Senior AI Engineer
AcquireX (company site, opens in a new tab)6+ yrsPuneOn-siteDirect career pageEst. 20–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Build and optimize full-stack GenAI applications using technologies such as Next.js, TypeScript, Python, Node.js, .NET, and Azure OpenAI.
- Design, develop, and deploy advanced AI systems including Retrieval-Augmented Generation (RAG) for search and discovery functionalities.
- Establish robust LLM operations (LLMOps) by implementing observability tools to monitor performance metrics including latency, cost, accuracy, and data drift.
Minimum Requirements
- 6+ years of relevant work experience in AI engineering and full-stack development.
- Strong proficiency in Python for AI/ML and backend development.
- Production experience with LLM applications using frameworks like LangChain, LlamaIndex, or Hugging Face Transformers.
- Experience with backend technologies Node.js and .NET, along with cloud platforms Azure or AWS including managed LLM services and container orchestration.
Ideal Candidate Profile
- Experienced in designing and operationalizing Retrieval-Augmented Generation architectures with vector databases such as Pinecone or Milvus.
- Skilled in full-stack development combining frontend frameworks (Next.js, TypeScript) and backend services to support AI-powered applications.
- Proficient in MLOps practices including Docker, CI/CD, and model registries to ensure scalable and maintainable AI deployments.