Résumé du poste par JobGrid
Sr. AI Systems Engineer at finquery: Atlanta, États-Unis; Sur site. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Atlanta, États-Unis, Sur site
- Source freshness: checked by JobGrid on 2026-05-30.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Solve the Problems That Matter Most
- The Sr. AI Systems Engineer is a technically sophisticated individual contributor responsible for designing, developing, and deploying agentic AI tools and autonomous workflows that eliminate manual bottlenecks and unlock operational leverage across the organization. This role sits at the intersection of software engineering and AI/LLM architecture—translating complex business processes into intelligent, self-executing systems. The AI Systems Engineer brings deep engineering instincts to a fast-evolving toolset, building solutions that are not only functional but observable, maintainable, and aligned to strategic priorities.
How You'll Make an Impact:
Design and develop agentic AI workflows using LLM orchestration frameworks while implementing planning, reflection, and tool-use patterns
Architect and build system integrations connecting AI agents to internal APIs, databases, and third-party SaaS platforms
Develop and maintain Human-in-the-Loop (HITL) checkpoints and escalation logic to surface agentic decisions for human validation
Implement observability and feedback loops within deployed agents to capture performance signals, exception rates, and decision traces
Analyze existing technical workflows to identify automation opportunities and produce engineering-ready specifications
Contribute to documentation standards for agentic systems including technical specs, architecture diagrams, and runbooks
Partner with internal stakeholders to translate operational pain points into technical requirements
Conduct all business in accordance with company policies and procedures
Perform all other duties as assigned
The Expertise You'll Bring:
Typically requires a minimum of 3 years of related experience with a Bachelor's degree or 2 years with a Master's degree
Preferred 3+ years in software or systems engineering with at least 1 year focused on LLM-based automation or agentic system design
Bachelor's degree in Computer Science, Software Engineering, or a related technical field preferred
Proficiency in Python and at least one LLM orchestration framework such as LangChain, LlamaIndex, or CrewAI
Strong API integration skills across REST and GraphQL including comfort with various authentication patterns
Working knowledge of prompt engineering, retrieval-augmented generation (RAG), and tool/function calling patterns
Experience with SQL and NoSQL databases including schema design for agentic memory and state management
Familiarity with cloud environments and deployment patterns for AI workloads
Version control proficiency using Git with disciplined branching and documentation practices
Ability to decompose complex processes into discrete and testable automation components
Experience designing observability into systems including logging, alerting, and performance tracking
Ability to communicate technical architecture and tradeoffs clearly to non-technical stakeholders
Comfort working across functions to gather requirements and iterate on agent behavior