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 recent 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.

What you'll bring to the role:

- 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.

Brokerage is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.

📌 Senior AI Developer - Morgan Stanley (Maharashtra)
🏢 Brokerage
📍 Maharashtra