# AI Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-09-12

**Salary:** INR 6,000,000–15,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟲𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟭𝟱𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟲𝟬-𝟭𝟱𝟬 𝗟𝗣𝗔)

Experience: 2+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for a highly capable and curious **AI / Machine Learning Engineer** to work on advanced AI systems designed to improve the capabilities, reliability, and performance of next-generation models.

The role will focus on building **reinforcement learning environments, coding and agentic workflows, AI evaluation systems, and enterprise data solutions**. You will work on challenging technical problems that contribute to the development and improvement of frontier AI models.

## Requirements

Key Responsibilities

-   Design and develop **reinforcement learning environments** for coding and agentic AI applications.
-   Build task environments, tools, workflows, and infrastructure that enable AI agents to perform complex real-world activities.
-   Develop **AI/LLM evaluation frameworks, benchmarks, and testing systems** to measure model capabilities and behaviour.
-   Create datasets, test scenarios, and evaluation pipelines for advanced AI models.
-   Analyse model performance and identify gaps, failure modes, and opportunities for improvement.
-   Work with **enterprise data** to support AI training, evaluation, experimentation, and model development.
-   Build scalable data-processing pipelines, APIs, tools, and supporting infrastructure for AI workflows.
-   Develop and experiment with agentic architectures, tool-use workflows, and emerging AI techniques.
-   Automate repetitive evaluation, data-processing, and experimentation workflows.
-   Collaborate with ML researchers and engineers to translate research ideas into robust software systems.
-   Troubleshoot complex issues across AI applications, data pipelines, evaluation systems, and infrastructure.
-   Conduct experiments, analyse results, and iterate rapidly based on findings.
-   Contribute to technical design discussions, documentation, testing, and engineering best practices.
-   Stay current with developments in **frontier AI, LLMs, reinforcement learning, AI agents, and model evaluation**.

What Makes You a Great Fit

-   **2+ years of professional experience** in AI/ML engineering, software engineering, machine learning, data science, or a related technical field.
-   Strong programming skills in **Python** and experience building reliable, production-quality software.
-   Solid understanding of **machine learning, LLMs, Generative AI, or reinforcement learning**.
-   Hands-on experience with AI agents, agentic workflows, LLM applications, or tool-using systems is highly desirable.
-   Strong interest in **AI evaluation, benchmarking, model behaviour, and performance improvement**.
-   Experience working with datasets, data pipelines, APIs, or large-scale data-processing systems.
-   Strong software engineering fundamentals, including testing, debugging, Git, and scalable system design.
-   Ability to work effectively on ambiguous, research-oriented, and technically challenging problems.
-   Strong analytical and problem-solving abilities with a willingness to experiment, iterate, and learn quickly.
-   Ability to collaborate effectively with **AI researchers, ML engineers, software engineers, and technical stakeholders**.
-   Strong communication skills with the ability to explain technical approaches, findings, and trade-offs clearly.
-   Genuine curiosity about **frontier AI, autonomous agents, coding agents, reinforcement learning, and next-generation AI systems**.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/D627346969/apply)

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