Generative AI Solutions Engineer

Key Responsibilities :

• Design and develop GenAI applications leveraging LLMs (OpenAI, Anthropic, LLaMA, Mistral, etc.) and frameworks.
• Build and optimize RAG pipelines using vector databases (Pinecone, Weaviate, FAISS, Milvus, Chroma).
• Implement prompt engineering, fine-tuning, and model evaluation to improve accuracy and business relevance.
• Develop and deploy AI agents, copilots, and workflow automation using multi-agent frameworks like LangGraph or Agno
• Work with cloud platforms (AWS, Azure, GCP) to scale GenAI applications securely.
• Integrate AI models into enterprise systems via APIs, microservices, or SDKs.
• Research emerging AI models and frameworks to continuously improve solution quality.
• Ensure solutions meet compliance, explainability, and ethical AI standards.

Key Skills & Qualifications :

Nice to Have :