AI Engineer

We are a fast-growing IT consultancy specialising in the transformation of complex Global enterprises. We are looking for enthusiastic and hardworking individuals that to help deliver for our global customer base. We embrace the opportunities of the future and work proactively to make effective use of technology. As you can imagine, this means that we have a vibrant and diverse mix of skills and people making Kagool a wonderful place to work.

We are looking for an AI Engineer to build and deploy AI and Generative AI applications for enterprise customers. You will work with architects, data engineers and application developers to deliver intelligent assistants, RAG applications and agentic workflows.

Experience: 4–7 years

Location: India — Remote

Availability: Candidates must be immediately available to join.

• Develop AI assistants and GenAI applications using LLMs, prompt engineering and Retrieval-Augmented Generation (RAG).
• Build agent workflows with tool calling, memory and API integration using frameworks such as LangChain, LangGraph or equivalent.
• Develop retrieval pipelines for structured and unstructured data using embeddings, vector databases and search services.
• Integrate AI applications with enterprise systems and deploy secure, scalable services, primarily on Azure.
• Test and improve response quality, retrieval accuracy, latency and cost; implement guardrails for privacy and responsible AI.
• Contribute to code reviews, automated testing, CI/CD, monitoring and technical documentation.
  

• 4–7 years of software engineering experience, including hands-on delivery of AI or GenAI applications.
• Strong Python and SQL skills, with experience developing backend services and REST APIs.
• Practical experience with LLM services such as Azure OpenAI, OpenAI, Gemini or Claude.
• Hands-on knowledge of RAG, embeddings, prompt engineering, vector search and model evaluation.
• Experience with an AI orchestration framework and familiarity with agentic workflows.
• Experience with Git, cloud deployment and modern software development practices.
• Strong problem-solving and communication skills, with the ability to collaborate effectively in a remote team.

Exposure to Azure AI Foundry, Azure AI Search, Azure Functions, Document Intelligence, Databricks, Docker or MLOps/LLMOps. Familiarity with graph databases, Spark or frontend development is an advantage.

Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science or a related discipline, or equivalent practical experience.

A career at Kagool will give you a path towards progression and opportunities, with the current rate of growth we at Kagool have dedicated time towards individual growth, recognizing individual contributions, filling the team with a strong sense of purpose along with providing a fun, flexible and friendly work environment.