Experience
2 - 5 yrs
Job Location
Pune, India
Vacancy
1
Designation
Artificial Intelligence Developer
Job Type
ONSITE
Job Description
The ideal candidate will have experience in developing applications using Large Language Models (LLMs) and AI frameworks. You will be responsible for designing, developing, and deploying intelligent applications like chatbots, content generators, summarization tools, and more using cutting-edge technologies like OpenAI, Hugging Face, LangChain, vector databases, and cloud AI tools.
Roles and Responsibilities
- Develop and deploy generative AI applications using LLMs (GPT, Claude, LLaMA, etc.).
- Work with APIs from OpenAI, Hugging Face, Cohere, and other AI model providers.
- Build and integrate tools like LangChain, LlamaIndex, and vector databases (Pinecone, FAISS, Weaviate).
- Implement prompt engineering and fine-tuning techniques for specific business use cases.
- Create workflows for document summarisation, Q&A bots, chat interfaces, and code assistants.
- Collaborate with backend/frontend teams to integrate AI models into applications.
- Optimise AI application performance, cost, and latency.
- Stay updated with advancements in Generative AI and recommend improvements.
Educational Qualification:
- B.E./B.Tech/M.Tech in Computer Science, AI/ML, or related field.
- Certifications in AI/ML, Deep Learning, or Generative AI (preferred).
Technical Skills:
- Strong programming skills in Python (mandatory).
- Hands-on experience with OpenAI APIs, Hugging Face Transformers , or similar.
- Knowledge of Prompt Engineering and Retrieval-Augmented Generation (RAG).
- Experience with LangChain, LLM orchestration, and embedding models.
- Familiarity with vector databases and semantic search.
- Understanding of NLP pipelines and tokenization.
- Experience deploying AI models on AWS/GCP/Azure.
- Git-based version control and collaborative development.
Preferred Skills:
- Fine-tuning open-source AI models.
- Experience with chatbot/GenAI UI tools (Streamlit, React).
- Basic knowledge of MLOps and model lifecycle.
- Familiarity with image/audio generation models (Stable Diffusion, DALL E).
No Referrers Available
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