Generative AI Engineer

Overall Purpose of the Role

Join a high-performing four-person Generative AI pod that designs and ships lightweight micro-apps, intelligent copilots, and decision-support tools for two high-impact departments. Work on real-world projects spanning both divisions local and international, taking code from prototype to production with direct business impact.

You’ll experiment with cutting-edge LLMs, build scalable tools that save time and boost decision quality, and showcase what’s possible when AI is applied creatively and responsibly in a regulated environment.

Key Responsibilities

Prompt Engineering & Experiments

• Craft and iterate on prompts for LLMs like GPT-4o, Claude 3, Gemini, and Llama 3.
• Identify and document failure modes such as hallucinations, bias, or latency.
• Create internal best-practice guidelines and contribute to the team knowledge base.

Rapid Prototyping

• Build quick to market tools like summarizers, chatbots, and data extractors using Python or TypeScript.
• Use LangChain, Databricks, or other frameworks for orchestration.
• Spin up simple UIs with React or vanilla JS for same-day feedback from end-users.

 Integration & MLOps-Lite

• Wrap models with REST/gRPC endpoints and connect to internal APIs, message queues, or RPA flows.
• Apply Git-based CI workflows and containerize your solutions using Docker.
• Follow secure coding standards and build for maintainability and scale.

Monitoring & Iteration

• Track solution performance (latency, cost, accuracy, feedback) and adjust for quality.
• Automate telemetry, logging, and alerts to surface issues before they affect users.

Collaboration & Knowledge-Sharing

• Work closely with Product, Ops, and Risk to turn business pain points into technical solutions.
• Demo new features, lead internal sessions, and write concise, accessible documentation for non-engineers.

Experience & Skills Required

Must-Haves

• BSc/MSc in Computer Science, Engineering, Data Science, or related field.
• Strong Python skills plus familiarity with at least one GenAI SDK (OpenAI, Anthropic, Gemini, Hugging Face Transformers, etc.).
• Working knowledge of HTML/CSS and basic React or JavaScript.
• Experience with REST APIs, Git workflows, and data handling (SQL or Pandas).
• Evidence of initiative through shipped side-projects, coursework, or personal experimentation.
• Excellent verbal and written communication in English.

Nice-to-Haves

• Experience with Hugging Face, PyTorch/TensorFlow, or vector databases (e.g., Pinecone, FAISS, Chroma).
• Exposure to cloud platforms (AWS, GCP, Azure), CI/CD pipelines, or basic MLOps tools.
• Participation in internships, hackathons, or academic/industry projects especially in fintech, banking, or other regulated sectors