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Job Location:

Bengaluru - India

Monthly Salary: Not provided by the employer
Posted: 3 October 2026 (Yesterday)
Application Deadline: 31 December 2026
Vacancies: 1 Vacancy

Job Summary

Job Description – AI Engineer


Designation: AI Engineer
Boolean Job ID: 431
Location: Bangalore
Experience: 6–10 Years
Interview Process: 4 Rounds (Final Round – Face-to-Face)
Employment Type: Full-Time

Job Summary

We are looking for an experienced AI Engineer with strong hands-on expertise in Generative AI LLM application development production-grade multi-agent frameworks and enterprise AI solutions.

The ideal candidate should have proven experience designing developing and deploying scalable secure and reliable AI/agentic solutions using Microsoft Azure PostgreSQL and Snowflake.

Key Responsibilities
  • Design build and maintain data pipelines and integrations using PostgreSQL and Snowflake for downstream AI and analytics applications.

  • Own the complete LLM application lifecycle including prompt engineering retrieval workflow design evaluation observability security and performance optimization.

  • Design and implement production-grade enterprise-class multi-agent frameworks that are reliable scalable and maintainable.

  • Architect and deploy enterprise AI and agentic solutions on Microsoft Azure following Azure-native services and best practices.

  • Collaborate with cross-functional teams to translate business requirements into robust production-ready AI solutions.

  • Ensure multi-agent LLM systems meet performance security scalability and observability standards.

  • Communicate technical decisions architecture designs and trade-offs to technical and non-technical stakeholders.

Required Experience & Technical Expertise
  • 6–10 years of relevant professional experience.

  • Proven hands-on experience designing building and deploying production-grade multi-agent frameworks.

  • Strong expertise in PostgreSQL and Snowflake including schema design query optimization and data integration.

  • In-depth knowledge of the LLM application lifecycle including prompt engineering RAG workflows evaluation methodologies and performance tuning.

  • Practical experience building and deploying enterprise AI/agentic solutions on Microsoft Azure.

  • Strong understanding of multi-agent architecture orchestration coordination and agent-to-agent communication.

  • Experience developing scalable secure and maintainable enterprise applications.

  • Ability to independently deliver production-ready solutions from complex business requirements.

  • Excellent analytical problem-solving and communication skills.

Key Skills to Be Evaluated
  1. Production-Grade Multi-Agent Framework

  2. Microsoft Azure

  3. PostgreSQL

  4. Snowflake

  5. Enterprise Application Development

  6. Generative AI

  7. LLM Application Lifecycle

  8. Observability

  9. Prompt Engineering

  10. Retrieval-Augmented Generation (RAG)

  11. Multi-Agent Architecture & Orchestration

  12. AI Security & Performance Optimization

Important: Mention Boolean Job ID: 431 – AI Engineer in the email subject line.

Boolean Staffing & Recruitment Solutions Pvt. Ltd.

Right People. Right Opportunities. Brighter Tomorrow.


Required Skills:

Multi-Agent Framework (Production-Grade)AzurePostgreSQLSnowflakeEnterprise Application DevelopmentGenerative AILLM Application LifecycleObservability