Senior AI Solutions Engineer (Team Lead)

techstreet; Selangor; On-site; MYR 180,000 - 340,000; Full time

Job summary

techstreet is seeking a Senior AI Solutions Engineer (Team Lead) to drive end-to-end delivery of enterprise AI solutions powered by LLMs, RAG, and agent-based workflows. You will own solution architecture, lead hands-on delivery, mentor engineers, and elevate engagements to scalable capabilities across multiple customers.

You will translate requirements into practical architectures, design AI solutions, select models, and oversee production from proof-of-concept to production, ensuring quality,

Qualifications

• Degree in CS/AI/Software Engineering/IT/Data Science or a related discipline.
• Around 2–3 years of hands-on software/AI delivery experience, including production LLM/RAG/agent solutions.
• Demonstrated experience leading delivery or mentoring engineers, ideally in a customer-facing setting.
• Strong Python and software-engineering fundamentals.

Responsibilities

• Translate customer requirements into practical, scalable solution architectures, workflows and delivery plans.
• Own the technical design of AI solutions - knowledge bases, RAG pipelines, agent and workflow automation, authentication and system integration.
• Select models, frameworks and configurations based on quality, latency, cost, security and business requirements.
• Design modular, reusable AI capabilities that can be applied across multiple customers and use cases.
• Lead delivery from proof-of-concept through to production and continuous optimisation, ensuring quality, security and timeliness.
• Mentor and review the work of the AI Solutions Engineer(s); set engineering standards and best practices.
• Establish AI evaluation, automated testing, logging and monitoring; drive optimisation of prompts, workflows and model choices.
• Act as the senior technical lead in customer discussions, demonstrations, proof-of-concepts and implementation workshops.
• Oversee integration with customer systems - APIs, databases, messaging channels and enterprise platforms.
• Ensure solutions meet security, data-privacy, access-control, explainability and audit requirements.

Skills

Python

APIs

Databases

Cloud platforms

Docker

Git

CI/CD

LLMs

Prompt engineering

RAG

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Git

CI/CD

APIs

Databases

Job description

Senior AI Solutions Engineer (Team Lead)

Lead the end-to-end delivery of production-ready enterprise AI solutions powered by Large Language Models (LLM), Retrieval-Augmented Generation (RAG) and agent-based workflows - owning solution architecture, driving hands-on delivery, and serving as the senior technical point of contact for customers. This is a hands-on leadership role: the person both builds and leads. They take solutions from proof-of-concept to stable production, set delivery and engineering standards, mentor the team, and turn each engagement into reusable capability that scales across multiple customers and use cases.

Key responsibilities

Translate customer requirements into practical, scalable solution architectures, workflows and delivery plans

Own the technical design of AI solutions - knowledge bases, RAG pipelines, agent and workflow automation, authentication and system integration

Select models, frameworks and configurations based on quality, latency, cost, security and business requirements

Design modular, reusable AI capabilities that can be applied across multiple customers and use cases

Lead delivery from proof-of-concept through to production and continuous optimisation, ensuring quality, security and timeliness

Mentor and review the work of the AI Solutions Engineer(s); set engineering standards and best practices

Establish AI evaluation, automated testing, logging and monitoring; drive optimisation of prompts, workflows and model choices

Act as the senior technical lead in customer discussions, demonstrations, proof-of-concepts and implementation workshops

Oversee integration with customer systems - APIs, databases, messaging channels and enterprise platforms

Ensure solutions meet security, data-privacy, access-control, explainability and audit requirements

About you

Degree in Computer Science, AI, Software Engineering, Information Technology, Data Science or a related discipline

Around 2-3 years of hands-on software / AI delivery experience, including production LLM / RAG / agent solutions delivered from proof-of-concept to production

Demonstrated experience leading delivery or mentoring engineers, ideally in a customer-facing setting

Strong Python and software-engineering fundamentals

Experienced with APIs, databases, backend development and system integration

Familiar with cloud platforms, Docker, Git, CI/CD and monitoring

Strong command of mainstream large language models and model selection

Skilled in prompt engineering, structured output and tool calling

Experienced in RAG, vector search and knowledge-base development

Able to design and build AI agents and automated workflows