Evnek - Generative AI Engineer

Job Summary:

We are seeking a highly skilled GenAI Engineer with 4+ years of experience in designing, developing, and deploying enterprise-grade Generative AI solutions. The ideal candidate will have hands-on experience delivering production-ready AI applications and a strong background in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, AI orchestration frameworks, and cloud-native AI platforms. This role will focus on building scalable, secure, and high-performance AI solutions that address real-world business challenges.

Key Responsibilities:

- Design, develop, and deploy enterprise-grade Generative AI applications and solutions.

- Build and optimize AI-powered applications using Large Language Models (LLMs).

- Develop Retrieval-Augmented Generation (RAG) pipelines for enhanced knowledge retrieval and response generation.

- Create and refine prompt engineering strategies to improve model performance and output quality.

- Build AI agents and orchestrate complex AI workflows using modern frameworks and tools.

- Develop scalable APIs and services to support AI-driven applications.

- Integrate enterprise data sources into AI workflows and knowledge systems.

- Implement semantic search capabilities using vector databases and embedding-based retrieval techniques.

- Build and deploy cloud-native AI solutions leveraging Azure and Databricks platforms.

- Optimize AI application performance, scalability, reliability, and security.

- Collaborate with cross-functional teams to translate business requirements into AI-powered solutions.

- Maintain technical documentation and follow best practices for AI development and deployment.

Required Skills & Experience:

- 4+ years of experience in AI, Machine Learning, or Generative AI development.

- Hands-on experience with Generative AI, LLMs, and production-grade AI solutions.

- Strong expertise in Retrieval-Augmented Generation (RAG) and Prompt Engineering.

- Experience with Azure OpenAI and Azure AI Services.

- Proficiency in Python for AI application development.

- Experience building AI agents and orchestrating AI workflows.

- Hands-on experience with LangChain or similar AI orchestration frameworks.

- Strong understanding of Semantic Search and Vector Databases.

- Experience with Databricks and cloud-native AI architectures.

- Expertise in API development using FastAPI or similar frameworks.

- Knowledge of Machine Learning concepts and AI model deployment.

- Strong analytical, problem-solving, and collaboration skills.

(ref:hirist.tech)