1175 - Applied AI Engineer
- Posted today · via Greenhouse
Hiring in some regions only
Full Description
<div class="content-intro"><p><strong>We Make Remote Work Remarkable</strong><strong> • TopTalent from LatAm</strong></p> <p><span style="font-weight: 400;">Hello! We are </span><strong>GoFasti, </strong><span style="font-weight: 400;">a Talent-as-a-Service. </span><span style="font-weight: 400;">GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe. </span></p></div><p>We need an English-fluent<strong> Mid Level Applied AI Engineer</strong>, based in Latin America, available to work remotely.<br><br>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.</p><p>Are you the one we are looking for?</p><p><strong>Responsibilities:</strong></p><ul class="tiptap-list-disc"><li><p>Work closely with product teams to help define and execute technical criteria</p></li><li><p>Find high-value uses for AI and define how success is measured</p></li><li><p>Design, build and ship LLM-powered features and agents from prototype to production, such as automating client data onboarding</p></li><li><p>Own retrieval and RAG over our data, building on the foundation our data engineers prepare</p></li><li><p>Build evals and monitoring that track quality, cost and latency, and improve systems based on the results</p></li><li><p>Help refine our customer-facing AI features</p></li></ul><p><strong>Requirements:</strong></p><ul class="tiptap-list-disc"><li><p>Mid-to-senior software engineer who has shipped LLM-based features or agents to production, not only prototypes</p></li><li><p>Production experience in Python (preferred) or Node.js/TypeScript</p></li><li><p>Building with LLMs: prompt and tool design, structured outputs, retrieval/RAG and agent orchestration</p></li><li><p>Evaluating AI systems: eval sets built from representative data, automated graders, human review and production monitoring</p></li><li><p>AWS or another enterprise cloud platform, including its AI services (AWS Bedrock preferred)</p></li><li><p>AI-native development: daily use of agentic AI coding tools, and experience scaling shared AI workflows across a team and into the development lifecycle, including CI/CD</p></li><li><p>Strong English and communication skills</p></li></ul><p><strong>It's a plus:</strong></p><ul class="tiptap-list-disc"><li><p>Agent tool protocols such as MCP</p></li><li><p>SQL and cloud warehouse data (Snowflake preferred)</p></li><li><p>Infrastructure as code (e.g. Terraform)</p></li><li><p>Exposure to energy, utilities or sustainability data</p></li></ul><p><strong>Compensation:</strong></p><ul class="tiptap-list-disc"><li><p>The salary range offered for this position varies from (USD) $4,000 - $5,000 per month, depending on seniority and skillset.</p></li><li><p>This is a 40 hours per week.</p></li><li><p>This position is for a full time contract, through a payroll platform.</p></li><li><p>The talent will work remotely allocated at our client.</p></li></ul><p><strong>Here are the steps for this process:</strong><br><br>TBD <strong>></strong> Application review/approval <strong>></strong> Screening interview with GoFasti's team <strong>></strong> We build and send your profile to our client <strong>></strong> Profile review/approval by client <strong>></strong> Interview with the client <strong>></strong> Hiring and onboarding.</p><div class="content-conclusion"><p>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. </p> <p><strong>Note for Candidates Approached Directly:</strong><br>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. <br><br>Thank you!</p></div>
Why This Role?
GoFasti membuka kesempatan untuk bekerja secara remote dengan tim global.
Key Responsibilities
- Kerjasama dengan tim produk untuk mendefinisikan dan mengeksekusi kriteria teknis
- Mencari penggunaan AI berdaya guna tinggi dan mendefinisikan cara mengukur kesuksesan
- Membangun fitur berbasis LLM dari prototipe hingga produksi
- Mengembangkan sistem evaluasi dan pemantauan untuk memastikan kualitas, biaya, dan latensi
Requirements
- Pengalaman mengembangkan fitur berbasis LLM ke produksi
- Pengalaman dengan Python atau Node.js/TypeScript
- Pengalaman dengan desain prompt dan tool, output terstruktur, dan orchestrasi agen
- Pengalaman dengan evaluasi sistem AI dan pemantauan produksi
- Pengalaman dengan AWS atau platform cloud enterprise lainnya
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
View Original Description from Greenhouse BoardsShow more
Original description from Greenhouse Boards
<div class="content-intro"><p><strong>We Make Remote Work Remarkable</strong><strong> • TopTalent from LatAm</strong></p> <p><span style="font-weight: 400;">Hello! We are </span><strong>GoFasti, </strong><span style="font-weight: 400;">a Talent-as-a-Service. </span><span style="font-weight: 400;">GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe. </span></p></div><p>We need an English-fluent<strong> Mid Level Applied AI Engineer</strong>, based in Latin America, available to work remotely.<br><br>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.</p><p>Are you the one we are looking for?</p><p><strong>Responsibilities:</strong></p><ul class="tiptap-list-disc"><li><p>Work closely with product teams to help define and execute technical criteria</p></li><li><p>Find high-value uses for AI and define how success is measured</p></li><li><p>Design, build and ship LLM-powered features and agents from prototype to production, such as automating client data onboarding</p></li><li><p>Own retrieval and RAG over our data, building on the foundation our data engineers prepare</p></li><li><p>Build evals and monitoring that track quality, cost and latency, and improve systems based on the results</p></li><li><p>Help refine our customer-facing AI features</p></li></ul><p><strong>Requirements:</strong></p><ul class="tiptap-list-disc"><li><p>Mid-to-senior software engineer who has shipped LLM-based features or agents to production, not only prototypes</p></li><li><p>Production experience in Python (preferred) or Node.js/TypeScript</p></li><li><p>Building with LLMs: prompt and tool design, structured outputs, retrieval/RAG and agent orchestration</p></li><li><p>Evaluating AI systems: eval sets built from representative data, automated graders, human review and production monitoring</p></li><li><p>AWS or another enterprise cloud platform, including its AI services (AWS Bedrock preferred)</p></li><li><p>AI-native development: daily use of agentic AI coding tools, and experience scaling shared AI workflows across a team and into the development lifecycle, including CI/CD</p></li><li><p>Strong English and communication skills</p></li></ul><p><strong>It's a plus:</strong></p><ul class="tiptap-list-disc"><li><p>Agent tool protocols such as MCP</p></li><li><p>SQL and cloud warehouse data (Snowflake preferred)</p></li><li><p>Infrastructure as code (e.g. Terraform)</p></li><li><p>Exposure to energy, utilities or sustainability data</p></li></ul><p><strong>Compensation:</strong></p><ul class="tiptap-list-disc"><li><p>The salary range offered for this position varies from (USD) $4,000 - $5,000 per month, depending on seniority and skillset.</p></li><li><p>This is a 40 hours per week.</p></li><li><p>This position is for a full time contract, through a payroll platform.</p></li><li><p>The talent will work remotely allocated at our client.</p></li></ul><p><strong>Here are the steps for this process:</strong><br><br>TBD <strong>></strong> Application review/approval <strong>></strong> Screening interview with GoFasti's team <strong>></strong> We build and send your profile to our client <strong>></strong> Profile review/approval by client <strong>></strong> Interview with the client <strong>></strong> Hiring and onboarding.</p><div class="content-conclusion"><p>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. </p> <p><strong>Note for Candidates Approached Directly:</strong><br>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. <br><br>Thank you!</p></div>
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