Full Stack Engineer (Agentic AI)

Good day,

We have immediate opportunity for Full Stack Engineer (Agentic AI)

Job Role: Full Stack Engineer (Agentic AI)

Job Location: Singapore

Experience- 3 Years - 6 Years

Notice Period: Immediate to 30 days.

About Company:

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honoured with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+ and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.

Diversity, Equity, and Inclusion

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Job Description:

Job Title: Full Stack Engineer (Agentic AI)

Role Summary

As a Full Stack Engineer (Agentic AI), you will be at the forefront of building cutting-edge AI-powered

applications using modern technology stacks. This position involves working with multi-agent orchestration

frameworks, LLM observability systems, Langfuse, Agno, MCP tools, and advanced retrieval & evaluation

pipelines.

You'll collaborate closely with AI product and platform teams to deliver high-quality, production-grade

solutions that serve customers across the Asia-Pacific region. This role transcends traditional full-stack

engineering by focusing on AI-native backend services, agentic workflows, guardrails, evaluation pipelines, and

front-end interfaces that empower both customers and internal users.

Key Responsibilities

Agentic AI & Backend Engineering

Multi-Agent Systems: Build sophisticated multi-agent AI systems using frameworks such as Agno,

Langchain, and LlamaIndex

MCP Integration: Implement Model Context Protocol (MCP) tools for enhanced agentic capabilities

API Development: Build and maintain robust APIs using Node.js/TypeScript, deployed on AWS

infrastructure (Serverless, Lambda, ECS)

LLM Integration: Integrate Large Language Models (OpenAI, Claude) into backend services with best

practices for prompt engineering, safety protocols, and guardrails

Quality Assurance: Implement LLM evaluations, automated regression testing, benchmarking, and quality

scoring systems

Data Management: Work with vector databases (Pinecone, Qdrant, Weaviate) and develop retrieval

pipelines

Observability: Build comprehensive observability integrations using Langfuse, including traces, spans, scoring, and analytics, Frontend Engineering

Modern UI Development: Create clean, intuitive user interfaces using React, Next.js, and TypeScript

Dashboards:

Build comprehensive dashboards for agentic workflows, analytics, observability, and internal tools

Design Integration:

Integrate UX workflows using Figma; experience with AI-assisted development through Cursor/Copilot is advantageous

DevOps, Cloud & Infrastructure

Microservices Deployment:

Deploy and scale microservices on Cloud Run, AWS ECS, Kubernetes, and similar platforms

CI/CD Pipeline Management:

Build secure, scalable continuous integration and deployment pipelines using GitHub Actions

Distributed Systems:

Work extensively with APIs, Webhooks, Pub/Sub, EventBridge, and distributed system architectures

Security:

Implement comprehensive guardrails including LLM Guard, custom rule engines, and safety layers

Collaboration & AI Culture

Cross-Functional Teamwork:

Collaborate effectively with Product, Operations, and Finance teams

Innovation:

Engage in brainstorming sessions, rapid prototyping, and hackathons

Culture Building:

Contribute to Asurion's AI-first engineering culture by adopting new tools and sharing best practices

Education:

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Experience:

0–3 years of experience (Fresh graduates with strong AI projects are encouraged to apply)

Technical Skills

Core Programming:

Strong proficiency in Node.js, TypeScript, React, and Next.js

AI Systems:

Hands-on experience building Agentic AI systems or LLM-based applications

Orchestration Frameworks:

Familiarity with Agno, LangChain, LangGraph, or similar orchestration frameworks

Tools:

Experience with Model Context Protocol (MCP) tools

Observability:

Strong understanding of LLM Observability systems (Langfuse preferred)

AI Engineering:

Experience with LLM evaluations, RAG patterns, prompt engineering, and guardrails

API Development:

Proficiency in REST and GraphQL API development

Cloud Platforms:

Practical experience with Amazon Web Services (AWS)

Database Management:

Experience with PostgreSQL, MongoDB, Redis, and vector databases

DevOps Skills:

Good grasp of CI/CD processes, testing frameworks, containerization (Docker), and GitHub workflows

Vibe Coding:

Ability to work effectively with Cursor, GitHub Copilot, or other AI-assisted development tools

Soft Skills

Leadership Qualities:

Strong ownership, accountability, and problem-solving mindset

Agile Methodology:

Ability to thrive in fast-paced Agile team environments

Continuous Learning:

Passion for learning new technologies within the rapidly evolving AI ecosystem

Communication:

Excellent communication and collaboration skills