SQM Infrastructure Product Development AI Engineer
Northern Trust1 day ago
Base Salary
$81k - $133k/yr
Responsibilities
- Design and develop enterprise Generative AI and agentic AI applications and multi-step, stateful workflows.
- Build RAG solutions using PostgreSQL and pgvector for vector storage and semantic retrieval.
- Integrate applications with Azure OpenAI and other LLM-based services, including prompt engineering and reusable prompt patterns.
- Develop scalable Python backend services and REST APIs with FastAPI.
- Build evaluation, tracing, debugging, monitoring, and observability mechanisms for LLM and agent workflows.
- Containerize and deploy AI services to Azure Kubernetes Service and design solutions using Azure identity, security, networking, storage, monitoring, and integration services.
- Implement production-ready exception handling, logging, retries, API security, configuration management, and observability.
- Own AI product features through architecture, development, testing, deployment, production support, and enhancement.
- Collaborate with product, architecture, engineering, infrastructure, cloud, database, operations, QA, DevOps, and business teams.
- Evaluate emerging LLM, retrieval, agentic AI, and AI engineering techniques and resolve production incidents and issues.
Requirements
- Hands-on experience developing enterprise Generative AI and RAG products beyond proof of concept into production.
- Experience with LLMs, Azure OpenAI, RAG, prompt engineering, agentic AI, and LLM evaluation and observability.
- Proficiency with Python, FastAPI, REST APIs, asynchronous/API development, and microservices architecture.
- Experience with LangChain, LangGraph, and LangSmith, including agentic workflows, tracing, and evaluation.
- Experience with PostgreSQL, pgvector, vector embeddings, semantic/vector search, and RAG retrieval and indexing patterns.
- Experience deploying Python/FastAPI applications on Azure Kubernetes Service, with containers/Docker and cloud-native application development.
- Understanding of LLM hallucination, grounding, context management, guardrails, evaluation, scalability, latency, cost, security, and reliability tradeoffs.
- Familiarity with Azure identity, secrets management, monitoring, and enterprise security patterns.
- Ability to translate business requirements into maintainable AI architectures and enterprise product capabilities.
- Experience collaborating across engineering, architecture, product, QA, DevOps, business, and operations teams.
- Experience building internal developer, infrastructure, automation, operations, or knowledge-management AI products is preferred.
Benefits
- Comprehensive benefits package including 401(k) and pension, medical, dental, vision, spending accounts, disability coverage, paid time off, parental and caregiver leave, life and accident insurance, and voluntary and well-being benefits.
- Discretionary bonus program that may include an equity component.
- Flexible and collaborative work culture with internal mobility and accessible senior leaders.
- Inclusive workplace and community philanthropy programs.
- Applicants must be authorized to work in the U.S. without current or future employment-based visa sponsorship.
Tech Stack
Categories
About Northern Trust
Northern Trust is a financial services company that provides asset servicing (custody and fund administration), asset management, wealth management, and banking/treasury services to institutions, corporations, and affluent families. Its business model centers on fees for assets under custody/administration and management, plus banking services. Founded in 1889 and headquartered in Chicago, it is publicly traded on Nasdaq (NTRS) and serves clients across the Americas, EMEA, and APAC.