Senior AI Engineer

Siri InfoSolutions Inc; Phoenix (AZ); On-site; USD 170,000 - 250,000; Full time

Job summary

Siri InfoSolutions Inc in Phoenix, AZ seeks a Senior AI Engineer to architect and implement AI-driven IVR and conversational systems using Python, and to build NLP models for intent detection and call routing. You will design LLM workflows, lead multi-step agentic AI processes, and establish LLMOps practices across platforms.

You will mentor offshore and junior engineers, collaborate with cross-functional teams, and drive data analysis with SQL while advancing state-of-the-art NLP techniques in

Qualifications

• 12+ years of experience in AI/ML.
• Very strong proficiency in Python.
• Proven expertise in NLP, including text classification and clustering.
• Hands-on experience with LLMs: prompt engineering, evaluation frameworks, and RAG.
• Strong data analysis experience using SQL.
• Experience with agentic AI and multi-agent orchestration (Good to Have).
• Experience with LLMOps / MLOps in production environments (Good to Have).
• Cloud experience (Good to Have).

Responsibilities

• Architect and develop AI-driven IVR and conversational systems using Python.
• Build NLP models for text classification and clustering to support intent detection and call routing.
• Perform data analysis using SQL.
• Design and deploy LLM workflows (prompt engineering, RAG, evaluation) for voice and chat use cases.
• Lead development of agentic AI workflows for multi-step customer interactions.
• Establish LLMOps best practices, including monitoring, evaluation, and lifecycle management.
• Partner with IVR platform, speech engineering, and product teams.
• Mentor offshore and junior AI engineers.

Skills

Python

NLP

SQL

LLMs

Cloud experience

Tools

NumPy

Pandas

Scikit-learn

XGBoost

spaCy

Transformers

NLTK

Sentence-Transformers

LangChain

LlamaIndex

OpenAI SDK

LangGraph

AutoGen

CrewAI

Oracle

MySQL

SQLAlchemy

FAISS

Pinecone

Weaviate

Qdrant

MLflow

Weights & Biases

BentoML

Airflow

Job description

Senior AI Engineer

Key Responsibilities

• Architect and develop AI-driven IVR and conversational systems using Python
• Build NLP models for text classification and clustering to support intent detection and call routing
• Perform data analysis using SQL
• Design and deploy LLM workflows (prompt engineering, RAG, evaluation) for voice and chat use cases
• Lead development of agentic AI workflows for multi-step customer interactions
• Establish LLMOps best practices, including monitoring, evaluation, and lifecycle management
• Partner with IVR platform, speech engineering, and product teams
• Mentor offshore and junior AI engineers

Required Skills & Experience

• 12+ years of experience in AI / ML
• Very strong proficiency in Python
• Proven expertise in NLP, including:
• Text classification
• Clustering
• Strong experience in data analysis using SQL
• Hands-on experience with LLMs:
• Prompt engineering
• Evaluation frameworks
• Retrieval-Augmented Generation (RAG)

Good to Have

• Experience with Agentic AI and multi-agent orchestration
• Experience with LLMOps / MLOps in production environments
• Cloud Experience

Libraries & Tools

• Python / ML: NumPy, Pandas, Scikit-learn, XGBoost
• NLP: spaCy, Hugging Face Transformers, NLTK, Sentence-Transformers
• LLM Frameworks: LangChain, LlamaIndex, OpenAI SDK
• Agentic AI (Good to Have): LangGraph, AutoGen, CrewAI
• Data & SQL: Oracle, MySQL, SQLAlchemy
• Vector Databases: FAISS, Pinecone, Weaviate, Qdrant
• LLMOps / MLOps (Good to Have): MLflow, Weights & Biases, BentoML, Airflow