
AI Engineering Lead
1 week ago
We are seeking an experienced engineer to drive the design and development of cutting-edge AI solutions, leveraging advanced orchestration frameworks and graph/vector databases.
Responsibilities- Design scalable AI systems that integrate with workflow orchestration platforms.
- BUILD retrieval-augmented generation pipelines using vector similarity search and graph-based reasoning.
- Collaborate with data scientists, ML engineers, and product teams to design AI-driven business solutions.
- Etablsh patterns and reusable frameworks for AI applications, ensuring performance, reliability, and maintainability.
- Evaluate new AI models, services, and orchestration strategies to accelerate business adoption.
- Ensure data privacy, compliance, and security across AI workflows and integrations.
- Proven expertise in Generative AI solution architecture and applied machine learning workflows.
- Proficiency with orchestration platforms for complex workflows.
- Strong knowledge of vector databases and embeddings, with hands-on experience using pgvector.
- Experience in graph databases, ideally Apache AGE, for building knowledge graphs and advanced reasoning.
- Strong programming skills in Python.
- Understanding of LLM fine-tuning, RAG, prompt engineering, and model deployment strategies.
- Experience working with cloud platforms such as Microsoft Azure is a strong plus.
You will be at the forefront of enterprise AI innovation. Our team pioneers cutting-edge AI solutions that transform industries by driving automation, intelligent decision-making, and hyper-personalized customer experiences. We empower engineers and AI professionals to build scalable, reliable AI systems that solve complex business challenges.
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