We are seeking a Generative AI Engineer to design, develop, and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs), Agentic AI frameworks, and Retrieval-Augmented Generation (RAG) architectures.
Key Responsibilities:
- Design and implement Generative AI applications using modern LLM frameworks.
- Develop Agentic AI systems with autonomous planning and tool orchestration capabilities.
- Build scalable AI-powered solutions integrated with enterprise applications.
- Develop and optimize RAG pipelines using vector databases and embeddings.
- Evaluate model performance and implement responsible AI practices.
- Collaborate with engineering teams to integrate AI services into business workflows.
- Participate in architecture design and technical reviews.
Required Skills:
- 3+ years of software development experience.
- Strong Python programming skills.
- Hands-on experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.
- Experience with Vector Databases and Embeddings.
- Knowledge of Agentic AI, RAG, and Multi-Agent Systems.
- Understanding of Machine Learning and Deep Learning fundamentals.
- Experience with Kafka, APIs, and enterprise integrations.
- Familiarity with Docker and cloud platforms (AWS, Azure, or GCP).
- Strong understanding of REST APIs, system design, and data structures.
Preferred Skills:
- Experience building production-grade AI applications.
- Knowledge of model evaluation and prompt engineering techniques.