability
- Participate in technical design sessions and code reviews with product teams building on the AI platform
- Mentor junior engineers (Engineer I) and help them grow their understanding of AI systems and platform design
- Implement evaluation and monitoring pipelines that give teams visibility into AI output quality and model behavior
- Help design systems that properly handle PII, maintain audit trails, and meet data residency requirements in AI pipelines
- You will work within the AI platform team to implement services such as model integration layers, retrieval-augmented generation infrastructure, prompt management systems, and evaluation pipelines.
- This role collaborates closely with Senior and Staff engineers on architecture, works directly with product engineering teams to understand their AI integration needs, and helps establish the standards and patterns teams follow when building on top of the AI platform.
Requirements
- 3-5 years of professional software engineering experience
- Strong proficiency in backend engineering using Python, C#/.NET, Java, or Node.js
- Hands-on experience integrating large language models or ML models into production applications
- Working knowledge of retrieval-augmented generation (RAG) concepts, vector databases, and embedding pipelines
- Familiarity with cloud-managed AI services (AWS Bedrock, Azure OpenAI, or equivalent)
- Experience with APIs, asynchronous processing, and event-driven architectures
- Bachelor's degree in Computer Science, Software Engineering, or equivalent professional experience
- We want to hear your ideas and feedback. - Work-Life Balance: We understand that you have a full life outside work.
Nice to have
- Experience with LLM frameworks (LangChain, LlamaIndex, etc.) or prompt engineering
- Familiarity with vector databases (Pinecone, Weaviate, Milvus, or similar)
- Knowledge of containerization and orchestration (Docker, Kubernetes)
- Experience with observability tools and designing monitoring for ML/AI systems
- Experience with fintech, banking, or other financial services environments
- Prior work in regulated industries with data handling, compliance, or audit requirements
Skills
- In-depth knowledge of one or more programming languages (Python, C#, Java, Node.js, etc.)
- Proficiency with SQL and relational databases
- Experience with version control (Git) and CI/CD pipelines
- Ability to write well-tested, maintainable code and participate effectively in code reviews
Benefits
- Build observability and monitoring into platform services to track output quality, latency, cost, and system health
Company info
- This AI Engineer II is a mid-level engineering role responsible for designing, developing, testing, and maintaining AI platform components that enable MeridianLink's products to deliver AI-powered features consistently and reliably.
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