Hire a Senior AI Engineer
9+ years of experience building production-grade AI systems, LLM applications, and full-stack platforms — remotely, worldwide.
Why Hire Diego Rodriguez for AI Development?
Ship Fast, Ship Right
Average 3-week delivery from kickoff to production. No scope creep — I define what we build upfront.
AI Specialization
Deep expertise in LLMs, RAG pipelines, AI agents, and ML systems — not just another generalist.
Remote & Async-First
Available globally. Clear communication, thorough documentation, and predictable delivery.
By the Numbers
What AI and Development Services Does Diego Rodriguez Offer?
LLM Application Development
End-to-end LLM apps: RAG pipelines with LangChain/LangGraph, vector databases, chatbots, document Q&A, and domain-specific retrieval systems.
Get a QuoteAI Agent Systems
Autonomous agents with tool/function calling, multi-agent orchestration, MCP integration, and business process automation.
Get a QuoteAI-Powered SaaS Platforms
Full-stack SaaS with LLM integration, subscription billing, admin panels, and AI-driven personalization at scale.
Get a QuoteML Risk Detection & Fraud Prevention
Real-time risk scoring, anomaly detection, and behavioral analysis pipelines using scikit-learn and feature engineering.
Get a QuoteFull-Stack Web Applications
React/Next.js frontends with Python/Node backends, PostgreSQL/MongoDB databases, REST or GraphQL APIs.
Get a QuoteAlgorithmic Trading Systems
Automated trading bots with reinforcement learning (PPO, SAC), real-time data pipelines, and portfolio dashboards.
Get a QuoteHow It Works
Discovery Call
We discuss your project, goals, timeline, and budget. I'll ask the right questions to scope the work accurately.
Build & Iterate
I deliver working increments with clear milestones. Regular check-ins keep you informed and in control.
Deploy & Hand Off
Production deployment with documentation, testing, and a handoff session so your team can maintain it independently.
Frequently Asked Questions About Hiring an AI Engineer
What is your typical project timeline?
Most projects ship in 2–4 weeks from kickoff to production deployment. A focused LLM application or RAG pipeline typically takes 2–3 weeks; a full AI-powered SaaS platform with billing and admin takes 6–10 weeks; ML risk detection systems or algorithmic trading bots range from 3–6 weeks depending on data availability and integration complexity. I define milestones and deliverables upfront at the start of every engagement, so you always know exactly what ships each week and there are no late surprises or scope creep.
How do you price projects?
I work on two models: fixed-price quotes for well-scoped projects, and hourly retainers for ongoing or exploratory work. Fixed-price projects include a detailed proposal breaking down every deliverable and cost before any work begins. For reference, a production RAG pipeline typically starts at $3,000–$6,000; a full AI SaaS platform starts at $8,000–$15,000. Retainer rates are available for teams that need continuous AI development, feature iteration, or maintenance. All pricing is discussed transparently on the discovery call — no hidden fees.
What tech stack do you use?
On the AI/ML side: Python with FastAPI, LangChain, LangGraph, scikit-learn, and PyTorch; vector databases including pgvector (PostgreSQL), Pinecone, and Chroma; all major LLM providers (OpenAI GPT-4o, Anthropic Claude, Google Gemini, and open-source models via Ollama). On the application side: TypeScript, React, Next.js, and Node.js for frontends and APIs; PostgreSQL, MongoDB, and Redis for data storage; AWS, Docker, Kubernetes, and Vercel for deployment. I choose the stack that best fits the project requirements — not the other way around.
Are you available for part-time / ongoing work?
Yes. Alongside project-based engagements, I accept monthly retainer arrangements for teams that need a dedicated AI engineer on an ongoing basis. A typical retainer covers 20–40 hours per month and can include continuous feature development, LLM fine-tuning and prompt iteration, monitoring and maintenance of deployed AI systems, or technical advisory for internal engineering teams. Retainers start with a one-month trial so both sides can assess fit before committing to a longer arrangement. Available to start within 1–2 weeks of agreement.
Do you sign NDAs and work on proprietary projects?
Absolutely. Confidentiality is the default — I never discuss, share, or reference client work publicly without explicit written permission. I am fully comfortable signing your company's standard NDA, IP assignment agreements, or any other confidentiality documentation before we begin discussions. I regularly work on proprietary AI systems, internal tooling, and competitive products where discretion is critical. If you have specific legal or compliance requirements (GDPR, HIPAA, SOC 2), let me know upfront and we can address them in the contract.
Ready to Start?
Let's build something remarkable together.