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
Fintech • Financial Services
Architects and develops AI-powered systems, tools, agents, backend services, APIs, and experimentation frameworks using foundational AI models. Integrates AI capabilities with microservices, AWS, Snowflake, and complex data systems while ensuring scalability, reliability, and maintainability. Translates business problems into technical solutions, prototypes AI applications, collaborates with product and engineering teams, evaluates emerging AI technologies, and documents system designs and integration patterns.
Top Skills:
APIsAWSAws BedrockClaudeContainer OrchestrationGoHugging FaceLangchainMicroservicesOpenaiPythonRubySnowflakeVector Databases
Cloud • Information Technology • Security • Software • Cybersecurity
Build and manage customer relationships, drive sales opportunities, and represent Zscaler’s Zero Trust Exchange and cloud security platform. This posting is for consideration for future Sales Account Executive opportunities in the East region. The role operates within a collaborative, customer-focused, inclusive organization and may follow Zscaler’s hybrid work model.
Top Skills:
AICloud SecuritySaseZero Trust Exchange
Insurance
Leads sales coaching and field excellence for an insurance distribution team. Builds competency models, coaching cadences, learning pathways, onboarding programs, and performance feedback systems. Provides direct coaching through call reviews, ride-alongs, and group sessions, integrates agent and competitive insights, manages a growing coaching team, and partners with Marketing, Product, Enablement, and Distribution leadership on launches and agency onboarding.
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
