Core Technical Requirements

Backend & API Development

Expert-level proficiency in modern API frameworks (FastAPI, Django, Flask)
Experience building robust, scalable backend services for AI/ML applications
Understanding of API rate limiting, caching strategies, and performance optimization
Knowledge of microservices architecture and event-driven design patterns

Foundation Models & LLM Integration

Hands-on experience integrating commercial LLM APIs (OpenAI, Anthropic, Google, Azure OpenAI, etc.)
Understanding of prompt engineering techniques and best practices
Experience with model selection, evaluation, and performance monitoring
Knowledge of token management, cost optimization, and response streaming

Open Source AI/ML

Experience deploying and fine-tuning open source models (Llama, Mistral, etc.)
Familiarity with model hosting solutions (Databricks serving, Hugging Face, Ollama, vLLM, or similar)
Understanding of model quantization and optimization techniques
Experience with model evaluation frameworks and benchmarking (MLFlow)

AI Agent Development

Production experience with agentic frameworks (LangGraph, LangChain, CrewAI, AutoGen, or similar)
Understanding of agent architectures (ReAct, Chain-of-Thought, multi-agent systems)
Experience implementing tool use/function calling patterns
Knowledge of memory systems and context management for agents
Experience with agent orchestration, error handling, and reliability patterns
Experience with vector databases (Pinecone, Weaviate, ChromaDB, etc.) and RAG systems
Understanding of embeddings, semantic search, and retrieval strategies
Familiarity with LLM observability and monitoring tools (LangSmith, Weights & Biases, etc.)
Experience with MLOps practices and deployment pipelines
Knowledge of responsible AI practices and safety considerations

Preferred Skills

Experience with model fine-tuning and training (LoRA, QLoRA, full fine-tuning)
Familiarity with cloud AI services (Azure AI, AWS Bedrock, GCP Vertex AI)
Experience with conversational AI and chatbot development
Understanding of structured output generation and validation (Pydantic, instructor, etc.)

Professional Skills

Strong analytical and problem-solving abilities
Ability to stay current with rapidly evolving AI/ML landscape
Experience translating business requirements into technical AI solutions
Comfortable with experimentation and iterative development
Strong communication skills for explaining AI capabilities and limitations to non-technical stakeholders

Qualifications

Bachelors degree in Computer Science, Software Engineering, or a related field.
9+ years of professional software engineering experience.
6+ years of experience designing and implementing large-scale APIs and data solutions.
Proficiency in one or more programming languages: Python, Java, JavaScript, or C++.
Hands-on experience building AI agents is highly preferred.
Strong computer science fundamentals and a proven track record in software design.
Excellent problem-solving, communication, and multitasking skills.

Artificial Intelligence Engineer