Senior AI Engineer

About Kagool

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

About the Role

We are looking for a Senior AI Engineer to lead the technical design and delivery of enterprise AI and Generative AI solutions. You will remain hands-on while guiding engineers, making architecture decisions and ensuring solutions are secure, reliable and ready for production.

Experience: 8–13 years

Location: India — Remote

Company: Kagool

Availability: Candidates must be immediately available to join.

Key Responsibilities

• Own solution design and technical delivery for conversational AI, RAG applications and agentic systems.
• Design and implement multi-agent workflows covering planning, retrieval, tool execution, memory and evaluation.
• Define retrieval architectures using vector search, hybrid search and, where appropriate, graph databases.
• Build and integrate scalable AI services with enterprise applications, APIs and cloud platforms, primarily Azure.
• Establish LLMOps practices covering prompt and model versioning, CI/CD, automated evaluation, monitoring and regression testing.
• Implement access controls, auditability, privacy safeguards and responsible AI guardrails.
• Optimise accuracy, latency, reliability and cost using production metrics and user feedback.
• Translate business requirements into technical solutions, lead design and code reviews, and mentor engineers.

Required Skills and Experience

• 8–13 years of software engineering experience, including substantial hands-on AI/ML experience and delivery of production GenAI solutions.
• Strong Python, SQL, backend engineering and system design skills.
• Proven experience with LLMs, RAG, embeddings, prompt engineering and evaluation.
• Practical experience designing agentic or multi-agent systems using LangGraph, LangChain or equivalent frameworks.
• Strong experience with vector databases, enterprise search and structured/unstructured data integration.
• Experience deploying and operating cloud applications, preferably using Azure OpenAI, Azure AI Search and related Azure services.
• Working knowledge of containers, CI/CD, observability and MLOps/LLMOps.
• Ability to make technical trade-offs, manage delivery risks and communicate clearly with business and technical stakeholders.

Desirable

Experience with Databricks, Spark, Neo4j, Document Intelligence, event-driven integration, model fine-tuning or frameworks such as PyTorch and TensorFlow.

Qualifications

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

Career at Kagool

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.