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Principal AI & Data Engineer (Technical Lead)

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Hybrid

Principal AI & Data Engineer (Technical Lead)

Electronikmedia

Principal AI & Data Engineer (Technical Lead)

Skills

Google Cloud PlatformSQL QueriesMongoDBDockerPythonC#.NETPostgreSQLKafkaDatabricksAIAWSKubernetesPySparkAzure

2 months ago

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Important information


Contract type:

Permanent

Work mode:

Hybrid

Published on:

5 September 2026

What they need


About the Job: Location: Kochi (Hybrid) / Remote (India) Experience: 12-18+ Years Employment Type: Full-Time

Skillsets: Python, PySpark, SQL, C#, .NET Core, Apache Spark, Kafka, Databricks, Azure Synapse, Azure Data Factory, Azure, AWS and/or GCP, Docker, Kubernetes, CI/CD, SQL Server, PostgreSQL, MongoDB, DynamoDB, LLMs, RAG, AI Agents, Prompt Engineering, Vector Databases, AI Evaluation

The Opportunity: As a Principal AI Data Engineer (Technical Lead), you will lead the design and delivery of enterprise-grade AI, Data, and Cloud solutions. You will work directly with clients, influence technical strategy, mentor engineers, and help build modern AI-first platforms. This is a hands-on technical leadership role focused on architecture, coding, solving complex engineering problems, and mentoring teams.

Key Responsibilities:

  • Design and build production-ready AI applications using LLMs, RAG, AI Agents, and LangChain/LangGraph.
  • Architect enterprise-scale data lakehouse and ETL/ELT platforms.
  • Build scalable batch and streaming pipelines using Spark, PySpark, Kafka, and Databricks.
  • Develop cloud-native backend services and distributed systems.
  • Lead architecture reviews and mentor engineering teams.
  • Work directly with enterprise clients on technical strategy and solution design.

Required Technical Skills:

  • Python, PySpark, SQL, C#, .NET Core
  • Apache Spark, Kafka, Databricks, Azure Synapse, Azure Data Factory
  • Azure, AWS and/or GCP
  • Docker, Kubernetes, CI/CD
  • SQL Server, PostgreSQL, MongoDB, DynamoDB
  • LLMs, RAG, AI Agents, Prompt Engineering, Vector Databases, AI Evaluation

Were Looking For:

  • Architect mindset with hands-on engineering capability.
  • Strong ownership from design through production.
  • Excellent communication and mentoring skills.
  • Passion for continuous learning and innovation.

About Electronikmedia Electronikmedia is a fast-growing AI and software engineering company delivering enterprise solutions across AI, Data Engineering, Cloud Engineering, Custom Software Development, and Quality Engineering for clients across the US, UK, and Europe. Were building the next generation of AI-powered products, enterprise data platforms, and intelligent automation solutions. We are looking for exceptional engineers who enjoy solving complex technical challenges and want to shape the future of AI within a growing engineering organization.

Why Join Electronikmedia

  • Build production AI systems for global clients.
  • High ownership and technical autonomy.
  • Engineering-first culture.
  • Exposure to enterprise-scale architectures.
  • Work with Claude, OpenAI, Azure AI, Amazon Bedrock, LangGraph, Databricks, Spark, Kafka, and Kubernetes.

Learning Growth Electronikmedia invests heavily in continuous learning. Opportunities include:

  • Earn Anthropic Partner Network Certifications and work with the latest Claude AI technologies.
  • Microsoft Azure AI certifications.
  • AWS and Google Cloud certifications.
  • Technical conferences, workshops, and innovation programs.
  • Open-source contributions and internal RD initiatives.

Success in the First 12 Months

  • Deliver enterprise-grade AI and Data Platform solutions.
  • Lead strategic client engagements.
  • Mentor engineering teams.
  • Improve engineering quality, scalability, and performance.
  • Help shape Electronikmedias AI engineering roadmap.

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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