Generative AI Engineer

Job Title: Senior / Principal Generative AI Engineer (510 Years Experience)

Location: Bangalore

Department: AI Engineering

Employment Type: Full-time

About the Role:

We are looking for a passionate and experienced Generative AI Engineer to design, implement, and scale intelligent AI agents and applications. You will work on architecting agentic systems powered by LLMs, retrieval-augmented generation (RAG), and reasoning frameworks. The ideal candidate is someone who stays current with the fast-evolving GenAI ecosystem and can transform advanced research into production-grade solutions.

Key Responsibilities"

• Architect, build, and deploy agentic AI systems using frameworks such as LangGraph, Google ADK,Autogen, Semantic Kernel, CrewAI, and LangChain.
• Design and implement RAG pipelines leveraging vector databases (OpenSearch, Pinecone, FAISS, or Weaviate).
• Develop modular and reusable AI agent architectures for dynamic reasoning and tool orchestration.
• Integrate and fine-tune foundation models (GPT, Claude, Gemini, Mistral, Llama, etc.) for domain-specific tasks.
• Work with APIs, embeddings, and context optimization for large-scale AI workflows.
• Collaborate with platform, data, and product teams to ensure robust integration and deployment.
• Implement observability, performance tracking, and continuous evaluation of model and agent behavior.
• Stay up to date with the latest research and open-source developments in LLMs, agents, and cognitive frameworks.
• Mentor and guide junior engineers on prompt design, agent architecture, and optimization techniques.

Required Skills & Experience:

• 510 years of total experience in AI / ML engineering, including at least 2 years in Generative AI.
• Proven expertise with agentic frameworks LangGraph, Google ADK, Semantic Kernel, CrewAI, LangChain, or similar.
• Strong programming skills in Python and familiarity with microservice or API-based systems.
• Hands-on experience with LLMs, vector search, and retrieval-augmented generation ( ) architectures.
• Good understanding of prompt engineering, model evaluation, and context optimization.
• Experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments.
• Exposure to model fine-tuning, LoRA, or custom embedding generation.
• Build multimodal content generation workflows:

Text Image (Stable Diffusion, Runway, Sora, GPT, Midjourney APIs)

Image Image / Video (image transformation, video synthesis)

Text Video (Veo, Sora, Pika Labs, Runway ML, or similar)

Text Audio / Speech (TTS systems, diffusion-based audio models)

Why Join Us:

• Work at the forefront of agentic and generative AI innovation.
• Collaborate with a highly skilled AI research and engineering team.
• Shape the architecture of next-generation intelligent systems.
• Opportunity to lead high-impact projects with cutting-edge LLM and reasoning frameworks.
• Competitive compensation, flexible work setup, and a culture centered on innovation and technical excellence.