AI Engineer

Tristone Strategic Partners LLP; Hinoba-an; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

Tristone Strategic Partners LLP, a financial services firm based in Mumbai, is embedding agentic AI into its workflows. As a member of the AgenticAI engineering team, you'll help build agents, MCP servers, and evaluation loops that enable reliable, auditable AI-generated code.

You will work with Claude ecosystem (Cowork, Claude Code, Connectors, Skills, Plugins) and other platforms, own deployment, testing, hosting, and monitoring in production, and collaborate across the firm to automate

Qualifications

• Bachelor’s or Master’s degree in computer engineering, Computer Science, or AI/ML related field.
• 1+ years of relevant experience in AI/ML engineering, software development, or applied AI projects.
• Demonstrated ability to use AI tools (including Claude) to build, deploy, and improve efficiency, quality or speed.
• Self-built AI projects or agents showcasing workflow-specific use cases, especially with Claude (Cowork, ClaudeCode, Connectors, Skills, Plugins).
• Prompt engineering skills: structure prompts, refine outputs, adapt instructions across models.

Responsibilities

• Design, build, and deploy AI-powered tools, agents, and workflow automations for use across the firm.
• Work hands-on with the Claude ecosystem - Cowork, Claude Code, Connectors, Skills, and Plugins, alongside other AI platforms.
• Own the end-to-end deployment lifecycle for AI tools and agents, including packaging, testing, hosting, and monitoring in production.
• Collaborate with teams across the firm to identify opportunities to automate repetitive or manual processes using AI and workflow orchestration tools.
• Review and validate AI-generated outputs to ensure accuracy, completeness, and reliability before they reach internal or client-facing use.
• Staying current on evolving AI capabilities and evaluating new tools and platforms for potential adoption.
• Document technical approaches clearly and communicating outcomes to both technical and non-technical stakeholders.
• Exercising sound judgement across AI workflows: data handling, approved endpoints, confidentiality.

Skills

AI Tools

Agentic Workflows

Projects

Prompt Engineering

Build & Deploy

Python

API Calls

SQL

React

Communication

Education

Bachelor’s or Master’s degree in CS/Engineering

Tools

Docker

Claude Code

ChatGPT Codex

Copilot

MCP servers

Job description

About Tristone Strategic Partners LLP- Tristone Strategic Partners is a financial services firm based inMumbai that provides investments and accounting-related support services and advisory services tointernational clients such as various investment funds, hedge funds, wealth management firms,start-ups & corporates located across different geographies.

About the role-

Tristone is embedding agentic AI directly into its workflows and systems. As a member of the AgenticAI engineering team, you'll help build agents, MCP servers, and evaluation loops that make AIgenerated code reliable, auditable, and fast to ship. You'll work closely with senior members ofTristone to deliver pragmatic, high-impact AI integrations at scale.

Key Responsibilities-

• Designing, building, and deploying AI-powered tools, agents, and workflow automations foruse across the firm.
  
• Working hands-on with the Claude ecosystem - Cowork, Claude Code, Connectors, Skills, andPlugins - alongside other AI platforms (ChatGPT, Gemini, and others).
  
• Owning the end-to-end deployment lifecycle for AI tools and agents, including packaging,testing, hosting, and monitoring in production.
  
• Collaborating with teams across the firm to identify opportunities to automate repetitive ormanual processes using AI and workflow orchestration tools.
  
• Reviewing and validating AI-generated outputs to ensure accuracy, completeness, and reliability before they reach internal or client-facing use.
  
• Staying current on evolving AI capabilities and evaluating new tools and platforms for potentialadoption.
  
• Documenting technical approaches clearly and communicating outcomes to both technicaland non-technical stakeholders.
  
• Exercising sound judgement across AI workflows: assessing which client and fund data may besent to which model, working exclusively through approved endpoints and enterprise tooling,and upholding the confidentiality obligations expected in a financial services environment.
  
• Complying with IT policies and procedures.
  
• Maintaining the security of information at all times.
  

Requirements

• AI Tools & LLMs - Hands-on experience using platforms such as Claude, ChatGPT, Gemini, orCopilot, with the prompt-engineering skill to get consistent, high-quality outputs acrossmodels.
  
• Agents and MCP - Hands-on experience building agentic workflows and integrating externaltools through MCP servers or equivalent tool-use frameworks. Alongside this, a systematicapproach to validating model output: maintained eval sets, regression checks before release,and structured human review loops, rather than ad-hoc spot checking.
  
• Demonstrated Projects - Self-built AI projects or agents you can showcase, covering bothstandard and custom workflow-specific use cases. Projects built with Claude (Cowork, ClaudeCode, Connectors, Skills, Plugins) are particularly valued.
  
• Prompt Engineering - Ability to structure prompts effectively - framing tasks clearly, refiningoutputs, and adapting instructions to get consistent, high-quality results across different AImodels.
  
• Build & Deploy - Experience taking an AI tool or agent from build to production; packaging(Docker), hosting, and monitoring in a real environment.
  
• Technical Skills - Python for scripting, API calls, and data pre-processing; SQL for queryingstructured data; React for simple internal dashboards; AI coding tools such as Claude Code orChatGPT Codex.
  
• Communication & Collaboration - Good communication skills, with the ability to workeffectively across teams and explain technical work clearly to non-technical stakeholders
  

Qualification-

• Bachelor’s or Master’s degree in computer engineering, Computer Science, or any otherrelevant specialization (e.g., AI/ML, Data Science, IT).
  

Experience-

• 1+ years of relevant experience in AI/ML engineering, software development, or applied AIprojects.
  
• You should be able to clearly demonstrate how you have used AI tools - including Claude - tobuild, deploy, and improve efficiency, quality, or speed in a professional context.