AI Engineer – Enterprise AI Platforms & Agentic Systems
India, MH, Pune
정규직
주요 채용 정보
Location:
India, MH, Pune
Job type:
정규직
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.
다쏘시스템은 인류의 발전을 위한 촉매제 역할을 합니다. 우리는 기업과 개인에게 지속 가능한 혁신을 상상할 수 있는 협업용 가상 환경을 제공합니다. 3DEXPERIENCE 플랫폼과 애플리케이션을 통해 현실 세계의 버추얼 트윈 경험을 창출함으로써, 150여 개국의 모든 산업 분야에서 35만 명 이상의 고객에게 가치를 제공합니다. 2만 3,800여명의 열정적인 임직원이 함께하는 글로벌 커뮤니티에 참여하세요!
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