to join our growing team and lead the development of our intelligent applications from front to backend, including ML/NLP integrations and
DevOps workflows.
You will play a key role in architecting, building, and scaling our
full-stack AI platform
. The ideal candidate combines expertise in frontend development with
React & Tailwind, backend APIs with Python, experience with custom ML/NLP solutions
, and solid hands-on
DevOps and database management.
Key Responsibilities:
Frontend:
Design and build responsive user interfaces using
React.js
and
Tailwind CSS
Work closely with UX/UI designers to deliver clean, dynamic frontends
Integrate frontend components with backend APIs and NLP-powered features
Backend & ML/NLP:
Develop RESTful or GraphQL APIs using
Python (FastAPI / Flask / Django)
Build and integrate
custom NLP pipelines
(e.g., entity extraction, intent detection, semantic search).
Work with Python ML frameworks (e.g.,
spaCy, Transformers, NLTK, PyTorch, TensorFlow
) for ML tasks.
Database:
Design and maintain
PostgreSQL
schemas and queries for structured data
Utilize
MongoDB
for flexible or unstructured data storage (e.g., logs, embeddings, NLP outputs).
DevOps:
Deploy and manage applications using
Docker
,
CI/CD pipelines
, and
cloud platforms
(AWS/GCP/Azure).
Monitor performance, reliability, and security of applications.
Automate deployments, backups, and testing.
Required Qualifications:
5+ years of full stack development experience.
Advanced experience with
React.js
and
Tailwind CSS.
Proficient in
Python
for backend development and ML/NLP.
Proven experience building and deploying
custom NLP solutions.
Solid experience with
PostgreSQL
and
MongoDB.
Working knowledge of
DevOps tools
: Docker, GitHub Actions / GitLab CI, cloud (AWS/GCP).
Strong understanding of REST API standards and microservices architecture.
Familiarity with secure coding practices and performance optimization.
Preferred (Bonus) Skills:
Experience with
Vector Databases
(e.g., Pinecone, FAISS).
Familiarity with
LLM APIs
(OpenAI, HuggingFace Transformers).
Knowledge of
Kubernetes
, Terraform, or advanced cloud infrastructure.
Contribution to
open-source ML/NLP
tools or
libraries.
Job Type: Contract
Contract length: 6 months
Application Question(s):
How many years of experience you have on React.js and Tailwind CSS?
How many years of experience you have on Develop RESTful or GraphQL APIs using Python?
How many years of experience you have on Python ML frameworks?
How many years of experience you have on PostgreSQL and MongoDB?
How many years of experience you have on Docker, CI/CD pipelines and cloud platforms ?
Application Deadline: 26/06/2025
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