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 .