Ingénieur Backend Senior (Python, SQL et intégration IA)

Python Backend Developer

Location: Gurugram | Hyderabad | Noida • Hybrid (3 days/week from office)

Role Overview

Turing is looking for Python Backend Developers to join our Digital & Technology team, building backend systems, data pipelines, and LLM-powered automation workflows that bring financial data to life across internal and client-facing platforms. The right candidate combines strong engineering craft with comfort around financial data and the communication skills to work across business and technical teams.

Key Responsibilities

Backend Development: Design, build, and maintain Python-based backend services, APIs, and data pipelines; manage and optimize PostgreSQL databases (schema design, query optimization, migrations) in collaboration with data engineers and analysts.

Process Automation & AI: Build and operate LLM-powered automation workflows with human-in-the-loop review for edge cases, defining escalation logic and audit trails so every automated decision is explainable; partner with product/ops to identify and engineer automation opportunities.

Finance & Data: Apply working knowledge of financial concepts (cash flows, valuations, portfolio metrics, lease accounting) to build systems that handle financial data correctly, validate pipeline integrity, and support finance/investment teams with reporting tooling.

DevOps & Infrastructure: Own the full development lifecycle, local dev through CI/CD to production, using Git, Docker, and cloud platforms (AWS/Azure/GCP); monitor system health, manage incident response, and contribute to infrastructure-as-code standards.

Collaboration & Communication: Translate technical concepts for non-technical stakeholders, write clear documentation, and act as a trusted technical partner, asking the right questions and pushing back when requirements are unclear.

Required Qualifications

Skill

What We Are Looking For

Python

Strong proficiency for backend development, APIs, and data processing; familiarity with FastAPI, Flask, or Django.

PostgreSQL

Hands-on experience with query optimization, indexing, schema design, and ORMs (SQLAlchemy or equivalent).

LLM Automation & Human-in-the-Loop

Practical experience building LLM-powered workflows (OpenAI, Anthropic, or open-source) with prompt engineering, agent frameworks (LangChain or similar), review queues, confidence scoring, and escalation logic.

Finance Background

Working knowledge of financial concepts relevant to commercial real estate or capital markets, valuations, lease terms, cash flows, portfolio/fund reporting.

DevOps

Proficiency with Git, CI/CD, containerization (Docker/Kubernetes), and cloud platforms (AWS/Azure/GCP); IaC experience is a plus.

Preferred Qualifications

7+ years in backend software development, ideally with exposure to commercial real estate, investment management, or financial services.

Familiarity with vector databases, RAG pipelines, multi-agent orchestration, or workflow automation tooling for business operations.

What Success Looks Like

In the first 90 days, you will have shipped at least one production-grade automation that replaces or accelerates a manual process. Within six months, you will own a core service end-to-end, from design through monitoring, with readable code, current documentation, and pull requests that spark useful conversations.