Skip to main content
← Back to Jobs

AI Engineer l (Generative AI)

MyAdviceIndia🌍 Remote
Full-time3-7
₹12L - ₹15L
per year
👁️ 0 views📝 0 applicationsPosted 8/19/2026Expires 9/18/2026
Tailor Resume for This JobCheck ATS Score

Get alerts for roles like this

More AI Engineer l (Generative AI) roles in India — straight to your inbox. No account needed.

Applying to this role? Tailor your résumé to this job description in one click, then download it clean — no watermark, no subscription.

Job Description

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 accelerate model experimen

Required Skills

PythonLangChainVector databasesPineconeFAISSWeaviateLLM fine-tuningPrompt engineeringRetrieval-Augmented Generation (RAG)Cloud platformsMLOpsProduction deploymentGPTLLaMAGeminiAI agentsAI pipelinesData ingestionData preprocessingModel evaluationGenerative AIAI system designAutomated workflowsIntelligent content pipelinesSystem rulesGuardrailsWorkflow instructionsContinuous monitoringInternal frameworksModel experimentation

The best-paying roles in your field. Every week. Free.

Join 10,000+ professionals getting job alerts and salary insights in their inbox

We respect your privacy. Unsubscribe anytime with one click.