Senior Manager - C2

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.