Azure AI Co-Pilot Engineer

Marlabs Inc.; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Onsite two days per week

Collaborative global team

Job summary

Marlabs Inc. is seeking an Azure AI Co-Pilot Engineer to shape next-generation AI solutions within Microsoft’s Azure AI ecosystem.

You will design deploying copilots, translating business requirements into technical specs, and collaborating with global teams to deliver impactful AI capabilities. The role emphasizes hands-on experimentation with Azure AI Foundry and Copilot Studio, strong programming in Python and SQL, and a passion for staying ahead of AI trends to drive secure, scalable

Qualifications

• Hands-on or strong interest in Azure AI Foundry, Copilot Studio, and Azure AI services.
• Proficiency in Python and SQL.
• Experience with ML libraries and UI development is a plus.
• Understanding of LLMs, prompt engineering, and RAG concepts.

Responsibilities

• Design and implement AI-powered solutions using Azure AI Foundry, Copilot Studio, and Azure OpenAI.
• Build and customize copilots to fit business workflows.
• Collaborate with stakeholders to translate business needs into technical specs.
• Experiment with models and apply best practices for deployment.
• Stay updated on AI trends and new tools to advance systems.
• Work independently and with global teams in a collaborative environment.

Skills

Azure AI Foundry

Copilot Studio

Azure OpenAI

Python

SQL

ML libraries

LLMs / prompt engineering / RAG

UI development (Streamlit/JS)

Azure DevOps / CI/CD / Git

Secure API / web services

Communication / collaboration

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Azure AI Co-Pilot Engineer to join our innovative and dynamic team.

Candidates are ideally located in Bangalore or Pune, with flexibility to consider other major metros such as Hyderabad or Chennai. This role requires working onsite two days per week.

Azure AI Co-Pilot Engineer | About You

As an Azure AI Co-Pilot Engineer, you will play a key role in shaping next-generation AI solutions using Microsoft’s Azure AI ecosystem. You are curious, adaptable, and excited to explore emerging technologies like Azure AI Foundry and Copilot Studio. While these tools are new, you have some hands‑on experience and a strong desire to deepen your expertise. You thrive in dynamic environments, enjoy solving complex problems, and are passionate about leveraging AI to deliver real business impact. Your ability to learn quickly and collaborate effectively makes you an invaluable contributor to our AI initiatives.

Azure AI Co-Pilot Engineer | Day-to-Day

• Design and implement AI-powered solutions using Azure AI Foundry, Copilot Studio, and Azure OpenAI, ensuring scalability, security, and performance.
• Build and customize copilots that integrate seamlessly with business workflows, leveraging conversational AI and generative AI capabilities.
• Collaborate with stakeholders to translate business requirements into technical specifications and actionable AI solutions.
• Experiment with and fine‑tune AI models, applying best practices for prompt engineering, orchestration, and deployment.
• Stay ahead of emerging AI trends and tools, proactively identifying opportunities to enhance existing systems or introduce new capabilities.
• Work independently and within global teams, contributing to a collaborative and innovative environment.

Azure AI Co-Pilot Engineer | Skills & Experience

• 2–3 months of hands‑on experience (or strong interest) with Azure AI Foundry, Copilot Studio, and Azure AI services.
• Solid programming skills in Python and familiarity with SQL.
• Experience with ML libraries and UI development (Streamlit or JavaScript frameworks) is a plus.
• Understanding of LLMs, prompt engineering, and concepts like Retrieval‑Augmented Generation (RAG).
• Familiarity with Azure DevOps, CI/CD pipelines, and version control (Git).
• Knowledge of secure API/web service development and data protection best practices.
• Excellent communication skills and a collaborative mindset.