CareerPlanGet AI match score →

Lead Ai Engineer

💼 Full-time🗓 2026-07-27

Core

Design, develop, and deploy AI and machine learning solutions for financial trading technology, leading initiatives from conception to production.

Role type

Lead AI Engineer (Financial Trading)

Builds

Trading technology solutions leveraging AI and machine learning

Domain

Financial Services / Capital Markets / Electronic Trading

Deliverable

production ML models

Required skills

AI/ML development, LLM frameworks (LangGraph, LangChain), document extraction and OCR, RAG methodologies, Python development, cloud-native environments (Docker, CI/CD), API security, RabbitMQ, relational databases (PostgreSQL, Cloud Data Warehouses), web frameworks (FastAPI, Flask, Django)

Preferred skills

Java Spring Boot, Capital Markets background, Electronic Trading experience, FIX Protocol knowledge

Technologies

LangGraph, LangChain, Docker, RabbitMQ, PostgreSQL, FastAPI, Flask, Django, SQLAlchemy

Responsibilities

Lead AI initiatives from conception to production, mentor a team of engineers, collaborate with product development and data scientists, design and deploy trading technology solutions

Seniority

Senior, hands-on IC with leadership responsibilities

Rewrite
## About the Company 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 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 Lead 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 (7+ years) in AI/ML development, with at least 2–3 years in a leadership role. - 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. - Familiarity with cloud-native environments, including Docker, containerization, CI/CD pipelines, and distributed systems. - 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. - 5+ 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.
Sourced via wellfound · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Wellfound ↗