GenAI Engineer intern at GoTyme developing micro-apps and decision helpers. Focused on improving internal workflows using modern LLMs and agentic workflows.
Responsibilities
Join a GenAI pod that designs and ships lightweight micro-apps, copilots, and decision helpers for internal high-impact teams.
Help move features from prototype → production quickly, improving decisions and workflows with modern LLMs and agentic workflows.
Shadow pod rituals; set up repos, dev env, and access.
Learn house patterns for prompts, evals, and secure coding in a regulated context.
Craft, test, and iterate prompts for models such as GPT-5, Claude 4, and Gemini.
Log results; identify failure modes (bias, hallucination, latency); propose mitigations and patterns for the wiki.
Build chatbots, unstructured data analyzers, extractors, agentic workflows—in Python with modern agent orchestration tools.
Spin up n8n automations with integrations to platforms like Databricks and Confluence.
Instrument basic telemetry (latency, cost, success rate) and user feedback capture with tools such as MLFlow and Databricks Evals.
Pair with different departments such as Ops/Product/Risk to translate pain-points into scoped tasks.
Run short demos to demonstrate developed features; write concise docs/readmes non-engineers can follow.
Requirements
Final-year student in CS/Engineering/Data Science (or similar) or recent grad.
Python proficiency; comfort with notebooks and scripting.
Familiar with one GenAI SDK (OpenAI, Anthropic, Google, Hugging Face, etc.).
Basic web/API skills (HTTP/REST, JSON, simple React or vanilla JS).
Git fluency and light data wrangling (Pandas or SQL).
Evidence of initiative (side projects, coursework, hackathons).
GenAI Developer Intern leading AI - based projects at Vaisala. Developing AI - assisted test procedures and collaborating with engineers in a hybrid role.
AI Engineer developing agentic AI workflows to enhance drug discovery processes using advanced machine learning. Collaborating with medicinal chemists to deliver effective solutions.
Applied AI Engineer developing LLM solutions for a Copenhagen - based AI startup. Taking ownership of AI workflows and collaborating across teams to enhance product experience.
Lead Full Stack Engineer for AI Platform at Wolters Kluwer, enhancing decision - making in healthcare, legal, and compliance fields. Join a remote - first team with high autonomy and impact.
Issues Manager & AI Lead providing strategic support to the Deputy Minister for Technology and Innovation. Responsible for AI - driven process implementation and operational management.
Senior Lead AI Engineer delivering AI - powered products and optimizing large scale AI production systems at Capital One. Collaborating with cross - functional teams to enhance banking experiences using AI.
Senior Engineer developing innovative AI - powered solutions at Humana. Collaborating with data scientists on generative AI projects and deploying AI technologies for health improvement.
Lead AI Engineer developing and deploying AI - powered solutions at Humana. Collaborating with data scientists and engineers to address complex business challenges using generative AI.
Senior AI Engineer developing and optimizing LLM - driven solutions for enterprise customers at TrustLab. Collaborating with teams to enhance AI evaluation and labeling systems.