who thrives in fast-paced, product-centric environments and has proven experience building and scaling distributed systems. You'll work closely with product, ML, and infra teams to deliver end-to-end features, deploy production-grade code, and explore emerging GenAI technologies.
This is a
hands-on engineering role
where your primary focus will be system design, high-performance code, and ownership from development to deployment.
Key Responsibilities-
Design and develop
scalable, fault-tolerant backend systems
using modern technologies.
Own full lifecycle of features from
architecture
implementation
testing
deployment
.
Collaborate with cross-functional teams to drive product decisions and improvements.
Write clean, maintainable, and efficient code.
Build APIs, microservices, and data pipelines in a cloud-native environment.
Drive performance tuning and reliability across services and infrastructure.
Must-Have Qualifications
5+ years of experience in
backend development
at scale (e.g., handling high throughput, distributed systems).
Strong proficiency in
coding (Java, Go, Python, or Node.js)
.
Solid grasp of
system design, data structures, and algorithms
.
Experience with
CI/CD, Docker, Kubernetes
, or similar deployment tools.
Proven experience deploying code to
cloud platforms
(AWS, GCP, Azure).
Strong problem-solving skills and attention to detail.
Nice-to-Have (Added Advantage)
Experience with
Machine Learning pipelines
or ML infrastructure.
Exposure to
Generative AI
applications.
Familiarity with
RAG-based systems
,
LLMs
,
LangChain
,
LlamaIndex
, or
agentic workflows
.
Contributions to open-source AI/ML or backend projects.
Strong presence on coding platforms (e.g.,
CodeChef
,
LeetCode
, or similar)
What You'll Gain
Opportunity to work on cutting-edge problems at the intersection of
AI, product, and platform engineering
.
Freedom to experiment with emerging technologies in production.
Collaborative team of engineers and researchers solving real-world challenges.
High ownership, fast execution, and strong technical mentorship.
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