We are seeking a skilled Generative AI Engineer to design, develop, and deploy AI solutions using Large Language Models (LLMs), multimodal models, vector databases, and AI agents. The ideal candidate should have hands-on experience in building AI-powered applications, optimizing model performance, integrating AI systems into production environments, and staying current with the rapidly evolving GenAI landscape.

Key Responsibilities

Design, develop, and deploy GenAI-based solutions using LLMs (e.g., GPT, Llama, Claude, Mistral).
Build and fine-tune foundation models for application-specific tasks such as:
Text generation and classification
Autonomous AI agents
Retrieval-Augmented Generation (RAG)
Knowledge Augmented Generation (KAG)
Chatbots and conversational systems
Integrate AI models with applications using frameworks such as Lang Chain and Lang graph.
Develop scalable inference architectures using GPU/CPU compute systems, vector databases, and orchestration frameworks.
Implement RAG/KAG pipelines using vector stores like Pinecone or Weaviate.
Work with prompt engineering, evaluation strategies, and quality measurement Deploy AI workloads to cloud platforms (AWS, Azure, GCP) using services such as :
Bedrock, Sage maker, Vertex AI, Azure OpenAI
Kubernetes, Docker
Implement data pipelines and manage training datasets for continual improvement.
Ensure compliance with responsible AI practices, including security, privacy, and hallucination reduction.
Collaborate with product, UX, and engineering teams to deliver customer-focused AI solutions.

Required Skills & Qualifications

Bachelors or Masters degree in Computer Science, Data Science, AI/ML, Engineering, or equivalent.
Strong programming skills in Python.
Hands-on experience with :
LLMs and NLP systems
KAG and RAG implementations
Embeddings, vector search, and knowledge indexing
Experience with AI orchestration tools:
Lang Chain, Lang graph, or similar
Familiarity with GPU compute optimization.
Strong understanding of REST APIs, microservices, and modern backend architecture.
Experience with cloud platforms such as AWS, GCP, or Azure

(ref:hirist.tech)

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Arivonix - Generative AI Engineer