Job Title: AI Engineer Location: - Phoenix, AZ ( Need only local Candidate who is willing to come to in-person interview) Duration: 6 months
AI Engineer – Agentic AI, Node JS
Technical Skills:
6+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure, async processing, queues, and streaming systems
Experience working on Typescript and Python, Gen AI, Agentic AI.
Advanced proficiency in Python, Hands-on experience with PyTorch, TensorFlow, Hugging Face.
Practical knowledge of model orchestration frameworks (e.g., LangChain, Llama Index, CrewAI), Familiarity with vector databases.
Experience with cloud platforms (AWS, Azure AI, Google Cloud Vertex AI) and containerization technologies
Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
Fluency with AI-assisted and agentic development workflows.
Ability to influence technical direction and align teams without formal authority.
Problem-solving, cross-functional collaboration, and the ability to articulate complex AI concepts to non-technical business stakeholders
Key Responsibilities:
Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.
Design, build, and operate production-grade agentic AI systems used across multiple products.
Own and evolve shared agentic AI capabilities, including:
Design and Develop Agent frameworks and orchestration layers
Planning, tool use, and memory strategies
Design Retrieval and grounding (RAG) pipelines
LLM infrastructure, inference, and model gateways
Evaluation, observability, and safety tooling for autonomous systems
Lead technical design reviews and help teams navigate trade-offs involving autonomy, safety, reliability, scalability, and cost.
Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production.
Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.
Role Descriptions:
Technical and Functional Skills 10 years of experience building large-scale distributed systems and strong experience with LLM systems| agentic workflows or advanced ML infrastructure AI engineers with recent NodeJS JavaScript Typescript experience.
Proven ownership of complex| cross-cutting agentic systems spanning multiple teams or products.
Strong engineering fundamentals across backend systems| APIs| data pipelines| and cloud infrastructure.
Deep experience across the agentic AI stack| including planning| tool use| memory| and evaluation.
Fluency with AI-assisted and agentic development workflows.
Comfort operating in ambiguous problem spaces and translating them into shipped| reliable autonomous systems.
Ability to influence technical direction and align teams without formal authority.
Experience in workflow engines| async processing| queues| and streaming systems.
Languages: NodeJS JavaScript Typescript Python| Go
APIs and services: REST| gRPC
Cloud and infrastructure: AWS and or GCP| Kubernetes
Distributed systems: event-driven architectures| including Kafka
Orchestration Frameworks: LangGraph| LangChain| Airflow| etc Integration of commercial and open-source LLMs into agentic workflows Agent and orchestration frameworks such as LangChain| Llama Index| Semantic Kernel| or CrewAI| with strong judgment about when to use frameworks versus building lighter-weight primitives Model-level work using PyTorch and the Hugging Face ecosystem (embeddings| fine-tuning| inference tooling)| with some exposure to TensorFlow Strong schema| validation| and state management practices using tools such as Pydantic Python and Zod TypeScript.
Experience building agentic systems in fintech or other regulated industries.
Experience as a founding engineer or early technical leader in AI-driven products.
Demonstrated success delivering technically complex autonomous systems that customers actively rely on. Meaningful contributions to open-source AI or agentic frameworks.
Familiarity with fine-tuning| model optimization and inference pipelines is a plus.
Numbers & Facts
Location
Phoenix, AZ
Skills
Amazon Web Services (AWS)unmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Cloud Computingunmatched
Communication Skillsunmatched
Cross-Functionalunmatched
Data Managementunmatched
Distributed Computingunmatched
Ecosystemsunmatched
GCP (Good Clinical Practices)unmatched
JavaScriptunmatched
Kernel Programmingunmatched
Large-Scale Systemsunmatched
Machine Toolunmatched
Memory Hardwareunmatched
Microsoft Windows Azureunmatched
Node.jsunmatched
Open Sourceunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
REST (Representational State Transfer)unmatched
Team Playerunmatched
Technical Deliveryunmatched
Technical Leadershipunmatched
Technical/Engineering Designunmatched
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