Posted 28 August, 2026
Senior AI Developer - Morgan Stanley
Euclid Innovations
Maharashtra,India
Full Time
Reference: 365_679030_26-00501
Responsibilities:
- Build systems using LLMs and multimodal models, retrieval and vector databases, and orchestration frameworks (e.g., LangChain/LangGraph, MCP), integrated with internal tools and data.
- Own the full lifecycle: discovery, prototyping, validation, deployment, monitoring, iteration, and support.
- Track new model releases, vendor updates, and emerging patterns in agentic AI.
- Run targeted experiments with new capabilities and share timely recommendations that influence roadmaps and standards.
- Implement solutions for environment configuration (Dev/QA/Prod) and, build processes while documenting efforts and experiences with a focus on educating others to ensure reliability and ongoing supportability of the platform.
- Write production-quality code and integrate APIs across internal platforms and external providers (e.g., Google, OpenAI, Databricks, AWS, Microsoft).
- Make pragmatic architectural decisions balancing speed, scale, security, reliability, and cost.
- Build reusable components, templates, and playbooks that accelerate future development and reduce friction for downstream teams.
- Participate in technology evaluations and play an active role in ongoing strategy based on technology trends, best practices and industry standards.
- Bachelor's degree in computer science, or a related field, or equivalent experience
- 6+ years of hands-on development experience in Python and LLMs such as OpenAI, ChatGPT, Claude, and/or Copilot.
- Evaluate model capabilities and select appropriate AI tools based on workflow needs, risk profile, and operational constraints.
- Design guardrails for agentic systems, including tool safety, security controls, data handling, and human-in-the-loop review as needed.
- Partner with Standards, Legal, Security, and GRC to ensure compliant data use, responsible deployment, and audit-ready practices.
- Establish monitoring and incident response patterns to detect issues and maintain trust and reliability at scale.
- Basic Linux and Windows command-line knowledge.
- Experience with DevOps practices and CI/CD technologies including Jenkins, Stash, GitHub, Git, Jira (or equivalents).
- Experience with Kubernetes (EKS/AKS/GKE/OpenShift) in a clustered environment.
- Track record of having worked on, and been involved in, the deployment and management of infrastructure at scale.
- Able to troubleshoot, problem solve and be an analytical thinker.
- Strong interpersonal, written, and verbal engagement skills ensuring an ability to communicate at all levels across multiple project aspects.
- Focus on good time-management, task prioritization and an ability to meet agreed upon deadlines.
- Confidence in your skills, a self-starter and a team player possessed with a high level of commitment and enthusiasm.
- Familiarity with, or experience working in, an Agile environment leveraging Kanban or Scrum.
- Thorough understanding of security architecture principles, design, and engineering best practices.
