Data Science/AI Developer_SA2121

nCircle Tech Pvt. Ltd.; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

nCircle Tech Pvt. Ltd. seeks a data science/AI engineer to advance hybrid modelling that blends CFD/FEA/multiphysics with AI.

You will build AI agents integrated with Simcenter STAR-CCM+ and HyperMesh, design multi-agent orchestration for engineering tasks, and validate approaches on real-world problems across engineering teams. The role requires 3+ years in ML/Data Science, strong Python, and experience with LLMs and agentic AI frameworks.

Qualifications

• 3+ years in Data Science, ML, Applied Mathematics, or closely related field.
• Strong hands-on Python programming experience.
• Hands-on with Large Language Models (LLMs) and agentic AI frameworks beyond basic API integration.
• Ability to evaluate AI solutions for effectiveness, reliability, and practicality.

Responsibilities

• Investigate hybrid modelling approaches combining CFD, FEA, and multiphysics with AI/ML.
• Develop AI agents integrated with simulation tools such as Simcenter STAR-CCM+ and Simcenter HyperMesh.
• Design multi-agent systems to orchestrate complex engineering tasks and decision-making.
• Prototype, benchmark, and validate emerging AI approaches against real-world industrial engineering problems.
• Develop agentic AI workflows involving agent design, tool usage, and orchestration.
• Collaborate with simulation experts, software developers, and AI specialists across business teams.
• Prepare and present technical reports, presentations, and internal demonstrations for engineering and leadership audiences.

Skills

Python

LLMs

Agentic AI frameworks

ML fundamentals

Communication

Tools

Simcenter STAR-CCM+

Simcenter HyperMesh

Job description

• Investigate hybrid modelling approaches combining traditional simulation techniques (CFD, FEA, and multiphysics) with AI/ML.
• Explore and develop AI agents integrated with simulation tools such as Simcenter STAR-CCM+ and Simcenter HyperMesh.
• Design and evaluate multi-agent systems for orchestrating complex engineering tasks and supporting decision-making.
• Prototype, benchmark, and validate emerging AI approaches against real-world industrial engineering problems.
• Develop agentic AI workflows involving agent design, tool usage, and orchestration.
• Collaborate with simulation experts, software developers, and AI specialists across business teams.
• Prepare and present technical reports, presentations, and internal demonstrations for engineering and leadership audiences.

Requirements

• 3+ years of experience in Data Science, Machine Learning, Applied Mathematics, or a closely related field.
• Strong hands-on programming experience in Python .
• Practical experience building solutions using Large Language Models ( LLMs ) and agentic AI frameworks, including agent design, tool use, and orchestration beyond basic API integration.
• Strong understanding of machine learning fundamentals and the ability to critically evaluate AI solutions for effectiveness, reliability, and practical applicability.
• Excellent analytical, problem-solving, and experimentation skills.
• Ability to work independently in ambiguous, exploratory environments with limited specifications.
• Strong written and verbal communication skills, with the ability to explain technical concepts and present findings to engineering teams and leadership.

Good-to-Have Skills:

• Exposure to engineering simulation techniques such as CFD , FEA , and multiphysics, including meshing, solving, and post-processing workflows.
• Familiarity with Simcenter STAR-CCM+, Simcenter HyperMesh, or comparable commercial simulation tools.
• Knowledge of knowledge graphs, multi-agent orchestration, and AI-driven engineering systems.
• Experience with workflow automation tools, MLOps practices, or experiment-tracking platforms.