Data & AI Engineer

4 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Data & AI Engineer

Location: Pune/Gurgaon/Remote


Role summary

Data & AI Engineer with a strong AI engineering focus to build agentic data workflows, evaluations, and observability for the client POC. Work spans Oracle→Azure SQL migration automation, data quality and reconciliation, and building reliable LLM/agent integrations and tooling on Azure.


Key responsibilities

  • Implement data migration jobs, verification, and reconciliation for Oracle→Azure SQL
  • Build data quality checks and performance validation for migrated workloads
  • Design and implement LLM-augmented data tasks and agents (tool use, retrieval, routing)
  • Develop orchestration graphs and agent workflows using LangGraph or similar
  • Implement retrieval pipelines with vector stores and structured search over SQL
  • Build evaluation harnesses for workflows and prompts, with regression-safe metrics
  • Add tracing, telemetry, and guardrails for LLM calls, tools, and data access
  • Support containerization and Azure‑native rewrites with data contracts and schemas
  • Contribute to agent/tool interfaces for data tasks and observability
  • Write concise docs, runbooks, and ADRs supporting decisions and operations


Required experience

  • 4+ years in data, backend, or platform engineering with strong Python
  • Solid SQL skills and experience with ETL/ELT, schema migration, and validation
  • AI engineering foundations: prompt design, tool/function calling, retrieval, agents
  • Orchestration frameworks: LangGraph preferred; familiarity with LangChain or similar
  • Vector databases and embeddings: Azure AI Search, pg-vector, Milvus, or equivalent
  • Evaluation and tracing: LangSmith, OpenAI Evals, RAGAS, DeepEval, or equivalent
  • Azure stack: Azure SQL, Storage, Azure AI/ML or AI Studio, Azure OpenAI
  • Containers and CI fundamentals: Docker, pipelines, artifact handling
  • Testing culture: unit/integration tests for tools, prompts, and workflows


Nice to have

  • Oracle migration experience and performance tuning on Azure SQL
  • Financial services domain exposure and data controls compliance
  • Graph-structured workflow design and multi-agent patterns
  • Structured output parsing and schema enforcement (Pydantic, JSON schema)
  • Feature stores or offline/online retrieval patterns

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