AI Engineer – Enterprise AI Platforms & Agentic Systems

India, MH, Pune

正式工作

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主要职位信息

Location:

India, MH, Pune

Job type:

正式工作

Product:

Dassault Systèmes

Experience level:

4 to 5 years

Posted on:

5/21/2026

Ref ID:

548217

Design, develop, and maintain enterprise AI solutions including autonomous AI agents, MCP servers, enterprise AI skills, orchestration pipelines, and RAG-based knowledge systems.
Build scalable AI services and frameworks supporting engineering, QA, DevSecOps, and software lifecycle workflows.
Develop intelligent retrieval systems using vector databases, embeddings, indexing, chunking, semantic search, and context management techniques.
Integrate and optimize enterprise AI solutions using OpenAI GPT models, AWS Bedrock, LLaMA, Mistral, and open-source LLM ecosystems.
Collaborate with platform engineers, AI teams, QA teams, and R&D organizations to build secure, scalable, and enterprise-ready AI solutions.
Research and evaluate emerging advancements in Generative AI, Agentic AI systems, RAG pipelines, and LLM orchestration frameworks.
Contribute to reusable AI frameworks, engineering standards, and best practices across the organization.

2–5 years of hands-on experience in Generative AI, NLP, Machine Learning, backend engineering, or AI platform development.
Strong programming expertise in Python and SQL with hands-on experience in AI/ML frameworks such as PyTorch or TensorFlow and backend frameworks like FastAPI.
Practical experience with Large Language Models (LLMs), RAG architectures, Agentic AI workflows, prompt engineering, and AI orchestration frameworks.
Experience working with OpenAI GPT models, AWS Bedrock, LLaMA, Mistral, or similar enterprise/open-source AI ecosystems.
Strong understanding of embeddings, vector databases, semantic retrieval, indexing, chunking methodologies, and context management techniques for enterprise AI systems.
Experience building or integrating MCP servers, AI tools/plugins, API-driven AI systems, and enterprise AI workflows.
Familiarity with Docker, Git, REST APIs, and CI/CD pipelines.
Strong analytical, problem-solving, collaboration, and communication skills with ability to work in cross-functional teams.

Good to Have

Experience with Neo4j, Knowledge Graphs, Kubernetes, Redis, or AI observability platforms.
Exposure to secure AI engineering, AI governance, and enterprise-scale AI deployment practices.
Contributions to open-source AI initiatives, hackathons, or research-driven projects.

Education

BE / B.Tech / MCA / M.Sc or equivalent degree from an accredited university.

Inclusion statement

As a game-changer in sustainable technology and innovation, Dassault Systèmes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it’s our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future.

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