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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science Student Experience - Spring 2027 - **Company:** Doosan Bobcat - **Location:** Buford, ND, United States - **Salary:** $47,840.0 - $54,080.0 - **Contract:** Temporary contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Cloud Computing, Extract Transform Load (ETL), Database Development, DevOps, Python (Programming Language), NoSQL, Software Product Management, Prometheus, Search Technologies, Solution Deployment Descriptor, SQL Databases, TypeScript, Data Processing, Delivery Pipeline, Large Language Models, Apache Spark, AWS ECS, Pandas, Integration Tests, Information Technology, Low Latency, Optimization Algorithms, HuggingFace, Graphql, Virtual Agents, Cloudwatch, Natural Language Understanding, Docker - **Published:** September 5, 2026 - **Apply:** https://www.disabledperson.com/jobs/74903528-data-science-student-experience-spring-2027 ## About the Role * Freshman, Sophomore, Junior or Senior standing seeking a bachelor's degree in Computer Science, Data Science, Engineering, etc. * Familiarity in these areas is a plus + Python and JavaScript/TypeScript + SQL/NoSQL, ETL Pipelines and data-processing libraries (pandas, Spark) + Building or consuming REST/GraphQL services + AWS Services (Bedrock, S3, Lambda, SageMaker) or equivalent * Be able to commit to Bobcat for the entire term of the co-op (8 months) or internship (4 months) * Attention to detail * Team player, fast learner, and adaptable to change * Excellent interpersonal and communications skills is a must * A self-starter and will dig into problems independently and will look for limited guidance * Ability to follow written instructions ## Description * User Need Analysis - Work with product managers to identify business pain points and translate them into functional specifications for an intelligent agent. * LLM Powered Conversation Engine - Implement natural language understanding, intent detection, and dialogue management using large language models (OpenAI, HuggingFace, etc.). * API Integration - Build and test REST/GraphQL endpoints that connect the agent to external data sources (CRM, ERP, public APIs). * Testing & Debugging - Write unit and integration tests, and troubleshoot performance or correctness issues in the agent pipeline. Knowledge Base & RAG Based Knowledge Agent Development * Knowledge Base Design - Design the schema and data model that will store the agent's knowledge. * Data Update Pipeline - Create automated pipelines to ingest, clean, and update documents, keeping the knowledge base current. * RAG Research & Implementation - Explore Retrieval Augmented Generation techniques to improve answer accuracy, and implement a simple RAG pipeline that pulls context from the knowledge base. * Vector Database Deployment - Deploy a vector search solution (FAISS, Pinecone, Milvus, etc.) to enable fast similarity search over embedded documents. * Relevance Optimization Algorithms - Develop basic ranking/optimization logic to evaluate and improve the relevance of search results returned to users. Solution Deployment & Operations * Cloud Deployment - Package the AI agent as a Docker container and deploy it to a cloud environment (AWS ECS/EKS, Lambda, or SageMaker). * Monitoring & Incident Response - Set up basic metrics (latency, error rates) with CloudWatch or Prometheus and learn how to handle incidents. * Continuous Improvement - Collect user feedback, analyze usage data, and iterate on the agent to enhance performance and user satisfaction. What You'll Gain * Hands on experience with cutting edge generative AI tools and retrieval augmented pipelines. * Exposure to end to end AI product development: from requirement gathering to deployment and ops. * Mentorship from data scientists, and DevOps specialists. * A portfolio ready project that showcases your contribution to a real AI product. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Building with IBM Bob](https://www.wearedevelopers.com/videos/100275-building-with-ibm-bob) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 131 - AI'm not sure about OSS](https://www.wearedevelopers.com/magazine/472-dev-digest-131-ai-m-not-sure-about-oss) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)