Senior Manager - C2

Job description

Job Description: Key Responsibilities - Design, develop, and deploy Generative AI applications using state-of-the-art LLMs. - Build and optimize RAG pipelines leveraging vector databases and enterprise knowledge sources. - Develop prompt engineering strategies and evaluate model performance. - Fine-tune, customize, and optimize foundation models for domain-specific use cases. - Integrate AI solutions with cloud platforms and enterprise systems through APIs and microservices. - Implement AI observability, monitoring, and evaluation frameworks. - Develop scalable and production-ready AI applications following MLOps best practices. - Conduct experimentation and benchmarking of LLMs, embeddings, and retrieval techniques. - Collaborate with cross-functional teams to gather requirements and translate business problems into AI solutions. - Stay updated on advancements in Generative AI, LLMs, agents, and multimodal AI technologies. Responsibilities: Key Responsibilities - Design, develop, and deploy Generative AI applications using state-of-the-art LLMs. - Build and optimize RAG pipelines leveraging vector databases and enterprise knowledge sources. - Develop prompt engineering strategies and evaluate model performance. - Fine-tune, customize, and optimize foundation models for domain-specific use cases. - Integrate AI solutions with cloud platforms and enterprise systems through APIs and microservices. - Implement AI observability, monitoring, and evaluation frameworks. - Develop scalable and production-ready AI applications following MLOps best practices. - Conduct experimentation and benchmarking of LLMs, embeddings, and retrieval techniques. - Collaborate with cross-functional teams to gather requirements and translate business problems into AI solutions. - Stay updated on advancements in Generative AI, LLMs, agents, and multimodal AI technologies. - Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - 6-9 years of experience in Software Engineering, Machine Learning, NLP, or AI development. - Strong proficiency in Python and software engineering best practices. - Experience with Generative AI frameworks such as: - LangChain - LlamaIndex - LangGraph - Semantic Kernel (preferred) - Hands-on experience with LLMs including: - GPT models - Claude - Llama - Gemini - Mistral - Experience building RAG systems using vector databases such as: - Pinecone - FAISS - Chroma - OpenSearch - Weaviate - Familiarity with embedding models and semantic search techniques. - Experience with REST APIs, microservices, and containerization (Docker, Kubernetes). - Strong understanding of software design patterns and system architecture.