Senior GenAI Engineer — Onsite Plano (Contract)

Siri InfoSolutions Inc; Plano (TX); On-site; USD 180,000 - 240,000; Part time

Job summary

Siri InfoSolutions Inc in Plano, TX is seeking a Sr. GenAI Engineer to lead the design, development, and deployment of next‑generation AI systems onsite.

You will bridge research and production largely across multi-agent architectures and cutting-edge retrieval-augmented generation pipelines. Ideal candidates have 5+ years of software engineering with 2+ years in Generative AI, deep Python and data‑science library skills, and hands‑on experience with LangChain, PyTorch, and cloud AI infra (AWS

Qualifications

• 5+ years of professional software engineering experience, with a minimum of 2+ years dedicated exclusively to building and deploying Generative AI solutions.
• Mastery of Python and data science libraries (NumPy, Pandas, Scikit-learn).
• Advanced proficiency with LangChain, LangGraph, LlamaIndex, Hugging Face Transformers, and Deep Learning frameworks (PyTorch).
• Deep understanding of OpenAI, Anthropic, Google Gemini, Ollama, Llama ecosystems.
• Strong experience with relational databases, NoSQL, and specialized vector search engines.
• Experience with cloud AI infrastructure (AWS Bedrock, Azure OpenAI, or GCP Vertex AI) and containerization (Docker, Kubernetes).

Responsibilities

• Lead design, development and deployment of AI systems.
• Orchestrate multi-agent architectures and RAG pipelines.
• Fine-tune large models to solve complex business problems.

Skills

Python

NumPy

Pandas

Scikit-learn

LangChain

LangGraph

LlamaIndex

Transformers

PyTorch

OpenAI

Anthropic

Gemini

Ollama

Llama

Databases

NoSQL

Vector search

AWS Bedrock

Azure OpenAI

GCP Vertex AI

Docker

Kubernetes

Tools

Docker

Kubernetes

AWS Bedrock

Azure OpenAI

GCP Vertex AI

Job description

Siri InfoSolutions Inc in Plano, TX is seeking a Sr. GenAI Engineer to lead the design, development, and deployment of next‑generation AI systems onsite.

You will bridge research and production largely across multi-agent architectures and cutting-edge retrieval-augmented generation pipelines. Ideal candidates have 5+ years of software engineering with 2+ years in Generative AI, deep Python and data‑science library skills, and hands‑on experience with LangChain, PyTorch, and cloud AI infra (AWS