Artificial Intelligence Engineer

Experience: 4-5 years of relevant AI Engineer experience.
Notice Period: Immediate to 7 days
Salary: As per market standards
Tech Stack and Responsibilities:
Build and deploy AI models, chatbots, and automation workflows.
Work with NLP, ML, Computer Vision, OCR, and Deep Learning.
Develop AI apps using LLMs (OpenAI, Anthropic, Gemini, etc.).
Explore and manage self-hosted LLMs (Llama 2, Mistral 7B, Falcon, etc.).
Collaborate with teams to deliver scalable AI solutions.
Design and implement backend APIs to support AI-driven solutions.
Requirements:
Strong proficiency in Python (mandatory).
Experience with LangChain for building AI workflows.
Backend API development skills.
Hands-on exposure to LLMs, AI apps, agentic AI, automation, and chatbots.
Working knowledge of SQL, MongoDB, and AWS/Azure basics.
Good-to-Have Skills:
Familiarity with BI tools: Power BI.
Exposure to AI platforms/APIs.
Exposure to automation and integration tools: n8n, UiPath, Microsoft Power Automate.
What We Offer:
High-ownership role with direct product impact as a LLM engineer.
Transparent, collaborative culture.
Fast learning curve with cutting-edge tech.
Competitive compensation.

Work arrangement
No