Ciklum is looking for an Expert AI Engineer to join our team full-time in India.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

Role Overview

As an Expert AI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow to lead the design, development, and scaling of production-grade Generative AI applications across the enterprise. This role combines deep technical expertise in LLMs, RAG architectures, and Agentic AI systems with solid platform engineering skills to deliver reliable, governed, and business-impacting AI solutions.

Responsibilities

- Design and build production-grade GenAI applications from concept to deployment
- Architect and implement solutions using LLMs, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks
- Build and maintain LangChain-based pipelines for complex, multi-step AI workflows
- Integrate 10+ enterprise data sources into unified GenAI applications, ensuring reliable data ingestion and retrieval
- Own AI orchestration layers supporting scalable, multi-model GenAI systems
- Maintain 99.9% uptime for production AI services through robust monitoring, failover, and incident response practices
- Implement governance and compliance frameworks covering data security, model usage, and responsible AI practices




- Build resilient, containerized deployments using Kubernetes and CI/CD pipelines
- Drive accelerated GenAI adoption (40-60% improvement) across business units through scalable tooling and enablement
- Improve answer accuracy by 30% through refined retrieval strategies, prompt engineering, and evaluation pipelines
- Design and deliver reusable AI accelerators (frameworks, templates, components) to speed up future GenAI initiative

Requirements

- Programming: Python (advanced, production-level)
- Cloud Platform: Microsoft Azure (AI/ML services, deployment, security)
- AI/ML Frameworks: LangChain, LLM integration (OpenAI models)
- Data Retrieval: Vector Databases (e.g. Pinecone, FAISS, Azure AI Search, or similar), RAG architecture design
- Data Engineering: Snowflake (data integration, pipeline design)
- Infrastructure: Kubernetes (container orchestration), CI/CD pipelines (automated build, test, deploy)
- Agentic AI: Experience designing autonomous or semi-autonomous multi-agent systems

Desirable

- Proven experience building and deploying enterprise-scale GenAI applications in production environments
- Strong understanding of LLM architecture, prompt engineering, and retrieval optimization
- Experience integrating diverse enterprise data sources into AI pipelines
- Track record of improving AI governance, compliance, and reliability at scale
- Ability to translate technical AI capabilities into measurable business outcomes
- Strong collaboration skills across engineering, data, and business stakeholders

📌 Expert AI Engineer (Chennai)
🏢 Ciklum
📍 Chennai