to join our fast-growing engineering team. The ideal candidate will be responsible for designing, developing, and deploying scalable backend systems, integrating AI-driven features, and ensuring seamless application performance across platforms.
Key Responsibilities:
Develop and maintain scalable backend solutions using
Python
(Django/Flask/FastAPI).
Build RESTful APIs and integrate third-party services using
Node.js
and microservices architecture.
Design and implement AI/ML models, pipelines, and integrate them into production systems.
Work with MVC frameworks to develop clean, modular, and maintainable code.
Collaborate with front-end developers, data scientists, and DevOps teams to deliver robust solutions.
Optimize performance, security, and scalability of backend services.
Participate in code reviews, unit testing, and continuous integration processes.
Troubleshoot, debug, and upgrade existing software and systems.
Required Skills & Qualifications:
Bachelor's/Master's degree in Computer Science, Engineering, or related field.
5+ years of hands-on experience in
Python
development.
Solid experience with
AI/ML libraries
like
TensorFlow, PyTorch, scikit-learn, OpenCV
.
Proficient in
Node.js
, JavaScript (ES6+), and asynchronous programming.
Strong understanding of
MVC frameworks
like
Django, Flask, or FastAPI
.
Experience with API development, OAuth, and JWT authentication.
Familiarity with cloud platforms such as
AWS, GCP, or Azure
.
Knowledge of containerization using
Docker/Kubernetes
is a plus.
Strong problem-solving skills, attention to detail, and ability to work in a team.
Preferred Qualifications:
Exposure to
NLP
,
computer vision
, or
generative AI
projects.
Experience with
CI/CD pipelines
, version control (Git), and Agile methodologies.
Experience with NoSQL databases (MongoDB, Redis) and relational databases (PostgreSQL/MySQL).
Perks & Benefits:
Competitive salary and performance bonuses
Flexible working hours and remote work options
Learning & development budget
Health insurance and wellness programs
Fast-paced, collaborative team environment
Job Type: Full-time
Location Type:
In-person
Schedule:
Morning shift
Work Location: In person
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