Software Engineer, Data Platform

One Month AgoSaved

In-Office

Remote Bengaluru, KA

Senior level

Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy

Build and scale backend APIs, distributed data pipelines, and data platform infrastructure. The role involves lakehouse and warehouse technologies, workflow orchestration, big data frameworks, infrastructure as code, and reliability monitoring. The engineer will design scalable, reliable, cost-efficient systems, collaborate with customers on integrations, and establish engineering best practices for enterprise AI data infrastructure.

Top Skills: Apache AirflowApache IcebergSparkAWSAzureDatabricksDatadogDelta LakeDockerElkGCPGrafanaHadoopKubernetesLuigiPrometheusPysparkPythonSnowflakeTerraform

Deepgram

Account Executive (India)

14 Days AgoSaved

Remote

Remote Bengaluru, KA

Senior level

Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI

Own the India territory end to end by building pipeline, closing full-cycle direct and partner co-sell deals, winning new logos, and expanding accounts. Sell Deepgram’s voice AI platform to technical and business buyers, guide evaluations with Field Engineers, maintain accurate forecasting, represent the company at industry events, and provide customer and market feedback. The role requires self-prospecting, technical sales expertise, Indian market experience, quota-carrying success, and a land-and-expand mindset.

Top Skills: APIsArtificial Intelligence/Machine LearningCloud ApisSpeech-To-Text (Stt)Text-To-Speech (Tts)Voice Ai

Built In

Senior Applied AI Engineer

Reposted 18 Days AgoSaved

Easy Apply

Remote or Hybrid

Remote Bengaluru, KA

Easy Apply

Entry level

Consumer Web • HR Tech

Design, build, and operate production-grade autonomous AI systems and multi-agent workflows. Develop agentic capabilities using OpenAI, Google Gemini, and Perplexity; implement orchestration, reflection, planning, evaluation, observability, and human-in-the-loop controls. Deploy scalable serverless services with Python and AWS, integrate with .NET systems, manage reliability and cost constraints, and create testing frameworks to monitor and improve agent quality.