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# AI Scientific Software Engineer - Pipeline Pilot

- **Company:** Dassault Systems Enovia Corp.
- **Location:** San Diego, CA, United States
- **Experience:** Experienced
- **Salary:** $140,000.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Agile Methodology, Artificial Intelligence, Computer Programming, Software Design Patterns, Memory Management, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Scrum Methodology, Software Architecture, Software Safety, Search Technologies, Software Engineering, Large Language Models, Prompt Engineering, Agentic-AI, Information Technology, Model Context Protocol
- **Published:** October 7, 2026
- **Apply:** https://talentacquisition.3ds.com/careersection/qa/jobapply.ftl?job=550056&lang=en&src=CWS-10080

## About the Role

· PhD in Life Sciences or Computer Science, with 3+ years of software development experience and relevant experience specifically within the AI/ML development landscape.

· AI/ML Literacy: A strong grasp of LLM fundamentals, including tokens, temperature, top-p, and context windows.

· Experience implementing Retrieval-Augmented Generation (RAG) systems, semantic search, and vector databases.

· Prompt Engineering & Evaluation: Experience designing, optimizing, and evaluating prompts to improve AI behavior, reasoning, and response quality.

· Agentic AI Frameworks: Hands-on experience working with agentic AI frameworks such as LangChain, LangGraph, and DeepAgents, involving tool calling, reasoning loops, memory management, skills orchestration, guardrails, and multi-step task execution.

· Experience using BIOVIA Pipeline Pilot or similar chemical information software.

· Experience with Model Context Protocol (MCP).

· Familiarity with the use cases, processes, and methods used within the pharmaceutical and biotech industries, as well as by cheminformaticists and computational chemists, is a major plus.

· Broad technical knowledge of object-oriented design and implementation, design patterns, and software development methodologies.

· Excellent written and verbal communication skills.

· Strong analytical and organizational skills.

· Strong personal drive to learn leading-edge technologies and excel.

· Experience with Agile development methodologies such as Scrum.

Inclusion statement

## Description

As an AI Scientific Software Developer, you will support the development of the MARIE AI-powered companion for scientists within BIOVIA products, specifically Pipeline Pilot. This role is a hybrid onsite position most preferably at our San Diego, CA office.

MARIE is a co-scientist that lives within the 3DEXPERIENCE platform-a scientific Virtual Companion that helps scientists navigate complexity with confidence. By reasoning through, orchestrating, and executing multi-step workflows using validated scientific methods, MARIE delivers deterministic, actionable outcomes. Our scientific functionality is a cornerstone of BIOVIA's enterprise solutions for the pharmaceutical, biotechnology, and fine-chemical industries.

You will be building:

· Model & Prompt Engineering: Design, test, and iterate on prompts that improve reasoning, factuality, and user experience.

· Agentic AI Frameworks: Build, manage, and orchestrate agentic workflows involving tool calling, reasoning loops, memory management, skills orchestration, and multi-step task execution.

· AI Safety & Reliability: Implement guardrails, monitoring, and validation mechanisms to ensure AI systems remain safe, reliable, and ethically grounded.

· This position will focus on developing new approaches to scientific software as part of a larger, dynamic development team dedicated to delivering high-quality, on-time software releases using best-of-breed Agile practices.

· The qualified candidate will have an excellent background in Python AI/ML programming, including AI-assisted coding.

· Familiarity with software architecture, design, optimization, and maintenance.

· In addition to being a hands-on engineer, the successful applicant will develop collaborative working relationships with application development, quality assurance, product marketing, technical communications, and technical services teams across the company.