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.
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