Software Engineer – AI, Data And Full Stack

Software Engineer – AI, Data & Full Stack

Employment Type: Full-Time, Remote

Working Hours: U.S. Time Zone

Salary: $2,000–$2,500 USD per month

About the Role

We are looking for a Software Engineer – AI, Data & Full Stack to join our engineering team and build production-ready AI applications, backend services, data pipelines, and modern web applications.

The ideal candidate has strong experience with Python, FastAPI, AI/LLMs, RAG, MCP, Vue.js, and Angular, along with practical knowledge of cloud infrastructure and CI/CD.

The position is 100% remote, but candidates must be available to work during U.S. business hours.

Key Responsibilities

Develop backend applications and APIs using Python and FastAPI.

Build responsive frontend applications using Vue.js and Angular.

Integrate frontend applications with REST APIs and AI-powered backend services.

Build AI applications using LLMs, Generative AI, RAG, and AI agents.

Develop and integrate Model Context Protocol (MCP) servers and tools.

Design and optimize prompts using modern prompt engineering techniques.

Implement embeddings, semantic search, and vector database solutions.

Build data processing, ETL, and machine-learning pipelines.

Integrate external APIs and third-party platforms.

Design scalable REST APIs and microservices.

Containerize applications using Docker.

Build and maintain CI/CD pipelines using CircleCI.

Deploy and maintain applications on AWS.

Write unit, integration, and API tests.

Monitor and troubleshoot applications in production.

Participate in code reviews and architecture discussions.

Collaborate with engineering, data science, AI, and product teams.

Required Technical Skills

Backend

Python

FastAPI

REST APIs

Pydantic

Async Python

SQL

PostgreSQL

Redis

Frontend

Vue.js

Angular

JavaScript

TypeScript

HTML5

CSS3

REST API integration

Responsive web development

Modern frontend architecture and component-based development

Experience with Pinia/Vuex, RxJS, Angular Material, Tailwind CSS, or Bootstrap is a plus.

AI / LLM Engineering

Large Language Models (LLMs)

Generative AI

Model Context Protocol (MCP)

Retrieval-Augmented Generation (RAG)

Prompt Engineering

AI Agents / Agentic AI

Tool and function calling

Embeddings

Semantic search

Vector databases

LLM evaluation and testing

Experience with LangChain, LangGraph, LlamaIndex, OpenAI, Anthropic, or AWS Bedrock is highly desirable.

Data Science & Data Engineering

Pandas

NumPy

Scikit-learn

Data preprocessing

ETL/data pipelines

Machine learning fundamentals

Model evaluation

Data analysis

DevOps & Cloud

AWS

Docker

CI/CD

CircleCI

Git / GitHub

Linux

Cloud deployment and monitoring

Experience with Kubernetes, Terraform, GitHub Actions, AWS ECS/ECR, Lambda, S3, RDS, CloudWatch, IAM, and Bedrock is a plus.

Additional Preferred Skills

Multi-agent AI systems

MCP server architecture

Langfuse or similar AI observability platforms

RAG/LLM evaluation frameworks

Microservices architecture

Multi-tenant SaaS architecture

OAuth 2.0 / JWT

WebSockets

Celery

Kafka, RabbitMQ, or AWS SQS

Pytest

MLOps

Application monitoring and observability

Agile/Scrum development

Qualifications

5+ years of professional software engineering, full-stack engineering, AI/ML engineering, or related experience.

Strong hands-on experience with Python.

Professional experience with Vue.js and/or Angular.

Experience developing REST APIs with FastAPI or similar Python frameworks.

Practical experience building applications using LLMs and Generative AI.

Understanding of RAG, MCP, embeddings, vector search, and prompt engineering.

Experience with Docker and CI/CD.

Familiarity with AWS cloud infrastructure.

Strong debugging and problem-solving skills.

Ability to work independently in a remote environment.

Good written and verbal English communication skills.

Ability to work and collaborate during U.S. business hours.

Position Details

Salary: $2,000–$2,500 USD/month

Employment: Full-Time

Location: 100% Remote

Working Hours: U.S. Time Zone

We are looking for an engineer who can work across the full application stack—from Vue.js/Angular frontends and Python/FastAPI backend services to RAG, MCP, AI agents, data pipelines, AWS infrastructure, and production deployment.