GenAI/RAG Senior Engineer

Job Description Roles & Responsibilities Build production-grade GenAI solutions including RAG pipelines, prompt engineering, agent workflows, and LLM orchestration Implement vector databases, embedding models, retrieval systems, and context management for RAG architectures Develop and optimize prompts, chains, and agent workflows for business use cases Conduct model evaluation, testing, and optimization for quality, latency, cost, and safety Establish GenAI engineering best practices including code standards, testing frameworks, and deployment patterns Integrate GenAI solutions with enterprise systems, APIs, and data sources Implement monitoring, logging, and observability for production GenAI systems Provide technical mentorship and code reviews for junior AI engineers Partner with Data Engineer on data pipelines and feature stores for GenAI use cases Capture and document reusable patterns, accelerators, and lessons learned KPIs can include but are not limited to: Solution delivery: number of GenAI use cases successfully deployed to production. Quality metrics: accuracy, relevance, and safety of GenAI outputs meeting business requirements Performance optimization: latency and cost efficiency of deployed GenAI solutions Code quality: peer review ratings and technical debt metrics Desired Candidate Profile Educational Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related technical field. Experience: 8+ years software engineering experience with 3+ years focused on AI/ML and 1+ years on GenAI/LLMs. Hands-on experience building production RAG systems, prompt engineering, and LLM orchestration. Experience with modern GenAI platforms (OpenAI, Anthropic, Google, Azure OpenAI) and frameworks (LangChain, LlamaIndex). Knowledge: Deep expertise in GenAI technologies including LLMs, embeddings, vector databases, RAG architectures, and agent frameworks. Strong Python programming skills. Experience with cloud platforms (AWS/Azure/GCP) and MLOps practices. Understanding of NLP, semantic search, and information retrieval. Company Industry TelecomISP Department / Functional Area IT Software Keywords GenAI/RAG Senior Engineer Get real-time job updates only on our App