- 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:
- Robust 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.