AI Generative Engineering

Beyond Root Technology Services

3 - 4 years

4 - 7 Lacs

mohali

Posted:4 days ago| Platform: GlassDoor logo

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Skills Required

ai engineering ml retrieval power research design model training tuning data openai mistral pytorch tensorflow api fastapi flask aws sagemaker azure gcp vertex mlflow docker kubernetes preprocessing numpy spark vision evaluation quantization security

Work Mode

On-site

Job Type

Full Time

Job Description

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: ₹40,000.00 - ₹60,000.00 per month

Work Location: In person

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