We are looking for someone to join our company and push the frontiers of enterprise AI further.
This is not going to be just another software engineering job. We will need you to be flexible with your job scope, which includes nurturing younger software developers, strategising together with the management on the product and go-to-market, maintaining the coding standards, and then some.
As we are pushing the frontiers, the direction and execution clarity are often vague, iterative, and less structured. If you thrive in a place where autonomy given is high, and are able to translate broad visions to concrete steps, this is for you.
About Pints AIPints AI is a multi-award-winning AI company based in Singapore, known for deploying on-premise, privacy-preserving AI systems in some of Asia’s most regulated industries - including banks, insurers, and government entities.
Won AI in Finance Global Challenge (2023) at SFF in SingaporeBuilt the 1.5 Pints open-source model - a compact LLM outperforming Apple’s OpenELM and Microsoft’s Phi-1.5Developed Autothought, our AI reporting engine, now used to replace business analysts in regulated verticalsEngineered SentientRAG, a low-hallucination RAG framework optimized for compliance-heavy data
Company perksCompany insuranceWell-stocked pantryTravel opportunities for client visits, with travel allowanceFree flu jabs and annual medical checkups
Broad ResponsibilitiesWriting clean, high-quality, high-performance, maintainable codeManage stakeholders and communicate with clientsLead a team
Specific Responsibilities (What You’ll Do)1. Prototype Real-World AI Use CasesApply Autothought to solve problems in claims, compliance, risk, onboarding, and moreDeploy domain-tuned RAG, fine-tuned models, and secure NLP pipelines
2. Full-Stack Software EngineeringOwn the development of AI-powered internal tools (React + Express)Ship fast in feedback loops while balancing reliability and privacyWork within a secure, tightly monitored infrastructure
3. Client CollaborationSit alongside business, compliance, and tech teams inside the clientShape requirements, validate assumptions, and ship iteratively
4. Cross-Pollinate with Pints AI’s R&DStay plugged into our research team’s work on LLM orchestration, embeddings, and compressionContribute to internal tools and open-source libraries when off client delivery cyclesLevel up fast through mentorship, feedback, and hands-on deployments
QualificationsBachelor's degree in Computer Science (or related field)5+ years of relevant work experience
Skills & Traits We’re Looking ForExperience with Agile or Scrum software development methodologiesAbility to multi-task, organize, and prioritize workSolid TypeScript/JS and Python experienceReact, Node/Express, REST APIsGit, Docker, Linux familiarityUnderstanding of embeddings, vector stores, LangChain/LlamaIndexSelf-starter mindset - comfortable moving in ambiguityExposure to RAG or LLM-driven tools is a bonus
We are looking for a curious, NLP researcher to join our company and push the frontiers of enterprise AI further.
This is not going to be just another research role. We will need you to be flexible with your job scope, which includes working closely with our engineers to bring research into production, contributing to product and research direction alongside management, raising the research bar across the team, and then some.
As we are pushing the frontiers, the direction and execution clarity are often vague, iterative, and less structured. If you thrive in a place where autonomy given is high, and are able to translate broad visions to concrete steps, this is for you.
About Pints AIPints AI is a multi-award-winning AI company based in Singapore, known for deploying on-premise, privacy-preserving AI systems in some of Asia’s most regulated industries - including banks, insurers, and government entities.
Won AI in Finance Global Challenge (2023) at SFF in SingaporeBuilt the 1.5 Pints open-source model - a compact LLM outperforming Apple’s OpenELM and Microsoft’s Phi-1.5Developed Autothought, our AI reporting engine, now used to replace business analysts in regulated verticalsEngineered SentientRAG, a low-hallucination RAG framework optimized for compliance-heavy data
ResponsibilitiesResearch and design NLP experimentsBuild evaluation suites that measure model reliability and groundedness on regulated, high-stakes dataWork alongside engineers to bring NLP research into production-grade pipelinesWrite papers
QualificationsPhD in related fields
Skills & Traits We're Looking ForAbility to multi-task, organize, and prioritize workStrong paper writing skillsExperience with RAG pipelines, vector stores, or LLM orchestration frameworks (LangChain, LlamaIndex)Solid understanding of embeddings, tokenisation, attention mechanisms, and fine-tuning workflowsSelf-starter mindset - comfortable moving in ambiguity
What You’ll Do1. NLP Research for Regulated DomainsDesign and run experiments on LLM behaviour in compliance, claims, risk, onboarding and moreDeploy domain-tuned RAG, fine-tuned models, and secure NLP pipelinesWrite and publish papers to reputable conferences or journals
2. Evaluation & BenchmarkingBuild internal evaluation suites to measure model accuracy, groundedness, and robustnessDefine metrics that matter in regulated settingsRun systematic ablations and report findings clearly to both technical and non-technical stakeholders
3. Client CollaborationSit alongside business, compliance, and tech teams inside the clientShape requirements, validate assumptions, and ship iteratively
4. Stay Connected with Pints AI's Engineering TeamShare research findings and prototypes with engineers for productionisationContribute to internal tools and open-source libraries between client delivery cycles
We are looking for a curious, NLP research intern to join our company and push the frontiers of enterprise AI further.
This is not going to be just another research role. We will need you to be flexible with your job scope, which includes working closely with our engineers to bring research into production, contributing to product and research direction alongside management, raising the research bar across the team, and then some.
As we are pushing the frontiers, the direction and execution clarity are often vague, iterative, and less structured. If you thrive in a place where autonomy given is high, and are able to translate broad visions to concrete steps, this is for you.
About Pints AIPints AI is a multi-award-winning AI company based in Singapore, known for deploying on-premise, privacy-preserving AI systems in some of Asia’s most regulated industries - including banks, insurers, and government entities.
Won AI in Finance Global Challenge (2023) at SFF in SingaporeBuilt the 1.5 Pints open-source model - a compact LLM outperforming Apple’s OpenELM and Microsoft’s Phi-1.5Developed Autothought, our AI reporting engine, now used to replace business analysts in regulated verticalsEngineered SentientRAG, a low-hallucination RAG framework optimized for compliance-heavy data
ResponsibilitiesResearch and design NLP experimentsBuild evaluation suites that measure model reliability and groundedness on regulated, high-stakes dataWork alongside engineers to bring NLP research into production-grade pipelinesWrite papers
QualificationsPhD student
Skills & Traits We're Looking ForAbility to multi-task, organize, and prioritize workStrong paper writing skillsSolid Python experienceExperience with RAG pipelines, vector stores, or LLM orchestration frameworks (LangChain, LlamaIndex)Solid understanding of embeddings, tokenisation, attention mechanisms, and fine-tuning workflowsGit, Docker, Linux familiaritySelf-starter mindset - comfortable moving in ambiguity
What You’ll Do1. NLP Research for Regulated DomainsDesign and run experiments on LLM behaviour in compliance, claims, risk, onboarding and moreDeploy domain-tuned RAG, fine-tuned models, and secure NLP pipelinesWrite and publish papers to reputable conferences or journals
2. Evaluation & BenchmarkingBuild internal evaluation suites to measure model accuracy, groundedness, and robustnessDefine metrics that matter in regulated settingsRun systematic ablations and report findings clearly to both technical and non-technical stakeholders
3. Client CollaborationSit alongside business, compliance, and tech teams inside the clientShape requirements, validate assumptions, and ship iteratively
4. Stay Connected with Pints AI's Engineering TeamShare research findings and prototypes with engineers for productionisationContribute to internal tools and open-source libraries between client delivery cycles
