I’m looking for a role where I can build production-grade agentic LLM systems or scalable full-stack platforms, own end-to-end delivery, and collaborate with a team that values reliability, observability, and safe automation.
Looking for a job
Sonoi Ogbuefi
@sonoiogbuefi
AI Engineer and full-stack developer specializing in production-grade agentic LLM systems and scalable web platforms.
United StatesWhat I'm looking for
I’m an AI Engineer and full-stack software developer with ~9 years of experience across agentic LLM systems, full-stack web development, cloud-native backend engineering, and computer vision. I’ve designed and shipped production-grade platforms end-to-end—from LLM orchestration, tool-calling, and RAG to microservices, real-time features, and scalable AWS infrastructure.
My agentic AI work focuses on building controllable, traceable, recoverable workflows using LangGraph, MCP-aligned tool abstractions, and guardrails. I ground decisions with RAG over historical trades/backtests, enforce strict reasoning/execution boundaries with JSON Schema validation, and harden outputs against LLM non-determinism with retries, timeouts, degradation, and Redis-backed checkpoint/resume.
In full-stack and backend roles, I’ve led engineering teams and delivered high-performance platforms at scale, including eCommerce systems with 100K+ monthly active users and $2M+ monthly transactions. I’ve architected microservices exposing REST/GraphQL APIs, improved storefront performance to 95+ Lighthouse scores with sub-2-second load times, and built real-time experiences with WebSockets/Socket.io.
I’m known for mentoring cross-functional teams and for building reliable systems that scale to 100K+ users and multimillion-dollar transaction volumes. I bring a strong foundation in distributed systems, payments, and observability, pairing pragmatic engineering with careful validation so production workflows stay safe and dependable.
Experience
Work history, roles, and key accomplishments
Architected and delivered a 0→1 LLM-based crypto quant-portfolio strategy and trading-decision platform using a controllable, traceable, recoverable agentic workflow (LangGraph). Built an MCP-aligned exchange tool layer with RAG grounding, and added guardrails/JSON schema validation with Redis-backed checkpoint/resume and latency/cost optimizations.
HU
Technical Team Lead
Huck
Jul 2023 - Dec 2025 (2 years 5 months)
Led a cross-functional team building full-stack eCommerce platforms used by 100K+ monthly active users and supporting $2M+ monthly transactions. Architected microservices (Node.js/Express/NestJS), improved storefront performance with Next.js (95+ Lighthouse, sub-2-second loads), and implemented real-time features, payments integrations, AWS infrastructure, CI/CD, and team mentoring.
Co-designed and implemented an LLM-powered end-to-end job-application automation system, including recruitment-page parsing, question/answer generation, form auto-fill, resume matching, and multi-step execution. Built a deterministic, form-ready pipeline using JSON Schema output validation and Tool Calling for browser automation, with retry/degradation handling and RabbitMQ/Redis-backed execution
WK
Backend Engineer
World Kinect
Sep 2020 - May 2023 (2 years 8 months)
Architected a marine bunker-fuel price risk hedging platform using Python 3.11 and FastAPI with layered architecture and SQLAlchemy/Pydantic models. Built async exposure calculations and serverless analytics on AWS (S3/Parquet/Athena), implemented automated daily netting with APScheduler, integrated an ETRM system via SOAP/XML over NTLM, and added observability, RBAC, and Kubernetes deployment wit
VE
Software Engineer
VectorSecurity
Jan 2017 - Jul 2019 (2 years 6 months)
Designed and delivered end-to-end face detection and recognition pipelines for real-time video surveillance, evolving the system from classical computer vision to deep-learning-based recognition. Built detection/alignment and embedding workflows (OpenCV/C++), fine-tuned a CNN face embedding model in Caffe, and supported continuous improvements via data collection, labeling, and training/evaluation
Education
Degrees, certifications, and relevant coursework
Florida Institute of Technology
Master of Science in Computer Science, Computer Science
2019 - 2020
Earned an M.S. in Computer Science from Florida Institute of Technology between 2019 and 2020.
Caritas University
Bachelor of Science in Computer Science, Computer Science
2012 - 2016
Earned a B.S. in Computer Science from Caritas University between 2012 and 2016.
Tech stack
Software and tools used professionally
Availability
Looking for a job
Location
United StatesAuthorized to work in
Salary expectations
120k-180k USD
Social media
Skills
PythonfastAPIJavaScriptTypeScriptMySQLPostgreSQLReactNext.jsReduxJavaScript (Node.JsNestJSAWS LambdaAWS DynamoDBAWS S3Amazon AthenaGCPAzureRedisRabbitMQWebSocketsNumPyscikit learnPandasPanderaAI Agentic WorkflowMulti Step ReasoningRAGPrompt EngineeringTool callingGmailGuardRailsKEDALangGraphNodeJSPayPalSocket.IO
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