饾棫饾椀饾椂饾榾 饾椏饾椉饾椆饾棽 饾椂饾榾 饾棾饾椉饾椏 饾椉饾椈饾棽 饾椉饾棾 饾榿饾椀饾棽 饾棯饾棽饾棽饾椄饾棻饾棶饾槅'饾榾 饾棸饾椆饾椂饾棽饾椈饾榿饾榾
饾棪饾棶饾椆饾棶饾椏饾槅 饾椏饾棶饾椈饾棿饾棽: 饾棩饾榾 饾煴饾煬饾煬饾煬饾煬饾煬饾煬 - 饾棩饾榾 饾煭饾煴饾煬饾煬饾煬饾煬饾煬饾煬 (饾椂饾棽 饾棞饾棥饾棩 饾煴饾煬-饾煭饾煴饾煬 饾棢饾棧饾棓)
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