Software Engineer Generative AI

- Design & build GenAI/LLM systems (LLM, RAG, agent-based apps).Architect and optimize distributed, cloud-based AI solutions . - Manage vector search (OpenSearch, vector DBs, PostgreSQL, Kafka) and ingestion pipelines. - Implement fine-tuning (LoRA/QLoRA, instruction tuning) and advanced prompting . - Develop reusable frameworks, evaluation methods, and production-quality pipelines. - Troubleshoot across ML lifecycle (data prep, training, fine-tuning, serving). - Mentor engineers and ensure engineering best practices (testing, security, reliability). Required Skills & Qualifications - BS/MS in CS or related field; 4 + years in distributed/cloud software . - Hands-on with LLMs, RAG architectures, and GenAI techniques . - Strong in Python, shell scripting , and ML frameworks ( LangChain, LlamaIndex, MLflow, Kubeflow, KServe, Triton ). - Expertise in vector databases, retrieval systems, and orchestration tools . - Experience in model optimization, inference scaling, and serving . - Familiarity with cloud platforms (AWS/Azure/GCP) and modern MLOps practices. - Strong communication skills; ability to work with product, research, and customer teams. Preferred Skills - Advanced degree (MS/PhD). - Depth in RAG architecture & vector search solutions . - Experience with multimodal models , DeepSpeed , FasterTransformer , PyTorch/JAX/TensorFlow. - Track record of publications or speaking engagements . Skills: Llm, Python Experience: 4.00-6.00 Years