Key Responsibilities

AI & Application Development

- Build AI Agents: Design, develop, and deploy AI agentic applications, skills which interact with external software, multi-agent workflows, and LLM-powered solutions tailored for engineering workflows.
- Develop Web Apps: Create robust, scalable full-stack web applications utilizing Python and modern backend frameworks.
- API Integration: Design, build, and maintain high-performance RESTful APIs to ensure seamless communication between web applications, AI models, and engineering software.

CAD & Engineering Tool Automation

- Automate 3D Modeling: Write scripts and programs to programmatically generate, modify, and manipulate complex 3D engineering models.
- Workflow Automation & Testing: Develop automated pipelines to push models into engineering simulation software and execute automated testing, stress analysis, or structural validation.
- Tool Integration: Leverage SDKs, APIs, and CLI tools of industry-standard engineering software to extract data and automate manual tasks.

Role Requirements

Technical Skills

- Programming: Strong proficiency in Python and its ecosystem (e.g., FastAPI, Flask, Django).
- AI & LLMs: Experience building applications with LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), and AI agent frameworks (e.g., LangChain, CrewAI, AutoGen, or LlamaIndex).
- APIs: Extensive experience in developing and consuming REST APIs.
- Data & 3D Formats: Familiarity with handling geometric data, 3D file formats (e.g., IFC, STEP, IGES), or spatial data structures.

Preferred Domain Experience





Direct experience using, developing plug-ins for, or programmatically interacting with at least one of the following engineering tools is highly preferred:

- Plant & Piping Design: AVEVA E3D (Everything3D)
- Structural BIM: Tekla Structures
- Structural Analysis: STAAD.Pro or IDEA Statica
- Mechanical CAD: CATIA v5

Soft Skills & Qualifications

- Experience: 3–6 years of professional experience in software engineering, AI development, or computational design.
- Education: Bachelor’s or Master’s degree in Computer Science, Structural Engineering, Mechanical Engineering, Civil Engineering, or a related field.
- Problem Solving: A strong analytical mindset capable of translating complex physical engineering rules into digital logic and software workflows.
- Communication: Excellent collaboration skills to work effectively alongside domain-expert engineers and product managers.

Under general supervision, develops, codes, test, and debugs new software or enhancements to existing software customers. Requires valuable understanding of business application. Works with technical staff to understand problems with software and resolve them. Resolves customer complaints with software and responds to suggestions for improvements and enhancements from customers. May assist in development of software user manuals. Demonstrates software. Note: If the incumbent is responsible for the development of software for internal use, please match to a position in the Application Development sub-family grouping.

📌 AI Engineer / Full-Stack Developer (Engineering Software Integration) (Bengaluru)
🏢 Cyient
📍 Bengaluru