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Senior Backend Engineer (Python, SQL & AI Integration)

per hour
Contractor On-site Last verified 21 Jul 2026
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About the Role

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

What You'll Do

  • 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.

You're a Good Fit If You

  • Required skills: Python, SQL, GCP AppEngine
  • Skill
  • 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

Role Highlights

Pay
Pay varies
Contract
Contractor
Location
On-site
Category
Coding
Posted
27 days ago
Job ID
WE-8095

Pay & Payout

Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.

Common Questions

Turing has a reliability rating of very reliable based on the listings we track, with an onboarding time of 5-14 days. See our full Turing review for the details behind that rating.

Applying takes you to Turing's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.

Pay varies - Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.

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.

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