Title: Generative AI Engineer
Location: Richardson, TX
Salary Range: $51/hr.
Introduction
We are seeking a highly skilled and experienced professional to design and implement intelligent systems using cutting-edge GenAI frameworks.
The ideal candidate will have deep expertise in Python, LangChain, LangGraph, AI agents, Retrieval-Augmented Generation (RAG), and Model Customization Personalization (MCP).
You will be responsible for building scalable, modular, and context-aware AI solutions that drive innovation across our enterprise platforms.
Required Skills & Qualifications
(Must-have qualifications that candidates must meet to be considered)
- Applicants must be able to work directly for Artech on W2
- Bachelor’s degree
- Minimum of 5+ years of experience in AIML engineering, with hands-on expertise in GenAI technologies
- 5+ years of experience in Python
- 4+ years of experience in Generative AI
- Experience with LangChain, LangGraph, and vector databases (e.g., FAISS, Pinecone, Weaviate)
- Strong understanding of AI agent frameworks and orchestration strategies
- Experience implementing RAG architectures and integrating external knowledge sources
- Familiarity with MCP techniques, including prompt tuning, LoRA, and adapter-based fine-tuning
- Experience with LLMs (e.g., OpenAI, Anthropic, HuggingFace models)
- Excellent problem-solving and communication skills
Preferred Skills & Qualifications
(Nice-to-have skills but are not required)
- Experience with performance optimization of AI models
- Knowledge of security governance and responsible AI practices
- Familiarity with integrating GenAI solutions into existing applications and services
Day-to-Day Responsibilities
- Design and develop modular GenAI workflows using LangChain and LangGraph to orchestrate complex reasoning and task execution
- Build and deploy autonomous AI agents capable of multi-step reasoning, tool usage, and dynamic decision-making
- Implement Retrieval-Augmented Generation systems using vector databases and retrievers to enhance contextual relevance and accuracy
- Fine-tune and personalize foundation models using prompt engineering, adapters, and other MCP techniques to align with business-specific use cases
- Collaborate with engineering teams to integrate GenAI solutions into existing applications and services
- Monitor and optimize model performance, latency, and reliability across various environments
- Ensure responsible AI practices, including data privacy, model integrity, and compliance with internal and external standards
- Stay current with the latest advancements in GenAI, LLMs, and agentic frameworks to continuously improve solution capabilities
For immediate consideration please click APPLY to begin the screening process with Alex.