🌍 About Keyrus

Keyrus is a global consulting and technology company focused on making data matter — truly matter — from a human perspective.

Founded in 1996, Keyrus operates in 28+ countries across 5 continents, with more than 3,300 people worldwide. Our strength comes from combining deep expertise in Data & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities.

Data is never the goal in itself.
We use data to shape understanding, design meaningful experiences, and enable better, real-life decisions.

At Keyrus, we also believe companies have a responsibility beyond performance. Through our Foundation and ESG initiatives, we actively contribute to sustainability, inclusion, and positive societal impact.

#OneTeamOneKeyrus

🎯 The Role

As a Senior AI Engineer / Agentic AI Engineer, you will design and deliver enterprise-scale AI solutions within the Banking and Financial Services domain.

You will work on high-impact use cases such as Conversational AI, Agentic Automation, Document Intelligence, and Multimodal AI systems, leveraging the Microsoft Azure AI ecosystem to build secure, scalable, and production-grade platforms used by large user bases.

You will collaborate closely with business stakeholders, architects, and engineering teams to deliver end-to-end AI solutions — from design to deployment and scale.

📍 Job location: India (Remote - with the availability to travel to Dubai)
🕒 Contract type: Permanent
🗓 Target start date: Immediate to max 30 days notice
⏰ Working hours: Full-time (40h/week)
💵 Compensation: Between ₹40L to ₹50L

Note: All applications must be submitted in English.

💥 Your Impact

In this role, you will:

• Design and implement Agentic AI architectures for enterprise banking applications

• Build scalable Generative AI and RAG pipelines using Azure OpenAI and Azure AI Search

• Deliver production-grade AI systems with high availability, security, and performance

• Develop multimodal and multilingual AI solutions (Text & Vision – English / Arabic)

• Implement Document Intelligence pipelines using Azure AI Document Intelligence

• Build computer vision workflows using OpenCV

• Develop and expose REST APIs using FastAPI and deploy via Docker and Azure Containers

• Design embedding, vector search, and hybrid retrieval strategies

• Integrate solutions with Azure Cosmos DB / Document DB

• Implement CI/CD pipelines and Git-based workflows

• Collaborate with business and technical teams to deliver end-to-end AI solutions

⚡ What Makes This Role Challenging

• You will build AI systems used at an enterprise and banking scale

• You must balance innovation with regulatory, security, and performance constraints

• You will work across multiple AI paradigms (Agentic AI, GenAI, CV, RAG, Multimodal)

• You are expected to own solutions end-to-end, from architecture to production

• Stakeholder expectations and delivery impact are high

👤 What We’re Looking For

Must-haves

• At least 7 years of experience in Data

• 3+ years of hands-on experience in AI / ML / Generative AI / Agentic AI

• Proven experience delivering AI solutions in Banking / Financial Services

• Strong programming skills in Python and SQL

• Deep expertise in the Microsoft Azure AI stack, including:

  • Azure OpenAI

  • Azure AI Search

  • Azure AI Document Intelligence

  • Azure Vision

  • Azure AI Foundry

• Experience with LangChain / LangGraph or similar agentic frameworks

• Strong Prompt Engineering skills

• Experience in Computer Vision (OpenCV)

• API development using FastAPI

• Hands-on experience with Git, Docker, and Azure Container Services

• Experience with Azure Cosmos DB / Document DB

• Experience implementing CI/CD pipelines

• Fluency in English

Nice-to-haves

• Experience with open-source AI frameworks (YOLO, Deep Learning, NLP)

• Familiarity with Semantic Kernel or Microsoft Agentic Framework

• Knowledge of LLM evaluation frameworks (RAG evaluation, benchmarks)

• Experience with MCP (Model Context Protocol)

• Exposure to Orkes or similar agentic workflow tools

• Experience with Streamlit or Flask for rapid prototyping

• Microsoft Certified: Azure AI Engineer (AI-102)

💰 How Our Salary Ranges Work

At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.

• Bottom of the range
  You meet the core requirements and will need ramp-up time and support.

• Middle of the range
  You are fully autonomous from Day 1 and deliver consistently.

• Top of the range
  You are a reference for the role, mentor others, and raise the bar for the team.

Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.

🎁 What We Offer

• Hybrid work model (3 days/week in office)

• 18 paid leaves + 9 public holidays

• ₹5L medical insurance + ₹10L accident insurance

• Competitive fixed salary with EPF & statutory benefits

• International consulting exposure with Keyrus clients

• Discretionary Bonus Scheme 

• Referral Bonus Scheme

• Training & Development via KLX (Keyrus Learning Experience)

💙 Why Keyrus?

Joining Keyrus means joining:

• A market leader in Data Intelligence

• A company where people, trust, and diversity are core values

• An environment that values ownership, flexibility, and innovation

• A place where different backgrounds and perspectives are not just welcomed = they are essential

We believe diversity drives better thinking, stronger teams, and better outcomes.
Everyone belongs at Keyrus.

♿ Equal Opportunity Statement

We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.