AI Backend Engineer(Freelance | WFH)

About BeGig

BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you’re not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise.

Your Opportunit

AI Backend Enginee

.Enjoy the flexibility to work remotely and choose between hourly or project-based engagements

.Role Overvi

ewAs an AI Backend Engineer, you wil

• l:Serve LLM AP

  Is: Design and deploy APIs to serve large language models efficiently and securel

• y.Develop with FastA

  PI: Build and optimize backend endpoints using FastAPI to support real-time AI service

• s.Deploy AI Mode

  ls: Manage model inference endpoints, containers, and microservices for seamless integration into product

• s.Cloud Infrastructu

  re: Deploy and scale services on cloud platforms like AWS, GCP, or Azure with CI/CD automatio

• n.Containerizati

  on: Use Docker and Kubernetes to package, deploy, and manage scalable backend component

• s.Monitor & Optimi

  ze: Set up observability tools like Prometheus and Grafana to track performance and uptim

e.Technical Requirements & Ski

• llsExperie

  nce: Minimum 2+ years in backend engineering with exposure to AI or ML syste

• ms.API Developm

  ent: Proficiency in FastAPI and Python-based API frameworks for real-time, async handli

• ng.Model Serv

  ing: Experience in LLM API deployment using tools like Hugging Face Inference Endpoints, Triton, or custom Flask/FastAPI solutio

• ns.Cloud & Dev

  Ops: Hands-on with AWS, GCP, or Azure, including CI/CD pipelines and infrastructure-as-co

• de.Containerizat

  ion: Expertise with Docker, and familiarity with Kubernetes for orchestrati

• on.Monitor

  ing: Working knowledge of Prometheus, Grafana, or similar tools for logging and performance tracki

ng.What We’re Looking

• ForA backend engineer who understands the infrastructure needs of AI-powered applicati
• ons.A freelancer comfortable with deploying large-scale systems and integrating them into live production workfl
• ows.A performance-obsessed developer who proactively monitors and optimizes backend pipeli

nes.Why Joi

• n Us?Immediate I

  mpact: Build and manage the AI backend stack for startups pushing the boundaries of language models and automa

• tion.Remote & Fle

  xible: Choose your working model—hourly or per project—from anywhere in the w

• orld.Future Opportun

  ities: BeGig continuously matches you with AI-first product teams and backend-heavy bu

• ilds.Growth & Recogn

  ition: Work in a collaborative environment that values engineering precision and infrastructure excell