AWS with LLM
Hartford CT, Atlanta, St. Paul, MN
6 Months
Only w2
Job Description
• Support AI and emerging technology initiatives across business and technology teams.
• Work hands-on with AI/ML, Generative AI, and agentic AI solutions.
• Help develop and prototype AI use cases that solve real business problems.
• Evaluate and apply foundation models, LLMs, and modern AI frameworks.
• Contribute to RAG, memory systems, tool use, and function-calling patterns.
• Support multi-agent workflows and autonomous AI capabilities.
• Assist with AI experimentation, proof-of-concepts, and solution testing.
• Partner with data, engineering, and business teams to move AI solutions toward production.
• Support MLOps, AI Ops, deployment, monitoring, and CI/CD practices.
• Communicate technical AI concepts clearly to both technical and non-technical audiences.
• Promote responsible AI practices, including ethics, governance, and bias mitigation.
Required Skills
• Bachelor’s degree in computer science, STEM, or equivalent experience.
• Experience in AI/ML, Generative AI, or advanced analytics.
• Strong understanding of machine learning fundamentals and model evaluation.
• Hands-on exposure to LLMs, prompt engineering, fine-tuning, and multimodal AI.
• Familiarity with agentic frameworks such as LangChain, Strands, or Crew AI.
• Experience with vector databases, RAG, and tool/function calling.
• Exposure to cloud AI platforms such as AWS Bedrock; Azure or Google Cloud Platform is a plus.
• Understanding of MLOps, AI Ops, and CI/CD for AI solutions.
• Strong analytical, problem-solving, and communication skills.
• Ability to work well in agile, cross-functional teams.
• Hands on with Python and ReactJS
Mandatory Skillsets: Python, OpenAI with LLM, ReactJS, NodeJS, Jenkins, GitHub, Claude, Copilot
Regards,
Vikram Raj
I
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