Artificial Intelligence Engineer ( Agentic AI & Generative AI )

Ciklum; Pune District, Chennai, Bengaluru; Hybrid; INR 2,400,000 - 4,000,000; Full time

Job summary

Ciklum in Pune, India seeks an experienced AI Engineer to design, develop, and deploy end-to-end AI applications powered by Python and LLMs. You will build resilient RAG pipelines, craft prompts, and orchestrate AI agents using LangChain, LangGraph, or CrewAI.

Role focuses on production-ready AI solutions, integration with vector stores and APIs, and delivering high-performance, scalable systems in a collaborative, cross-functional setting.

Qualifications

• Strong programming experience in Python (mandatory).
• Hands-on experience in Generative AI and LLM application development.
• Strong understanding of NLP and Large Language Models (LLMs).
• Practical experience in designing and implementing Retrieval-Augmented Generation (RAG) pipelines.
• Hands-on experience with prompt engineering and LLM integration.
• Experience with vector databases for embedding storage and semantic search.
• Experience with AI agents and orchestration frameworks such as LangChain, LangGraph, CrewAI.
• Understanding of building production-ready AI applications and observability.

Responsibilities

• Design, develop, and deploy end-to-end AI applications using Python and LLMs.
• Build and optimize RAG pipelines for efficient retrieval and contextual responses.
• Implement prompt engineering techniques to improve LLM accuracy and quality.
• Develop and orchestrate AI agents and multi-agent workflows using LangChain, LangGraph, and CrewAI.
• Integrate LLMs with vector databases, external APIs, and enterprise data sources.
• Develop scalable and production-ready Generative AI solutions for real-world use cases.
• Optimize AI application performance, scalability, and latency.
• Collaborate with engineering, data science, and product teams to translate business requirements into AI solutions.
• Implement testing, monitoring, and observability for reliability of LLM-powered applications.

Skills

Python

Generative AI & LLM development

NLP

RAG

Prompt engineering

Tools

LangChain

LangGraph

CrewAI

LangSmith

Langfuse

Docker

Kubernetes

FastAPI

AWS

Job description

About the Role

We are looking for an experienced AI Engineer to join our team and contribute to building, developing, and deploying next-generation AI-powered solutions. The ideal candidate will have strong expertise in Python, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI architectures.

In this role, you will be responsible for designing and implementing end-to-end LLM-powered applications, developing intelligent AI agents, building scalable RAG pipelines, and orchestrating multi-agent workflows to solve complex business challenges. You will work closely with cross-functional teams to deliver reliable, scalable, and production-ready AI solutions.

Key Responsibilities

• Design, develop, and deploy end-to-end AI applications using Python and Large Language Models (LLMs).
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines for efficient information retrieval and contextual responses.
• Implement prompt engineering techniques to improve LLM accuracy, performance, and response quality.
• Develop and orchestrate AI agents and multi-agent workflows using frameworks such as LangChain, LangGraph, and CrewAI.
• Integrate LLMs with vector databases, external APIs, and enterprise data sources.
• Develop scalable and production-ready Generative AI solutions for real-world business use cases.
• Optimize AI application performance, scalability, reliability, and response latency.
• Collaborate with engineering, data science, and product teams to translate business requirements into AI-driven solutions.
• Implement testing, evaluation, monitoring, and observability mechanisms to ensure the quality and reliability of LLM-powered applications.

Mandatory Skills & Experience

• Strong programming experience in Python.
• Hands-on experience in Generative AI and LLM application development.
• Strong understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
• Practical experience in designing and implementing Retrieval-Augmented Generation (RAG) pipelines.
• Hands-on experience with prompt engineering and LLM integration.
• Experience working with vector databases for embedding storage, semantic search, and information retrieval.
• Experience with AI agent development and orchestration frameworks such as LangChain, LangGraph, or CrewAI.
• Understanding of building, integrating, and deploying production-ready AI applications.

Good to Have Skills

• Experience developing REST APIs and AI services using FastAPI.
• Strong understanding of system design, application architecture, and scalable backend development.
• Experience with automated testing and application performance optimization.
• Exposure to cloud platforms, preferably AWS.
• Experience with Docker and Kubernetes for containerization and deployment.
• Understanding of CI/CD pipelines and MLOps practices.
• Hands-on experience with LLM evaluation, monitoring, and observability tools such as LangSmith or Langfuse.

What We Are Looking For

• Strong problem-solving and analytical skills.
• Ability to design and develop scalable, production-grade AI solutions.
• Experience working in collaborative, cross-functional engineering environments.
• Passion for exploring emerging Generative AI technologies and Agentic AI architectures.
• Ability to take ownership of AI engineering initiatives from development through deployment.