Python / AI Developer

Ommify Technologies; New Delhi; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Ommify Technologies in Delhi, India is seeking a backend engineer to design and build scalable services, APIs, and data-processing workflows for AI-powered products.

You will own development from requirements through deployment, work with Python, FastAPI/Django/Flask, PostgreSQL, Docker, and data tooling, and collaborate with frontend and product teams.

Qualifications

• 2+ years of professional Python development experience.
• Strong knowledge of Python, OOP, data structures and algorithms.
• Hands-on experience with FastAPI, Django, Flask, or similar backend frameworks.
• Strong knowledge of PostgreSQL, relational databases, and SQL optimization.
• Experience building and integrating REST APIs.
• Hands-on experience with Docker and Docker Compose.
• Experience processing data with Pandas, NumPy, Polars, PySpark, or similar tools.
• Understanding of asynchronous programming and background jobs.

Responsibilities

• Develop and maintain scalable backend applications using Python.
• Build REST APIs, background jobs, asynchronous services, and data-processing pipelines.
• Develop backend systems for AI-powered products, automation tools, and data-driven applications.
• Work with structured and unstructured datasets and optimize data-processing workflows.
• Design and manage PostgreSQL databases and write efficient SQL queries.
• Integrate LLMs, AI APIs, machine learning models, vector databases, and third-party services.
• Build and maintain Docker-based development and deployment environments.
• Improve application performance, reliability, security, and scalability.
• Debug technical issues and deliver production-ready solutions.
• Collaborate with frontend and product teams and support full-stack integration when required.

Skills

Python development

FastAPI

Django

REST APIs

PostgreSQL

Docker

Git

Linux

Data processing (Pandas/NumPy/Polars)

Asynchronous programming

PySpark

Tools

Docker Compose

GitHub

Linux tooling

SQL optimization

Job description

You will be responsible for building scalable backend systems, APIs, data-processing workflows, and AI-powered applications. We are looking for someone who can understand product requirements, solve technical problems independently, and take ownership of development from implementation to deployment.

Key Responsibilities

• Develop and maintain scalable backend applications using Python.
• Build REST APIs, background jobs, asynchronous services, and data-processing pipelines.
• Develop backend systems for AI-powered products, automation tools, and data-driven applications.
• Work with structured and unstructured datasets and optimize data-processing workflows.
• Design and manage PostgreSQL databases and write efficient SQL queries.
• Integrate LLMs, AI APIs, machine learning models, vector databases, and third-party services.
• Build and maintain Docker-based development and deployment environments.
• Improve application performance, reliability, security, and scalability.
• Debug technical issues and deliver production-ready solutions.
• Collaborate with frontend and product teams and support full-stack integration when required.

Required Technical Skills

• Minimum 2 years of professional Python development experience.
• Strong knowledge of Python, OOP, data structures, and algorithms.
• Hands-on experience with FastAPI, Django, Flask, or similar backend frameworks.
• Strong knowledge of PostgreSQL, relational databases, and SQL optimization.
• Experience building and integrating REST APIs.
• Hands-on experience with Docker and Docker Compose.
• Experience processing and manipulating data using Pandas, NumPy, Polars, PySpark, or similar tools.
• Understanding of asynchronous programming, background jobs, and task-processing systems.
• Experience with Git, GitHub, and Linux-based environments.
• Strong debugging, analytical, and problem-solving skills.

AI & Advanced Development Experience

Practical exposure to one or more of the following is preferred:

• Generative AI and Large Language Models (LLMs)
• OpenAI, Anthropic, Gemini, or open-source model APIs
• RAG (Retrieval-Augmented Generation)
• AI agents and tool-calling workflows
• Prompt engineering and structured AI outputs
• Embeddings and semantic search
• Vector databases such as Pinecone, Qdrant, Weaviate, Chroma, Milvus, or pgvector
• NLP and machine learning model integration
• AI-powered automation and workflow development
• Recommendation, ranking, matching, or classification systems

Full-Stack Exposure

The role is primarily backend-focused; however, basic experience with the following will be an advantage:

• JavaScript / TypeScript
• React / Next.js
• Frontend and backend API integration
• Authentication and authorization
• Dashboard development
• HTML and CSS