Backend Python Developer

Role summary

Owns API and service-layer development for product features, including integration with orchestrator services; owns the Central Orchestrator refactor and extraction decoupling from dependent services, independent deployability, and horizontally scalable design; owns the HITL Review Framework and AI Security and Trust Layer, covering prompt injection protection, data leakage prevention, content filtering, and policy enforcement; and owns the client's risk-and-lessons-learned system API contract, source grounding and citation pipelines, and advancement of that workflow to launch position.

Key responsibilities

• Develop and maintain APIs and service-layer integration for product features
• Integrate product services with the platform orchestrator
• Build artifact generation and export endpoints for the Governance Content and Artifact Suite
• Refactor and extract the Central Orchestrator as an independent module
• Decouple the orchestrator from dependent services and ensure independent deployability
• Design for horizontal scalability
• Make agent routing logic testable in isolation
• Build the Human-in-the-Loop (HITL) Review Framework
• Implement prompt-injection protection and data-leakage prevention controls
• Implement content-filtering and policy-enforcement controls
• Build and maintain the client's risk-and-lessons-learned system API contract
• Build source-grounding and citation pipelines
• Advance the client's risk and lessons-learned workflow to launch position

Required skills & experience

• 5+ years Python API development experience
• Experience integrating services with a central orchestrator or comparable routing layer
• Experience building document / artifact generation and export endpoints
• Solid REST API design skills
• Senior-level Python engineer with strong system design skills
• Hands-on FastAPI and LangGraph experience
• Proven experience decoupling monolithic orchestration logic into modular, independently deployable services
• 5+ years backend engineering experience with a security / trust-and-safety focus
• Experience with content-filtering or policy-enforcement engines
• Familiarity with human-in-the-loop review workflow design and prompt-injection defenses
• Strong Python skills
• 3+ years data engineering experience with API integration and pipeline design
• Experience with source-grounding / citation pipeline design
• Experience with risk-management or lessons-learned enterprise workflow data a plus

Preferred qualifications

• Experience with document templating/export libraries
• Familiarity with FastAPI
• Experience extracting a monolithic orchestrator into a standalone, horizontally scalable service under live delivery pressure
• Experience with isolated/unit-testable routing-logic design
• Experience securing an LLM-facing application specifically against prompt injection
• Familiarity with client-style security sign-off processes
• Direct experience inheriting and advancing a partially-built pipeline to production launch position
• Citation/source-attribution pipeline experience

Education

B.Tech/BCA/MCA in Computer Science or a related field, or equivalent practical experience.