1061- AI/RAG Engineer

GoFasti; United States; Remote; USD 39,000 - 50,000; Part time

Benefits offered by this job

Independent contractor engagement

Job summary

GoFasti is seeking a remote software engineer to build AI-driven features for procurement workflows. You will hands-on develop RAG pipelines and agentic workflows while contributing to platform-level evaluation, observability, and engineering standards.

You will partner with architecture leaders to evolve a monolithic platform toward modular, service-oriented capabilities and deliver production-grade AI tooling across the stack. Collaboration with Product and UX is essential.

Qualifications

• Three to five years of software engineering experience with exposure to AI or LLM-based solutions.
• Hands-on experience with LLM integrations such as RAG, prompt engineering, summarization, or structured data extraction.
• Proficiency in Python, Node.js, or similar languages, with experience building APIs and scalable services.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with vector databases or retrieval systems, for example Pinecone or FAISS.
• Solid understanding of modular or service-oriented architectures, plus monitoring, logging, and production performance.

Responsibilities

• Architect and implement reusable AI integration patterns, including RAG pipelines, agentic workflows, MCP tools, structured extraction, summarization, and compliance intelligence.
• Design and ship production-grade AI features embedded in mission-critical procurement workflows and supporting internal tooling.
• Define evaluation frameworks, observability, and guardrails covering model quality, cost governance, security, and compliance.
• Partner with architecture leadership to evolve legacy monolithic systems toward modular, service-oriented capabilities.
• Establish engineering standards for AI systems, including testing strategies, prompt and version management, model lifecycle practices, and performance monitoring.
• Collaborate with Product, UX, and domain subject-matter experts to ensure AI solutions address real user problems, and contribute to architectural reviews and technical design sessions.

Skills

RAG pipelines

Prompt engineering

Structured extraction

Python

Node.js

APIs

Cloud platforms

AWS

GCP

Azure

Vector databases

FAISS

Pinecone

Monitoring

Logging

Service-oriented

Cross-functional

Technical writing

Tools

Pinecone

FAISS

AWS

GCP

Azure

Job description

Role overview

A remote engineering role focused on building and shipping AI-driven features for procurement workflows. The position combines hands‑on development of RAG pipelines and agentic workflows with platform‑level work on evaluation, observability, and engineering standards. The engineer will partner with architecture leaders to evolve a monolithic platform toward modular, service‑oriented capabilities while delivering production‑grade AI tooling.

Responsibilities

• Architect and implement reusable AI integration patterns, including RAG pipelines, agentic workflows, MCP tools, structured extraction, summarization, and compliance intelligence.
• Design and ship production‑grade AI features embedded in mission‑critical procurement workflows and supporting internal tooling.
• Define evaluation frameworks, observability, and guardrails covering model quality, cost governance, security, and compliance.
• Partner with architecture leadership to evolve legacy monolithic systems toward modular, service‑oriented capabilities.
• Establish engineering standards for AI systems, including testing strategies, prompt and version management, model lifecycle practices, and performance monitoring.
• Collaborate with Product, UX, and domain subject‑matter experts to ensure AI solutions address real user problems, and contribute to architectural reviews and technical design sessions.

Requirements

• Three to five years of software engineering experience with exposure to AI or LLM‑based solutions.
• Hands‑on experience with LLM integrations such as RAG, prompt engineering, summarization, or structured data extraction.
• Proficiency in Python, Node.js, or similar languages, with experience building APIs and scalable services.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with vector databases or retrieval systems, for example Pinecone or FAISS.
• Solid understanding of modular or service‑oriented architectures, plus experience with monitoring, logging, and system performance in production environments, and the ability to collaborate cross‑functionally.

Nice to have

• Comfort working with internal AI tools and platforms to streamline personal workflow.
• Strong technical writing skills for maintainable documentation and knowledge sharing.

Benefits and work setup

• Fully remote position based in Latin America.
• Independent contractor engagement through a payroll platform.
• Compensation range of USD $3,500 to $4,500 per month, depending on seniority and skillset.