Artificial Intelligence Engineer

Who You Are

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