Lead AI Engineer

Equiti is a pioneering fintech firm and world-class provider of multi-asset fintech products - from liquidity solutions to in-house tech hubs to online trading platforms. With over 400 global specialists in 9 languages, Equiti provides clients with access to individual, professional, and institutional brokerage services in Europe, the Middle East, and Africa.

At Equiti, we believe that financial opportunities can unlock potential for everyone, everywhere. We're on a mission to deliver accessible online trading products around the world through education and accessibility.

Think finance is stuffy Think again.

At Equiti, we're building fintech with a purpose: making wealth tools accessible to everyone. As we continue to grow, we're seeking talented individuals who thrive in innovative environments. , and we are on the lookout for talented individuals who can perform and excel in a dynamic and innovative working environment. Our Technology department would like to welcome a detail-oriented.

Lead AI Engineer in our office in Bengaluru

We are looking for an experienced Lead AI Engineer to drive the design and development of advanced AI systems within our fintech ecosystem. This role blends expertise in agentic AI, large language models (LLMs), machine learning, and full-stack engineering with a strong understanding of financial products, including CFDs and A-book/B-book models. You will be responsible for architecting scalable AI solutions, building intelligent automation, and creating AI-driven products that enhance decision-making, user experience, and operational efficiency across the business.

Responsibilities

AI and Machine Learning Engineering:

• Architect and develop Agentic AI systems capable of autonomous decision-making, tool usage, memory, and workflow orchestration.
• Build production-grade ML and LLM-powered applications, including recommendation systems, copilots, summarization tools, and automation engines.
• Design and maintain high-performance ML pipelines, including model training, evaluation, and monitoring.
• Lead implementation of RAG, vector search, and other generative AI patterns.

Fintech and Domain Contributions:

• Apply AI techniques to problems across the financial services spectrum such as risk assessment, customer intelligence, fraud detection, and operational optimization.
• Use domain knowledge in CFDs and A-book vs. B-book models to design intelligent decision heuristics and improve business outcomes.
• Partner with finance, risk, sales, and product teams to translate business needs into AI solutions.

Engineering and Architecture:

• Lead development of full-stack AI applications, covering both back-end microservices and front-end interfaces.
• Build scalable systems using Python and modern web technologies (e. g., React, Node.js, FastAPI, and Django).
• Ensure best practices in reliability, scalability, security, and cloud-native deployment.
• Oversee integration of AI systems into existing infrastructure and business workflows.

Leadership and Collaboration:

• Provide technical leadership and mentorship to AI/ML engineers.
• Drive the AI roadmap, architectural direction, and technology choices.
• Work cross-functionally with engineering, product, finance, and operations to identify opportunities for AI innovation.

Domain Knowledge

• Background in finance, trading, or financial technology.
• Understanding of CFDs and A-book/B-book operating models.
• Familiarity with financial risk, liquidity, and market dynamics is advantageous.

Skills & Competencies

• Ability to translate business needs into scalable AI architectures.
• Strong problem-solving, analytical, and communication skills.
• Proven experience delivering AI products end-to-end in production.

Experience Requirements

• Expert-level proficiency in Python for AI and ML engineering.
• Hands-on experience with LLMs, agentic frameworks, vector databases, and prompt engineering.
• Strong background in machine learning, deep learning, and applied statistics.
• Solid full-stack engineering skills (front-end + back-end).
• Strong understanding of APIs, microservices, cloud platforms, and MLOps (Azure AI factory )
• Master's or PhD in Computer Science, AI, Engineering, or a related technical field.
• Experience in fintech, quantitative finance, or financial risk systems.
• Experience with high-performance or real-time systems.
• Background in finance, trading, or financial technology.
• Understanding of CFDs and A-book/B-book operating models.
• Familiarity with financial risk, liquidity, and market dynamics is advantageous.

Perks

Each of our offices has its special perks; be it no ties, free lunches, charity events, or a hybrid work policy – but whenever you walk into an Equiti office, you're sure to see a friendly face. We encourage international collaborations and always keep our eyes open to how we can do more.

The benefits you can expect at your Equiti workplace include:

• Competitive salary package
• Performance-based bonus
• Medical insurance coverage for employees and family members
• Smart working options
• Employee wellness initiatives
• Personalized career development
• Company lunch in the office
• Regular company events

With energy, drive, and imagination, there's no limit to where your career can go at Equiti. With a diverse workforce and geographical spread of offices, we strongly support career development initiatives as well as provide a range of opportunities for professional and life experiences.

Equiti is an equal opportunity employer.

Equiti refers to a group of companies consisting of seven regulated financial services companies licensed to operate in the respective jurisdictions of their incorporation, in addition to our tech and marketing hubs. Equiti has presence in Africa, Europe, and the Middle East.