Senior Software Engineer (GenAI) - Parametric
Morgan Stanley24 hours ago
Mumbai, IndiaSenior
Responsibilities
- Translate business problems into feasible technical solutions by assessing data availability and GenAI capabilities.
- Own the AI development lifecycle from problem scoping and data assessment through design, implementation, evaluation, deployment, and iteration.
- Design evaluation frameworks with quantitative metrics, A/B and sensitivity testing, regression testing, and continuous quality monitoring.
- Select, adapt, and optimize foundation models using knowledge of ML, NLP, transformers, LLM internals, prompt engineering, RAG, fine-tuning, and agentic workflows.
- Build and maintain platform-level GenAI applications and improve existing AI systems through data-driven iteration.
- Collaborate with business users and engineering teams to gather requirements, scope solutions, and communicate technical trade-offs.
- Review code and designs for generative AI solutions and promote engineering and evaluation best practices.
- Deploy and manage highly available, scalable, and observable AI solutions using AWS.
Requirements
- Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related field.
- 7+ years of required experience, including 5+ years of hands-on Python software design and development.
- Strong conceptual and practical knowledge of ML, NLP, transformers, LLMs, model architectures, training and fine-tuning, evaluation methodologies, and failure modes.
- Experience across the AI development lifecycle, including problem framing, data assessment, model selection, prompt engineering, evaluation design, testing, and deployment.
- Proficiency with LLM APIs and frameworks such as OpenAI, Azure OpenAI, Anthropic, open-source model serving, LangChain, and LlamaIndex.
- Hands-on experience building cloud-based solutions, preferably using AWS.
- Familiarity with PyTorch, TensorFlow, or Hugging Face Transformers.
- Familiarity with microservices architecture, Docker, and REST API design.
- Experience with Git version control and Agile development.
- Knowledge of RAG architectures, vector databases, and retrieval-augmented workflows.
- Preferred qualifications include financial services experience, AWS cloud-native development, Terraform, GitLab CI or GitHub Actions, Datadog, GenAI evaluation and benchmarking frameworks, and presenting technical innovations.
Benefits
- Hybrid work model with three days per week in the office and the remaining days remote or in the office.
- Morgan Stanley offers comprehensive employee benefits and perks supporting employees and their families.
- Equal opportunity employer committed to diversity, inclusion, and employee development.
Tech Stack
Categories
About Morgan Stanley
Morgan Stanley is a global financial services firm that provides investment banking, sales and trading, wealth management, and investment management to corporations, governments, institutions, and individuals. It earns fees, commissions, and interest and trading income across advisory, underwriting, brokerage, and asset management businesses. Founded in 1935 and headquartered in New York, the public company operates in more than 40 countries through thousands of offices, including a large U.S. wealth management franchise.