Senior AI Developer

Job Description: Senior AI Developer Client: Morgan Stanley Location: Bangalore, IndiaRole: Senior AI Developer Experience: 8-12 Years Key Responsibilities •    Design, develop, and deploy scalable AI/ML and Generative AI applications. •    Build enterprise-grade solutions leveraging LLMs such as GPT, Claude, Llama, and other foundation models. •    Develop and optimize RAG architectures using vector databases and enterprise knowledge sources. •    Design and implement AI agents and workflow automation solutions. •    Integrate AI capabilities into existing applications and business processes. •    Build APIs and microservices for AI model consumption and inferencing. •    Develop prompt engineering strategies and evaluate model performance. •    Fine-tune and optimize foundation models where required. •    Ensure AI solutions comply with security, governance, privacy, and regulatory requirements. •    Collaborate with product owners, business analysts, architects, and data engineers. •    Participate in architecture reviews, code reviews, and technical design discussions. •    Mentor junior engineers and contribute to AI best practices across the organization. •    Stay current with emerging AI technologies and industry trends. Required Technical Skills AI / Machine Learning •    Strong experience in Machine Learning, Deep Learning, and NLP. •    Hands-on experience with Generative AI and Large Language Models. •    Experience implementing RAG solutions. •    Knowledge of Agentic AI frameworks and autonomous workflows. •    Prompt Engineering expertise. •    Model evaluation, observability, and monitoring. Programming •    Strong proficiency in Python. •    Experience with Java/Spring Boot is preferred. •    Experience developing REST APIs and microservices. AI Frameworks & Tools •    LangChain •    LangGraph •    LlamaIndex •    Hugging Face •    OpenAI / Azure OpenAI •    Vector databases (Pinecone, Weaviate, ChromaDB, Azure AI Search) Data & Engineering •    SQL and NoSQL databases •    Data pipelines and ETL processes •    Apache Kafka or event-driven architectures •    CI/CD pipelines and DevOps practices Cloud Platforms •    Azure (preferred) •    AWS or GCP •    Kubernetes and Docker Required Qualifications •    Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related discipline. •    8+ years of software development experience. •    3+ years of hands-on AI/ML or Generative AI development experience. •    Experience delivering production-grade AI solutions at enterprise scale. •    Strong understanding of software engineering best practices, design patterns, and system architecture. •    Experience working in Agile/Scrum environments. Preferred Qualifications •    Experience in Banking, Financial Services, or Capital Markets. •    Knowledge of Responsible AI principles and AI governance frameworks. •    Experience building Copilot-style assistants and conversational AI platforms. •    Azure AI Engineer, AWS ML, or equivalent certifications. •    Knowledge of MLOps and model lifecycle management. Soft Skills •    Strong analytical and problem-solving skills. •    Excellent communication and stakeholder management abilities. •    Ability to work effectively within globally distributed teams. •    Self-driven with a passion for innovation and continuous learning. •    Proven mentoring and technical leadership capabilities.