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Agentic AI - Developer/Architect Phoenix, AZ; Onsite
Job in
Phoenix, Maricopa County, Arizona, 85044, USA
Listed on 2026-03-06
Listing for:
AceStack
Seasonal/Temporary, Contract
position Listed on 2026-03-06
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Only VISA Independent Candidates - USC/GC only
For Developer/Sr. Developer: 8-10 Years
For Architect: 12-15 Years
Role:
Agentic AI Developer
Location:
Phoenix, AZ (100% Onsite)
Employment Type:
Contract
Job Summary
We are seeking a highly skilled Agentic AI Developer to design, build, and optimize autonomous AI agent workflows for enterprise applications. The ideal candidate will have hands-on experience with LLMs, agentic frameworks, multi-step reasoning pipelines, orchestration tools, and integration of external systems/APIs
. This role requires strong practical implementation capabilities - not just experimentation.
Key Responsibilities
- Design and develop autonomous AI agent workflows for decision-making, task coordination, and reasoning.
- Build and optimize LLM-driven agents capable of planning, tool usage, retrieval, and iterative improvement.
- Integrate agents with APIs, enterprise applications, knowledge bases, and vector databases
. - Implement RAG (Retrieval-Augmented Generation) and prompt-chaining workflows for accuracy and reliability.
- Evaluate multiple LLMs and frameworks to determine optimal model performance for different use cases.
- Debug hallucinations, improve reasoning quality, and enhance agent reliability.
- Collaborate with cross-functional engineering, product, and data teams to implement end-to-end agent workflows.
- 9-12+ years of software development experience (Python preferred).
- 2-5+ years hands-on experience with LLMs and Generative AI solutions.
- Strong experience with Agentic AI frameworks (e.g., Lang Chain Agents, Auto Gen, CrewAI, ReAct, Function Calling frameworks, or similar).
- Experience building RAG pipelines using Vector DBs (Pinecone, Weaviate, Chroma, FAISS, Elastic, etc.).
- Proficiency with OpenAI, Anthropic, Gemini, or Llama model APIs.
- Hands-on experience with orchestration tools
:
Azure OpenAI, Hugging Face, Llama Index, Databricks Model Serving, Ray, or Airflow. - Understanding of tool-use reasoning, multi-step planning, and agent feedback loops
. - Strong debugging skills to reduce hallucinations & improve reliability of agent workflows.
- Experience building enterprise copilots or workflow automation with AI
. - Knowledge of MLOps
, CI/CD pipelines, and model deployment best practices. - Experience with API integrations, microservices, and event-driven systems
.
- Location: Phoenix, AZ
- Schedule: Onsite, 5 days/week
- Type: Contract
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