1061- AI/RAG Engineer

GoFasti; Argentina; Remote; ARS 59,211,000 - 76,128,000; Full time

Job summary

GoFasti is seeking an English-fluent AI/RAG Engineer based in Latin America for remote work. You will architect scalable AI integration patterns, deliver AI-powered features in procurement workflows, and maintain high standards for testing, observability, and security.

Collaboration with Product and UX will be essential to build practical, user-centered AI solutions. Ideal candidates have 3–5 years in software engineering with AI/LLM experience, strong Python/Node.js skills, and familiarity with

Qualifications

• 3–5 years of software engineering experience with exposure to AI/LLM-based solutions.
• Hands-on experience with LLM integrations (RAG, prompting, summarization, or structured data extraction).
• Proficiency in Python, Node.js, and building APIs and scalable services.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Familiarity with vector databases or retrieval systems (Pinecone, FAISS).
• Understanding of modular or service-oriented architectures.
• Experience with monitoring, logging, and production system performance.
• Ability to collaborate with cross-functional teams to translate business needs into tech solutions.

Responsibilities

• Architect scalable AI integration patterns (RAG pipelines, agentic workflows) that can be reused across the platform.
• Design and deliver production-grade AI features embedded within procurement workflows.
• Define evaluation frameworks, observability, and guardrails for model quality and cost governance.
• Partner with architecture leadership to evolve the platform toward modular, service-oriented capabilities.
• Establish engineering standards for AI systems, including testing, prompt/versioning, and lifecycle practices.
• Collaborate with Product, UX and domain experts to ensure AI solutions address real user problems.
• Contribute to architectural reviews and design sessions to align with long-term modernization goals.
• Utilize PlanetBids AI tools to improve efficiency in your role.
• Produce clear technical documentation to support maintainability.

Skills

AI/LLM

Python

Node.js

APIs

Cloud platforms

Vector databases

Pinecone

FAISS

Modular architecture

LLM integration

Job description

We Make Remote Work Remarkable TopTalent from LatAm Hello! We are GoFasti , a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe. We need an English-fluent AI/RAG Engineer , based in Latin America, available to work remotely. We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills. Are you the one we are looking for?

Responsibilities

• Architect and implement scalable AI integration patterns (RAG pipelines, agentic workflows, MCP tools, structured extraction, summarization, compliance intelligence) that can be reused across the platform
• Design and deliver production-grade AI-powered features embedded within mission-critical procurement workflows, including internal tooling
• Define and implement evaluation frameworks, observability, and guardrails to ensure model quality, cost governance, security, and compliance
• Partner with architecture leadership to evolve our legacy monolithic platform toward more modular, service-oriented capabilities
• Establish engineering standards for AI systems, including testing strategies, prompt/version management, model lifecycle practices, and performance monitoring
• Collaborate cross-functionally with Product, UX and domain subject matter experts (internal and external) to ensure AI solutions solve real user problems
• Contribute to architectural reviews and technical design sessions to ensure alignment with long-term platform modernization goals
• Use PlanetBids issued AI tools and platforms to seek efficiencies in your role
• Produce clear technical documentation to support maintainability and knowledge sharing.

Requirements

• 3–5 years of software engineering experience, with exposure to AI/LLM-based solutions
• Hands-on experience with LLM integrations (e.g., RAG, prompt engineering, summarization, or structured data extraction)
• Proficiency in Python, Node.js, or similar, with experience building APIs and scalable services
• Experience with cloud platforms (AWS, GCP, or Azure)
• Familiarity with vector databases or retrieval systems (e.g., Pinecone, FAISS, etc.)
• Solid understanding of modular or service-oriented architectures
• Experience with monitoring, logging, and system performance in production environments
• Ability to collaborate with cross-functional teams and translate business needs into technical solutions.

Compensation

• The Salary range offered for this position varies from (USD) $3,500 - $4,500 per month, depending on seniority and skillset.
• This position is for an independent contractor, through a payroll platform.
• The talent will work REMOTELY allocated at our client.