AI services, agentic AI systems, and backend development
. The ideal candidate should be eager to work on innovative AI-driven solutions, scalable backend systems, and cutting-edge agent-based architectures. This role offers an exciting opportunity to contribute to next-generation applications that combine
backend engineering
with
AI-powered automation
.
Key Responsibilities
Develop, optimize, and maintain
Python-based backend services
and APIs.
Work on
agentic AI systems
- autonomous agents, workflows, and integrations with AI models.
Implement, test, and deploy
AI-powered features
(LLMs, NLP, Generative AI).
Collaborate with data scientists and AI engineers to
integrate ML/AI models
into production-ready systems.
Ensure
scalability, security, and performance
of backend applications.
Work with databases (SQL/NoSQL) and cloud platforms (AWS, GCP, or Azure).
Participate in
code reviews, debugging, and troubleshooting
production issues.
Stay updated with the latest AI and Python ecosystem trends.
Required Skills & Qualifications
3+ years
of hands-on experience in
Python development
(backend & APIs).
Strong understanding of
OOP, data structures, and algorithms
.
Experience with
AI services, agentic AI frameworks, or LLM integration
(LangChain, LlamaIndex, OpenAI APIs, RAG, etc.).
Knowledge of
backend frameworks
such as
FastAPI, Flask, or Django
.
Familiarity with
RESTful APIs, microservices architecture, and event-driven systems
.
Experience with
databases
(PostgreSQL, MongoDB, or MySQL).
Basic knowledge of
cloud platforms
(AWS/GCP/Azure) and
containerization
(Docker/Kubernetes).
Good problem-solving, debugging, and optimization skills.
Good to Have (Optional)
Hands-on experience in
agent-based AI systems
or
autonomous AI workflows
.
Exposure to
MLOps tools
(MLflow, Weights & Biases).
Knowledge of
message brokers
(Kafka, RabbitMQ, Redis Streams).
Experience with
DevOps practices
(CI/CD pipelines, GitHub Actions, Jenkins).
Perks & Benefits
5 days working (Monday to Friday)
Comprehensive health insurance coverage
Flexible working hours & supportive team culture.
Learning opportunities with