Senior AI Engineer

Company Profile:

We are a product and services firm in the UK, and India focussed on the financial services domain. Our clients are the world's major fintech players. We are looking for intelligent, talented and motivated individuals who are up for a challenge and believe in our vision. We are an equal opportunity employer. We value diversity and inclusion and encourage all qualified individuals to apply.

What we offer:

• Highly competitive compensation, performance-based bonuses, and comprehensive benefits package.
• Exposure to the exciting and fast-paced world of financial trading.
• Mentorship and guidance from industry experts.
• Opportunities for professional growth and development. A collaborative and dynamic work environment.
• Free office lunch/dinner and fun activities.

Role Overview:

• We are seeking an exceptional Senior AI Engineer to drive the design, development, and deployment of our trading technology solutions leveraging AI and machine. You will lead AI initiatives from conception to production, mentor a team of engineers, and collaborate closely with product development, developers, data scientists, analysts, and stakeholders.

Technical Skills Required :

• Proven experience (4+ years) in AI/ML development.
• Hands-on experience with AI/LLM frameworks, especially LangGraph and LangChain, for workflow orchestration and conversational/agentic systems.
• Expertise in document extraction and understanding, including parsing heterogeneous file types (PDF, Word, Excel), OCR pipelines, embeddings, and RAG methodologies.
• Proven ability in complex problem-solving, research, and rapid prototyping for emerging AI capabilities.
• Experience with LLM observability tools such as langFuse and langSmith for monitoring, tracing, evaluating, and debugging AI applications.
• Hands-on experience with fine-tuning LLMs.
• Experience in designing large-scale RAG systems, including document ingestion, embedding pipelines, vector databases, retrieval optimisation, re-ranking, and end-to-end LLM orchestration.
• Strong understanding of API security, covering authentication/authorization, token management, RBAC, SSL/TLS, rate limiting, and secure data handling.
• Background in Capital Markets, Electronic Trading, or FIX Protocol is highly desirable.
• 3+ years minimum as a Python Developer with a solid understanding of the Python language and its best practices, adhering to common Pythonic principles.
• Experience with Java Spring Boot would be a plus.
• Strong understanding of RabbitMQ as a message broker, facilitating asynchronous processing and inter-service communication. Familiarity with RabbitMQ's exchange types, routing, and queue bindings, and the ability to troubleshoot common RabbitMQ issues.
• Experience with Object-Relational Mapping tools like SQLAlchemy or Django ORM, simplifying database operations and queries.
• Strong understanding of relational database concepts, with hands-on experience in designing, querying, and managing data using PostgreSQL, SQLite and Cloud Data Warehouses. Familiarity with normalization, indexing, and optimization techniques to ensure efficient data retrieval and storage.
• Experience in developing applications using frameworks like FastAPI, Flask or Django to simplify tasks like routing, database operations, and security authentication/authorization flows as examples.
• Bachelor's degree in Computer Science, Engineering, or a related field from a premier institute such as IIT/IIIT/NIT.