Expert AI Engineer

Description Ciklum; India; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Community

Growth opportunities

Learning budget

Mobility

Health & legal support

Job summary

Ciklum in India is seeking an Expert AI Engineer to join a cross-functional team to design, develop, and scale production-grade GenAI applications across the enterprise. You will work on LLMs, RAG, and agentic AI, building LangChain pipelines and integrating multiple data sources with governance and security.

You will deploy resilient GenAI systems using Kubernetes and CI/CD, driving measurable business impact and collaboration across engineering, data, and business stakeholders.

Qualifications

• Advanced production-level Python programming.
• Cloud experience with Microsoft Azure AI/ML services.
• Experience with LangChain and OpenAI models.
• Knowledge of vector databases and RAG architectures.
• Data integration using Snowflake and data pipelines.
• Container orchestration with Kubernetes and CI/CD pipelines.
• Experience designing autonomous or semi-autonomous multi-agent systems.

Responsibilities

• Design and build production-grade GenAI applications from concept to deployment.
• Architect solutions using LLMs, RAG, and Agentic AI frameworks.
• Build LangChain-based pipelines for multi-step AI workflows.
• Integrate 10+ enterprise data sources into GenAI applications with reliable data ingestion.

Skills

Python

Azure

LangChain

LLM integration

Vector databases

Snowflake

Kubernetes

CI/CD pipelines

Agentic AI

Job description

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.

About the role:

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 strong platform engineering skills to deliver reliable, governed, and business-impacting AI solutions.

Responsibilities:

Enterprise GenAI Implementation

• 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

Platform Engineering

• 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

Business Impact

• 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

What’s in it for you?

• Strong community: Work alongside top professionals in a friendly, open-door environment
• Growth focus: Take on large-scale projects with a global impact and expand your expertise
• Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
• Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
• Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations

About us:

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.

India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level.

Explore, empower, engineer with Ciklum!