Full Stack AI Engineer

MAS Global Consulting, LLC; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

MAS Global Consulting is seeking a Senior AI/ML Full Stack Engineer to design and deliver production-grade AI applications using Java or Python. You will work across RAG architectures, LLM orchestration, and CI/CD on AWS, shaping end-to-end solutions in a fast-paced in-office environment.

You will contribute to guardrails, evaluation frameworks, and content filtering, while building scalable APIs, microservices, and AI-powered experiences across the stack.

Qualifications

• Bachelor's degree required.
• 10+ years software development experience in Java or Python.
• 7+ years full-stack + Agentic AI development experience.
• 2+ years hands-on production AI/ML applications.
• Strong proficiency with RAG architectures and vector stores.
• Experience with AI orchestration frameworks (LangChain/LlamaIndex/Semantic Kernel/CrewAI).
• Hands-on with AWS Bedrock and Claude models.
• Proven prompt engineering and guardrails practices.

Responsibilities

• Design and build AI/ML applications end-to-end from architecture to production deployment.
• Implement RAG pipelines with chunking, embeddings, and vector store integration.
• Build AI agents using frameworks like LangChain, LlamaIndex, Semantic Kernel, or CrewAI.
• Develop and deploy solutions on AWS Bedrock and Claude model APIs.
• Apply prompt engineering techniques: system prompts, few-shot, structured outputs.
• Create conversational AI experiences: chatbots and voicebots.
• Design and maintain REST/GraphQL APIs, microservices, and event-driven systems.
• Own CI/CD pipelines, containerization (Docker, ECS/EKS), and IaC for production.

Skills

Java or Python

AI/ML development

RAG architectures

LLM orchestration

CI/CD on AWS

APIs & microservices

Prompt engineering

Education

Bachelor's degree

Tools

Pinecone

OpenSearch

pgvector

FAISS

LangChain

LlamaIndex

Semantic Kernel

CrewAI

AWS Bedrock

Anthropic Claude

Job description

Location: Plano, TX — Onsite, 5 days/week (

Who We Are

At MAS Global Consulting, we are a premium digital engineering partner trusted by innovative startups and Fortune 100 companies, delivering high-impact solutions through agile delivery, deep technical expertise, and a strong people-first culture across the Americas.

We build long-term partnerships, not just software. MAS means "more" in Spanish, and that mindset drives our commitment to greater opportunity, inclusion, and impact.

Founded by a Latina engineer from Medellín and headquartered in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US.

Who You Are

You are a Senior AI/ML Full Stack Engineer who brings deep hands-on experience building production-grade AI applications with Java or Python. You\'ve spent 7-10+ years mastering full-stack development and have moved confidently into agentic AI, RAG architectures, and LLM orchestration. You\'re just as comfortable designing a vector store retrieval pipeline as you are hardening a CI/CD deployment on AWS. You thrive in fast-paced, in-office environments where live coding and hands-on problem solving are part of the culture, and you\'re excited to bring responsible AI practices — guardrails, evaluation frameworks, and content filtering — into everything you build.

What You\'ll Do

• Design and build AI/ML applications end-to-end, from architecture through production deployment
• Implement RAG pipelines, including chunking strategies, embedding models, and vector store integration (Pinecone, OpenSearch, pgvector, FAISS)
• Build and orchestrate AI agents using frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI
• Develop and deploy solutions using AWS Bedrock, Anthropic Claude models, and model invocation APIs
• Apply advanced prompt engineering techniques — system prompts, few-shot, chain-of-thought, tool use, structured outputs
• Build conversational AI experiences, including chatbots (text) and voicebots (speech-to-text, text-to-speech)
• Design and maintain APIs (REST, GraphQL), microservices, and event-driven architectures
• Own CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code for production systems
• Implement evaluation frameworks, guardrails, content filtering, and responsible AI practices across LLM-powered features

What You Bring

• Bachelor\'s degree required
• 10+ years of software development experience (Java or Python), OR 7+ years if entirely full-stack + Agentic AI development experience
• 2+ years hands-on experience building AI/ML applications in production
• Strong proficiency with RAG architectures — chunking strategies, embedding models, vector stores (Pinecone, OpenSearch, pgvector, FAISS)
• Experience with AI orchestration frameworks: LangChain, LlamaIndex, Semantic Kernel, or CrewAI
• Hands-on experience with AWS Bedrock, Anthropic Claude models, and model invocation APIs
• Proven prompt engineering skills — system prompts, few-shot, chain-of-thought, tool use, structured outputs
• Experience building conversational AI: chatbots (text) and voicebots (speech-to-text, text-to-speech)
• Proficiency with AWS services (Lambda, Step Functions, API Gateway, S3, DynamoDB, SQS)
• Experience with CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code
• Strong understanding of API design (REST, GraphQL), microservices architecture, and event-driven systems
• Familiarity with evaluation frameworks for LLM outputs
• Experience with guardrails, content filtering, and responsible AI practices