Duties
We are looking for : Full-Stack AI Engineer with Agentic AI + RAG + Computer Vision experience
About The Role
We are looking for a hands-on AI Engineer to build next-generation GenAI and agentic solutions across engineering, procurement, cost transformation, and operations. The role involves developing AI agents, copilots, and decision-support tools that leverage LLMs, computer vision, knowledge graphs, and enterprise data to solve complex business problems.
Skills
Key Responsibilities
- Design and build AI agents for engineering, procurement, sourcing, and transformation use cases
- Develop GenAI applications using LLMs, RAG architectures, and agentic workflows
- Build document intelligence solutions capable of extracting insights from drawings, specifications, contracts, RFQs, BOMs, and technical documents
- Develop knowledge graphs and reasoning engines to support decision-making and automation
- Integrate AI solutions with enterprise systems such as ERP, PLM, procurement, and collaboration platforms
- Deploy scalable applications on cloud environments and continuously improve performance
Required Skills
- 3–8 years of experience in AI/ML, GenAI, or software development
- Strong Python programming skills
- Experience with LLMs, RAG, AI agents, LangChain, LlamaIndex, OpenAI/Anthropic models
- Familiarity with vector databases, embeddings, and knowledge graph concepts
- Experience building production-grade applications and APIs
- Understanding of cloud platforms (Azure, AWS, or GCP)
- Strong problem-solving and product development mindset
Preferred Skills
- Experience with Computer Vision and document intelligence
- Exposure to manufacturing, engineering, procurement, supply chain, or cost optimization domains
- Knowledge of graph databases
- Experience building enterprise AI copilots or automation solutions
Education
Bachelor's degree/Master's Degree in Computer Science, Information Systems, Electrical Engineering or related discipline with excellent academic record
