What you'll do:
Design and implement LLM-powered systems and scalable agentic workflows in production.
Build robust data processing pipelines for evaluation datasets, and feedback loops.
Work closely with customers to deeply understand their workflows and deliver products that meaningfully impact their systems
Apply novel research ideas and build production systems that advance the frontier of self-improving AI systems
Contribute to technical blogs and research implementations that strengthen our technical foundation

What we look for:
Strong experience building large-scale LLM-powered or agentic systems in production environments
Solid research taste, especially in evaluation design, post-training methods, and model improvement workflows
Desire to own problems end-to-end and deliver measurable outcomes
Ability to work directly with customers
Obsession with detail, code quality, and clean, modular system design




Strong ownership mentality and ability to thrive in a rapid-paced startup environment
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

Advantages and perks
Market-competitive salary plus meaningful equity package
Comprehensive medical benefits and generous PTO
Flexible work arrangements
Direct impact on company direction and technical decisions
High ownership and the opportunity to make a career-defining impact

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 Parallel Web, Essential AI, MIT, Apple, and Amazon.

📌 Applied Ai Engineer Bengaluru
🏢 NeoSigma
📍 Bengaluru