Senior AI Research Engineer

The role

You will characterize, measure, and advance the capabilities of coding agents. You will design evaluations, run training experiments, and architect agent architectures to improve performance.

What you will do

• Architect the next version of the Emergent agent
• Characterize agent behavior at depth
• Design and ship evaluations across reasoning, planning, tool use, code correctness, long-horizon execution, security, and agent reliability
• Drive step-function gains in agent capabilities
• Climb public benchmarks like SWE-bench Pro and Terminal-Bench
• Run training and post-training experiments including supervised fine-tuning, RLHF/RLAIF, DPO, distillation, reward modeling, prompt optimization, and judge-model calibration
• Own end-to-end work from hypothesis through rollout and post-launch measurement
• Make hard calls in subjective and probabilistic systems

Required qualifications

• 5 to 8 years of AI experience
• Experience training and fine-tuning models or designing rigorous evaluations and measurement systems
• Hands-on with the modern AI stack
• Fluent in Python
• Comfortable with transformers, RLHF/DPO/RL for agents, eval frameworks (Inspect, lm-eval-harness, or equivalent), prompt optimization, judge models, and agent frameworks

Nice to have

• Go

Benefits

• Daily Meals: Lunch and Dinner provided
• Family Insurance: 5 Lakhs worth of coverage for you and your family
• Unlimited Paid Time Off
• Flexible Working Hours

About the company

Emergent builds autonomous coding agents that replace traditional software development by generating, testing, and deploying production applications directly from plain-language intent. The company has crossed $130M in Annualised Revenue and is backed by several venture capital firms.