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Pacer Staffing

AI Engineer

Actively Reviewing

Pacer Staffing

Bengaluru Full-Time 4–8 yrs exp Posted 7 hours ago  · Apply by Sep 14, 2026

Job Title: AI Engineer

Location: Bangalore

Work Arrangement: Onsite

Employment Type: Full time

Duration: Permanent

Salary: As per company standards

Application Deadline: 15th-July


Position Overview"

We are looking for a highly skilled AI Engineer with 5+ years of experience in designing, developing, and deploying enterprise-grade AI solutions. The ideal candidate will have hands-on expertise in building AI Assistants, AI Agents, automation workflows, and Generative AI applications using modern cloud platforms and Microsoft AI technologies.

In this role, you will work closely with cross-functional teams to develop secure, scalable, and production-ready AI solutions that improve business processes, automate workflows, and deliver intelligent user experiences.

Key Responsibilities

  • Design, develop, deploy, and maintain enterprise AI Assistants and AI Agents using Generative AI technologies.
  • Build multi-agent workflows and intelligent automation solutions using Agentic AI principles.
  • Develop scalable microservices and backend APIs using Python.
  • Implement Retrieval-Augmented Generation (RAG), vector search, prompt engineering, and LLM-based applications.
  • Build AI-powered solutions using Microsoft Copilot Studio, Microsoft 365 Copilot, Power Platform, Power Automate, Microsoft Graph, SharePoint, Teams, and Azure AI Services.
  • Optimize AI model performance, inference latency, GPU/CPU utilization, memory usage, and overall system efficiency.
  • Develop and maintain unit tests, integration tests, and debugging processes to ensure application quality and reliability.


Required Skills & Qualifications

Must Have

  • Minimum 4+ years of experience developing AI/ML or Generative AI applications on Azure, AWS, or GCP.
  • Strong programming experience in Python.
  • Experience designing AI Assistants, AI Agents, and automation workflows.
  • Hands-on experience with Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
  • Experience developing REST APIs and cloud-native microservices.
  • Familiarity with AI deployment, monitoring, observability, LLMOps, or AgentOps practices.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent verbal and written communication skills.

Preferred Skills

  • Experience with Microsoft Copilot Studio.
  • Experience with Microsoft 365 Copilot.
  • Hands-on experience with Power Platform and Power Automate.
  • Experience with Microsoft Graph API, SharePoint, and Microsoft Teams integrations.
  • Knowledge of Azure AI Services and Azure OpenAI.
  • Experience with enterprise AI governance and security standards.
  • Experience working in Agile/Scrum environments.
  • Exposure to Salesforce, Service Cloud, CPQ, Salesloft, or similar enterprise platforms.
  • Knowledge of CI/CD, DevOps, Docker, Kubernetes, or cloud-native deployment practices.


Equal Opportunity Employer

We are an Equal Opportunity Employer and consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic.

Disclaimer

AI Usage Policy: Artificial Intelligence may be used during portions of the recruitment and application screening process. Final hiring decisions are made by human recruiters based on candidates' qualifications, experience, technical skills, and overall fit for the role.