Senior AI/ML & Generative AI Engineer — Remote LATAM

INSPYR Solutions; United States; Remote; USD 124,000 - 220,000; Full time

Benefits offered by this job

Flexible remote work

Continuous learning

Employee wellbeing

Job summary

INSPYR Solutions is seeking an experienced Senior AI/ML Operations Engineer to lead enterprise-grade AI deployments, from architecture to production support, emphasizing security and governance. The role requires hands-on work with LLMs, RAG, and agent frameworks across cloud platforms.

You will collaborate across business, architecture, data and security teams to deliver scalable, observable AI solutions while ensuring responsible AI guardrails and governance practices are followed.

Qualifications

• Experience delivering AI-enabled solutions using LLMs, RAG, intelligent agents, or comparable Generative AI patterns.
• Ability to design secure, scalable solutions with appropriate evaluation, observability, governance, and Responsible AI controls.
• Strong communication and collaboration skills across business, architecture, engineering, data, security, and platform stakeholders.

Responsibilities

• Demonstrated enterprise application engineering experience, including architecture, integration, testing, deployment, and production support.
• Hands-on experience delivering AI-enabled solutions using LLMs, RAG, intelligent agents, or comparable Generative AI patterns.
• Ability to design secure, scalable solutions with appropriate evaluation, observability, governance, and Responsible AI controls.
• Strong communication and collaboration skills across business, architecture, engineering, data, security, and platform stakeholders.
• Cloud & AI Platforms: Google Cloud Platform, Vertex AI, Gemini models, Azure AI, Azure OpenAI, Anthropic Claude APIs, and OpenAI APIs; GECP experience where applicable
• Agentic AI: LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, or comparable agent frameworks
• Generative AI: LLM endpoints, prompt engineering, embeddings, vector databases, RAG, evaluation, guardrails, and model optimization
• Enterprise Engineering: REST APIs, microservices, event-driven architectures, enterprise integration patterns, and secure application design
• Developer Productivity: Claude Code, GitHub Copilot, Microsoft Copilot, Gemini Code Assist, GitHub, and Azure DevOps

Skills

Enterprise engineering

Gen AI patterns

Governance & security

Cross-functional collaboration

Cloud platforms familiarity

Tools

Google Cloud Platform

Vertex AI

Azure OpenAI

LangGraph

LangChain

Semantic Kernel

CrewAI

AutoGen

GitHub Copilot

Gemini Code Assist

Azure DevOps

Job description

INSPYR Solutions is seeking an experienced Senior AI/ML Operations Engineer to lead enterprise-grade AI deployments, from architecture to production support, emphasizing security and governance. The role requires hands-on work with LLMs, RAG, and agent frameworks across cloud platforms.

You will collaborate across business, architecture, data and security teams to deliver scalable, observable AI solutions while ensuring responsible AI guardrails and governance practices are followed.