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We are looking for a motivated and ambitious AI Engineer to join our rapidly growing team. Join us in an exhilarating work environment where we harness the power of state-of-the-art technologies to create innovative projects.
Job Responsibility:
Building AI agent systems with reasoning and autonomous tool-use capabilities
Implementing RAG (Retrieval-Augmented Generation) pipelines for knowledge-enhanced applications
Fine-tuning and deploying large language models for production use
Creating conversational AI interfaces and intelligent chatbot systems
Integrating AI agents with APIs, databases, and enterprise business systems
Optimizing LLM performance, response quality, and operational costs
Git for version control and collaborative AI development projects
Requirements:
Strong understanding of Generative AI, RAG systems, and model fine-tuning
Expert knowledge of prompt engineering and LLM optimization techniques
Hands-on experience with agent frameworks (LangChain, LlamaIndex, AutoGPT)
Proficiency in Python with AI frameworks (PyTorch, Transformers, Hugging Face)
Experience with LLM APIs (OpenAI, Anthropic, Claude) and local model deployment
Knowledge of vector databases, embedding systems, and semantic search
Experience with model serving, deployment, monitoring, and cost optimization
Strong software engineering skills with APIs, microservices, and cloud platforms
Candidates should have 5+ year experience
Nice to have:
Multi-agent system design and agent orchestration frameworks
LLM fine-tuning techniques (LoRA, QLoRA, RLHF)
Real-time streaming systems and WebSocket implementations
Enterprise AI deployment, security, and compliance considerations
Data Engineering Skills (ETL processes, data pipelines, SQL, and data storage solutions)
Experience with Big Data technologies (Hadoop, Spark, or Cassandra)
Experience with Computer Vision and Reinforcement Learning
Cloud-based Machine Learning services and MLOps workflows