Role- Gen AI Engineer
Location - Pune
Work Module - Hybrid
Responsibilities:
Design prototype and deploy AI-driven applications leveraging LLMs (GPT-4 Perplexity Claude
Gemini etc.) and open-source transformer models.
Lead or co-lead end-to-end AI/GenAI solutions: from data ingestion entity extraction and semantic
search to user-facing interfaces.
Implement RAG (Retrieval-Augmented Generation) architectures knowledge grounding pipelines
and prompt orchestration logic.
Fine-tune transformer models (BERT RoBERTa T5 LLaMA) on custom datasets for use cases like:
o Document understanding
o Conversational AI
o Question answering
o Summarization & Topic Modeling
Integrate LLM workflows into scalable backend architectures with APIs and frontends.
Work closely with business teams and pharma SMEs to translate requirements into GenAI
solutions.
Mentor junior engineers and contribute to AI capability development across the organization.
Tech Stack & Skills Required:
Programming & Libraries: Python FastAPI LangChain Pandas PyTorch/TensorFlow
Transformers (HuggingFace) OpenAI SDK
Data Extraction & Processing: PDFMiner PyMuPDF Tabula PyPDF2 Tesseract OCR python-
pptx
Gen AI / LLMs: OpenAI (GPT) Gemini Perplexity Cohere DeepSeek Mistral LLaMA BERT
RoBERTa T5 Falcon
Use Cases: NER Summarization QA Document Parsing Clustering Topic Modeling