AI Engineer - Reinforcement Agent / BIM Geometry Automation

Location

India / Remote / Hybrid

About the Role

We are building an AI-powered reinforcement agent that can generate, validate, and edit reinforcement for structural elements such as walls, slabs, beams, columns, and precast components.

This is not a generic chatbot or RAG role. The work sits at the intersection of:

- AI agents and structured reasoning

- Computational geometry and 3D/2D shape handling

- BIM / IFC workflows

- Rule-based engineering automation

- Reinforcement detailing logic

We are looking for an engineer who can help design and build a production-grade system that understands element geometry, engineering intent, detailing rules, and output constraints, and converts them into reinforcement layouts, shape definitions, and downstream deliverables such as BBS, IFC-ready outputs, and visual review workflows.

What You Will Work On

- Build an AI-assisted reinforcement generation engine for structural concrete elements.

- Convert geometry inputs into reinforcement intent, bar layouts, and deterministic outputs.

- Design systems that combine LLMs, rule engines, and geometric algorithms rather than relying only on prompting.

- Work with IFC/BIM data, element geometry, local coordinate systems, openings, drilling zones, covers, hooks, laps, bend radii, and edge conditions.

- Develop logic for reinforcement placement across walls, slabs, beams, columns, and precast elements .

- Build validation workflows to check engineering constraints, collisions, spacing, cover, continuity, and constructability.

- Generate structured outputs for downstream rendering, editing, and BBS workflows.

- Support visual review flows where users can inspect, edit, and approve generated reinforcement .





- Improve the agent’s reliability on edge cases through evals, test datasets, deterministic checks, and debugging tools .

- Collaborate closely with product, structural engineering, and frontend/viewer teams .

Key Responsibilities

- Design backend services and workflows for reinforcement-agent execution.

- Build geometry-aware processing pipelines from IFC / extracted element data .

- Implement reinforcement placement logic using structured engineering rules.

- Create schemas for engineering intent, bar sets, bar positioning, and output validation .

- Integrate LLM/agent components where they genuinely add value, such as reasoning over engineering context, exception handling, or workflow orchestration.

- Ensure outputs are deterministic, traceable, and debuggable .

- Build or integrate tools for bar visualization, review, and correction.

- Write tests for critical edge cases including openings, corners, peripheral bars, lifters, face mesh interaction, and shape generation.

- Contribute to production deployment, monitoring, and performance optimization .

Must-Have Skills

- Strong Python experience.

- Strong backend engineering experience with APIs and production systems .

- Experience building AI/agent systems using structured outputs, tool use, workflow orchestration, or LangGraph-like systems.

- Valuable understanding of computational geometry,



coordinate systems, transformations, and rule-based logic .

- Experience handling structured engineering or CAD/BIM-like data.

- Ability to break complex domain logic into deterministic, testable modules .

- Comfort working with LLMs as one component in a larger system rather than as the entire solution.

- Strong debugging and systems thinking .

Strongly Preferred

- Experience with IFC, BIM, IfcOpenShell, CAD/CAM, Revit, Allplan, Tekla, or similar ecosystems.

- Experience with reinforcement detailing, rebar modeling, BBS generation, or structural engineering workflows .

- Understanding of concepts such as cover, spacing, hooks, bend radius, lap lengths, anchorage, edge bars, opening reinforcement, mesh placement, and constructability.

- Experience with 3D viewers or geometry visualization pipelines.

- Experience with OpenCV / OCR / drawing extraction for engineering drawings.

- Experience building review tooling, QC pipelines, or human-in-the-loop engineering systems.

Nice to Have

- Structural or civil engineering exposure.

- Experience with Three.js, WebGL, or browser-based model viewers.

- Experience with optimization and search in geometric layouts.

- Familiarity with shape-code systems , reinforcement catalogs, and regional detailing standards.

- Experience creating evaluation datasets and benchmark workflows for engineering AI systems .

What Success Looks Like

In this role, success means you can help us move from “interesting prototype” to a robust system that:

- Understands element geometry correctly.

- Places reinforcement using explicit engineering logic.

- Handles real-world edge cases.

- Produces structur

📌 Ai Engineer -bim Geometry Automation (Hyderabad)
🏢 Nexifyr Consulting
📍 Hyderabad