Expedite Technology Solutions LLC
Data & AI - LLM Model Developer
Expedite Technology Solutions LLC, Hartford, Connecticut, us, 06112
Overview
Join to apply for the
Data & AI - LLM Model Developer
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Expedite Technology Solutions LLC Location: Hartford - Remote This role is remote. Qualifications
Must-have skills: LLMs, NLPs, Deep Learning, Machine Learning Operations, Python, RAG Years of experience: Minimum 5 years hands-on for each skill Education: Bachelor’s degree Visa Restrictions: USA work Visa Industry experience: Yes, hands-on experience necessary Nice-to-have skills: Springboot, RESTful, AWS, Angular Strong programming skills in Python with experience in LLM frameworks such as Hugging Face Transformers, OpenAI API, and LangChain. Proficiency in deep learning libraries like TensorFlow or PyTorch, with expertise in fine-tuning, pre-training, and optimizing LLMs for real-world applications. Hands-on experience with retrieval-augmented generation (RAG), agentic AI architectures, and LLM-based autonomous agents for decision-making and task automation. Strong understanding of natural language processing (NLP) concepts, including embedding models, vector databases (FAISS, Pinecone, Weaviate), and knowledge graphs. Familiarity with MLOps and experience working with cloud platforms (AWS or Azure) for scalable AI solutions. Ability to design and implement LLM-powered AI agents that integrate with APIs, databases, and external systems to perform autonomous reasoning and multi-step workflows. Experience in SpringBoot, RESTful Services, AWS, DB2, OpenShift Experience in Angular framework
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Join to apply for the
Data & AI - LLM Model Developer
role at
Expedite Technology Solutions LLC Location: Hartford - Remote This role is remote. Qualifications
Must-have skills: LLMs, NLPs, Deep Learning, Machine Learning Operations, Python, RAG Years of experience: Minimum 5 years hands-on for each skill Education: Bachelor’s degree Visa Restrictions: USA work Visa Industry experience: Yes, hands-on experience necessary Nice-to-have skills: Springboot, RESTful, AWS, Angular Strong programming skills in Python with experience in LLM frameworks such as Hugging Face Transformers, OpenAI API, and LangChain. Proficiency in deep learning libraries like TensorFlow or PyTorch, with expertise in fine-tuning, pre-training, and optimizing LLMs for real-world applications. Hands-on experience with retrieval-augmented generation (RAG), agentic AI architectures, and LLM-based autonomous agents for decision-making and task automation. Strong understanding of natural language processing (NLP) concepts, including embedding models, vector databases (FAISS, Pinecone, Weaviate), and knowledge graphs. Familiarity with MLOps and experience working with cloud platforms (AWS or Azure) for scalable AI solutions. Ability to design and implement LLM-powered AI agents that integrate with APIs, databases, and external systems to perform autonomous reasoning and multi-step workflows. Experience in SpringBoot, RESTful Services, AWS, DB2, OpenShift Experience in Angular framework
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