Member of Technical Staff - Research Engineer

NeoSigma; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary plus meaningful equity package

Comprehensive medical benefits

Generous PTO

Job summary

NeoSigma, located in Bengaluru, India, is seeking a skilled software engineer with over 2 years of experience to design and implement scalable AI evaluation systems. The ideal candidate will have a strong background in Python and cloud technologies like AWS or GCP, and will contribute to impactful technical decisions within a dynamic startup environment. This position offers competitive salary, equity, and the potential for high ownership in defining the company's future direction.

Qualifications

• 2+ years of software engineering experience.
• Previously built scalable agentic systems.
• Strong background in Python and modern web technologies.

Responsibilities

• Design and implement scalable infrastructure for custom AI evaluation systems.
• Build tools and platforms for agentic workflows and alignment techniques.
• Develop data processing pipelines for evaluation datasets and feedback loops.
• Create APIs and interfaces for real-world agent deployment and monitoring.
• Optimize performance and cost of cloud-based ML workloads.

Skills

Python

Distributed Systems

Cloud Infrastructure (AWS, GCP, or Azure)

Data Engineering

ETL Pipelines

Problem-Solving Skills

Education

Bachelor's degree in Computer Science, Engineering, or related field

Job description

• Design and implement scalable infrastructure for custom AI evaluation systems
• Build tools and platforms for agentic workflows and alignment techniques
• Develop data processing pipelines for evaluation datasets and feedback loops
• Create APIs and interfaces for real-world agent deployment and monitoring
• Optimize performance and cost of cloud-based ML workloads
• Contribute to open-source projects and research implementations

Qualifications

• 2+ years of software engineering experience
• Strong background in Python and modern web technologies
• Previously built scalable agentic systems
• Knowledge of distributed systems and cloud infrastructure (AWS, GCP, or Azure)
• Experience with data engineering, ETL pipelines, or ML infrastructure
• Strong problem-solving skills and ability to work in a fast-paced startup environment
• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

Our Core Values

• Customer Obsession - We start with the customer and work backwards. We aim to earn trust through consistent delivery, thoughtful listening, and by obsessing over customers.
• Intellectual Honesty - We operate with high trust and low ego. Ideas matter more than titles, and we communicate openly and directly while assuming good intent, even in strong disagreement.
• Bias for Action - We set high standards and move quickly to meet them. We prefer building and learning with customers over debating in the abstract, and we iterate based on real feedback.
• Extreme Ownership - We take responsibility for outcomes, not just tasks. Ownership means seeing problems through to completion and ensuring solutions truly work in practice.

Benefits and perks

• Competitive salary plus meaningful equity package
• Comprehensive medical benefits and generous PTO
• Direct impact on company direction and technical decisions
• High ownership and the opportunity to make a career-defining impact

As a founding member, you’ll help define the technical foundation of NeoSigma. Your scope will grow with the company, from owning core systems end-to-end to shaping architecture, hiring, and engineering culture. This role has a natural path toward technical leadership or engineering management as the team scales.

About Us

NeoSigma is a product-driven research lab building the intelligence layer that helps close the feedback loop between your customers, products, and AI systems.

We are a small, intensely technical team of researchers and engineers who have trained frontier-scale models and widely used AI products and agents at MIT, Parallel Web, Essential AI, Apple, and Amazon.