Customer Success Forward Deployed Engineer

Our Purpose

At Fiddler we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. The rise of Generative AI and Agents has unlocked generalized intelligence but also widened the risk aperture and made it harder to ensure that AI applications are working well. Fiddler enables organizations to get ahead of these issues by helping deploy trustworthy and transparent AI solutions.

Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices which in turn builds trust with their user base. AI Engineers Data Science and business teams use Fiddler AI to monitor evaluate secure analyze and improve their AI solutions to drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the what why and how behind AI outcomes.

Our Founders

Fiddler AI is founded by Krishna Gade (engineering leader at Facebook Pinterest Twitter and Microsoft) and Amit Paka (product leader at Microsoft Samsung Paypal and two-time founder). We are backed by Insight Partners Lightspeed Venture Partners and Lux Capital.

Why Join Us

Our team is motivated to help build trust into AI to enable society harness the power of AI. Joining us means you get to make an impact by ensuring that AI applications at production scale across industries have operational transparency and are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers thinkers creators builders and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.

Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades including: 2022 a16z Data50 list 2021 CB Insights AI 100 most promising startups 2020 WEF Technology Pioneer 2020 Forbes AI 50 most promising startups of 2020 and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team you will help pave the way in the AI Observability space.

The Mission:

Forward Deployed Engineers bring trustworthy AI to life for our customers. Deploying customizing and optimizing complex high-impact AI observability and agentic solutions in the field. A hands-on builder and strategic partner translating customer goals into tangible production-ready systems that deliver measurable business outcomes.

Configuring software and engineering bespoke solutions architect advanced integrations and seen as the technical heartbeat of every engagement. FDEs combine deep technical mastery problem-solving prowess and customer empathy to help organizations operationalize responsible AI at scale.

About the Team:

Youll join a tight-knit team of engineers who thrive at the intersection of AI innovation and customer impact. We collaborate closely with data science and ML engineering teams across leading enterprises to design deploy and optimize AI systems in production.

We work remotely move fast and operate like a startup within a startup curious pragmatic and deeply customer-obsessed. Every engagement is hands-on every problem is unique and every solution you build will push the boundaries of whats possible with AI Observability and Agentic AI.

What Youll Do:

Drive Technical Impact from Concept to Production
Lead the end-to-end delivery of advanced AI solutions; writing critical code building integrations and debugging complex data pipelines and model workflows. Youll own deployments that move the needle for our customers.

Engineer Bespoke AI & Agentic Solutions
Design develop and deploy custom intelligent agents and AI observability architectures tailored to each customers data ecosystem and business objectives leveraging frameworks like LangChain LlamaIndex and modern orchestration tools.

Architect Data & Integration Pipelines
Own the data lifecycle; from modeling and transformation to secure high-throughput pipelines using technologies such as Snowflake Databricks Airflow Kafka and S3. Youll ensure AI systems are production-grade performant and explainable.

Lead Rapid Prototyping & Iteration
Work side-by-side with customer teams to build proofs-of-concept and minimum viable products that showcase Fiddlers capabilities and demonstrate measurable value quickly.

Be the Technical Voice of the Customer
Embed with client engineering and data science teams to deeply understand their goals constraints and architecture. Translate these needs into actionable technical designs while championing their feedback across Product and Engineering.

Evangelize Best Practices in AI Observability
Guide customers toward responsible AI deployment through robust monitoring drift detection explainability and compliance workflows powered by Fiddlers platform.

Mentor & Elevate Technical Teams
Provide hands-on guidance to both internal peers and customer engineers. Set standards for excellence in engineering scalability and trustworthy AI deployment.

What Were Looking For:

• 5 years of experience designing building and deploying production-grade ML or AI systems

• Strong foundation in Computer Science AI/ML or a related engineering discipline

• Expert-level coding skills in Python JavaScript or Java with a focus on building scalable systems

• Proven experience integrating or orchestrating LLM/Generative AI frameworks (LangChain LlamaIndex RAG etc.)

• Deep understanding of data modeling pipelines and enterprise integration patterns

• Exceptional communication and collaboration skillsable to translate deep technical concepts into business impact

• Demonstrated leadership in customer-facing engagements balancing technical rigor with empathy and pragmatism

• Entrepreneurial mindset with a bias for action creativity and ownership

• Hybrid position for Bengaluru with 2 days working in-office

• Willingness to travel up to 25% for on-site customer collaboration

Even Better If You Have:

• Experience with AI Observability tools or model monitoring platforms

• Familiarity with Kubernetes cloud platforms (AWS GCP Azure) and MLOps frameworks (MLflow Kubeflow Argo)

• Prior experience building or deploying agentic or conversational AI in enterprise settings

• Contributions to open-source AI frameworks or community-driven projects

• Understanding of model explainability bias detection and responsible AI practices
  

The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately in determining pay well consider your experience leveling location and other job-related factors.

Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties please inform the recruiter at the beginning of the process.

Beware of job scam fraud. Our recruiters use @ email addresses the US we do not conduct interviews via text or instant message or ask for sensitive personal information such as bank account or social security numbers.

Required Experience:

IC