AI Engineer

Role Overview

AI Engineer at Deeplight, a specialist AI and data consultancy implementing intelligent enterprise systems across multiple industries with depth in financial services and banking.

Company Overview

DeepLight AI combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with practical understanding of complex business operations. The team has extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking.

Role Purpose

The AI Engineer is a specialist role focused on the engineering, deployment, and scaling of advanced AI systems to drive digital and operational transformation. This position builds robust technical foundations 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.

Key Responsibilities

Conversational AI & Agent Development

• Build and scale next-generation Conversational AI platforms using voice and chat modalities with LLM-based agents and multi-agent orchestration frameworks.
• Develop automation agents for critical banking functions such as KYC, compliance, risk monitoring, and customer service.

Advanced AI Implementation

• Implement Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases and knowledge graphs to power enterprise search.
• Design and refine prompts to optimize LLM performance and apply advanced parameter-efficient fine-tuning techniques.

MLOps & Operationalization

• Operationalize embedding models and custom ML solutions by building APIs, SDKs, and CI/CD pipelines with automated retraining and drift management.

Governance & Standards

• Establish engineering standards for model fairness, security, explainability, and disaster recovery to ensure operational resilience.

Business Translation

• Act as an analytics translator, identifying opportunities for leveraging data to solve complex business problems across functional teams.
• Bridge the gap between complex data science and actionable business value by articulating the "why" behind technical decisions.
• Present cutting-edge solutions to high-level stakeholders and effectively communicate your vision.

Qualifications & Experience

• Bachelor's degree in a quantitative field (Computer Science, AI, Software Engineering, or Mathematics); Master's degree in AI/ML highly preferred.
• 5+ years in AI/ML engineering or large-scale digital product engineering, ideally within a major digital transformation or digital-only bank project.
• Proven experience deploying large-scale AI/ML solutions within a regulated environment (Banking or Financial Services preferred).

Skills & Competencies

Programming & Core Technical Skills

• Expert-level programming in Python specifically for ML/AI engineering and Generative AI applications.
• Deep knowledge of transformer models, multimodal architectures, and agentic AI systems including multi-agent frameworks and human-in-the-loop approaches.

Databases & Knowledge Systems

• Expertise in vector databases (Pinecone, Weaviate, Milvus).
• Deep knowledge of knowledge graphs.
• Proficiency with both SQL and NoSQL systems (Postgres, MongoDB).

MLOps & Deployment

• Hands-on experience with MLOps tools (MLflow, CI/CD).
• Proficiency in Azure AI Foundry or AWS SageMaker, including serverless deployments (Lambda/Azure Functions) and containerization (Docker, Kubernetes).
• Hands-on experience with data visualization platforms (Tableau, Power BI).

AI Systems & Monitoring

• Deep understanding of LLM evaluation metrics and observability frameworks for monitoring agentic workflows.
• Ability to quickly build and test AI prototypes while maintaining a focus on enterprise-grade security and compliance.

Emerging Technologies & Community

• Active engagement in the AI community with a track record of evaluating emerging tools like LangChain, CrewAI, and Bedrock.
• Deep understanding of emerging trends such as Reinforcement Learning from Human Feedback (RLHF) and multimodal AI.

Communication & Stakeholder Management

• Exceptional communication skills to bridge the gap between technical requirements and business objectives for non-technical stakeholders.

Additional Information

• Competitive salary.
• Visa sponsorship for the successful individual.
• Comprehensive health insurance for the successful individual.
• Professional development and certification support.
• Opportunity to work on cutting-edge AI projects.
• Career advancement opportunities in a rapidly growing AI company.

DeepLight AI is committed to fostering an inclusive environment where individuals with different thinking styles can thrive. The application and interview process is designed to be accessible, predictable, and fair for all candidates. Reasonable adjustments are available upon request and will be kept strictly confidential without impact on hiring decisions.