AI Engineer l (Generative AI)
Company: MyAdvice
Location: Bangalore, Karnataka, India
Salary: ₹1.2M - ₹1.5M per year
Type: Full-time
Posted: 2026-06-18
About this role
Our AI Engineers are responsible for designing, developing, and deploying advanced Generative AI solutions to support innovative product capabilities across MyAdvice. This role focuses on building scalable AI systems, including LLM-powered pipelines, AI agents, and retrieval-augmented generation (RAG) solutions. You’ll work closely with cross-functional teams to turn business problems into intelligent, automated, and reliable AI-powered experiences.
The ideal candidate is deeply hands-on with modern LLM ecosystems, can work with frameworks like LangChain and vector databases, and has experience fine-tuning and optimising foundation models, including GPT, LLaMA, Gemini and similar architectures. This position requires a strong grasp of Python, cloud platforms, MLOps processes, and production deployment standards.
If you are passionate about Generative AI, constantly tinkering with new techniques, love solving complex problems, and want to build real-world AI systems at scale, you’ll thrive in this position!
Essential Duties
- Design, build, and deploy Generative AI applications, including chat systems, AI agents, automated workflows, and intelligent content pipelines.
- Develop and maintain RAG (retrieval-augmented generation) architectures using vector stores (e.g., Pinecone, FAISS, Weaviate).
- Fine-tune and evaluate large language models (LLMs), including GPT models, LLaMA, Gemini, and other modern architectures.
- Implement prompt engineering strategies, prompt templates, and reusable frameworks to enhance model reliability and output quality.
- Design, create, and maintain reusable AI skills, system rules, guardrails, and workflow instructions to standardize AI behavior, improve reliability, and support scalable automation across internal and client-facing AI systems.
- Build end-to-end production-ready AI pipelines including data ingestion, preprocessing, training, evaluation, and continuous monitoring.
- Develop tools and internal frameworks that...