Technology Architect / Senior AI Engineer (Applied AI) Location: Blaine, MN * Bachelor's degree in related field. Agentic Workflows & Memory Systems: * Stateful Orchestration: Building and debugging ...
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Technology Architect / Senior AI Engineer (Applied AI) Location: Blaine, MN * Bachelor's degree in related field. Agentic Workflows & Memory Systems: * Stateful Orchestration: Building and debugging ...
Senior Full Stack Developer
Irving, TX · On-site
Hi, Our client is looking for a Senior Full Stack Developer in Irving, TX location below is the ... Design, develop, and support AI-enabled full-stack applications using modern web technologies and ...
Senior Full Stack Developer
Irving, TX · On-site
Hi, Our client is looking for a Senior Full Stack Developer in Irving, TX location below is the ... Design, develop, and support AI-enabled full-stack applications using modern web technologies and ...
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Job description
Hi,
Our client is looking for Technology Architect / Senior AI Engineer (Applied AI) in Blaine, MN location below is the detailed requirements,
Job Title: Technology Architect / Senior AI Engineer (Applied AI)
Location: Blaine, MN
Job Description:
Agentic Workflows & Memory Systems:
Data & Retrieval Infrastructure
Production Reliability & Performance
Qualifications:
Our client is looking for Technology Architect / Senior AI Engineer (Applied AI) in Blaine, MN location below is the detailed requirements,
Job Title: Technology Architect / Senior AI Engineer (Applied AI)
Location: Blaine, MN
Job Description:
- Bachelor's degree in related field.
Agentic Workflows & Memory Systems:
- Stateful Orchestration: Building and debugging production-grade, cyclic multi-agent workflows and state machines.
- Context & Memory Engineering: Implementing multi-layered memory architectures including short-term memory for active turn execution, long-term memory for cross-session state persistence, and episodic summarization to manage token context windows.
- Tool Call Management: Designing dependable function-calling patterns equipped with automated retry logic and self-correction handlers.
Data & Retrieval Infrastructure
- Vector & Relational Storage: Managing relational metadata schemas and executing optimized semantic vector similarity searches inside a combined relational database layer.
- Document Persistence: Utilizing document-store databases to store unstructured execution payloads, dynamic agent states, and raw chat logs.
- Hybrid RAG Pipelines: Combining relational/exact-match queries with vector-space searches for high-precision retrieval.
Production Reliability & Performance
- Granular Tracing: Instrumenting end-to-end tracing to monitor agent execution steps, debug non-deterministic loops, and track token costs.
- Automated Evals: Creating programmatic evaluation testing and scoring frameworks to benchmark agent accuracy before production deployment.
- Core Backend Development: Writing clean, concurrent, asynchronous Python code to handle high-throughput foundation model APIs
- Drive enterprise grade agentic AI architecture for a global organization by designing scalable agent frameworks, data infrastructure, and governance models that power secure and reliable AI agents in a hybrid work setup.
- Collaborate with cross functional teams to configure AI agent lifecycles and ensure robust alignment with business objectives while maintaining strong compliance and ethical standards.
Qualifications:
- Demonstrate extensive experience in AI agent lifecycle configuration with the ability to describe and implement practical processes for designing monitoring and iterating on agent behavior in complex environments.
- Possess strong hands-on expertise with AI agent frameworks and AI agent engineering applying structured design patterns and implementation techniques to deliver robust scalable and maintainable agent-based solutions.
- Show deep proficiency in AI agent data infrastructure design including event driven architectures metadata management and secure data pipelines that sustain reliable operation of advanced agentic AI systems.
- Exhibit solid understanding of agentic AI governance principles and practices with experience translating ethical regulatory and organizational requirements into actionable controls and standards for AI agents.
About Lorven technologies
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Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Plainsboro, NJ, US
Year founded
2001