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.
Required Skills & Experience
- 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. LangChain Agents AutoGen 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 LlamaIndex 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.
Good to Have
- 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.
Work Environment
- Location: Phoenix AZ
- Schedule: Onsite 5 days/week
- Type: Contract
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 o...
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.
Required Skills & Experience
- 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. LangChain Agents AutoGen 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 LlamaIndex 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.
Good to Have
- 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.
Work Environment
- Location: Phoenix AZ
- Schedule: Onsite 5 days/week
- Type: Contract
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