AI Engineer with Development Experienc

• Minimum 5 years of professional software development experience, with significant hands-on exposure to AI/ML
• Strong programming skills (Python preferred; additional languages a plus) and solid grasp of software engineering fundamentals (data structures, APIs, testing, version control)
• Experience with LLMs, agent orchestration tools/frameworks (e.g., LangGraph, multi-agent orchestration, autonomous workflows), MCP, and RAG pipelines
• Experience with RAG systems (embeddings, vector stores, retrieval pipelines)
• Proficiency in SQL and hands-on experience with PostgreSQL (schema design, query optimization, transactional systems) and Snowflake (data warehousing, analytics, performance tuning)
• Familiarity with MCP (Model Context Protocol) building or integrating MCP servers/clients to connect AI agents with tools, data, and internal systems
• Experience with AI infrastructure (cloud platforms, GPU/compute provisioning, MLOps pipelines)
• Ability to independently research, evaluate, and document tools/technologies
• Strong communication skills comfortable presenting technical concepts to varied audiences
• Self-driven with a proactive approach to identifying AI opportunities across the business

Desired skills

• Experience with early/traditional NLP techniques (e.g., rule-based systems, TF-IDF, HMMs, n-gram models, classic POS tagging) in addition to modern deep learning-based NLP — a strong added advantage
• Prior experience running internal tech talks, workshops, or communities of practice
• Exposure to scaling infrastructure for agentic AI and data workloads in production environments