Artificial Intelligence Engineer

Nasscomm; Saint Paul (MN); On-site; USD 120,000 - 180,000; Full time

Job summary

Nasscomm is seeking an AI/ML professional to support enterprise AI initiatives and hands-on work with Generative AI, LLMs, tool calling, and multi-agent workflows. The role involves prototyping use cases, evaluating foundation models, and collaborating with data, engineering, and business teams to move solutions toward production.

The ideal candidate will have strong Python and ReactJS skills, experience with LangChain/Crew AI, and a solid background in AI operations and CI/CD practices within

Qualifications

• 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 GCP 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

Responsibilities

• 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.

Skills

AI/ML experience

Prompt engineering

Multimodal AI

RAG and tool calling

Python

ReactJS

CI/CD for AI

Education

Bachelor’s degree in computer science, STEM, or equivalent experience

Tools

LangChain

Strands

Crew AI

Vector databases

AWS Bedrock

Azure

GCP

Jenkins

GitHub

Claude

Copilot

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 GCP 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