> Markdown version of [/jobs/ext/624725-ai-ml-full-stack-engineer](https://www.wearedevelopers.com/jobs/ext/624725-ai-ml-full-stack-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Full Stack Engineer - **Company:** THE JUDGE GROUP, INC. - **Location:** Plano, TX, United States - **Experience:** Expert - **Salary:** $187,200.0 - $197,600.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Engineering, Amazon DynamoDB, Python (Programming Language), Machine Learning, Software Engineering, Speech Recognition, Chatbots, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Cloudformation, Event Driven Architecture, Containerization, Performance Monitor, Graphql, Speech Synthesis, Api Gateway, Amazon Simple Queue Service (SQS), Terraform, Docker, Microservices - **Published:** June 12, 2026 - **Apply:** https://www.dice.com/job-detail/a45d3be8-4166-445e-9590-fe6ae2310eb1 ## About the Role This role is ideal for engineers with strong software engineering fundamentals and hands-on experience deploying AI/ML solutions into real-world production environments., * 10+ years of experience in software development (Java or Python) * 2+ years of hands-on experience building AI/ML applications in production environments * Strong experience building and consuming APIs (REST or GraphQL) * Experience with CI/CD pipelines and modern development workflows * Experience working with microservices and event-driven architectures Preferred Qualifications * Deep expertise in RAG (Retrieval-Augmented Generation) architectures, including: + Chunking strategies + Embedding models + Vector databases (Pinecone, OpenSearch, pgvector, FAISS) * Experience with AI orchestration frameworks such as: + LangChain + LlamaIndex + Semantic Kernel + CrewAI * Hands-on experience with: + AWS Bedrock and foundation models (e.g., Anthropic Claude) + Model invocation APIs * Strong proficiency in prompt engineering, including: + System prompts, few-shot learning + Chain-of-thought reasoning + Tool usage and structured outputs * Experience building conversational AI systems: + Chatbots (text-based) + Voicebots (speech-to-text, text-to-speech integration) * Expertise with AWS cloud services: + Lambda, Step Functions, API Gateway + S3, DynamoDB, SQS * Experience with: + Containerization and orchestration (Docker, ECS, EKS) + Infrastructure-as-code (Terraform, CloudFormation, etc.) * Familiarity with: + LLM evaluation frameworks and performance monitoring + Guardrails, safety systems, and responsible AI practices ## Description We are seeking a Senior AI/ML Full Stack Engineer to design and deliver production-grade intelligent applications powered by modern AI/ML and large language model (LLM) technologies. You will play a key role in building scalable systems that leverage retrieval-augmented generation (RAG), conversational AI, and cloud-native architectures. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/videos/950-supercharge-your-cloud-native-applications-with-generative-ai) - [Testing AI Agents: Automated Evaluation for Chatbots & RAG Systems](https://www.wearedevelopers.com/videos/100300-testing-ai-agents-automated-evaluation-for-chatbots-rag-systems) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)