Website:
trustplus.ai
Job details:
Position: AI Engineer
Location: Indonesia, India, Vietnam (Remote)
About Us:
“The Future of Finance, Powered by AI” We are embarking on an exciting journey at Trustplus AI Pte. Ltd. (“TrustPlus AI“), a dynamic tech startup poised to revolutionize the credit assessment process for financial institutions through AI. We are currently seeking a visionary individual to join our engineering team, playing a pivotal role in shaping our technology landscape and driving the development of our product expansion.
Our Product and Vision:
Current credit assessment processes are predominantly manual, leading to challenges such as quality control issues, inefficient processes, and increased costs in managing these workflows. At TrustPlus AI, we are on a mission to address these challenges by developing a solution powered by AI. Our goal is to drive productivity and enhancement of quality for overall credit assessment processes for financial institutions and payments companies.
Expansion Plans:
We are supporting the global largest payment companies for commercial underwriting workflows. But that is not where our journey ends. We have a bold vision to expand our product offerings beyond credit and risk management. Our roadmap includes venturing into compliance, legal, operations, and other critical areas within the financial ecosystem. As a member of our exciting journey, you will play a crucial role in realising this vision and steering our technological advancements.
Role Overview:
We are looking for a seasoned AI Engineer with deep specialisation in Large Language Models (LLMs), agentic systems, and production AI application development. This is a high-ownership, senior individual contributor role - you will own the AI stack end-to-end, from RAG pipeline architecture through to deployment and ongoing evaluation. You will work directly with the founding team to shape our core product and establish the engineering culture for AI development at TrustPlus AI.
If you have a strong track record shipping production LLM applications, a bias for building over theorising, and a passion for applying AI in regulated financial services environments, we want to hear from you - regardless of location.
Responsibilities:
AI System Design and Delivery
- Own the design, development, and deployment of AI-powered workflow applications for credit risk and financial document processing.
- Architect and implement production-grade RAG pipelines, including document ingestion, chunking strategy, embedding, retrieval, and re-ranking.
- Build and orchestrate multi-agent systems using frameworks such as LangChain, LlamaIndex, or custom implementations with MCP (Model Context Protocol).
- Evaluate and select appropriate frontier model providers (Anthropic Claude, OpenAI, Gemini) and open-weight alternatives for each use case, with particular attention to compliance and data governance requirements.
Production Quality and Reliability
- Design and maintain LLM evaluation frameworks - including automated evals, prompt regression tests, and human review loops - to ensure consistent output quality across model updates.
- Implement model observability and monitoring using LLMOps tooling (e.g. LangSmith, Langfuse, or equivalent) to track performance, cost, and failure modes in production.
- Build guardrails and output validation layers appropriate for a regulated fintech context, including structured output enforcement and hallucination detection.
- Own CI/CD for AI components; containerise and deploy services on Azure Container Apps (ACA), maintaining scalability and reliability under variable load.
Research and Continuous Improvement
- Drive applied research and prototyping of emerging AI techniques (agentic RAG, tool-calling, long-context reasoning) and translate promising approaches into production features.
- Establish best practices for prompt engineering, context window management, and cost-optimised LLM usage across the team.
- Stay current with the latest developments in AI, NLP, and financial AI regulation; bring relevant insights back to the team proactively.
Collaboration and Leadership
- Work closely with product, QA, and frontend engineers to integrate AI capabilities into the broader platform.
- Lead technical discussions, architecture reviews, and code reviews for AI-related components.
- Contribute to building a rigorous, quality-first engineering culture as an early and senior member of the team.
Qualifications:
Required:
- Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field - or equivalent demonstrated experience.
- 3+ years of software engineering experience, with at least 1-2 years building and operating production LLM applications or AI-powered products.
- Proficiency in Python; strong command of software engineering fundamentals (testing, version control, code review, API design).
- Hands-on experience with LLM orchestration frameworks: LangChain, LlamaIndex, or similar.
- Practical experience with vector databases: Pinecone, Qdrant, pgvector, Weaviate, or similar.
- Experience designing and running LLM evaluations - including automated evals, benchmarking, and prompt regression testing.
- Familiarity with cloud deployment: Docker, containerisation, and at least one major cloud provider (Azure/AWS preferred).
- Demonstrated ability to ship AI features to production, not just prototype.
- Fluent in English; additional languages (Bahasa Indonesia, Vietnamese, Hindi, etc.) are a plus.
Nice to Have:
- Experience with agentic AI patterns: tool-calling, multi-agent orchestration, agent memory management, and MCP.
- Familiarity with LLMOps tooling (LangSmith, Langfuse, Braintrust, or equivalent).
- Background in fintech, financial document processing, or regulated industry AI deployment.
- Experience with AI output validation, guardrails frameworks, or responsible AI practices in production.
- Proficient with AI-assisted development tools (Cursor, Claude Code, GitHub Copilot) for accelerating prototyping and delivery.
- Knowledge of FastAPI or similar frameworks for serving AI microservices.
Compensation and Benefits:
We offer a competitive compensation package commensurate with experience and location, including:
- Base salary in line with local market rates.
- Equity (stock options) with a 3-year vesting schedule (shorter than standard a 4-5 year), reflecting the pivotal role early team members play in our growth.
- Remote-first working arrangement with flexible hours and autonomy over how you work.
- Direct access to the founding team and genuine influence over product direction and technical architecture.
- A front-row seat at the intersection of AI and global financial services - a rare opportunity to build something that changes how credit decisions get made at scale.
TrustPlus AI is an equal opportunity employer. We value diverse teams and welcome applicants from all backgrounds and locations across Vietnam, In
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