AI Engineer
Kodo (Kodo Technologies Private Limited)Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessNiche LLM/NLP requirements and lesser-known startup increase selectivity, lowering mass applicant competition.
LLM and NLP skills are broadly transferable across industries, making background fit relatively flexible.
Specific mandatory LLM, NLP, cloud, and observability tool expertise increases shortlisting rigidity.
Job Description
Structured overview of role & requirementsAbout This Role
Develop, design, and deploy AI and NLP models leveraging Large Language Models (LLMs) like GPT-4 for business applications.
Integrate AI models with existing systems through API integration for operational use.
Collaborate cross-functionally and keep AI capabilities updated with latest trends and best practices.
Minimum Requirements
Proven experience working with LLMs such as GPT-4 or similar models.
Expertise in Natural Language Processing (NLP) and AI frameworks.
Hands-on experience with API integration and programming languages like Python or JavaScript.
Knowledge of cloud platforms like Azure for AI model deployment.
Ideal Candidate Profile
Experienced in end-to-end AI/ML workflows and familiar with tools like Google ADK and Langgraph.
Skilled with LLM tracing and observability tools (e.g., langsmith, langfuse) suggesting operational deployment experience.
Able to work independently with strong problem-solving capabilities and directly engage with executive leadership (CEO).