Senior GenAI Application Engineer | Tangspac Consulting | Singapore

Tangspac Consulting Group; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Tangspac Consulting is seeking an experienced Senior GenAI Application Engineer to lead production‑grade AI platforms for a leading banking client in Singapore. You will own LLM orchestration, RAG architectures, and agentic workflows, delivering secure, scalable AI solutions with Python/Java in a tightly governed environment.

Responsibilities include building end‑to‑end AI applications, integrating with enterprise systems, ensuring observability, and mentoring teams.

Qualifications

• Bachelor’s or Master’s degree in a related technical field.
• 6+ years of progressive software engineering with GenAI production work.
• Hands-on experience with LangGraph, LangChain, and RAG architectures.

Responsibilities

• Design, develop, test, and maintain production‑grade GenAI apps.
• Architect RAG systems, agentic workflows, and dynamic tool calling.
• Build multi‑agent LLM orchestration and K8s‑based deployments.
• Write robust backend code in Python/Java and integrate APIs.
• Collaborate with risk, data science, and software teams in Agile sprints.
• Document architectures, pipelines, and runbooks for operations.
• Ensure on‑site Singapore presence and compliance with SLAs.

Skills

GenAI engineering

LangGraph

LangChain

RAG architectures

Agentic workflows

Python

Java

APIs integration

Kubernetes

Debugging & troubleshooting

Education

Bachelor's or Master's in CS/AI/SE

Tools

Kubernetes

LangSmith

Arize

Pinecone

Milvus

Qdrant

Terraform

GitHub Actions

Job description

Position Summary

Tangspac Consulting is actively seeking an experienced, high-caliber, and technical Senior GenAI Application Engineer with 6+ years of software engineering experience and hands‑on production-grade generative AI application development to join our leading banking client in Singapore on a full‑time permanent on‑site basis. In this critical artificial intelligence and software architecture role, you will be responsible for designing, building, securing, and scaling robust enterprise AI solutions, agentic workflows, and retrieval‑augmented generation (RAG) systems. You will leverage your deep specialist expertise in LangGraph, LangChain, Python/Java, and large language model (LLM) integration to deliver uncompromised system reliability, high predictive accuracy, and operational excellence. This opportunity offers competitive compensation, executive technical visibility, and exceptional career growth prospects within a premier global banking and financial technology enterprise.

Detailed Job Description

As a Senior GenAI Application Engineer supporting Tangspac Consulting for a leading banking client in Singapore, you will take full operational, tactical, and technical ownership of enterprise generative AI platforms, intelligent automation workflows, LLM orchestration, and cloud‑native integration across mission‑critical financial systems. Your day‑to‑day responsibilities include designing, developing, testing, and maintaining production‑grade generative AI applications utilizing LangGraph, LangChain, and advanced LLM integration frameworks, building sophisticated retrieval‑augmented generation (RAG) architectures, agentic workflows, tool calling mechanisms, and autonomous reasoning pipelines, authoring robust, high‑performance backend code in Python and Java for secure enterprise banking environments, integrating APIs, enterprise service buses, observability suites, and container platforms such as Kubernetes into scalable AI architectures, collaborating closely with cross‑functional software engineering, data science, risk management, and executive stakeholder squads in Agile sprint cycles, conducting rigorous model evaluation, performance profiling, debugging, and code reviews across distributed financial datasets, preparing comprehensive technical documentation of AI system architectures, model pipelines, and operational runbooks, and managing application requirements by sending your updated CV via direct email to Shashank Dohrey at [e-mail] or via LinkedIn direct message. You will utilize your proactive troubleshooting and analytical problem‑solving skills to resolve complex algorithmic bottlenecks, latency issues, and security anomalies under strict service level agreements. Furthermore, you will manage application requirements ensuring strict compliance with the 6+ years software engineering experience requirement and Singapore on‑site presence.

Key Responsibilities

• Design, develop, test, optimize, and maintain production‑grade generative AI applications and intelligent enterprise solutions.
• Architect and implement advanced retrieval‑augmented generation (RAG) systems, agentic workflows, and dynamic tool calling mechanisms.
• Build and optimize multi‑agent frameworks and LLM orchestration pipelines utilizing LangChain and LangGraph.
• Author robust, high‑performance backend code, microservices, and API integrations utilizing Python and Java.
• Integrate AI applications with enterprise systems, telemetry monitoring tools, observability suites, and Kubernetes container platforms.
• Conduct rigorous algorithmic optimization, performance profiling, debugging, and code reviews across engineering squads.
• Collaborate seamlessly with cross‑functional banking operations, data science, risk compliance, and software engineering teams.
• Maintain accurate, comprehensive technical documentation of AI system designs, API schemas, and operational runbooks.

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.
• Minimum of 6+ years of progressive professional software engineering experience with hands‑on production‑grade GenAI application development.
• Strong, demonstrable hands‑on professional expertise in LangGraph, LangChain, RAG architectures, and agentic workflows.
• Comprehensive working knowledge and practical proficiency in tool calling, LLM integration, and prompt engineering best practices.
• Deep practical experience programming in Python and/or Java for scalable enterprise software applications.
• Solid practical experience working with APIs, enterprise software integration, distributed systems, and container platforms (Kubernetes).
• Exceptional analytical, troubleshooting debugging, and problem‑solving capabilities under high‑pressure conditions.
• Mandatory legal work eligibility and physical availability for full‑time on‑site professional operations in Singapore.

Nice‑to‑Have Skills

• Professional certifications such as AWS Certified Machine Learning Specialty, Google Cloud Professional ML Engineer, or Certified Kubernetes Administrator.
• Prior professional working experience in top‑tier global banks, financial institutions, or enterprise fintech organizations.
• Hands‑on familiarity with vector databases (Pinecone, Milvus, Qdrant) and LLM monitoring suites (LangSmith, Arize).
• Experience utilizing CI/CD deployment pipelines, GitHub Actions, and infrastructure‑as‑code (Terraform) tools.
• Exposure to agile software development methodologies and enterprise IT service management (ITSM) ticketing platforms (ServiceNow, Jira).

Application Information

Recruiter: Tangspac Consulting Recruitment Division

Contact Name: Shashank Dohrey (Senior Human Resources Consultant)

Email: [e-mail]

Phone:

Company Website: https://www.tangspac.com

Salary/Rate: Market Competitive / Enterprise Banking Package

Deadline: Open until filled (Urgent Singapore Senior GenAI Application Engineer Opening)

Notice Period: Immediate to 30 Days Preferred

Contract Duration: Permanent / Full‑Time On‑Site Engagement (Singapore)

Recruitment Pro Tip

When applying for this Senior GenAI Application Engineer position through Tangspac Consulting, ensure your resume explicitly highlights your production‑grade LangChain, LangGraph, and RAG portfolio, details your experience with agentic workflows and Kubernetes containerization, and confirms your availability for on‑site work in Singapore.