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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.
- Robust 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 .

📌 AI Engineer (Bengaluru)
🏢 Weekday AI
📍 Bengaluru