Applied AI Engineer

🕒 August 21

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 29%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Dscout

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

☁️ SaaS

🤝 B2B

💰 $70M Series C - Dscout on 2022-03

SaaS • B2B

Dscout is an experience research SaaS platform that helps teams recruit engaged participants, run usability tests, field studies, diary studies, interviews and media-rich surveys, and analyze qualitative and quantitative feedback. It provides a verified participant panel (“Scouts”), study templates and admin tools, and AI-assisted tagging and analysis to speed insight discovery and decision-making for product and UX teams.

📋 Description

• Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes • Instrument agent workflows to understand model interactions, tool use, decisions, failures, human edits, and downstream outcomes • Define quality standards, representative evaluation datasets, regression coverage, and production monitoring • Investigate agent underperformance across context, knowledge, instructions, tools, routing, guardrails, and workflow design • Design and ship behavior improvements involving prompting, context construction, decision logic, tool use, and human-review paths • Build backend services, APIs, data models, and feedback pipelines for observable, steerable, and reproducible agent behavior • Run controlled experiments, production replays, and staged rollouts • Partner with Product, Data Science, and Sales to prioritize high-value problems and define customer and business success • Ship with safeguards for privacy, security, reliability, human oversight, and safe operational rollout

🎯 Requirements

• 2-5 years of software engineering experience • Hands-on experience building or operating LLM-powered features or agents in production, not just prototypes or demos • Fluency with prompting and context engineering • Experience building or maintaining AI evaluation harnesses, including offline evaluation sets, LLM-as-judge or human-in-the-loop scoring, and regression detection • Ability to reason about non-deterministic agent behavior across production traffic • Experience running A/B experiments, staged rollouts, or production replays • Track record of shipping features real users depended on and owning post-launch outcomes • High-agency approach to investigating ambiguous performance problems across context, tools, routing, and workflow design • Comfort using AI coding tools such as Cursor, Claude Code, Copilot, or similar • Experience with voice or real-time conversational AI systems preferred • Familiarity with LLM observability/tracing tools such as Braintrust, LangSmith, or Datadog LLM Observability preferred • Experience with agentic orchestration frameworks such as LangChain/LangGraph or similar preferred • Exposure to MCP-based tooling or agentic data workflows preferred

🏖️ Benefits

• A strong and competitive compensation package with a built-in bonus and equity program • Flexible PTO • 15 company holidays • 12 weeks of paid parental leave • 401k match • Education stipend to support growth and development • Remote work stipend • Progressive benefits package for employees and dependents • Open and transparent company culture