GenAI/Agentic AI specialists
Core
Design, develop, test, and deploy autonomous and collaborative AI agents using Generative AI frameworks to enhance automation and reasoning in complex environments.
Role type
Senior Generative AI / Agentic AI Specialist
Builds
Autonomous AI agents, multi-agent systems, and GenAI-powered automation workflows
Domain
Artificial Intelligence, Generative AI, Multi-Agent Systems
Deliverable
production ML models
Required skills
Generative AI solution development, AI agent collaboration and autonomous decision-making, multi-agent frameworks (AutoGen, LangGraph, LangChain, CrewAI), LLM integration (GPT, LLaMA, Mistral), hierarchical agent frameworks, memory architectures, tool use, action planning, prompt engineering, RAG, LLM fine-tuning (PEFT, LoRA, QLoRA), vector databases (Pinecone, Qdrant), deep learning architectures (Transformers, CNNs, RNNs), Python, TensorFlow, PyTorch, NLP tools (SpaCy, NLTK, Gensim), cloud services (Azure, GCP, AWS)
Preferred skills
Experience with small language models (SLMs), text-to-image models, reinforcement learning and planning techniques, Human-Machine Interaction (HMI) frameworks
Technologies
AutoGen, LangGraph, LangChain, CrewAI, LlamaIndex, GPT, LLaMA, Mistral, BERT, Phi-3, Stable Diffusion, DALL·E, Midjourney, Pinecone, Qdrant, Azure, GCP, AWS, TensorFlow, Keras, PyTorch, OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim
Responsibilities
Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models; Integrate LLMs with agentic frameworks to enhance automation and reasoning; Develop and deploy AI agents that operate independently or collaboratively in complex environments; Orchestrate AI workflows using multi-agent frameworks; Implement advanced statistical methods and transformer-based text processing for agent behavior
Seniority
Senior, hands-on IC