Forward Deployed Engineer

techstreet; Kuala Lumpur; On-site; MYR 120,000 - 230,000; Full time

Job summary

techstreet is seeking a seasoned software engineer to deliver AI-driven solutions for enterprise customers. You will design and build AI agents and LLM-powered applications that integrate with enterprise systems and data workflows.

You will own delivery quality, troubleshoot issues, and help customers measure impact while scaling reusable components and tooling across engagements.

Qualifications

• 5+ years of hands-on software engineering, delivering enterprise solutions.
• Strong Python and backend development, REST APIs, and SQL with integration to enterprise systems.
• Experience building LLM-powered apps (RAG, tool calling, agent orchestration).
• Experience evaluating AI applications for quality, latency, cost and failure handling.
• Cloud deployment experience on at least one major provider (Azure, AWS or Google Cloud).
• Knowledge of Git, CI/CD, containerization (Docker), testing, logging and production troubleshooting.
• Experience working with structured and unstructured data, data ingestion and integration workflows.
• Understanding of enterprise security fundamentals: authentication, authorization, access controls and secrets management.

Responsibilities

• Discover and scope customer challenges, translate requirements into use cases and delivery plans.
• Design and build AI agents and LLM-powered apps that integrate with enterprise systems and data workflows.
• Integrate and deploy solutions to customer environments with reliability and performance.
• Own delivery quality with testing, evaluation, monitoring and governance.
• Troubleshoot and optimize across application code, integrations, infrastructure and AI model behavior.
• Deliver business impact by measuring outcomes and communicating value to stakeholders.
• Enable and scale by training customer teams and producing reusable components and documentation.

Skills

Python

Backend development

REST APIs

SQL databases

Enterprise integration

LLM-powered apps

RAG

Agent orchestration

Cloud platforms

Monitoring & troubleshooting

Tools

Docker

Git

CI/CD

Azure / AWS / Google Cloud

Job description

You will work directly with enterprise customers to discover business challenges, design and build AI agents and LLM-powered applications, integrate solutions with enterprise systems, and deliver production-ready applications that drive measurable business value. You will own delivery quality, troubleshoot and optimise solutions based on real-world usage, and enable customer teams through training and reusable components.

Key responsibilities

Discover and scope: Work directly with customers to understand business challenges, lead discovery discussions, and translate ambiguous requirements into clear use cases, solution architectures and delivery plans.

Design and build: Rapidly prototype, design and develop AI agents and LLM-powered applications that integrate with enterprise systems, data and business workflows.

Integrate and deploy: Connect solutions to enterprise applications, APIs and databases, deploy them into customer environments, and optimise for reliability, scalability and performance.

Own delivery quality: Build production-ready solutions with appropriate testing, AI evaluation, monitoring, error handling, safeguards and human oversight, while addressing customer security, data protection and regulatory requirements.

Troubleshoot and optimise: Diagnose and resolve issues across application code, integrations, infrastructure and AI model behaviour, continuously improving solutions based on real-world usage and feedback.

Deliver business impact: Work with customers to measure outcomes, identify improvement opportunities, and communicate technical trade-offs, costs and business value to stakeholders.

Enable and scale: Train customer teams, produce clear technical documentation, and contribute reusable components, tools and frameworks that accelerate future delivery.

About you

5+ years of hands-on software engineering experience, preferably delivering solutions for enterprise customers, with demonstrated experience taking applications from development into production.

Strong programming skills in Python, with experience in backend application development, REST APIs, SQL databases and integration with enterprise systems.

Practical experience building LLM-powered applications or AI agents, including RAG, tool calling, agent orchestration and integration with external tools or enterprise data.

Experience evaluating and troubleshooting AI applications, including response quality, reliability, latency, cost and failure handling.

Hands-on experience deploying and maintaining applications on at least one major cloud platform (Azure, AWS or Google Cloud).

Working knowledge of Git, CI/CD pipelines, containerisation (Docker), software testing, logging and production troubleshooting.

Experience working with structured and unstructured data, including data ingestion, transformation and integration workflows.

Understanding of enterprise application security fundamentals, including authentication, authorisation, access controls, secrets management and secure data handling.

Ability to independently conduct customer discovery discussions, analyse existing business processes, and translate ambiguous requirements into solution designs and working applications.

Strong analytical, troubleshooting and communication skills, with the ability to work effectively with technical and non-technical stakeholders.