
AI Engineer
12 hours ago
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: ₹50, ₹60,000.00 per month
Experience:
- AI ML: 3 years (Required)
Location:
- Mohali, Punjab (Required)
Work Location: In person
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