You'll 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 optimise 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 what's possible with AI observability and agentic AI.
Responsibilities
- 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. You'll own deployments that move the needle for our customers.
- Engineer Bespoke AI and Agentic Solutions: Design, develop, and deploy custom intelligent agents and AI observability architectures tailored to each customer's data ecosystem and business objectives, leveraging frameworks like LangChain, LlamaIndex, and modern orchestration tools.
- Architect Data and Integration Pipelines: Own the data lifecycle, from modelling and transformation to secure, high-throughput pipelines using technologies such as Snowflake, Databricks, Airflow, Kafka, and S3 You'll ensure AI systems are production-grade, performant, and explainable.
- Lead Rapid Prototyping and Iteration: Work side-by-side with customer teams to build proofs-of-concept and minimum viable products that showcase Fiddler's 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.
- Evangelise Best Practices in AI Observability: Guide customers toward responsible AI deployment through robust monitoring, drift detection, explainability, and compliance workflows powered by Fiddler's platform.
- Mentor and 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.
Requirements
- 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 modelling, pipelines, and enterprise integration patterns.
- Exceptional communication and collaboration skills; able to translate deep technical concepts into business impact.
- Demonstrated leadership in customer-facing engagements, balancing technical rigour with empathy and pragmatism.
- Entrepreneurial mindset with a bias for action, creativity, and ownership.
- Hybrid position for Bengaluru, with 2 days working in the 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, and Azure), and MLOps frameworks (MLflow, Kubeflow, and 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.
This job was posted by Shruti Srinivas from Fiddler AI.
