About the Role
We’re hiring an AI Engineer with hands-on expertise in Large Language Models (LLMs) and Generative AI to build intelligent solutions like chatbots, content generators, and summarization tools. The role involves full-cycle AI development, from model design and integration to deployment and optimization, using frameworks like OpenAI, Hugging Face, Lang Chain, and vector databases.
Key Responsibilities
- Design, develop, and deploy LLM-based Generative AI applications (chatbots, Q&A systems, summarizers).
- Work with OpenAI, Hugging Face, Cohere, and similar APIs for model integration.
- Apply prompt engineering, RAG pipelines, and fine-tuning for business-specific use cases.
- Integrate AI models with web/mobile apps, collaborating with frontend and backend teams.
- Utilize Lang Chain, Llama Index, and vector DBs (Pinecone, FAISS, We-Aviate) for semantic search and LLM orchestration.
- Deploy and monitor models on AWS/GCP/Azure (Any one is fine) ensuring performance and cost efficiency.
- Stay updated on emerging trends in Generative AI and LLMs.
Requirements
- B.E./B.Tech/M.Tech in Computer Science, AI/ML, or related field.
- 3–5 years of hands-on experience in AI/ML and Generative AI projects.
- Strong Python programming skills.
- Practical experience with OpenAI APIs, Hugging Face Transformers, or similar tools.
- Familiarity with Lang Chain, embeddings, and LLM orchestration.
- Experience deploying AI solutions on cloud platforms (AWS, GCP, or Azure).
- Excellent communication and collaboration skills.
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