Senior Python Developer

Uplers; Bhopal; Remote; INR 1,500,000 - 1,900,000; Full time

Job summary

A semantic intelligence platform is seeking a skilled backend developer with 5+ years in Python. The role emphasizes building FastAPI services and developing ETL pipelines for transforming unstructured data. Ideal candidates will have strong experience with FastAPI, Pydantic, and a test-driven mindset. You will collaborate closely with a small team in a remote environment, driving impactful solutions in AI infrastructure. This role offers a competitive remote work opportunity and fosters a dynamic startup culture.

Qualifications

• 5+ years Python in production environments.
• Strong FastAPI and async Python experience.
• Solid Pydantic v2 proficiency.
• Test‑driven mindset with comprehensive Pytest coverage.
• Experience building ETL or data processing pipelines.
• Familiarity with LLM APIs (OpenAI, Anthropic, or similar).

Responsibilities

• Build and maintain FastAPI services powering our multi‑tenant backend.
• Develop Python ETL pipelines that ingest and transform unstructured data.
• Write well‑tested, production‑grade code with Pytest.
• Use Pydantic for schema design, validation, and structured LLM output handling.
• Contribute to the agentic AI layer — tool definitions, orchestration logic, LLM integration.
• Collaborate on Neo4j data modeling and participate in architecture discussions.

Skills

Python

FastAPI

Pydantic

Pytest

ETL

Collaboration

Docker

Neo4j

LangGraph

Tools

Neo4j

OpenAI API

AWS

Docker

AWS

Job description

Job Details

Experience: 5+ years; Salary: Confidential; Notice Period: 7 Days; Shift: Asia/Kolkata (IST); Opportunity Type: Remote; Placement Type: Full Time Contract (6 Months, 40 hrs/week, 160 hrs/month).

About Us

We are a semantic intelligence platform that transforms unstructured organisational data into queryable knowledge graphs powered by agentic AI. We serve enterprise clients across pharma, finance, and regulated industries — helping them unlock institutional knowledge through Graph RAG and multi‑agent AI systems.

The Role

You’ll be a key contributor to our backend — working across ETL pipelines, FastAPI services, and the agentic AI workflows that power our intelligence layer. You’ll collaborate closely with the CTO and a small senior team, contribute to architecture discussions, and bring your own thinking to the problems we’re solving.

What You’ll Work On

• Build and maintain FastAPI services powering our multi‑tenant backend
• Develop Python ETL pipelines that ingest and transform unstructured data into knowledge graphs
• Write well‑tested, production‑grade code with Pytest across unit, integration, and pipeline levels
• Use Pydantic for schema design, validation, and structured LLM output handling
• Contribute to the agentic AI layer — tool definitions, orchestration logic, LLM integration
• Collaborate on Neo4j data modeling and participate in architecture discussions

What We’re Looking For

• 5+ years Python in production environments
• Strong FastAPI and async Python experience
• Solid Pydantic v2 proficiency
• Test‑driven mindset with comprehensive Pytest coverage
• Experience building ETL or data processing pipelines
• Familiarity with LLM APIs (OpenAI, Anthropic, or similar)
• Collaborative, communicative, and comfortable in a fast‑moving startup environment

Nice to Have

• Neo4j / Cypher
• LangGraph
• RAG / vector databases
• Regulated industry background
• Multi‑tenant SaaS

Technical Stack

• Python
• FastAPI
• Pydantic
• Pytest
• Neo4j
• LangGraph
• OpenAI API
• AWS
• Docker

How We Work

• ClickUp for tasks
• Slack for communication
• Google Meet for calls — async‑first, minimal meetings, no micromanagement. Small team means your contributions ship fast and your impact is visible.

Application Process

• Step 1: Click “Apply!” and register or login on our portal.
• Step 2: Complete the screening form & upload updated resume.
• Step 3: Increase your chances to get shortlisted & meet the client for the interview.

If you’ve built production Python systems, care about clean architecture, and want to contribute to AI infrastructure that enterprises actually use — we’d like to hear from you.