NEW JOB OPENING
SENIOR GENERATIVE AI ENGINEER
IN Plano, TX, USA!

***Only qualified Sr AI Engineer candidates located near Plano TX to be considered due to the position requiring an onsite presence. ***



Required Skills, Experience, & Abilities:

Core Software Engineering

• 8+ years of experience in software engineering with strong expertise in Python.

• Hands-on experience designing and developing microservices-based architectures using FastAPI or similar Python frameworks.

• Experience building scalable, secure, and production-grade APIs.



Cloud & Data Platforms

• Strong experience with Microsoft Azure, including AI, data, and application services.

• Expertise in MongoDB and NoSQL database design, optimization, and data modeling.

• Experience deploying and managing cloud-native applications and containerized workloads.



Generative AI & Agentic Systems

• Proven experience developing Generative AI solutions using modern LLM frameworks.

• Hands-on experience building AI Agents, multi-agent systems, and autonomous workflows.

• Strong understanding of Retrieval-Augmented Generation (RAG) architectures, including:

o Knowledge RAG

o Graph RAG

o Hybrid retrieval systems

o Context-aware retrieval pipelines

• Experience designing enterprise knowledge bases, semantic search solutions, and context-building frameworks.



Large Language Models

• Strong understanding of Large Language Models (LLMs) and Small Language Models (SLMs).

• Experience with model selection, prompt engineering, grounding strategies, fine-tuning approaches, and inference optimization.

• Familiarity with model performance, latency, cost optimization, and governance considerations.



AI Evaluation & Observability

• Hands-on experience implementing Agentic Evaluation frameworks, including tools such as DeepEval.

• Experience designing evaluation metrics for:

o Retrieval quality

o Hallucination detection

o Answer relevance

o Agent task completion

o Safety and reliability

• Experience with AI observability and monitoring platforms, particularly Arize AI, for production monitoring, tracing, and model performance analysis.



Must have existing hands on experience with:

• Azure AI Foundry

• Azure OpenAI Service

• Semantic Kernel

• LangGraph

• Neo4j or Graph Databases

• Vector Databases (Azure AI Search, Pinecone, Weaviate, Qdrant)

• Kubernetes and Docker

• GitHub Actions / Azure DevOps



Desired Skills, Experience, & Abilities:

• Experience with vector databases and embedding models.

• Familiarity with LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similar AI orchestration frameworks.

• Experience building enterprise AI applications with governance, security, and compliance considerations.

• Knowledge of MLOps/LLMOps practices, CI/CD pipelines, and model lifecycle management.

• Experience working in Agile product development environments.





Role:

Targeted for a Sr. Generative AI Engineer (7-10+ years experience)



Responsibilities

• Design and develop scalable AI-powered microservices and APIs using Python and FastAPI.

• Build and maintain enterprise-grade RAG and Graph RAG solutions.

• Develop intelligent agentic workflows that leverage organizational knowledge and business context.

• Optimize knowledge retrieval, context orchestration, and response quality for AI applications.

• Implement evaluation frameworks and monitoring solutions using DeepEval and Arize.

• Deploy, monitor, and maintain AI applications on Azure.

• Collaborate with product, engineering, and business teams to translate use cases into production-ready AI solutions.