Backend Engineer_Python and AI Integration

Job Title:

Location:

Role Overview:

seasoned Backend Engineer

Key Responsibilities:

1. Backend & API Development

• Develop RESTful and GraphQL APIs using

  Django, FastAPI, or Flask

  .
• Implement async tasks with tools like

  Celery, RabbitMQ

  , and webhooks.
• Design clean, scalable, and secure architecture following

  SOLID principles

  .

2. Database Design & Optimization

• Design, maintain, and optimize

  PostgreSQL

  databases JSONB, partitioning, window functions, materialized views, etc.
• Write complex

  SQL queries

  , design ER diagrams, manage schema migrations (e.g., Alembic, Flyway).
• Troubleshoot performance issues using

  EXPLAIN plans

  , handle connection pooling, and resolve deadlocks.

3. AI/ML System Integration

• Work closely with data scientists to deploy

  ML models

  as APIs.
• Use tools like

  scikit-learn, PyTorch, Hugging Face, TensorFlow

  for integrating AI capabilities.
• Deploy RAG systems using

  FAISS, Weaviate, Qdrant

  , and integrate with

  OpenAI APIs, LangChain, LlamaIndex

  .
• Build pipelines with

  Airflow, Prefect

  for continuous training and deployment.

4. Infrastructure & DevOps

• Containerize applications using

  Docker & Docker Compose

  .
• Implement CI/CD pipelines using

  GitHub Actions, GitLab CI, or Jenkins

  .
• Monitor systems using

  Prometheus, Grafana, ELK, or Sentry

  .
• Familiarity with cloud platforms (

  AWS, GCP, Azure

  ) working with

  S3, Lambda, Cloud SQL, SageMaker

  , etc.

Must-Have Skills:

• Proficiency in

  Python

  and OOP principles.
• Deep knowledge of

  PostgreSQL

  and general RDBMS optimization.
• Experience with

  RESTful APIs

  , async processing, and microservice design.
• Exposure to

  AI/ML workflows

  , including model deployment and monitoring.
• Knowledge of

  authentication/authorization

  standards (OAuth2, JWT).

Good-to-Have (Bonus Skills):

• Experience with

  LLMs

  ,

  embedding-based search

  , and

  RAG systems

  .
• Familiarity with

  Streamlit/Dash

  for internal tools and dashboards.
• Understanding of

  data governance

  , PII protection, and anonymization.
• Exposure to

  event-driven systems

  (Kafka, AWS SNS/SQS).
• Open-source contributions or technical blog writing.

subashini.gopalan@kiya.ai