Job Description

Overview:

We are looking for a motivated and technically proficient

Full Stack AI Platform Engineer

to contribute to the design, development, and deployment of intelligent, scalable, and cloud-native applications. This role involves working across the stack from frontend interfaces to backend services and AI integrations while collaborating with cross-functional teams to deliver impactful solutions.
Responsibilities:

Frontend Development

Develop responsive and dynamic

Single Page Applications (SPAs)

using

React

frameworks like

Next.js

or

Remix

. Build user interfaces that support

generative AI workflows

, including

streaming responses (SSE)

. Collaborate with design and product teams to prototype and iterate on UI features. Use

TailwindCSS

or similar tools to streamline styling and layout.

Backend Development

Build scalable backend services using

Python

and

FastAPI

, aligned with

Microservices Architecture (MSA)

principles. Develop and maintain

RESTful APIs

and support

MCP server/client

implementations. Apply clean coding practices and contribute to unit testing and modular design.

Applied AI Engineering

Integrate

generative AI capabilities

into backend systems, enabling real-time and streaming interactions. Implement basic

prompt engineering

techniques and contribute to refining AI responses. Support the implementation of

guardrails

for safe and reliable AI behavior.

DevOps & Cloud Automation

Deploy containerized applications using

Docker Compose

and

Kubernetes

. Automate infrastructure provisioning using

Terraform

. Work within

AWS

,

Azure

, or other public cloud platforms to support CI/CD and environment management.

Soft Skills:

Strong problem-solving and analytical thinking. Effective communication and collaboration across teams. Eagerness to learn and grow in emerging technologies like generative AI. 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.

AI Engineering:

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

DevOps:

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

Preferred Qualifications:

Exposure to

vector databases

,

LLM orchestration frameworks

, and

real-time AI pipelines

. Familiarity with

monitoring tools

and

cloud security best practices

. Experience working in agile teams and contributing to cross-functional projects. * Cloud or DevOps certifications are a plus.