Software Engineer

Job Summary

Job Title: Software Engineer

As a Software Engineer, you will design, build, and maintain AI-powered application features and agentic workflows using large language models (LLMs) and orchestration frameworks primarily building backend services and agent logic in Go or Python. You will collaborate with cross-functional teams to deliver high-quality solutions that put AI capabilities into the hands of users and support business objectives.

What Youll Be Doing

• Build and maintain AI-powered features and agentic workflows using LLMs, tool/function calling, and orchestration frameworks (e.g., LangChain, LangGraph).
• Build backend services, APIs, and agent orchestration logic primarily in Go or Python.
• Integrate LLM APIs and AI services into products, handling prompting, context management, evaluation, and guardrails.
• Where needed, build lightweight React interfaces to surface AI features and agent interactions to users.
• Collaborate with backend engineers to integrate APIs and deliver seamless features.
• Use AI-assisted development tools (GitHub Copilot, Cursor) to accelerate delivery and improve code quality.
• Participate in code reviews and contribute ideas to improve our engineering practices.
• Analyse and debug software and AI/agent behaviour to enhance performance, reliability, and maintainability.
• Work closely with product, design, and engineering teams to deliver high-quality solutions.
• Embrace opportunities to learn new AI techniques, technologies, and tools as part of your growth.

How You Will Succeed

• Apply modern AI engineering workflows prompt design, evaluation, and iteration to ship reliable AI features.
• Write clean, maintainable, well-tested backend code in Go or Python.
• Integrate LLMs via APIs and implement tool-calling and multi-step agent orchestration.
• Build and measure RAG pipelines, using retrieval and evaluation metrics to improve accuracy.
• Use AI coding assistants effectively as part of your daily development practice.
• Demonstrate strong communication and collaboration skills.
• Participate in code reviews and continuous improvement.

What You Should Bring

• 2-4 years of hands-on software engineering experience, including recent hands-on work building AI/LLM-powered or agentic applications.
• Proficiency in Go or Python as your primary language (preferred for this role).
• Practical experience with at least one agentic or LLM orchestration framework (e.g., LangChain, LangGraph, CrewAI, AutoGen) or equivalent custom agent workflows (framework ecosystem is primarily Python; equivalent Go libraries or custom orchestration are acceptable).
• Experience building RAG pipelines embeddings and vector stores (e.g., pgvector, OpenSearch, Pinecone, FAISS).
• Hands-on experience calling LLM APIs (e.g., Amazon Bedrock, Anthropic, OpenAI) and prompt engineering.
• Experience building and consuming RESTful APIs and backend services.
• Familiarity with React and modern JavaScript/TypeScript is a plus for building AI-facing UIs.
• Exposure to version control (Git) and basic CI/CD concepts.
• Demonstrated, hands-on use of AI coding tools (GitHub Copilot, Cursor).
• Bachelors degree in computer science, Engineering, or a related field (or equivalent practical experience).
• Demonstrated curiosity, enthusiasm, and willingness to learn new technologies.

Basic Qualifications and Experience Requirement

• 2-4 years of hands-on experience building software applications, including demonstrable experience building AI/LLM-powered or agentic features.
• Hands-on programming experience in Go or Python.

Additional Skills/Preferences

• Experience writing concurrent, high-performance backend services in Go.
• Exposure to AWS, including AI/ML services (e.g., Amazon Bedrock, SageMaker), and containerisation (Docker/EKS) is a plus.
• Familiarity with LLM evaluation and observability tooling (e.g., LangSmith) and techniques for reducing hallucination.
• Awareness of responsible AI practices: data privacy, prompt/output safety, and model limitations.
• Experience with TypeScript, Material-UI, or other component libraries.
• Experience with unit testing frameworks (e.g., Jest, React Testing Library, Go testing, pytest).
• Interest in contributing to open-source projects or tech communities.
• Understanding of Agile methodologies and software development lifecycle (SDLC).

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.