Artificial Intelligence Engineer

You're an AI Engineer with 2+ years of experience who understands that context engineering is becoming the most important skill an AI engineer can develop. You're passionate about building intelligent systems that solve real-world problems and excited about mastering the art of providing the right context to unlock LLM potential in complex, dynamic applications. Responsibilities ● Build and integrate LLM-powered features including document generation, intelligent assessments, and conversational agents ● Design voice AI pipelines for real-time speech processing and multi-language support ● Master context engineering - dynamically managing memory, retrieval, and information flow across complex agent trajectories ● Create agentic workflows that can understand context and generate domain-specific outputs ● Integrate with LLM APIs (OpenAI, Anthropic, etc.) and optimize model performance for production use ● Collaborate with engineering teams to seamlessly integrate AI capabilities into applications Qualifications Required ● 2+ years of hands-on experience building AI systems in production environments ● Strong expertise in Python and LLMs, prompt engineering, and API integrations (OpenAI, Anthropic, etc.) ● Proficiency in core AI/ML libraries (transformers, LangChain, PyTorch/TensorFlow) ● Experience building RAG systems and working with vector databases ● Understanding of agentic AI systems and multi-agent architectures ● Knowledge of speech technologies (STT/TTS) and NLP frameworks ● Familiarity with cloud platforms (AWS/Azure) and MLOps practices Nice to Have ● Experience with voice AI applications and real-time audio processing ● Healthcare domain knowledge or experience with compliance requirements ● Background in fine-tuning LLMs or multilingual NLP models ● Python FastAPI experience for building AI-powered APIs ● Experience with multi-agent frameworks like LangGraph, CrewAI, or AutoGen

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