Senior Full-Stack / AI Engineer

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TYPE OF WORK

Full Time

SALARY

$1000-$1500 per month

HOURS PER WEEK

40

DATE UPDATED

Aug 21, 2026

JOB OVERVIEW

This is a 3-month employment. Only apply when the salary range is acceptable for you.

About the Role
We are seeking an experienced engineer to design, build, and scale distributed systems and AI-powered
applications. You will work across the full stack—from backend microservices and data pipelines to
modern frontends and LLM integrations.

Responsibilities
Design and develop scalable backend services using microservices and hexagonal architecture
Build and maintain RESTful, GraphQL, and XML APIs
Develop responsive frontends using React, Next.js, and micro-frontend patterns
Architect and optimize data stores across SQL, NoSQL, graph (Neo4j), and vector (Qdrant) databases
Build ETL/ELT pipelines and event-driven systems using Kafka, RabbitMQ, and NATS
Develop AI/LLM features including RAG systems, agentic workflows, and tool integrations
Deploy and manage services across AWS, Azure, and GCP with Docker and CI/CD
Implement observability (Grafana) and identity/access management (Keycloak)

Required Technical Skills
Programming Languages: Python, Go, Java, TypeScript, JavaScript
Backend Frameworks: FastAPI, Spring Boot, NestJS, Express.js
Frontend: React, Next.js, Micro-Frontend Architecture
Architecture & API Design: Microservices, Hexagonal, Monolith; RESTful APIs, GraphQL, XML APIs
Databases: SQL, NoSQL, Neo4j (Graph DB), Qdrant (Vector DB), Redis
Data Engineering: ETL & ELT Pipelines, Kafka, RabbitMQ, NATS, DVC (Data Versioning), Datalab
Cloud & DevOps: AWS, Microsoft Azure, Google Cloud Platform (GCP), Docker, CI/CD Pipelines, VPS
Deployment & Management
Monitoring & Security: Grafana (Observability & Dashboards), Keycloak (Identity & Access
Management, SSO)
AI & LLM Engineering: RAG, LangChain, Fine-Tuning, Agentic Workflows, Tool Integration, OpenAI,
Anthropic (Claude), Ollama, OpenRouter
Developer Tools: Git, GitHub, Claude Code, Cursor, GitHub Copilot

Nice to Have (Optional)
NLP & Data Science: NLTK, spaCy, Hugging Face Transformers, Machine Learning, Deep Learning,
Data Analysis & Visualization

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