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Updated 2026-06-18 13:00 UTC·© 2025–2026 RoleSuite
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Sr AI Engineer

Jobgether · India

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr AI Engineer based in India.

This role is centered on building production-grade AI systems that move beyond experimentation into real-world impact. You will design and deploy intelligent agent-based solutions powered by modern LLM technologies, primarily within enterprise and Azure ecosystems. Working in a fast-paced engineering environment, you will transform complex business challenges into scalable AI applications, including multi-agent systems, RAG pipelines, and tool-augmented workflows. The role requires strong hands-on engineering depth, with a focus on shipping reliable, production-ready AI systems. You will collaborate across teams to integrate AI into enterprise platforms such as Microsoft 365 and Teams, while ensuring robustness, evaluation, and responsible AI practices. This is a highly technical role for engineers who enjoy ownership, rapid execution, and building the next generation of AI-native systems.

Accountabilities:

  • Design, build, and deploy AI agents and multi-agent systems using modern frameworks within the Azure ecosystem
  • Develop and maintain MCP servers and tool integrations to connect AI agents with enterprise data sources and workflows
  • Build RAG pipelines, orchestration patterns, prompt engineering workflows, and evaluation frameworks for LLM-based systems
  • Design and expose scalable RESTful APIs to integrate AI capabilities with enterprise platforms such as Microsoft 365 and Teams
  • Build and manage data pipelines for unstructured data such as transcripts, customer interactions, and support logs
  • Implement CI/CD pipelines, monitoring systems, and responsible AI safeguards for production AI solutions
  • Use AI-native development tools (e.g., Copilot CLI, Cursor, Claude Code, agent-based IDEs) as part of daily engineering workflows
  • Contribute across infrastructure, low-code agent configuration, and data engineering as needed in a fast-evolving environment
  • Requirements:

    • 7+ years of software engineering experience, including 3+ years working on GenAI/LLM systems in production
    • Strong hands-on experience building AI agents using platforms such as Azure AI Foundry, Microsoft Agent Framework, or similar tools
    • Deep expertise in LLM engineering, including prompt design, evaluation strategies, structured outputs, and model selection
    • Advanced proficiency in Python with experience building scalable, production-grade systems
    • Strong experience designing and developing RESTful APIs for enterprise applications
    • Solid understanding of Azure cloud services, including deployment, identity, search, and infrastructure components
    • Proven experience building RAG systems, orchestration workflows, and tool-augmented AI pipelines
    • Hands-on experience with CI/CD, monitoring, and responsible AI implementation in production environments
    • Experience working with unstructured data pipelines and large-scale AI system integration
    • Strong ownership mindset with the ability to operate independently in ambiguous, fast-moving environments
    • Preferred: experience with MCP protocols, LLMOps/evaluation frameworks, PySpark, Copilot Studio, Kubernetes, or enterprise AI integrations
    • Benefits:

      • Competitive compensation aligned with experience and market standards
      • Opportunity to work on cutting-edge AI agent and LLM-based production systems
      • Fully remote-friendly or flexible work arrangements (depending on project requirements)
      • Exposure to enterprise-scale AI deployments within Microsoft ecosystem technologies
      • Learning and growth opportunities in GenAI, agentic systems, and cloud-native AI architecture
      • Collaborative, innovation-driven engineering culture focused on real-world impact
      • Opportunity to work with modern AI development tools and emerging frameworks
      • Inclusive and diverse work environment emphasizing collaboration, transparency, and accountability.

AI Engineering pay context

Based on 634 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $201K/year, with most offers between $165K and $244K (10th–90th percentile: $132K–$285K).

See the full AI Engineering salary breakdown →
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