GEN AI

KEY RESPONSIBILITIES
Design, develop, and deploy AI/ML models and pipelines in production environments
Implement Retrieval-Augmented Generation (RAG) architectures and agentic AI workflows
Fine-tune and optimize LLMs for domain-specific use cases using RLHF, LoRA, QLoRA
Build robust prompt engineering frameworks and evaluation pipelines
Integrate LLM APIs (OpenAI, Claude, Gemini) and open-source models into product features
Develop and maintain vector search infrastructure and embedding pipelines
Collaborate with architects, backend engineers, and product teams on AI feature delivery
Monitor model performance, conduct A/B testing, and iterate based on metrics
Implement guardrails, safety layers, and hallucination-mitigation strategies
Contribute to MLOps practices: model versioning, deployment pipelines, monitoring
KEY SKILLS & REQUIREMENTS
Strong expertise in Python, with deep knowledge of AI/ML libraries (PyTorch, TensorFlow,
HuggingFace
Transformers) Hands-on experience with LLM APIs and prompt engineering techniques (CoT, few-shot,
ReAct) Experience with RAG systems, embedding models (text-embedding-3, BGE, Cohere), and vector
stores
Knowledge of agentic frameworks: LangChain, LlamaIndex, AutoGen, CrewAI, or Semantic Kernel
Familiarity with fine-tuning techniques: LoRA, QLoRA, PEFT, instruction tuning
Experience deploying models on cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML)
Understanding of data preprocessing, feature engineering, and model evaluation metrics
Proficiency with MLOps tools: MLflow, DVC, Weights & Biases, BentoML
Experience with containerization and orchestration: Docker, Kubernetes
Strong debugging and experimentation skills with Jupyter, FastAPI, Streamlit
NICE TO HAVE
Experience with multi-modal models (vision-language models, Whisper, DALL-E) Published papers or
Kaggle/competition achievements
Exposure to speech AI, computer vision, or NLP specializations
Knowledge of responsible AI, fairness metrics, and bias

Skills
LLM, Python, RAG, large language model, retrieval augmented generation

Experience
8-12 yrs