Senior Gen AI Engineer

3 - 5 years

8 - 16 Lacs

Posted:10 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & 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:
  • Document understanding
  • Conversational AI
  • Question answering
  • 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

Preferred candidate profile

  • Degree in Computer Science, Engineering, Data Science, or related field (BE/BTech/MTech/MCA)
  • 35 years of hands-on experience in AI/ML/NLP/LLM solution development
  • Strong understanding of GenAI, Prompt Engineering, LLM internals, and multi-layered data

architectures

  • Exposure to pharma/healthcare domain is a significant plus
  • Excellent problem-solving skills, self-learner, and ability to work in cross-functonal teams
  • Experience developing new applications within an agile environment preferred
  • Ability to work independently and as part of a team
  • Exposure to MLOPs will be an added advantage
  • Creative mindset and openness to new ideas.
  • Ability to work independently as well as in a team.

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, pythonpptx
  • 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,

QA over docs

  • Embedding & Vector Databases: Pinecone, FAISS, ChromaDB
  • RAG & Retrieval Pipelines: LangChain, Haystack, custom retrievers
  • Frontend/Backend Integration: React (preferred), FastAPI/Flask, REST/GraphQL APIs

Versioning & Deployment:

Git, Docker, CI/CD (basic), cloud knowledge is a plus (AWS/GCP/Azure)

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Pharmaace Innovations logo
Pharmaace Innovations

Pharmaceuticals

San Francisco

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