Junior AI Engineer
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About the Role
Location: Singapore (Hybrid)
About TSC:
The Stakeholder Company (TSC) is a global artificial intelligence (AI) firm at the forefront of AI-native stakeholder relationship management. Our flagship solution, Genie, delivers comprehensive and in-depth situational awareness through advanced open-source monitoring, seamlessly complementing existing stakeholder monitoring and engagement workflows. Genie leverages a sophisticated AI ecosystem to intelligently filter online news sources, extracting events relevant to the millions of stakeholders it tracks. We proudly serve Fortune 500 companies and leading NGOs worldwide, operating in over 95 countries and across 20+ industries.
Shape the Future of Stakeholder Intelligence:
Join our team building cutting-edge AI solutions that help organizations understand and navigate complex stakeholder landscapes. We work closely with clients from critical domains such as Public Affairs, Business Affairs, Business Intelligence, and Risk, providing them with the intelligence to navigate these complex environments.
We're looking for a driven Junior AI Engineer to grow with us while creating technology that delivers real-world impact in Stakeholder Intelligence and Issue/Opportunity Monitoring.
What You'll Do (The Spectrum of Impact):
- Build & Support Pipelines: Develop intelligent pipelines that transform stakeholder noise into actionable insights.
- AI-Accelerated, Expert-Reviewed Engineering: Leverage coding agents (Cursor, Claude Code, etc.), custom agents, rules and guardrails to catalyze our SDLC (software development lifecycle). Strictly “expert-in-the-loop” mentality - NO Vibe-coding.
- Agentic Workflows: Assist in designing and deploying multi-agent systems that autonomously research and monitor complex stakeholder environments.
- Explore the Bleeding Edge: Demonstrate a relentless curiosity for the newest developments in AI, showing an openness to exploring experimental and emerging tools (e.g., OpenClaw ) to evaluate their potential for our stack.
- Model Development: Develop and optimize ML models that predict stakeholder behavior, increasingly leveraging LLMs for deep contextual insights.
- Full-Stack Mentality: Take ownership of projects from "what if" to measurable Value. You will be involved across the product, from optimizing data/RAG pipelines to refining agent reasoning logic.
Global Collaboration (Sync vs. Async)
- Collaboration Stack: We are heavy users of Slack, JIRA, and Confluence. You will manage your tasks transparently to support global visibility.
- Synchronous Flow: Core overlapping hours are dedicated to mentorship, code reviews, business requirements alignment and architectural syncs.
- Asynchronous Power: We value documentation and clear ticketing so you can maintain deep-focus time and move the mission forward independently.
Technical Foundation & Background:
- The Profile: Bachelor’s degree in Computer Science, Mathematics, or a related technical field.
- The "Proof of Work" Exception: If you don't have the degree but have a GitHub, a portfolio of shipped projects, or specific accomplishments that demonstrate equivalent technical competence - we want to see it.
- The Stack: Python, ML fundamentals, and familiarity with LLM orchestration (LangChain, LangGraph).
- Prompt engineering methodologies.
- (plus) API integration and data processing experience.
- (plus) Cloud platform familiarity and collaborative development practices (GCP/AWS).
- Communication: Sharp English skills for global teamwork.
Why This Role is Different:
- No Silos: You won't just be "cranking widgets". You will have direct exposure and influence on product strategy and AI architecture, working alongside senior leadership.
- Hybrid Flexibility: We trust you to manage your time between home and our Singapore hub. We value output and ownership over "desk time".
- Equity & Growth: We are looking for early pillars of the engineering team, not just "resource #402." You’ll get fair remuneration, equity, and a high-speed mentorship environment designed to accelerate your career.
- Global Impact: You’ll be part of an international team, building intelligence systems that solve high-stakes problems for global clients from day one.
Ready to build the future of stakeholder intelligence? ️
Things you should expect from TSC:
- We strive to be the best place you will ever work for.
- Fast-track learning through exposure to various roles across the organisation;
- Direct access, respect, and mentoring from the leadership with an interest in your development.
- Hybrid Work
- Time off: 20 days per year
- International opportunity to expose and grow
- Other benefits to be shared in the interview
Team Culture - How do you find yourself fitting in our team?
- Intellectual curiosity for the world around you, technology, and our clients' needs
- Solid general knowledge and skills in your core area
- Excellent problem-solving capabilities and adaptability
- Enthusiasm for finding elegant, pragmatic solutions
- Team player – we’re a small, close-knit team and excellence is expected, as is the capability to take on and own big challenges, solving conventional challenges in unconventional ways, all without losing your sense of humour and fun
Hiring Process:
- 1st round: Hire Manager Interview - Video (25 minutes)
- 2nd round: Take-home assignment (1 Week turnaround)
- 3rd round: Technical In-Person Interview (45 mins) + Team Fit Interview (20 mins)
- Final Interview: CEO + HR (1h)
We are committed to equal opportunities across cultures, backgrounds, experiences, perspectives, and opinions. We welcome applications from everyone.
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