Senior Software Engineer AI

For our client, we are looking for AI / ML Engineers (Mid and Senior level) to join a small, highly skilled engineering team building cutting-edge AI solutions for complex financial data and decision-making systems. This role focuses on flagship Artificial Intelligence and Machine Learning initiatives leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern ML techniques within the Credit & Lending domain.

• Strong software development experience in Python, particularly within the AI/ML ecosystem
• Experience with frameworks such as FastAPI, LangChain, or similar
• Knowledge of PostgreSQL and vector databases
• Experience designing microservices, APIs, observability solutions, and concurrent systems
• Hands-on experience with Azure or GCP
• Practical knowledge of containers, Kubernetes, and CI/CD practices
• Understanding of LLM architectures and working with domain-specific datasets
• Experience with RAG, prompt engineering, or agent-based AI architectures
• Solid understanding of Machine Learning, NLP, and Deep Learning concepts
• Experience working with TDD and/or BDD
• Strong English communication skills and ability to explain technical concepts to non-technical stakeholders
• Familiarity with Java is considered an advantage

Additional Requirements for Senior Candidates:

• Experience leading technical projects and initiatives
• Proven track record in architecture and technology decision-making
• Mentoring and coaching engineers
• Driving innovation and experimentation in AI-powered systems

• Design, test, and optimize prompts for Large Language Models (LLMs)
• Build intelligent solutions using Retrieval-Augmented Generation (RAG) and vector databases
• Develop scalable services and APIs powering AI-driven applications
• Work across the full AI solution lifecycle, from ideation and prototyping to production deployment
• Collaborate closely with engineering, product, and business teams to translate complex business needs into technical solutions
• Write clean, maintainable, and well-tested code
• Deploy and scale AI workloads using cloud platforms (Azure or GCP)
• Apply AI best practices to ensure fairness, transparency, reliability, and performance of ML systems

Additional Responsibilities for Senior Engineers:

• Lead architecture and technical design decisions
• Drive the technical direction of AI initiatives
• Mentor and support other engineers within the team
• Evaluate, prototype, and introduce new AI technologies and approaches
• Contribute to engineering best practices and standards