We’re looking for a Senior AI Engineer who thrives on building real-world Generative AI solutions. In this role, you’ll design and deliver scalable applications powered by LLMs, working with cutting-edge technologies like RAG pipelines, vector databases, and modern cloud platforms.You’ll collaborate closely with data scientists, engineers, and product teams to turn complex business problems into production-ready AI systems. From experimentation to deployment, you’ll own the full lifecycle.ResponsibilitiesDesign and implement LLM-based applications using modern GenAI frameworksBuild and optimize RAG pipelines, including advanced retrieval techniquesDevelop and maintain prompt engineering strategies and reusable templatesIntegrate AI solutions with enterprise systems via APIs and orchestration toolsWork with vector databases to enable efficient semantic search and retrievalDeploy AI models into production and ensure scalability and reliabilityCollaborate with cross-functional teams to deliver high-impact solutionsEvaluate model performance and implement guardrails for safety and qualityRequirements6+ years of experience in software development, AI, or data-related rolesStrong knowledge of Machine Learning, NLP, and LLMsHands-on experience with RAG pipelinesSolid Python experience with libraries such as: Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, Transformers, FastAPIExperience with LLM ecosystems (OpenAI, Gemini, Claude, LLaMA, etc.)Familiarity with LangChain, LlamaIndex, or similar toolsExperience working with vector databases (e.g., Pinecone, PGVector, Mongo Atlas)Understanding of MLOps and CI/CD pipelinesExperience deploying models into production environmentsStrong problem-solving and communication skillsNice to haveExperience with agent-based frameworksKnowledge of GenAI guardrails and evaluation techniquesExperience with cloud platforms (GCP, AWS, Azure)Hands-on experience with Kubernetes / OpenShiftBackground in handling large-scale unstructured data