Job Description

Overview:

We are seeking a versatile and highly skilled

Full Stack AI Platform Engineer

to design, develop and deploy intelligent, scalable and cloud-native applications. This role blends frontend and backend development with applied AI engineering and DevOps practices. The ideal candidate will have hands-on experience across the stack with a strong understanding of generative AI workflows, microservices architecture, and cloud automation.
Responsibilities:

Frontend Development

Build responsive and performant

Single Page Applications (SPAs)

using

React

frameworks like

js

or

Remix

. Design intuitive UIs that support

generative AI interactions

, including

streaming (SSE)

and real-time updates. Rapidly prototype and iterate on UI concepts in collaboration with clients and stakeholders. Utilize modern styling tools like

TailwindCSS

to enhance development efficiency.

Backend Development

Develop scalable backend services using

Python

and

FastAPI

, following

Microservices Architecture (MSA)

Build and maintain

RESTful APIs

and support

MCP (Multi-Channel Processing)

server/client implementations. Apply

Test-Driven Development (TDD)

and

Clean Architecture

principles to ensure code quality and maintainability.

Applied AI Engineering

Design backend systems optimized for

generative AI

, including

streaming responses

and

LLM orchestration

. Implement and refine

prompt engineering

strategies (e.g., few-shot, CoT, RAG). Integrate

guardrails

and safety mechanisms to ensure responsible AI behavior. Collaborate with AI/ML teams to embed intelligent features into platform components.

DevOps & Cloud Automation

Manage containerized deployments using

Docker Compose

and

Kubernetes

. Automate infrastructure provisioning using

Terraform

. Support CI/CD pipelines and ensure smooth deployment across environments. Operate within

AWS

,

Azure

, or other public cloud platforms with a strong understanding of cloud-native services.

Soft Skills:

Strong problem-solving and analytical thinking. Excellent communication and collaboration skills. Ability to work in a fast-paced, agile environment with cross-functional teams. Ability to empathize with customer challenges and engage in conversations. Defining technical requirements based on business needs and conveying them to customers. Effectively communicating complex technical concepts to both technical and non-technical audiences. Correctly understanding the feasible requirements and limitations of AI and educating customers. Building close relationships with customers and understanding their requirements.

Requirements:

Required Skills:

Frontend:

React, Next.js/Remix, TailwindCSS, JavaScript/TypeScript, SSE/WebSockets.

Backend:

Python, FastAPI, REST APIs, Microservices, TDD, Clean Architecture.

AI Engineering:

Prompt engineering, streaming AI responses, guardrails, LangChain/OpenAI/Hugging Face.

DevOps:

Docker, Kubernetes, Terraform, CI/CD, AWS/Azure fundamentals.

Preferred Qualifications:

Experience with

vector databases

,

LLM orchestration frameworks

, and

real-time AI pipelines

. Familiarity with

GitOps

,

monitoring tools

and

security best practices

. Contributions to open-source projects or a strong personal portfolio.

Cloud certifications (AWS/Azure) or DevOps certifications are a plus.