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Synechron

AI/ML Engineer

Synechron

Senior Engineer for AI search and retrieval at Synechron building secure platforms. Experience required in Azure AI Search and OpenAI, with strong backend engineering skills.

Posted 7/21/2026full-timePune • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building secure AI search and retrieval systems for large-scale enterprise document platforms, with a strong focus on Azure AI Search and Azure OpenAI. Proficient in backend engineering, prompt engineering, and implementing security-aware retrieval mechanisms.

Highest-signal resume keywords
Python ProficiencyAzure OpenAI SDK ExpertiseRetrieval-Augmented Generation (RAG)API DevelopmentDocument-Level Access Control

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Backend EngineeringPrompt EngineeringHybrid Search DesignVector SearchLLM IntegrationIndex DesignRetrieval Relevance MeasurementAnswer Accuracy ImprovementLatency OptimizationCloud Integration
Tools & Technologies
Azure AI SearchAzure OpenAIREST APIsDockerKubernetes
Industry Keywords
Enterprise Document RepositoriesSecurity-Aware RetrievalAgentic SystemsModel Context Protocol (MCP)

Tech Stack

Tools & technologies
AzureCloudDockerJavaKubernetesPython

About the role

Key responsibilities & impact
  • Building secure, AI search and retrieval for large‑scale enterprise document platforms using Azure AI Search and Azure OpenAI.
  • Experience with large‑scale enterprise document repositories.
  • Strong understanding of Retrieval‑Augmented Generation (RAG), Vector search, and experience grounding LLM responses in enterprise data sources.
  • Index design for unstructured enterprise documents using hybrid search (keyword + vector).
  • Designing prompts that constrain responses to source documents, reduce hallucinations, and support citation‑based answers.
  • Strong backend engineering experience (Java, Python).
  • Experience building APIs or services that orchestrate Search, Retrieval, LLM calls.
  • Implement security-aware retrieval, including Document‑level access control.
  • Experience measuring and improving retrieval relevance, answer accuracy, and latency across search and generation.
  • Integrating AI search into internal applications.

Requirements

What you’ll need
  • Strong proficiency in Python.
  • Hands-on experience with LLMs and prompt engineering.
  • Expertise in Azure OpenAI SDKs, APIs, and deployment strategies.
  • Knowledge of agentic systems and Model Context Protocol (MCP).
  • Familiarity with cloud integration, REST APIs, and containerization (Docker/Kubernetes).

Benefits

Comp & perks
  • Flexible workplace arrangements
  • Mentoring
  • Internal mobility
  • Learning and development programs