AI Expert/Architect
Job in
Troy, Rensselaer County, New York, 12183, USA
Listed on 2026-10-10
Listing for:
ReqRoute,Inc
Full Time
position Listed on 2026-10-10
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Software Architect, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Job Description: AI Expert/Architect
Location: REMOTE
- Architect and build enterprise-grade Generative AI applications combining LLMs, retrieval, structured data, orchestration, and workflow automation.
- Design agentic systems and multi-step reasoning workflows using Lang Graph or equivalent - with clear control over state, memory, tool invocation, and human-in-the-loop checkpoints.
- Build fault-tolerant orchestration for long-running AI workflows using Temporal or similar platforms.
- Drive reference architectures for model routing, prompt versioning, observability, experimentation, and safe production rollout.
- Establish LLM/agent evaluation frameworks - offline evals, regression suites, trace diagnostics, and quality metrics tied to business outcomes.
- Own full feature development across design, implementation, testing, shipping, and servicing.
- Write and review clean, high-quality code with a focus on performance, scalability, and maintainability.
- Set best practices for AI tooling, service observability, alerting, and incident response.
- Mentor engineers across the team and foster a culture of technical excellence and continuous learning.
- Use AI tools in your daily workflow and advocate evolving best practices to the broader team.
- 15+ years of experience building large-scale distributed systems, platforms, or enterprise applications.
- Proven track record shipping production AI/LLM-powered applications - agentic workflows, RAG systems, or intelligent automation.
- Deep expertise in Generative AI: LLMs (OpenAI), Prompt Engineering, RAG, vector search, and AI agent orchestration.
- Hands-on experience with agent frameworks:
Lang Chain, Lang Graph, Auto Gen, or equivalent. - Frontend and backend background to integrate AI solutions end-to-end into existing applications.
- Strong software engineering fundamentals: system design, algorithms, testing, debugging, and code review.
- Demonstrated ability to lead technical direction and mentor engineers.
- Comfort in ambiguous, fast-moving problem spaces where best practices are still emerging.
- BS, MS, or PhD in Computer Science, Engineering, or equivalent practical experience.
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