You should have :

- 5+ years of professional experience in software engineering.

- Approximately 3+ years of experience working with Machine Learning, NLP, or related AI technologies.

- At least 1.5+ years of hands-on experience building LLM or Generative AI applications.

- Strong, production-grade programming skills in Python.

- Experience designing and implementing scalable software systems.

- A strong understanding of modern LLM and Generative AI application architecture.

- Experience building or contributing to production-grade RAG systems.

- The ability to take ownership of technical solutions and contribute to architectural decisions.

Technical Skills :

Generative AI & LLMs :

- Hands-on experience with one or more of the following :

1. GPT

2. Claude

3. Gemini

4. Llama

5. Other Large Language Models

- Experience with :

1. Prompt engineering

2. Context engineering

3. Embeddings

4. Inference optimisation

5. LLM application development

6. Evaluation and response quality

RAG & Search :

- Experience with :

1. Retrieval-Augmented Generation

2. Document ingestion and preprocessing

3. Chunking strategies

4. Vector search

5. Semantic retrieval

6. Response relevance and evaluation

What Will Make You Stand Out :

- We would be particularly interested in candidates with experience in:

1. Building agentic AI or autonomous workflows.

2. Tool-based reasoning and AI orchestration.

3. LangChain, Google ADK, LangGraph, or similar frameworks.

4. PyTorch or TensorFlow.

5. MLOps platforms and practices.

6. Kubernetes and cloud-native deployment.

7. Production AI monitoring and evaluation.

8. Enterprise search or large-scale document processing.

9. Financial Services, Banking, BFSI, or Capital Markets.

10. Working within large, complex, or highly regulated enterprise environments.

You will be working at the intersection of :

- Generative AI + RAG + NLP + Agentic AI + Software Engineering

You will have the opportunity to :

- Build AI applications that solve real business problems.

- Work with some of the most advanced LLM technologies available.

- Design systems capable of searching and understanding massive enterprise knowledge bases.

- Gain hands-on exposure to emerging agent-based architectures.

- Work on challenging problems involving retrieval accuracy, scale, relevance, and performance.

- Build reusable AI services and production-ready applications.

- Collaborate with experienced engineers and AI specialists.

- Help shape the future of AI adoption within a global financial services organisation.