LLM Application Engineer

🔥 0 minutes ago

🌐 Argentina, Colombia, +3 more countries – Remote

🇦🇷 Argentina – Remote 🇨🇴 Colombia – Remote 🇲🇽 Mexico – Remote 🇺🇿 Uzbekistan – Remote 🇬🇪 Georgia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Application Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Bolder Apps

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Bolder Apps is an AI-focused mobile and web app development agency headquartered in Miami that partners with startups and businesses worldwide to design, build, and scale product-grade digital experiences. Founded in 2019, the firm offers product strategy, UI/UX design, cross-platform and native mobile development (Flutter, Swift, Kotlin), web development (React, Node. js, Laravel), backend architecture, growth & optimization, staff augmentation, and ongoing support. They work with clients across industries such as fintech, healthcare, e-commerce, social media, and lifestyle, and provide AI integrations and vendor credits (OpenAI, AWS, Stripe) to accelerate projects.

📋 Description

• Own production LLM pipelines end to end, including ingestion, multimodal model calls, structured records, storage, confidence flags, retries, and idempotent rescans • Design prompt and schema strategies, including schema-aligned or constrained outputs, for consistent product-ready results • Build classification and filtering layers, including taxonomy mapping, demographic or audience filters, deduplication, and cleanup logic • Define and run evaluation harnesses with golden sets, regression suites, and online metrics • Report against quality targets for completeness, duplicates, incorrect inclusions, image presence, and related product SLAs • Optimize token usage, model tiering, caching, and batching to control cost and latency • Harden long-running asynchronous jobs with timeouts, partial recovery, memory limits, and safe production deployments • Partner with Flutter/mobile and QA teams on field contracts, review queues, and incident debugging • Document architecture and runbooks for shared ownership • Stay current on Gemini and peer LLM APIs; recommend model swaps, fallbacks, and schema improvements

🎯 Requirements

• Shipped LLM applications in production (not demos only): prompts, structured outputs, retries, observability, and real failure handling • Strong hands-on experience with Google Gemini, including multimodal text, image, and document-style workflows and structured extraction • Practical experience with at least one other major LLM stack, such as OpenAI or Anthropic • Structured extraction from HTML, PDFs, images, and mixed email-like content • Classification and taxonomy systems on top of LLM outputs • Evaluation discipline: offline evals, regression suites, and production quality metrics tied to clear acceptance criteria • Cost and latency awareness: token budgeting, cheaper tiers, caching, and batching • Python backend experience on serverless cloud, such as Cloud Functions, and document stores, such as Firestore, or similar GCP patterns • English at C1 or above • US hours overlap through roughly 5 PM EST when live coordination is needed • Ownership habits: honest estimates, early blockers, and finished releases • Nice to have: schema-aligned LLM frameworks, Google Document AI or other OCR/document intelligence, Gmail API/OAuth compliance familiarity, computer vision, Firebase/GCP operations, production evaluation corpora, and agency or multi-client studio experience

🏖️ Benefits

• Fully remote and async-friendly, with required overlap through ~5 PM EST when client or release coordination needs it • Monthly retainer structure with recurring AI pipeline work for engineers who keep production quality and cost honest • Real autonomy over how you structure prompts, schemas, evals, and deploys • Direct line to PMs, mobile engineers, and decision-makers • Tooling budget for the LLM and cloud tools you need to move fast • A peer network of product-minded builders across overlapping client projects