Data & AI Engineer

Our client-centric approach ensures that every project is executed with precision and a commitment to excellence. We have 4 companies values that guide our work include: intentional, precise, attentive and collaborative.\nThis role is on-site in our office at Yelahanka New Town in Bangalore.\n\nJob Summary\nWe are seeking a skilled Data & AI Engineer to build scalable data platforms, AI-powered applications, and business intelligence solutions. The ideal candidate will have expertise in data engineering, Generative AI, agentic AI frameworks, and Power BI to deliver enterprise-grade analytics and intelligent automation solutions.\n\n⸻\n\nKey Responsibilities\n\nData Engineering\nDesign and maintain scalable ETL/ELT pipelines for structured and unstructured data.\nDevelop data lakehouse and warehouse solutions using Databricks, Snowflake, or similar platforms.\nEnsure data quality, governance, and performance optimization.\n\nAI & Agentic AI Development\nBuild and deploy machine learning and Generative AI applications.\nDevelop AI agents, RAG pipelines, and autonomous workflows using:\nLangChain\nLangGraph\nCrewAI\nAutoGen\nIntegrate LLMs including:\nAnthropic Claude AI\nOpenAI GPT\nGoogle Gemini\nAWS Bedrock\nAzure OpenAI\nImplement vector databases, semantic search, prompt engineering, and AI guardrails.\n\nPower BI & Analytics\nDesign and develop interactive dashboards and executive reports using Power BI.\nBuild semantic models, DAX measures, KPI dashboards, and self-service analytics solutions.\nCollaborate with stakeholders to translate business requirements into actionable insights.\n\nMLOps / LLMOps\nDeploy AI models and APIs into production environments.\nImplement CI/CD, model monitoring, retraining workflows, and AI observability practices.\n\nCollaboration\nPartner with business and product teams to identify high-value AI and analytics opportunities.\nDeliver scalable, data-driven solutions aligned with business goals.\n\n⸻\n\nRequired Skills\nStrong proficiency in:\nPython\nSQL\nPower BI\nExperience with:\nMachine Learning & Generative AI\nLangChain, LangGraph, CrewAI\nClaude AI, OpenAI, Gemini\nDatabricks, Snowflake\nAWS, Azure, or GCP\nVector databases and semantic search\nKnowledge of :\nData warehousing and dimensional modeling\nREST APIs, Docker, Kubernetes\nDAX, Power Query, and Power BI data modeling\n\n⸻\n\nQualifications\nBachelor’s or Master’s degree in Computer Science, Data Engineering, AI, Statistics, or related field.\n3+ years of experience in Data Engineering, AI/ML Engineering, Analytics, or Business Intelligence.\n\n⸻\n\nPreferred Certifications\nMicrosoft Power BI Data Analyst Associate\nAzure AI Apps and Agents Developer Associate\nAWS Certified Generative AI Developer\nDatabricks or Snowflake Certifications