AI Scientific Software Engineer - Marie

Dassault Systèmes

San Diego (CA)

On-site

USD 120,000 - 145,000

Full time

5 days ago
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Benefits offered by this job

Bonus potential
Medical, dental, vision coverage
401K with match
Tuition reimbursement
Paid holidays

Job summary

Dassault Systèmes' BIOVIA unit seeks an AI Scientific Software Engineer to advance MARIE, an AI-powered companion inside the 3DEXPERIENCE platform, helping scientists navigate complex data and workflows with validated methods.

You will build knowledge integration, agentic AI frameworks, and safety rails, collaborate across product, QA, marketing, and services, and leverage Python AI/ML skills to deliver high-quality software in an Agile team.

Qualifications

  • Master's degree or above with 3+ years in AI/ML development.
  • Strong grasp of LLM fundamentals: tokens, temperature, top-p, context windows.
  • Experience implementing Retrieval-Augmented Generation (RAG), semantic search, vector databases.
  • Prompt engineering to improve AI behavior, reasoning, and response quality.
  • Hands-on experience with LangChain, LangGraph, DeepAgents: tool calling, reasoning loops, memory management, orchestration.
  • Familiarity with Model Context Protocol (MCP).
  • Experience with Agile development methodologies such as Scrum.
  • Knowledge of pharmaceutical/biotech use cases and cheminformatics is a plus.
  • Excellent written and verbal communication; strong analytical/organizational skills.

Responsibilities

  • Build knowledge integration by connecting data sources to MARIE within the MARIE AI-powered companion.
  • Develop and orchestrate agentic AI workflows with tool calling and memory management.
  • Implement guardrails, monitoring, and validation for AI safety and reliability.
  • Collaborate with application development, QA, product marketing, and services teams.
  • Contribute to agile software delivery and continuous improvement within the team.

Skills

LLM fundamentals
RAG systems
Prompt engineering
Agentic AI frameworks
LangChain
LangGraph
DeepAgents
MCP
Pharma/biotech familiarity
OO design
Scrum/Agile
Communication
Analytical skills

Education

Master's degree in a relevant field

Tools

LangChain
LangGraph
DeepAgents
Model Context Protocol (MCP)

Job description

Roles & Responsibilities

BIOVIA, a wholly owned subsidiary of DASSAULT SYSTEMES, provides a sophisticated enterprise system of modeling, simulation, machine learning, laboratory, quality and process execution, and data management solutions. Our customers use these systems to discover, design, and deliver innovative, sustainable, and competitive products to consumers globally. These capabilities are delivered through software applications and cloud services that empower scientists and engineers to access, understand, and analyze their data to produce quality products.

As an AI Scientific Software Engineer, you will support the development of the MARIE AI-powered companion for scientists within BIOVIA products. 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 scientifically grounded, 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:

  • Knowledge Integration: Connect scientific data sources and knowledge bases to MARIE so it can provide accurate, well-sourced answers that draw on both scientific literature and each customer's own data within the platform.
  • 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.
Qualifications
  • Master's degree or above, 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: Design, optimize, and evaluate 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 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

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.

Compensation & Benefits

Dassault Systemes offers an excellent salary with potential for bonus, commensurate with experience. Benefits include a choice of plans providing comprehensive coverage for medical, dental, vision care for employee & dependents as well as employee life, short & long term disability, tuition reimbursement, immediate 401K enrollment, 401K match (50 cents on the dollar, up to the first 8% of your eligible compensation that you contribute based on match eligibility criteria), flexible time off policy, and 10 paid holidays.

Salary Pay Transparency

Compensation for the role will be commensurate with experience. The total expected compensation range will be between $120000 and $145000, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.

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