Senior Software Engineer (AI)

DataDog
Paris
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Collaboration","Problem-solving","Teamwork"]

Senior AI Engineer building AI-assisted tools to help Datadog developers be 10x more productive, shipping LLM-powered prompts, agents, and code-editing features; collaborating with designers, PMs, and data scientists to productionize AI systems and integrate with Datadog products in a hybrid, fast-growing SaaS environment.

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FursaFursa
DataDog
DataDog
4 months ago

Senior Software Engineer (AI)

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Senior AI Engineer building AI-assisted tools to help Datadog developers be 10x more productive, shipping LLM-powered prompts, agents, and code-editing features; collaborating with designers, PMs, and data scientists to productionize AI systems and integrate with Datadog products in a hybrid, fast-growing SaaS environment.
Location: Paris
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Work closely with users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
  • •Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
  • •Prototype and see what works well in the real world, iterate closely with our users, and then ship.
  • •Follow the latest research on LLM prompting, agents, and code editing.
  • •Collaborate with other Datadog teams to expand capabilities, e.g., integrating with Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data.

Pay and Benefits

Equity and Bonus:Equity
Perks:RsusEsppLearning BudgetRemote WorkHealth InsuranceGlobal Benefits

Key Requirements

  • •Backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance; shipped software that uses LLMs to production.
  • •Passion for Generative AI and its ability to help software engineers be more productive.
  • •Relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
  • •Excellent communicator who can drive hard technical conversations toward pragmatic solutions.
  • •Experience writing developer tools (e.g., IDEs, static analysis tools, or compilers) and using AI coding tools in day-to-day workflows.
Experience:5+ yearsSaaSCloud
Skills:CommunicationCollaborationProblem-solvingTeamwork
Languages:English
Tech Stack:GoJavaPythonLLMsAI toolingDatadog IDE extensionsDynamic Instrumentation

Company Brief

DataDog
Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2010
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn