Emergent

4 weeks ago

AI Agent Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 58 minutes agoStatus: Live

Job Summary

Lead end-to-end development of AI agents that plan, build, test, and ship real software at global scale. Own experimentation, measurement, and rollout of agent capabilities, balancing product goals with reliability. Collaborate across product, engineering, and applied research to define success metrics and live-ready improvements.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Develop deep, evidence-grounded intuition for how the agent thinks, succeeds, and fails across the full range of real-world use
•Mine production behavior for the failure modes, regressions, and bottlenecks most teams never see, and turn them into clear, quantitative signal
•Define and run high-leverage experiments that improve agent quality, reliability, and code outcomes, spanning prompt tuning, eval dataset creation, experimentation, and harness engineering
•Build and evolve evaluation frameworks that measure agent quality at scale: define the metric, build the dataset, validate it against known signals, and ship dashboards that make regressions impossible to miss
•Ship with rigor through clear metrics, evaluation gates, staged rollouts, and explicit rollback criteria
•Drive the hard problems in context engineering, memory systems, tool use, and long-horizon execution, where agent reliability is actually won or lost
•Make hard calls in subjective, probabilistic systems: when a regression is real, when a win is noise, when a benchmark is overfit, when to ship on mixed signals, and when to kill a promising direction
•Think like the agent and continuously make it smarter, more reliable, and more useful

Pay and Benefits

Perks:Meal AllowanceFamily InsurancePaid LeaveFlexible Hours

Key Requirements

•5+ years building and shipping software, with real end-to-end ownership
•At least 1 year of hands-on experience with agentic systems and their evaluation
•Strong systems thinking paired with sharp product judgment
•Hands-on with experimentation, metrics, and debugging, fluent in Python, SQL, or similar for analysis
•Comfortable reasoning about noise, confounds, distribution shift, and selection effects

Experience:5+ yearsAILLMsAgents

Skills:PythonSQLExperimentationProduct judgmentSystems thinking

Languages:English

Tech Stack:PythonSQLLLMs

Company Brief

Emergent

Provides a platform for orchestrating autonomous AI agents and workflows, enabling teams to build, deploy, monitor, and scale agent-driven applications and automations across business processes.

Industry: AI & Machine Learning

Growth: Early Stage Startup

Website

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Emergent

4 weeks ago

AI Agent Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 58 minutes agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Develop deep, evidence-grounded intuition for how the agent thinks, succeeds, and fails across the full range of real-world use
•Mine production behavior for the failure modes, regressions, and bottlenecks most teams never see, and turn them into clear, quantitative signal
•Define and run high-leverage experiments that improve agent quality, reliability, and code outcomes, spanning prompt tuning, eval dataset creation, experimentation, and harness engineering
•Build and evolve evaluation frameworks that measure agent quality at scale: define the metric, build the dataset, validate it against known signals, and ship dashboards that make regressions impossible to miss
•Ship with rigor through clear metrics, evaluation gates, staged rollouts, and explicit rollback criteria
•Drive the hard problems in context engineering, memory systems, tool use, and long-horizon execution, where agent reliability is actually won or lost
•Make hard calls in subjective, probabilistic systems: when a regression is real, when a win is noise, when a benchmark is overfit, when to ship on mixed signals, and when to kill a promising direction
•Think like the agent and continuously make it smarter, more reliable, and more useful

Pay and Benefits

Perks:Meal AllowanceFamily InsurancePaid LeaveFlexible Hours

Key Requirements

•5+ years building and shipping software, with real end-to-end ownership
•At least 1 year of hands-on experience with agentic systems and their evaluation
•Strong systems thinking paired with sharp product judgment
•Hands-on with experimentation, metrics, and debugging, fluent in Python, SQL, or similar for analysis
•Comfortable reasoning about noise, confounds, distribution shift, and selection effects

Experience:5+ yearsAILLMsAgents

Skills:PythonSQLExperimentationProduct judgmentSystems thinking

Languages:English

Tech Stack:PythonSQLLLMs

Company Brief

Emergent

Provides a platform for orchestrating autonomous AI agents and workflows, enabling teams to build, deploy, monitor, and scale agent-driven applications and automations across business processes.

Industry: AI & Machine Learning

Growth: Early Stage Startup

Website