Senior Software Engineer, Fullstack (LLM Agents) at Kudo

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Science, Data Structures, Algorithms, Multi-threading, Distributed Systems, Relational Databases, Non-relational Databases, LLMs, LangChain, LangGraph, Python, Go, Java, Next.js, Real-time Data Processing, Stakeholder Collaboration, Technical Documentation

Industry

Software Development

Description

Company Description About Grab and Our Workplace Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Job Description Get to Know the Team The Fulfilment Tech Family drives Grab's mission to out-serve customers and partners across Southeast Asia's diverse marketplaces. We build high-throughput, real-time distributed systems powered by advanced machine learning, handling hundreds of millions of requests daily. Our goal? To deliver exceptional products and experiences that boost driver partner engagement, maximize efficiency in fulfilling customer orders—rain or shine—and create thriving marketplaces with optimal pricing loved by both partners and customers. Get to Know the Role We're looking for a Senior Full-stack Engineer to join our dynamic Fulfilment Tech Family. You will create, implement, and scale innovative solutions leveraging advanced AI and machine learning technologies to enhance driver partner experiences and optimize marketplace efficiency. You will report to the Engineering Manager and work onsite at Grab Office. The Critical Tasks You Will Perform Develop AI agents and chatbots using LLMs, LangChain, and LangGraph to enhance driver experiences and solve real-world challenges. Build scalable full-stack solutions, including cloud-based backends and efficient web interfaces. Write high-quality code in modern languages (e.g., Python, Go) and frameworks, ensuring scalability and efficiency. Conduct code/design reviews. Deploy machine learning pipelines and integrate AI agents with fulfilment systems. Collaborate with cross-functional teams to implement features and assess business impact. Ensure smooth mobile integration. Design and manage infrastructure with Terraform and cloud platforms like AWS/Azure. Participate in on-call rotations, perform root cause analysis, and contribute to post-mortems. Work in a regional setup, collaborating across teams and cultures. Qualifications What Essential Skills You Will Need Strong foundation in computer science: data structures, algorithms, multi-threading, distributed systems, relational/non-relational databases. Expertise in LLMs, LangChain, LangGraph for conversational AI development. Proficient in backend languages (e.g., Go, Python, Java) with focus on Go and Python. Experience with modern frontend frameworks (e.g., Next.js), SSR concepts (SSR/SSG), and protocols (WebSocket, Streamable HTTP, gRPC). 5+ years of cloud platform experience (AWS/Azure) and scalable backend deployment. Advocate for shift-left testing with unit, integration, and automated testing. 5+ years in real-time data processing with Flink/Kafka or similar tools. Experienced in stakeholder collaboration across teams/regions. Strong problem-solving and system design skills for scalability and stability. Proficient in creating concise technical documentation for cross-team collaboration. Additional Information Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: We have your back with Term Life Insurance and comprehensive Medical Insurance. With GrabFlex, create a benefits package that suits your needs and aspirations. Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges. Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours What We Stand For at Grab We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

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Responsibilities

Develop AI agents and chatbots using LLMs and related technologies to enhance driver experiences. Build scalable full-stack solutions and collaborate with cross-functional teams to implement features and assess business impact.