Artificial Intelligence Engineer

Viventis Search Asia; Taguig; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Viventis Search Asia is seeking a Software Engineer – AI (GenAI) to design, build, and deploy intelligent AI solutions that tackle real-world business challenges. You will focus on prompt engineering, domain understanding, and delivering scalable AI solutions through modern MLOps practices.

You will collaborate with cross-functional teams to develop AI-powered applications leveraging LLMs while ensuring secure, reliable, and Responsible AI-aligned outcomes.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, AI, Data Science, or related field.
• Experience developing applications using Generative AI and Large Language Models (LLMs).
• Hands-on experience in Prompt Engineering for business or enterprise use cases.
• Experience with MLOps platforms such as MLflow, Azure Machine Learning, or equivalent technology.
• Strong understanding of AI model deployment, CI/CD, monitoring, and lifecycle management.
• Familiarity with Responsible AI concepts, bias mitigation, explainability, privacy, and governance.
• Proficiency in Python and integrating AI/ML models into production applications.
• Experience working in Agile software development environments.

Responsibilities

• Design, develop, and optimize prompts to generate accurate outputs from LLMs.
• Collaborate with stakeholders to translate domain terminology into AI solutions.
• Build, deploy, monitor, and maintain GenAI pipelines using MLOps platforms.
• Integrate GenAI capabilities into enterprise apps for scalable, reliable use.
• Apply AI model deployment best practices, including versioning and monitoring.
• Stay updated with GenAI advances and deployment technologies.
• Work with engineers, data scientists, PMs, and business teams on AI-driven solutions.

Skills

Generative AI

LLMs

Prompt engineering

Python

Agile

Education

Bachelor's degree in CS/SE/AI/Data Science

Tools

MLflow

Azure Machine Learning

OpenAI APIs

LangChain

Semantic Kernel

REST APIs

Docker

Kubernetes

Job description

Job Title: Software Engineer – AI (Generative AI)

About the Rol

eWe are seeking a Software Engineer – AI with expertise in Generative AI (GenAI) to design, build, and deploy intelligent AI solutions that address real-world business challenges. This role focuses on prompt engineering, understanding business domains, and delivering scalable, production-ready AI solutions through modern MLOps practices

.
You will work closely with cross-functional teams to develop AI-powered applications that leverage Large Language Models (LLMs) while ensuring solutions are secure, reliable, and aligned with Responsible AI principle

Key Responsibilit

• iesDesign, develop, and optimize prompts to generate accurate, relevant, and high-quality outputs from Large Language Models (LLM
• s).Collaborate with business stakeholders to understand industry-specific terminology, business processes, and operational challenges, translating them into effective AI solutio
• ns.Build, deploy, monitor, and maintain Generative AI pipelines using MLOps platforms such as MLfow, Azure Machine Learning, or similar technologi
• es.Integrate Generative AI capabilities into enterprise applications, ensuring scalability, reliability, and maintainabili
• ty.Implement best practices for AI model deployment, versioning, monitoring, and lifecycle manageme
• nt.Apply Responsible AI principles, including fairness, transparency, security, bias mitigation, and model explainabili
• ty.Evaluate and improve LLM performance through prompt tuning, testing, experimentation, and continuous optimizati
• on.Stay up to date with advancements in Generative AI, prompt engineering, and AI deployment technologi
• es.Collaborate with software engineers, data scientists, product managers, and business stakeholders to deliver AI-driven solutio

Qualificat

• ionsBachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related fi
• eld.Experience developing applications using Generative AI and Large Language Models (LL
• Ms).Hands-on experience in Prompt Engineering for business or enterprise use ca
• ses.Experience with MLOps platforms such as MLflow, Azure Machine Learning, or equivalent technolog
• ies.Strong understanding of AI model deployment, CI/CD, monitoring, and model lifecycle managem
• ent.Familiarity with Responsible AI concepts, including bias mitigation, explainability, privacy, and AI governa
• nce-Proficiency in Python and experience integrating AI/ML models into production applicati
• lls.Experience working in Agile software development environments is prefer

Preferred S

• killsExperience with Azure OpenAI Service, OpenAI APIs, LangChain, Semantic Kernel, or similar GenAI framew
• orks.Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI orchestration framew
• orks.Experience working with cloud platforms such as Microsoft Azure or
• AWS.Familiarity with REST APIs, Docker, Kubernetes, and modern software engineering pract

Why J

• oin UsWork on cutting-edge Generative AI initiatives that solve complex business chall
• llaborate with talented professionals across engineering, AI, and business
• teams.Build scalable, production-grade AI solutions using modern technologies and best prac
• ctices.Grow your expertise in one of the fastest-evolving areas of software engineering and artificial intelli