GenAI Engineer

Ascii Group, LLC

Phoenix, AZ, United States

1 day ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Compensation

$120,640.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Distributed Systems Python (Programming Language) Machine Learning Language Modeling Tensorflow TypeScript Google Cloud

+11 more

Pytorch Large Language Models Multi-Agent Systems Generative AI Backend Containerization Kubernetes HuggingFace Virtual Agents Stream Processing Data Pipelines

Job description

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 tradeoffs 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.

Must-Have Skills:

Agentic AI /
Python
TypeScript
Generative AI / LLM
Vector Databases

Requirements

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., Lang Chain, Llama Index, Crew AI), 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