
51 - 200 employees
Founded 2011
💼 Consulting
🏥 Healthcare
📣 Marketing
💰 $70M Series C on 2022-03
Consulting • Healthcare • Marketing
dscout is a research platform that offers a flexible experience research platform supported by an industry-leading participant pool. It enables researchers to recruit and field studies quickly, analyze data for insightful results, and share insights effectively. dscout is designed for both moderated and unmoderated studies, and emphasizes understanding participants' opinions and behaviors through various research methods including usability testing and concept testing. It serves multiple industries such as retail, technology, and healthcare, offering seamless integration with tools like Figma, Slack, and Miro. The platform focuses on high-quality insights that impact product quality and decision-making processes.
🕒 August 21
🇮🇳 India – Remote
⏰ Full Time
🟢 Junior
🟡 Mid-level
🤖 AI Engineer
🚫👨🎓 No degree required
👻 Ghost score 29%
Where this job comes from
Posted on dscout's careers page, not through a job board
First seen by Remote Rocketship August 21
Still open on dscout's site. Checked 12 hours ago.

51 - 200 employees
Founded 2011
💼 Consulting
🏥 Healthcare
📣 Marketing
💰 $70M Series C on 2022-03
Consulting • Healthcare • Marketing
dscout is a research platform that offers a flexible experience research platform supported by an industry-leading participant pool. It enables researchers to recruit and field studies quickly, analyze data for insightful results, and share insights effectively. dscout is designed for both moderated and unmoderated studies, and emphasizes understanding participants' opinions and behaviors through various research methods including usability testing and concept testing. It serves multiple industries such as retail, technology, and healthcare, offering seamless integration with tools like Figma, Slack, and Miro. The platform focuses on high-quality insights that impact product quality and decision-making processes.
• 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
• 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
• 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
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