Ather AI enablement engineer job 2026 for 0-2 years, Bengaluru
The Ather AI enablement engineer job is a role for people with 0 to 2 years of experience at Ather Energy's IBC Knowledge Park office in Bangalore. You would join the AI Enablement Team and report to its lead. Ather wants a Bachelor's in Computer Science, Engineering or a related field, or equal practical experience, plus a portfolio of AI experiments or automations. The listing was posted on 28 October 2026 and was live on Ather's careers board on 4 November 2026.
Ather is the electric scooter maker behind the Ather 450X, 450S, 450 Apex and Rizta. This role does not work on the scooters. It helps the rest of the company use generative AI well in daily work.
What the AI Enablement team does at Ather
Ather says this team turns the promise of generative AI into daily practice. It works across engineering, design, operations, supply chain and business teams. It puts AI tools into real workflows, finds the use cases worth the effort and builds guides so the habit sticks.
The listing describes the person it wants as "equal parts tinkerer and translator". In practice that means two jobs in one. You try new AI tools and write Python to make them useful. Then you explain them clearly to people who do not code. You also set up tests and quality checks so the AI output can be trusted.
A week of work, from prompts to evals
The responsibilities on the page cover a wide range. You will find tasks where AI can help a team, scope them and move them from a trial into daily use. You will test prompt versions in a planned way and keep a shared library of prompts, templates and best-practice guides.
Writing is a big part of the job. You will write how-to guides and quick reference notes, and help run internal training for non-technical teams. You will also track new AI models, tools and trends, and test them against real business uses.
On the technical side, you will write Python scripts and light integrations that automate work and clear blockers for colleagues. You will build and maintain evaluation suites, called evals, using curated golden test sets. These score AI output on accuracy, relevance and groundedness. Last, you will run red-teaming, edge-case probing and spot checks on high-visibility workflows, to set guardrails against made-up answers and outputs that break the rules.
Must-have and good-to-have skills
The Ather AI enablement engineer listing names four must-have skills:
- Python scripting and light automation, including REST API integration and Git or GitHub version control.
- Hands-on prompt engineering across modern foundation models, with output that is reliable and repeatable for business use.
- Practical use of AI evaluation frameworks such as DeepEval, Promptfoo or Ragas, to score accuracy, relevance and hallucination rates.
- Working knowledge of LLM tracing tools such as LangSmith or Langfuse.
The good-to-have list adds red-teaming and failure-mode testing, reusable prompt libraries, light workflow orchestration that links internal software, and the design of golden evaluation datasets built from real user interactions.
Ather has not published a salary, a closing date or the number of openings.
Evals, red-teaming and tracing, explained simply
General context for freshers. These terms are not defined on the Ather listing.
An eval is a test for an AI system. You collect a set of questions with known good answers. This is the golden set. Then you run the AI on every question and score each reply. When someone changes a prompt or a model, you run the eval again and see if scores went up or down.
Red-teaming means trying to break the system on purpose. You feed it tricky, odd or misleading inputs and note where it fails. Tracing tools such as LangSmith and Langfuse record each step an AI app takes, so you can see where a bad answer came from.
Building a portfolio for this role
The listing asks every Ather AI enablement engineer applicant for a portfolio. Here is a plan we suggest. It is not part of the listing.
- Pick one real task, such as sorting support emails or summing up meeting notes.
- Write a Python script that calls an LLM API to do it, and keep the code on GitHub.
- Build a golden set of 30 to 50 examples with the answers you expect.
- Score the script with an open-source tool such as Promptfoo or DeepEval, then change the prompt and score it again.
- Write a one-page guide that a non-technical person could follow to use your tool.
That one project touches almost every line in the Ather AI enablement engineer listing: Python, APIs, prompts, evals and clear writing.
Who this role suits
The role suits a CS or engineering graduate with up to 2 years of experience who has already built AI experiments and likes to explain things. If you enjoy writing guides as much as code, this is a good match.
It is a weaker fit if you want to train machine learning models from scratch, since the listing is about using and testing existing models. It is also a weak fit if you have no AI project to show yet, because the portfolio is listed as a requirement.
Ather AI enablement engineer questions
Can a fresher apply?
Yes. The range is 0 to 2 years, but you need a portfolio of AI experiments or automations.
Is this a remote job?
The listing names IBC Knowledge Park, Bangalore as the location. It does not mention remote work.
Do I need an engineering degree?
Ather asks for a Bachelor's in Computer Science, Engineering or a related field, or equal practical experience.
Applying through Ather's careers portal
Apply on the official Ather Energy careers listing. The page runs on Darwinbox and loads in the browser, so give it a moment to open. Add your GitHub and portfolio links where the form allows.
Scam note, our general advice: Ather's listing does not mention any fee, and no real employer charges you to apply. If anyone asks for money for an Ather AI enablement engineer offer, it is a scam.
See more jobs for engineering graduates and jobs open to BCA and B.Sc graduates. Related AI roles on Classic Jobs include the Abstrabit AI engineering intern, the Zamp AI solutions analyst, the Happiest Minds GenAI engineer and the HCLTech generative AI analyst.