Deductive AI Logo

Deductive AI

AI Engineer - FDE (Forward Deployed Engineer)

Reposted One Month Ago
Remote
Hiring Remotely in India
Mid level
Remote
Hiring Remotely in India
Mid level
As a Forward Deployed Engineer, drive customer success through AI deployments, optimize systems for reliability, and collaborate with teams to enhance products.
The summary above was generated by AI
About Deductive AI

Deductive is building AI SRE Agents trusted by leading global software companies to troubleshoot and resolve complex production incidents. Our mission is to free engineers and organizations from the burden of constant firefighting, enabling them to focus on building and achieving their greatest potential.

We are a team of world-class AI researchers and engineers with backgrounds spanning UC Berkeley, IIT, Meta, Google, Amazon, Databricks, and ThoughtSpot. We combine deep academic research with hands-on industry experience to push the boundaries of what AI can do for reliability engineering.

Role Overview

As a Forward Deployed Engineer, you’ll work directly with customers to help them realize the value of Deductive during POCs and rollouts. You’ll learn how their teams handle incidents and reliability challenges, then adapt and extend our AI platform to fit their needs. This role blends technical problem-solving with customer collaboration, configuring and fine-tuning Deductive to deliver clear, measurable outcomes. You’ll work closely with our Go-to-Market and Engineering teams, serving as the voice of the customer.

What You’ll Do
  • Own and drive successful deployments of Deductive, guiding customers from scoping and integration through production readiness and measurable impact.

  • Configure and optimize Deductive deployments to fit the use cases in customer environments and deliver value quickly.

  • Act as a trusted technical partner to customers, helping them navigate observability and reliability challenges while shaping effective practices.

  • Build automations and scripts that extend Deductive across observability platforms, codebases, and knowledge systems.

  • Collaborate with Product and Engineering to translate customer insights into product enhancements and reusable best practices.

What We’re Looking For
  • 3+ years of experience as Software Engineer, Platform Engineer or Site Reliability Engineer

  • Strong fundamentals and expertise in cloud infrastructure (e.g. AWS, GCP, Kubernetes) and observability (e.g. Datadog, Grafana, Prometheus, OpenTelemetry)

  • Strong programming skills to build automations using one or more scripting languages (e.g. python).

  • Proven track record in fast-moving, ambiguous situations where both precision and urgency matter.

  • Strong Plus: Experience working directly with customers in roles like Forward Deployed Engineer, Sales or Solutions Engineer.

Why Join Us

At Deductive, you’ll have the opportunity to:

  • Join a team of world-class researchers and builders.

  • Help shape how AI transforms reliability and software engineering and make history.

  • Work directly with some of the world’s most advanced engineering organizations.

  • Be part of a fast-growing startup where your contributions directly shape the product and customer success.

We offer highly competitive compensation, equity, and benefits.

Similar Jobs

One Month Ago
Remote
Senior level
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The AI Engineer will develop and deploy GenAI applications, serve as a technical advisor, and collaborate on strategic initiatives in AI at Databricks.
Top Skills: SparkAWSAzureDatabricks Intelligence PlatformDspyGCPGenaiHuggingfaceLangchainMulti-Agent SystemsPandasPyTorchRagScikit-LearnText2Sql
2 Hours Ago
Remote
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads the architecture, development, and productionization of AI/ML and GenAI solutions for healthcare operations. Responsibilities include building clinical and claims data pipelines, developing LLM and RAG applications, implementing MLOps and LLMOps, ensuring HIPAA-compliant governance, translating business needs into technical roadmaps, communicating with stakeholders, and mentoring engineers.
Top Skills: AirflowAWSAzureAzure MlBigQueryCi/CdDaskDatabricksDockerFaissGCPGitGoHugging FaceJavaKafkaKubernetesLangchainLlamaindexMlflowNeo4JNumpyPandasPgvectorPineconePrefectPytestPythonPyTorchSagemakerScalaSnowflakeSparkSQLTensorFlowTerraformTransformersVertex Ai
9 Hours Ago
Remote or Hybrid
Senior level
Senior level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Facilitate Scrum ceremonies, coach teams on Agile and Jira practices, track delivery metrics, remove impediments, and support product backlog management. The role also assists with project planning, risk management, stakeholder communications, and change management while developing toward full project ownership. It additionally requires information security, compliance, risk management, and Identity and Access Management experience, along with security standards implementation and awareness training.
Top Skills: AgileAtlassian JiraCi/CdDevOpsIdentity And Access ManagementJqlScrum

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account