AI Engineer Leader

Key Responsibilities

• Lead the architecture, development, and delivery of LLM applications, RAG pipelines, and agentic workflows for financial services use cases.
• Own key technical decisions involving model selection, retrieval design, workflow architecture, integration, cost, and latency.
• Build evaluation and regression-testing approaches and use output, trace, and failure analysis to improve solution quality.
• Ensure solutions meet production requirements for reliability, security, observability, data protection, and auditability.
• Translate business, risk, and compliance requirements into practical technical solutions with client and internal stakeholders.
• Mentor engineers and establish reusable AI engineering standards, patterns, and development practices.

Must Have

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience.
• 6+ years of professional software or AI engineering experience, including recent hands-on experience delivering Generative AI applications to production.
• Strong Python and software engineering fundamentals, including system design, APIs, testing, debugging, and technical documentation.
• Hands-on experience with RAG, embeddings, vector databases, hybrid retrieval, reranking, and data-grounding techniques.
• Experience designing agentic workflows with tool calling and at least one major AI framework such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent.
• Experience with AI evaluation, error analysis, regression testing, tracing, and production monitoring.
• Practical experience with cloud platforms, containers, CI/CD, databases, and production observability.
• Understanding of AI security risks, including prompt injection, data leakage, access control, and guardrails.
• Practical knowledge of banking, fintech, payments, lending, risk, compliance, or another financial-services domain.
• Experience leading or mentoring engineers, working with client stakeholders, and communicating effectively in English.

Nice to Have

• Knowledge graphs, semantic layers, multi-agent systems, MCP, or multimodal AI.
• Fine-tuning, model optimization, self-hosted LLMs, or large-scale cost and latency optimization.
• AI governance, model risk, explainability, audit trails, KYC, or AML-related experience.
• Kubernetes or experience supporting technical presales and estimation.

Work Environment & Culture:

• Engage with a youthful, dynamic team working on awesome projects applying cutting-edge technologies.
• Gain global exposure by working alongside international specialists, providing a fantastic opportunity to expand your skill set.
• A transparent, honest, and respectful culture that empowers individuals to reach their full potential.

Compensation & Health Benefits:

• 13th-month salary and highly attractive performance-based bonuses.
• Premium accident and healthcare insurance plans, plus comprehensive annual health check-ups.

Allowances & Facilities:

• Allowances for lunch, free parking, and life events (marriage, newborn baby, bereavement, etc.).
• A spacious, fully equipped pantry (microwave, fridge, coffee maker, etc.) for your most comfortable lunch breaks.

Engagement & Recognition:

• Diverse sports clubs and social activities (Badminton, Football, Yoga, Tech clubs).
• Annual company teambuilding trips.
• Engaging monthly internal events: Happy Gatherings, Mini Games, Team Birthdays, Year-End Party, etc.
• Quarterly and yearly awards recognizing outstanding individuals, teams, and long-term dedication.
• Advanced English and soft skill training programs to assist your career development.

Exclusive perk: Unique internal company supporting funds to help ease personal financial goals (Home, Vehicle, Tuition loans, etc.).