AI Engineer

MAS Global Consulting • Plano, TX

15d • Onsite

About The Position

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.

Requirements

• 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

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Senior