Hire Senior AI Engineers for Production Systems
From LLM integration to multi-agent architectures, our senior AI developers build systems that work beyond the demo. We are software engineers who specialize in AI, understanding every line we ship.
7 production AI systems delivered · AWS Partner · NVIDIA Inception
Technology Partners
Recognized by Clutch
Who you work with
Carlos Dutra, Founder
Vindler is led by a senior engineer, not a sales team. Carlos has spent 15+ years building and leading data and AI systems, holds an MSc in Applied Mathematics (machine-learning research) from USP, and completed MIT Sloan Executive Education. He has led teams at Wildlife Studios and Trustly, ships production AI on AWS, and contributes to open source. A Toptal Verified Expert since 2020.
Experience across
Selected work
Production systems, real outcomes
A few engagements in depth, with the numbers that matter.
Enterprise AI
Multi-Agent Systems Architecture
A production supervisor-worker multi-agent assistant for a form-building platform
- Production multi-agent assistant: six specialized agents and 90+ backend tools over MCP
- Reusable agent framework (shared graph, A2A, MCP, human-in-the-loop) that scales by adding agents
- Durable human-in-the-loop approvals that survive container restarts
Named reference available on request.
Read the full case study
Healthcare
Voice AI Assistant for Medicare Patients
A voice-first companion for elderly patients on bedside tablets
- Runs in production on kiosk tablets with end-to-end observability on every call
- True voice-and-touch multimodal interface designed for elderly accessibility
- Six voice skills (medication, reminders, weather, news, trivia, word games) plus web search
Named reference available on request.
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Mobile Gaming
Autonomous Feature-Generation Pipeline for Mobile Gaming
From a one-line brief to designed, built, and tested game features
- Autonomous phases (with human approval gates) from brief to designed, built, and tested feature
- Five-layer verification stack; a runtime integration contract caught 5 gameplay bugs every visual check missed
- Pilot: a feature's art set generated and machine-validated in under an hour versus a ~2-hour-per-asset manual baseline
Named reference available on request.
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Automotive / Sales
AI-Powered Sales Assistant with RAG
A production RAG and analytics assistant for automotive dealers
- Shipped to production on Kubernetes across CPU and GPU fleets with GitOps delivery
- Hard multi-tenant isolation: dealer-scoped SQL validation blocks cross-dealer data access
- Grounded RAG with an anti-hallucination fallback instead of fabricated answers
Named reference available on request.
Read the full case studyWhat We Build with AI
From RAG prototypes to production multi-agent systems, we deliver AI solutions that scale.
Custom LLM Applications
End-to-end AI applications built on OpenAI, Anthropic Claude, AWS Bedrock, and open-source models. We handle prompt engineering, output parsing, streaming, caching, and fallback strategies so your AI features work reliably under production load.
Production RAG Systems
Retrieval-augmented generation that delivers accurate, sourced answers from your data. We build the full pipeline: document ingestion, chunking strategies, embedding optimization, hybrid search, re-ranking, and citation tracking.
Multi-Agent Systems
Coordinated AI agents that handle complex workflows through LangGraph and custom orchestration. We build stateful systems with conditional routing, tool use, human-in-the-loop checkpoints, and error recovery.
AI-Powered Automation
Replace manual processes with intelligent automation. We build AI systems that classify, extract, summarize, and route information, handling the edge cases and validation that make automation trustworthy.
AI Analytics & Intelligence
Transform raw data into actionable insights using LLMs. We build AI-powered dashboards, anomaly detection systems, and predictive models that help your team make better decisions faster.
AI Security & Guardrails
Production AI needs guardrails. We implement prompt injection protection, output validation, content filtering, PII detection, and access controls so your AI systems are safe for enterprise deployment.
Why Senior AI Engineers Matter More Than Ever
AI tooling changes weekly. New models drop, APIs break, frameworks pivot. A junior developer following last month's tutorial builds software that is already outdated. Senior AI engineers understand the fundamentals beneath the hype: how attention mechanisms work, why retrieval quality degrades, when fine-tuning beats prompt engineering, and how to evaluate model outputs systematically.
The gap between an AI demo and a production system is where most projects die. Demos cherry-pick inputs that make the model look good. Production systems handle the inputs your users actually send: ambiguous queries, adversarial prompts, edge cases in languages the model barely supports, and the inevitable 3 AM when the API provider has an outage. Building for production means building for failure.
We have shipped AI systems across automotive, healthcare, e-commerce, financial services, and enterprise SaaS. We know which patterns work, which abstractions to avoid, and how to build evaluation pipelines that catch regressions before your users do. When you hire our team, you get engineers who have already made the expensive mistakes so you do not have to.
Our Tech Stack
We work across the AI ecosystem and integrate with the tools your team already uses.
How We Work
A straightforward process from first call to production deployment.
Discovery Call
We start with a 30-minute technical conversation to understand your data, your users, and your constraints. No sales pitch. We dig into what you have tried, what failed, and what success looks like.
Architecture Proposal
Within a week, we deliver a detailed technical proposal: system architecture, technology choices with rationale, estimated timeline, and cost breakdown. You will know exactly what we plan to build and why.
Build & Ship
We build iteratively with weekly demos. You see working software from week one, not slide decks. Every PR is reviewed, every decision is documented, and we transfer knowledge continuously so your team can maintain what we build.
Frequently Asked Questions
Ready to Build Production AI Systems?
Tell us about your project and we will respond within 24 hours with an initial assessment. No commitment, no pressure, just a technical conversation about what is possible.
Get a Free Assessment
Describe your AI project and we'll send you an initial technical assessment within 24 hours.