Senior AI Engineer

QUINCY, MAPosted a month ago

Job summary

• Job post source

  This job is directly from Granite Telecommunications

• Job overview

  The Senior AI Engineer role at Granite Telecommunications involves developing and deploying advanced AI/ML solutions to automate enterprise operations and optimize decision-making processes.

• Responsibilities and impact

  The candidate will design, build, and deploy AI systems including agentic AI, Retrieval-Augmented Generation pipelines, and reinforcement learning models, collaborating with cross-functional teams to ensure scalable and secure AI integration within the company.

• Experience and skills

  Requires a bachelor's degree in a related field with 5+ years of experience in production AI/ML systems, strong Python programming skills, expertise in LLM fine-tuning, RAG pipelines, agentic AI systems, NLP, and reinforcement learning; advanced degrees and cloud, containerization, and compliance experience are preferred.

• Unique job features

  This role is distinguished by its focus on cutting-edge AI technologies such as LangChain, AutoGPT, ColBERTv2, and advanced model optimization techniques in a complex enterprise environment.

Company overview

Granite Telecommunications is a leading provider of communications services, specializing in delivering voice, data, and other related solutions to multi-location businesses and governmental agencies. They generate revenue by offering a comprehensive suite of services, including local and long-distance phone services, broadband internet, and managed network solutions, often through long-term contracts. Founded in 2002, Granite has grown rapidly, known for its exceptional customer service and reliability, and has established itself as a major player in the telecommunications industry.

How to land this job

• Tailor your resume to emphasize your expertise in developing and deploying production-grade AI/ML systems, especially your experience with fine-tuning Large Language Models (LLMs) like OpenAI models, LLaMA, or Mistral, and your skills in building agentic AI solutions that automate operational processes.

• Highlight your hands-on experience with Retrieval-Augmented Generation (RAG) pipelines, vector databases such as FAISS or Pinecone, and semantic retrieval architectures like ColBERTv2, as these are core to the role at Granite Telecommunications.

• Apply through multiple platforms including Granite Telecommunications' official corporate careers page and LinkedIn to maximize your application visibility and ensure you don't miss any opportunity for this role.

• Connect with current Senior AI Engineers or team members in the AI division at Granite Telecommunications on LinkedIn. When reaching out, use ice breakers like commenting on recent AI projects Granite has launched, or asking about their experience with agentic AI systems and enterprise AI integration.

• Optimize your resume for ATS by incorporating keywords from the job description such as 'LLM fine-tuning,' 'RAG pipelines,' 'agentic AI,' 'ColBERTv2,' and 'reinforcement learning,' ensuring your resume passes automated screening and reaches hiring managers.

• Use Jennie Johnson's Power Apply feature to automate tailoring your resume, identifying multiple application portals, and finding relevant LinkedIn contacts to network with, allowing you to focus your energy on preparing for interviews and further skill development.