Senior AI Engineer
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We are looking for a Senior AI Engineer to help drive our AI transformation by designing and developing enterprise-grade AI solutions that operate reliably in production environments.
In this role, you will work with Large Language Models (LLMs), Agentic AI, RAG architectures, and enterprise AI platforms. You will play a key role in designing, building, deploying, and continuously improving scalable, secure, and regulation-compliant AI solutions for the financial services industry.
Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field, or equivalent practical experience..
- Proven track record of designing, building, deploying, and operating production-grade applications powered by large language models (LLMs)..
- Deep expertise in LLM engineering, retrieval-augmented generation (RAG), agentic AI, prompt engineering, model evaluation, and optimization..
- Hands-on proficiency in building AI agents with frameworks such as LangGraph, Semantic Kernel, CrewAI, or AutoGen..
- Strong command of advanced retrieval pipelines, including document processing, chunking strategies, embeddings, vector databases, reranking, and hybrid search..
- Ability to establish robust evaluation frameworks, tracing and observability mechanisms, regression testing, and AI quality-assurance processes..
- Familiarity with MLOps practices, CI/CD pipelines, Kubernetes, and the deployment and operation of AI systems in production..
- Background in developing real-time and conversational AI applications..
- Capability to design and implement AI-powered workflow automation and orchestration solutions, including external system integrations, APIs, and event-driven processes..
- Knowledge of delivering AI solutions in regulated environments; financial-services experience is preferred..
- Demonstrated ability to deliver highly available, scalable, reliable, and operationally mature AI systems..
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