Deeplight
Financial Services
AIEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Engineer at Deeplight. Skills: AI Engineering, Conversational AI, Generative AI, MLOps. Build Conversational AI platforms. Scale Conversational AI platforms”
Industry & Context.
Solve business problems
What They're Looking For.
Must Have
Bachelor’s degree in quantitative field, 5+ years AI/ML engineering, Expert-level Python programming, Deep knowledge of transformer models, Expertise in vector databases, Expertise in SQL/NoSQL systems, Proficiency in Azure AI Foundry, Proficiency in AWS SageMaker, Proficiency in serverless deployments, Proficiency in containerization
Nice to Have
Master’s degree in AI/ML, Experience in regulated environment, Experience with MLOps tools, Experience with data visualization platforms, Experience with LangChain, Experience with CrewAI, Experience with Bedrock, Deep understanding of RLHF, Deep understanding of multimodal AI
What You'll Do.
Build Conversational AI platforms
Scale Conversational AI platforms
Develop automation agents
Implement RAG pipelines
Optimize LLM performance
Apply fine-tuning techniques
Operationalize embedding models
Build CI/CD pipelines
Establish engineering standards
Identify data opportunities
How You'll Work.
Team & Collaboration
Functional teams; High-level stakeholders
Communication Scope
Technical decisions; Vision articulation
Full Job Description
DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations. The Artificial Intelligence (AI) Engineer is a specialist role focused on the engineering, deployment, and scaling of advanced AI systems to drive the Bank’s digital and operational transformation. This position is responsible for building the robust technical foundations required for enterprise-grade applications, including Conversational AI agents, operations automation, and Generative AI initiatives. By developing high-performance pipelines and reusable components, you will ensure that AI products are reliable, compliant, and capable of delivering next-generation experiences for both customers and employees. As the AI Engineer with Deeplight, your responsibilities will include: * Building and scaling next-generation Conversational AI platforms (voice and chat) using LLM-based agents and multi-agent orchestration frameworks. * Developing automation agents for critical banking functions such as KYC, compliance, risk monitoring, and customer service. * Implementing Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases and knowledge graphs to power enterprise search. * Model Optimization: Design and refine prompts to optimize LLM performance and apply advanced parameter-efficient fine-tuning techniques. * Operationalizing embedding models and custom ML solutions by building APIs, SDKs, and CI/CD pipelines with automated retraining and drift management. * Establishing engineering standards for model fairness, security, explainability, and disaster recovery to ensure operational resilience. * Acting as an analytics translator, identifying opportunit
Applying for this AI Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Deeplight?
Real rants from real employees. Read before you apply.