Time since we first saw it
Day 18
Similar jobs usually come down between day 4 and day 77.
At nCircle Tech, jobs usually come down by about day 75.
From 51 similar postings that came down, and 5 of nCircle Tech’s. Coming down is not always a hire.
Data Science/AI Developer__SA2121
Pune, India
Live, first seen by us 18 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingInvestigate hybrid models combining CFD, FEA and multiphysics simulation with AI/ML
Develop AI agents integrated with Simcenter STAR-CCM+ and HyperMesh
Design and evaluate multi-agent systems for complex engineering tasks
Prototype and benchmark emerging AI approaches on real industrial problems
Prepare technical reports and presentations for engineering and leadership
From the employer’s posting
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.
Prepare and present technical reports, presentations, and internal demonstrations for engineering and leadership audiences.
What you’ll bring
All qualificationsCore experience
- 3+ years of experience in Data Science, Machine Learning, Applied Mathematics, or a closely related field.
- Familiarity with Simcenter STAR-CCM+, Simcenter HyperMesh, or comparable commercial simulation tools.
- Practical experience building solutions using Large Language Models (LLMs) and agentic AI frameworks, including agent design, tool use, and orchestration beyond basic API integration.
- Knowledge of knowledge graphs, multi-agent orchestration, and AI-driven engineering systems.
- Strong understanding of machine learning fundamentals and the ability to critically evaluate AI solutions for effectiveness, reliability, and practical applicability.
- Experience with workflow automation tools, MLOps practices, or experiment-tracking platforms.
Qualification wording
3+ years of experience in Data Science, Machine Learning, Applied Mathematics, or a closely related field.
Familiarity with Simcenter STAR-CCM+, Simcenter HyperMesh, or comparable commercial simulation tools.
Practical experience building solutions using Large Language Models (LLMs) and agentic AI frameworks, including agent design, tool use, and orchestration beyond basic API integration.
Knowledge of knowledge graphs, multi-agent orchestration, and AI-driven engineering systems.
Strong understanding of machine learning fundamentals and the ability to critically evaluate AI solutions for effectiveness, reliability, and practical applicability.
Experience with workflow automation tools, MLOps practices, or experiment-tracking platforms.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 26, 202618 days ago
- Recorded sightings
- 18
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
nCircle Tech is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
Where the posting names them
- 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.
Your next step
Complete your application on ncircletech.zohorecruit.com. The employer’s form will show what is required.
Already applied? Track this application
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Pune, India
- 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.