Senior Backend And Infra Engineer

Weekday AI (YC W21); Bengaluru; On-site; INR 10,000,000 - 18,000,000; Full time

Job summary

Weekday AI (YC W21) in Bengaluru, India, is seeking an experienced AI Research & Engineering professional to develop next-generation AI systems. The role focuses on building environments, infrastructure, evaluation, and high-quality enterprise data to enhance advanced AI models.

You will work at the intersection of AI research, software engineering, reinforcement learning, agentic systems, model evaluation, and data to develop scalable solutions that measure and improve model capabilities.

Qualifications

• 5+ years of professional experience in AI/ML engineering, software engineering, or related technical discipline.
• Strong fundamentals to engineer production-grade, scalable systems.
• Proficiency in Python and modern software practices.
• Experience with LLMs, generative AI, AI agents, reinforcement learning, or model evaluation.
• Ability to design evaluation frameworks, benchmarks, datasets, or automated tests for AI/ML models.

Responsibilities

• Design and develop reinforcement learning environments for AI tasks.
• Build infrastructure and tooling for interaction with realistic environments.
• Develop evaluation frameworks, benchmarks, and testing systems for model capabilities.
• Design evaluation datasets, task suites, scoring, and automated assessment pipelines.
• Collaborate with researchers and engineers to translate research into production-quality systems.
• Create automated testing, monitoring, and quality-control for AI workflows.
• Develop scalable data pipelines for enterprise AI data.

Skills

AI/ML engineering

Python programming

System design

Experimentation

Data processing

Cloud platforms

CI/CD

Education

Bachelor's or Master's in CS/AI/ML/Engineering

Tools

Cloud platforms

Containers (Docker/Kubernetes)

Databases

CI/CD

Job description

Job Description:

This role is for one of the Weekdays clients

Salary range: Rs 10000000 - Rs 18000000 (ie INR 90-180 LPAA)

Experience: 5+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for an experienced AI Research & Engineering Professionalto contribute to the development and improvement of next-generation AI systems in collaboration with leading frontier AI research organisations.

The role focuses on building the infrastructure, environments, evaluations, and high-quality enterprise data required to improve advanced AI models. You will work at the intersection of AI research, software engineering, reinforcement learning, agentic systems, model evaluation, and data to develop solutions that help measure and enhance the capabilities of increasingly sophisticated AI systems.

Key Responsibilities

• Design and developreinforcement learning environmentsfor coding, reasoning, and agentic AI tasks.
• Build infrastructure and tooling that enables advanced AI models to interact with realistic environments and complete complex tasks.
• Develop robustevaluation frameworks, benchmarks, and testing systemsto measure model capabilities and behaviour.
• Design evaluation datasets, task suites, scoring mechanisms, and automated assessment pipelines.
• Work with coding agents and agentic systems to evaluate planning, execution, reasoning, and task completion.
• Develop scalable data pipelines and workflows for collecting, processing, validating, and managing enterprise AI data.
• Improve data quality, consistency, coverage, and usability for model training and evaluation.
• Analyse model outputs and evaluation results to identify capability gaps, failure patterns, and opportunities for improvement.
• Build tools that enable reproducible experimentation and reliable comparison of model performance.
• Collaborate with AI researchers and engineers to translate research requirements into production-quality systems.
• Design and implement automated testing, monitoring, and quality-control mechanisms for AI workflows.
• Investigate challenging technical problems involving model behaviour, evaluation reliability, data quality, and agent performance.
• Contribute to experimentation involvingLLMs, reinforcement learning, AI agents, and model evaluation.
• Develop internal tools, frameworks, and reusable infrastructure to accelerate AI research and engineering workflows.
• Document technical approaches, experimental results, evaluation methodologies, and system designs.
• Continuously improve the reliability, scalability, and efficiency of AI research and production infrastructure.
• Stay current with developments infrontier AI, agentic systems, reinforcement learning, evaluation methodologies, and AI engineering.

What Makes You a Great Fit

• 5+ years of professional experiencein AI/ML engineering, software engineering, machine learning research, data engineering, or a closely related technical discipline.
• Strong software engineering fundamentals with experience buildingproduction-grade, scalable systems.
• Strong programming skills inPythonand proficiency with modern software development practices.
• Experience working withLLMs, generative AI, AI agents, reinforcement learning, or model evaluation.
• Practical experience designing evaluation frameworks, benchmarks, datasets, or automated testing systems for AI/ML models.
• Understandingofreinforcement learning environments, agentic workflows, or interactive AI systems is highly valuable.
• Strong analytical and problem-solving skills with the ability to investigate complex model and system behaviour.
• Experience working with structured and unstructured data and building reliable data-processing workflows.
• Strong understanding of experimentation, reproducibility, metrics, benchmarking, and statistical evaluation.
• Ability to translate ambiguous research problems into well-defined engineering solutions.
• Experience building APIs, services, infrastructure, developer tooling, or distributed systems is an advantage.
• Familiarity with cloud platforms, containers, CI/CD, databases, and modern engineering infrastructure.
• Strong attention toaccuracy, reliability, data quality, and reproducibility.
• Ability to collaborate effectively with researchers, engineers, data specialists, and other technical stakeholders.
• Comfortable working in a fast-moving environment where requirements evolve alongside emerging AI capabilities.
• Strong curiosity aboutfrontier AI and the development of increasingly capable and reliable AI systems.
• Bachelors or Masters degree inComputer Science, Artificial Intelligence, Machine Learning, Engineering, or a related technical disciplineis preferred.

Requirements