A/AI Research Engineer - E2
Description
Standard Job Description
Basic Qualifications
- Demonstrated years of hands-on experience developing and deploying AI/ML solutions at scale.
- Experience with AI/ML programming languages (Python, C++, etc.)
- Demonstrated hands‑on experience developing, fine‑tuning, or deploying large language models (≥ 10 B parameters).
- Demonstrated expertise in prompt/context engineering (designing, testing, and optimizing prompts for reliability, safety, and performance).
- Bachelor's degree in a STEM or related discipline (e.g. Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Data Science, etc.)
- Research experience in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, or Image Processing.
- Experience deploying/hosting AI solutions & applications into production
Desired Skills
- UI development using applications such as Streamlit
- Design and implementation of autonomous agents (hierarchical RL, planning‑as‑search, LLM‑driven agents).
- Experience with multi‑modal perception loops, self‑reflection, and tool‑use APIs (e.g., ReAct, LangChain Agents).
- Experience with AWS core services (EC2, S3, IAM, VPC, KMS, Lambda, API Gateway) to build and secure scalable infrastructure.
- Proficiency with frameworks that support autonomous reasoning and planning, such as LangGraph, CrewAI, AutoGen, and LlamaIndex.
- Ability to implement hybrid retrieval, semantic chunking, and GraphRAG (combining knowledge graphs with vector search).
- Proficiency in building both MCP Clients (to host models) and MCP Servers (to expose data/tools)
