Architect and build scalable AI integrations, including RAG pipelines, agentic workflows, MCP tools, structured extraction, and summarization. Deliver production AI features for procurement workflows, establish evaluation and observability frameworks, implement guardrails, and modernize a monolithic platform toward service-oriented architecture. Define AI engineering standards, collaborate with Product and UX teams, participate in architectural reviews, document solutions, and monitor production performance.
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.
Here are the steps for this process:
Application review/approval > Screening interview with GoFasti's team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.
Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process.
Note for Candidates Approached Directly:
If you were contacted directly by a member of our team and are interested in this opportunity, please do not apply through this link. Instead, reach out to the person who contacted you to coordinate a meeting.
Thank you!
Similar Jobs
.png)
Food • Software
Leads AI-driven revenue enablement programs for sales teams, using call, CRM, pipeline, and performance data to identify execution gaps and build workflows that improve rep productivity and behavior. Owns product launch enablement, everboarding, skills development, manager coaching, certifications, and process adoption. Measures impact through adoption, win rate, ACV, pipeline conversion, ramp time, and productivity metrics while partnering with Sales, Product Marketing, RevOps, and senior executives.
Top Skills:
ClaudeGong AiGptNotion Ai
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Own the multi-year technical strategy and architecture for Coinbase’s enterprise IAM platform spanning human, AI agent, service, and workload identities. Drive adoption across 700+ systems, establish authentication and authorization standards, lead migrations and build-versus-buy decisions, automate audit and regulatory controls, reduce standing privilege, and mentor senior engineering talent. Partner across Security, Compliance, IT, Infrastructure, and product teams while influencing technical direction without direct authority.
Top Skills:
AWSDistributed SystemsGenerative AiGoIamOauth 2.0OidcSAMLScimWorkload Identity Federation
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design, build, and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, and test reliability while owning services end to end, including SLOs, observability, and on-call responsibilities. Partner with engineering teams to address platform pain points and lead cross-cutting technical projects through production.
Top Skills:
Build SystemsCi/CdDeployment OrchestrationObservabilitySlosTest Infrastructure
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
