AI Generative Engineering

13 hours ago

Mohali, Punjab, India Beyond Root Technology Services Full time ₹ 4,80,000 - ₹ 7,20,000 per year

We are seeking a highly skilled GenAI Engineer with 3–4 years of experience in AI/ML and hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Small Language Models (SLMs), embeddings, and vector databases. You will play a key role in designing, building, and deploying AI-driven solutions that power intelligent applications.

Key Responsibilities

  • Research, design, fine-tune, and deploy LLMs and SLMs for production use cases.
  • Build and implement RAG pipelines with vector databases for domain-specific knowledge integration.
  • Develop and optimize embeddings for search, semantic retrieval, and personalization.
  • Integrate LLMs into real-world applications via APIs, chatbots, or microservices.
  • Experiment with custom model training, fine-tuning, and parameter-efficient techniques (LoRA, PEFT, QLoRA, adapters).
  • Ensure solutions are scalable, cost-optimized, and production-ready.
  • Work closely with data, product, and engineering teams to align AI outputs with business goals.
  • Stay ahead of the curve with the latest GenAI, NLP, and ML research advancements.

Required Skills & Experience

  • 3–4 years of professional experience in AI/ML, NLP, or GenAI engineering.
  • Strong background in LLMs (OpenAI GPT, LLaMA, Falcon, Mistral, Claude, etc.).
  • Experience in RAG workflows using vector DBs like:
  • Pinecone, Weaviate, Milvus, FAISS, Chroma
  • Solid understanding of embeddings models (OpenAI, Hugging Face, Sentence-BERT, InstructorXL).
  • Hands-on with SLMs (Phi-3, TinyLLaMA, DistilBERT, etc.) and techniques for efficiency.
  • Proficiency in Python and frameworks such as:
  • PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex
  • Knowledge of API frameworks: FastAPI, Flask, gRPC.
  • Experience with cloud AI platforms:
  • AWS (SageMaker, Bedrock), Azure AI, GCP Vertex AI.
  • Familiarity with MLOps:
  • MLflow, Weights & Biases, Kubeflow, Docker, Kubernetes, CI/CD pipelines.
  • Experience in data preprocessing and pipelines: Pandas, NumPy, Spark (nice to have). Nice to Have
  • Exposure to multi-modal LLMs (text, vision, speech).
  • Experience building chatbots, copilots, or enterprise GenAI apps.
  • Knowledge of prompt engineering & evaluation frameworks (LangSmith, Promptfoo, Ragas).
  • Hands-on with LLM optimization (quantization, pruning, distillation).
  • Knowledge of security and compliance in AI systems.

Job Types: Full-time, Permanent

Pay: ₹40, ₹60,000.00 per month

Work Location: In person

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