RAG Or Retrieval Systems Engineer Active
Specializes in retrieval-augmented generation architecture — building the search, indexing, and retrieval layer that grounds LLM outputs in accurate, up-to-date information.
Skills:
Python
PyTorch
Rest Api
Applied AI & LLM Product Engineer Active
Skills:
Analytics tools
LLP
Python
AI Research Engineer Active
Works on pretraining and post-training of foundation models — architecture experiments, training efficiency, alignment techniques (RLHF, DPO), and scaling research, often in collaboration with research scientists.
Skills:
Python
PyTorch
Machine Learning Engineer Active
Owns model development, training, and quality — building and improving the ML models (not just LLM wrappers) that power a product, from data pipeline to production deployment.
Skills:
ONNX
Python
PyTorch
TensorFlow/ Keras
AI Infrastructure Engineer Active
Owns the compute infrastructure that trains and serves AI models — GPU cluster management, distributed training pipelines, and inference serving at scale. A natural pivot for DevOps/backend infra engineers.
Skills:
AWS
Kubernetes
Python
PyTorch
Context Engineer Active
An emerging specialization focused on designing how information is structured, retrieved, and fed into an LLMs context window — optimizing for relevance, token efficiency, and reasoning quality rather than model weights themselves.
Skills:
Python
vLLM
AI Evals Engineer Active
Builds and maintains the evaluation frameworks that determine whether an AI system is good enough to ship — designing test sets, scoring rubrics, automated graders, and regression suites. A role most product companies currently can't hire fast enough for.
Skills:
Data Analyst
Python
vLLM
LLMOps Engineer Active
The MLOps discipline adapted for large language models — owns the infrastructure for deploying, monitoring, versioning, and scaling LLM-based systems in production, including cost management and reliability.
Skills:
Python
TGI
Triton
vLLM
Agentic AI Engineer Active
Specializes in building autonomous or semi-autonomous AI agents that plan, use tools, and take multi-step actions with minimal human intervention. One of the highest-hiring-volume and most technically cutting-edge roles in 2026.
Skills:
AutoGen
CrewAI
LangGraph
Python
AI Engineer (General) Active
The broad, catch-all title for engineers building applications on top of foundation models — spanning RAG, agents, fine-tuning, and infrastructure. Overtook "ML Engineer" as the fastest-growing tech title in 2026. Scope varies widely by company size.
Skills:
Python
