Generative AI Engineer

3 days ago

New Delhi, India Mastech Digital Full time

Role Overview: Looking for a Generative AI Specialist with 5-7 years of experience focusing on state-of-the-art generative AI technologies including large language models (LLMs) and agentic AI. The candidate will act as a technical mentor, engaging with clients to develop advanced generative solutions and mentor junior team members. Key Responsibilities: Architect, fine-tune, and deploy Generative AI and LLM-based solutions for diverse industries. Lead development of RAG pipelines, multi-agent orchestration, and generative workflows for automation. Collaborate with clients to define problem statements, data strategies, and AI integration approaches. Design and execute rapid prototypes and POCs using transformer-based and diffusion-based architectures. Mentor junior engineers on LLM fine-tuning, prompt engineering, and API-based integration. Continuously evaluate and adopt emerging open-source frameworks and foundation models (e.g., Llama, Claude, Gemini, Mistral). Drive MLOps integration for generative AI solutions ensuring scalability, reproducibility, and compliance.Requirements: 5–7 years of overall AI experience, with at least 2–3 years dedicated to Generative AI and LLM-based systems. Hands-on experience building RAG, conversational, or multi-agent-based AI architectures. Expertise in fine-tuning, prompt optimization, and LLM orchestration. Proven success in developing generative solutions for enterprise applications. Excellent communication and technical mentoring skills. Bachelor’s/master’s degree in computer science, AI, or related disciplineDesired Technical Skills & Tools: Programming:Python, LangChain, LlamaIndex, Multi Agentic Systems LLM Frameworks:OpenAI GPT series, Hugging Face Transformers, Anthropic Claude, Mistral, Llama 3, Agnos Generative AI Tools:LangGraph, Vector Databases (Pinecone, FAISS, Chroma), PromptLayer, LangFuse RAG & Agent Frameworks:Haystack, Semantic Kernel, AutoGen, CrewAI MLOps & Deployment:Docker, Kubernetes, MLflow, Vertex AI, Azure OpenAI, AWS Bedrock Data & Integration:REST APIs, Kafka, ElasticSearch, PostgreSQL, NoSQL, Data Lakes Other Skills:Prompt Engineering, Model Evaluation Metrics, Hallucination Control, Knowledge Graphs, Context Management Cloud & Infra:Azure AI Studio, AWS SageMaker, GCP GenAI Studio

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