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 modelsKnowledge of security governance and responsible AI practicesFamiliarity with integrating GenAI solutions into existing applications and servicesDay-to-Day Responsibilities
Design and develop modular GenAI workflows using LangChain and LangGraph to orchestrate complex reasoning and task executionBuild and deploy autonomous AI agents capable of multi-step reasoning, tool usage, and dynamic decision-makingImplement Retrieval-Augmented Generation systems using vector databases and retrievers to enhance contextual relevance and accuracyFine-tune and personalize foundation models using prompt engineering, adapters, and other MCP techniques to align with business-specific use casesCollaborate with engineering teams to integrate GenAI solutions into existing applications and servicesMonitor and optimize model performance, latency, and reliability across various environmentsEnsure responsible AI practices, including data privacy, model integrity, and compliance with internal and external standardsStay current with the latest advancements in GenAI, LLMs, and agentic frameworks to continuously improve solution capabilitiesFor immediate consideration please click APPLY to begin the screening process with Alex.