# AI Product Manager

**Company:** [Weekday AI](null/companies/pxG9rDgnvZm2c86JUchT1j.md)
**Location:** Bengaluru, India
**Workplace:** on site
**Employment type:** Full-time
**Department:** Weekday's Client via platform

[Apply for this job](null/view/5b36a049-7898-4c43-b715-3d453f5733cc)

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟭𝟱𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟱𝟬-𝟭𝟱𝟬 𝗟𝗣𝗔)

Experience: 1+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for a highly motivated **AI / Machine Learning Engineer** to work on advanced AI initiatives focused on improving the capabilities, reliability, and performance of frontier AI models. The role involves building and evaluating sophisticated AI systems across areas such as **reinforcement learning, coding environments, agentic workflows, model evaluations, and high-quality enterprise data**.

The ideal candidate will be excited by rapidly evolving AI technologies and comfortable working on complex, open-ended problems where experimentation, technical depth, and strong problem-solving skills are essential.

## Requirements

Key Responsibilities

-   Design and develop **reinforcement learning environments** for coding, reasoning, and agentic AI applications.
-   Build tools, workflows, and infrastructure to evaluate the capabilities and limitations of advanced AI models.
-   Develop and maintain **LLM evaluation frameworks, benchmarks, and test environments**.
-   Work on coding agents and agentic systems involving multi-step reasoning, tool use, planning, and task execution.
-   Develop high-quality datasets and enterprise data pipelines for AI training, evaluation, and model improvement.
-   Analyse model outputs and identify failure modes, behavioural patterns, and opportunities for improvement.
-   Design experiments to measure model performance across accuracy, reasoning, reliability, safety, and task completion.
-   Build prototypes and proof-of-concepts using modern AI and machine learning techniques.
-   Develop Python-based tools, services, and automation to support AI research and engineering workflows.
-   Collaborate with AI researchers, software engineers, data specialists, and product teams on complex technical problems.
-   Translate research ideas and experimental findings into scalable engineering solutions.
-   Improve the quality, reliability, and efficiency of AI evaluation and data-generation processes.
-   Contribute to technical documentation, experiment design, analysis, and knowledge sharing.
-   Stay current with developments in **LLMs, reinforcement learning, AI agents, model evaluation, and generative AI**.

What Makes You a Great Fit

-   **1+ years of experience** in software engineering, machine learning, AI research, data science, or a related technical field.
-   Strong programming skills in **Python** and the ability to build reliable, maintainable software.
-   Strong interest in **Generative AI, LLMs, AI agents, and frontier model development**.
-   Understanding of machine learning fundamentals, model training, evaluation, and experimentation.
-   Familiarity with **reinforcement learning** concepts and environments is highly desirable.
-   Experience with LLM evaluation, benchmarking, prompt engineering, or AI application development is an advantage.
-   Exposure to **agentic AI systems**, tool calling, multi-step workflows, or autonomous task execution is desirable.
-   Strong analytical and problem-solving skills with the ability to investigate complex model behaviours.
-   Ability to work with structured and unstructured datasets and develop data-processing workflows.
-   Experience with APIs, Git, databases, cloud platforms, or modern software development practices is a plus.
-   Strong curiosity and willingness to work with rapidly evolving AI technologies.
-   Comfortable working on ambiguous problems and iterating quickly through experimentation.
-   Excellent communication and collaboration skills with the ability to work effectively across research and engineering teams.
-   A Bachelor's or Master's degree in **Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Engineering, or a related discipline** is preferred.