# Machine Learning Engineer at Wisdom AI

> Onsite · India · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3AWisdom-AI%3A35029bbd-c8cd-448a-8491-65ea639dbea2 (read 2026-11-10).

## Facts (observed)

- Company: [Wisdom AI](https://alderhq.app/companies/wisdom-ai)
- Location text: Bengaluru
- Where it can be done from (inferred): Onsite · India (evidence: "Location lists "bengaluru"")
- Posted: 2026-09-22 (49 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/Wisdom-AI/35029bbd-c8cd-448a-8491-65ea639dbea2
- Skills listed (inferred): LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (India, n 3): p25 ₹26.3L, median ₹32.9L, p75 ₹38.5L

## Description (the employer's text)

We are WisdomAI.

We exist to help people unlock clarity from complexity.

WisdomAI builds AI-powered analytics that put answers directly in the hands of the people closest to the business. Our platform doesn’t just surface insights — it explains the why behind them, helping teams move from data to decisions with speed, confidence, and context.

We’re trusted by companies like Cisco, Patreon, and Rubrik — and we’re just getting started.The problems here are hard, and the expectations are high. Our team is energized by both. If you’re compelled by ambitious problems, high standards, and meaningful ownership, you’ll thrive here.

### Role

We are looking for exceptional ML/NLP engineers to join our team. We are working on fundamental problems in LLM based code-generation, document understanding, context synthesis and LLM based agents. Our team consists of experts from companies like Glean, Apple, Rubrik, Google and Meta.

### What you will do

Build workflows/agentic pipelines for complex analytical workloads.

Design evaluation framework and carry out evaluations of our query processing engine.

Work closely with customers and founders to define the product and engineering roadmap.

Shape up the engineering culture and tech stack for the company.

### You have

Strong analytical skills and proven ability to work with hard NLP problems.

Background in search/retrieval, LLMs, and evaluation pipelines is plus.

Experience working in startup/fast paced teams is highly desirable.

Bachelor's or Master's degree in Computer Science or related field.

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### Our CRAFT

CRAFT isn’t a list of aspirational values. It’s how we hire, how we promote, how we resolve hard calls, and how we stay honest with ourselves.

C — Customer trust. Everything starts here. We listen carefully, act with integrity, and respond with urgency. Delight is downstream of trust — never the other way around.

R — Relentless on outcomes. We move with urgency, take initiative, and see things through. Effort isn’t the measure — results are. If something isn’t working, we change the approach now.

A — Authenticity. We say the hard things, directly and with respect. We also show up as full humans. That combination is how trust is earned and how we grow together.

F — First principles, grounded in reality. We don’t accept “that’s how it’s done.” We strip problems to what’s actually true and build up from there — then validate quickly and let real-world results decide.

T — Transparency. We share the why, not just the what. When something can’t be shared, we say so. We’re one team — information flows so we can do our best work and challenge each other when we’re wrong.

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### Equal opportunity employer

WisdomAI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. We are committed to building a diverse, inclusive team where everyone can do their best work.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3AWisdom-AI%3A35029bbd-c8cd-448a-8491-65ea639dbea2 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.
