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Generative AI Engineer
Generative AI EngineerBiocliq AI • Bengaluru, Karnataka, India
Generative AI Engineer

Generative AI Engineer

Biocliq AI • Bengaluru, Karnataka, India
1 day ago
Job description

About the Role

We are seeking a motivated Generative AI Engineer with 1–3 years of hands-on experience in building, fine-tuning, and deploying generative models. You will work on real-world applications of LLMs, vision-language models, and multimodal generative systems, contributing to product features, internal automation tools, and customer-facing solutions.

This role is ideal for engineers who are passionate about pushing the boundaries of generative AI, experimenting rapidly, and building reliable, production-ready AI features.

Key Responsibilities

Model Development & Fine-Tuning

  • Develop, fine-tune, and evaluate LLMs, diffusion models, VLMs, and transformer-based architectures.
  • Train models using custom datasets, including text, image, audio, and multimodal data.
  • Implement prompt engineering, instruction tuning, and retrieval-augmented generation (RAG) pipelines.

AI System Engineering

  • Build scalable inference pipelines using Python and modern ML frameworks (PyTorch, HuggingFace, TensorRT, ONNX).
  • Implement model optimization techniques (quantization, distillation, pruning) for deployment on cloud or edge devices.
  • Integrate generative AI models into backend microservices and APIs.
  • Data Engineering & Preparation

  • Create robust data pipelines for dataset collection, preprocessing, augmentation, and evaluation.
  • Maintain dataset quality with labeling, cleaning, filtering, and benchmarking.
  • Research & Rapid Experimentation

  • Explore new architectures, training techniques, and SOTA research papers.
  • Run controlled experiments, A / B tests, and performance validations.
  • Prototype and iterate quickly to convert ideas into functional demos.
  • Production Deployment

  • Work with DevOps / MLOps teams to package and deploy models in production (Docker, Kubernetes preferred).
  • Monitor model performance, drift, quality, latency, and reliability once deployed.
  • Required Skills & Experience

  • 1–3 years experience in applied ML or generative AI is a MUST
  • Strong proficiency in Python , PyTorch / TensorFlow, and HuggingFace ecosystem.
  • Practical experience with LLMs, diffusion models, or vision transformers .
  • Hands-on experience fine-tuning models on custom datasets.
  • Familiarity with cloud services (AWS / GCP / Azure) or on-prem GPU stacks.
  • Understanding of transformer architecture, embeddings, tokenization, attention mechanisms.
  • Experience with APIs, microservices, or backend engineering using Python (FastAPI / Flask).
  • Strong debugging, experimentation, and documentation skills.
  • Nice-to-Have

  • Experience with OpenAI, Anthropic, Mistral, Llama, Qwen , or similar model families.
  • Familiarity with vector databases (Pinecone, Weaviate, FAISS).
  • Knowledge of RAG , agentic workflows , and LLM tool-use frameworks (LangChain, LlamaIndex).
  • Exposure to multimodal models (e.g., CLIP, VLMs, SAM, diffusion models).
  • Experience in medical imaging, radiology AI, or healthcare AI (bonus for Biocliq / Eliqsar context).
  • Contributions to open-source ML projects or published research.
  • Education

  • Bachelor’s or Master’s degree in Computer Science, AI / ML, Data Science, Applied Math, or a related field is a MUST.
  • Equivalent practical experience is also considered.
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    Generative Ai Engineer • Bengaluru, Karnataka, India

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