You will get an embedded AI engineer: a fractional Staff Engineer in your team, monthly
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Top Rated
Project details
Think of this as a fractional Staff Engineer who joins your team and stays. This is an ongoing, monthly engagement: roughly 1.5-2 days a week embedded with your engineers (in your standups, your repo, your Slack), helping you build and ship production AI agents the right way. I'm a Staff Engineer who specializes in production LLM systems: local and open models, on-prem and private-cloud deployment, MCP tool integration, and EU AI Act-aware architectures where your data stays inside your infrastructure. Depending on what you need in a given month, that means hands-on coding, architecture and code review, mentoring your team, unblocking AI work, and keeping agents reliable in production. This listing covers one month; most clients continue month to month. It's built for engineering-led companies that want senior AI capability inside the team, not a one-off deliverable, but a steady hand helping you ship and own your AI systems. Let's talk first to scope the right focus before you book.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AIOps, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Hugging Face, NVIDIA AI Platform, PyTorchAI Models
LLaMAWhat's included $6,500
These options are included with the project scope.
$6,500
- Delivery Time 30 days
- Number of Revisions 10
- AI Model Integration
- Database Integration
- Detailed Code Comments
- MLOps
- Model Deployment
- Model Documentation
- Model Monitoring
- Source Code
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MK
Markus K.
May 8, 2026
PHP Developer - Admin Tool Interfaces
One of the most reliable engineers I've worked with. Terry has been a key part of several projects over the last year, including AWS infrastructure security, browser extension monitoring, and scraping infrastructure. Consistently delivered without needing to be managed. Hand him a problem and he comes back with a working solution and a clear explanation. Strong technical range, fast turnaround, honest about tradeoffs. Hire him if you need a senior engineer who can run a project on their own.
IA
Ibtisam A.
Jan 28, 2025
Backend Developer (PHP) with DevOps Understanding
Highly skilled DevOps engineer with expertise in CI/CD pipelines, cloud infrastructure, and automation. His ability to streamline workflows, ensure seamless deployments, and maintain system reliability is outstanding.
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Jim L.
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Khaled K.
Dec 27, 2023
Fix HMAC PHP
Excellent developer
About Ogbemudia Terry
AI Engineer | Production LLM Agents, On-Prem & EU AI Act-Ready
100%
Job Success
Bergisch Gladbach, Germany - 3:51 pm local time
Most AI projects die in pilot purgatory: a few Slack bots, a Confluence plugin, nothing actually running. I take one real use case and get it into production: local LLM deployment, RAG, MCP tool integration, runbooks, and audit logs - on your infrastructure, so your data never has to leave it.
This matters most for engineering-led companies operating under European data and compliance constraints. Your telemetry, customer data, and postmortems stay on-prem. Every use case gets an EU AI Act risk classification. No vendor lock-in - MCP standard, swappable models.
13 years of software engineering, Top Rated Plus, 100% Job Success. Founder of TraceKit (production debugging/APM) and funkel.ai. I work the way it should be sold: fixed price, fixed scope, one engineer who strategizes, builds, and hands off cleanly.
Three ways to start:
• AI Readiness Audit - 1 week, one PDF, one use case ranked and ready to build
• Agent Build Sprint - 4–6 weeks, one use case to production, fixed price
• Embedded AI Engineer - fractional Staff Engineer on retainer inside your team
If you want production AI without the usual headaches, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Ogbemudia Terry can start the project.
Delivery time starts when Ogbemudia Terry receives requirements from you.
Ogbemudia Terry works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff & onboarding
We agree on focus areas and cadence, and I get access to your repo, Slack, and standups.
Weekly embedded work
~1.5-2 days/week of coding, architecture, code review, mentoring, and unblocking your AI work.