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Generative AI Engineer
Generative AI EngineerMastech Digital • Bengaluru, India
Generative AI Engineer

Generative AI Engineer

Mastech Digital • Bengaluru, India
19 days ago
Job description

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 discipline
  • Desired 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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