Agentic AI Developer - BGC - Manila
Dotco Pte. Ltd.
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Job summary
Dotco Pte. Ltd. in Manila seeks an experienced Agentic AI Developer to design, develop, and deploy autonomous AI agents capable of reasoning and planning. You will integrate with enterprise systems and orchestrate AI workflows across platforms.
The role focuses on Building AI copilots and agent frameworks, with strong emphasis on cloud-native architectures and secure, scalable deployments.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Software Engineering, or related field.
Responsibilities
- Design and develop autonomous and multi-agent AI systems with planning and reasoning capabilities.
- Build AI agents that interface with enterprise apps, APIs, databases, and knowledge bases.
- Implement agent orchestration workflows using modern AI frameworks.
- Develop RAG solutions to improve factual accuracy and domain-specific responses.
- Optimize prompt engineering, agent behavior, and response quality.
Skills
Education
Tools
Job description
- Microsoft Azure (preferred)
BGC, Manila
We are seeking a highly skilled Agentic AI Developer to design, develop, and deploy autonomous AI agents that can reason, plan, take actions, collaborate with other agents, and integrate with enterprise systems. The ideal candidate will have hands‑on experience building AI-powered applications using Large Language Models (LLMs), agent frameworks, orchestration platforms, and cloud‑native architectures.
You will work closely with product managers, architects, data engineers, and business stakeholders to create intelligent AI solutions that automate complex workflows, enhance decision‑making, and drive business transformation.
- Design and develop autonomous and multi‑agent AI systems capable of planning, reasoning, memory management, and tool usage.
- Build AI agents that can interact with enterprise applications, APIs, databases, and knowledge bases.
- Implement agent orchestration workflows using modern AI frameworks.
- Develop Retrieval‑Augmented Generation (RAG) solutions to improve factual accuracy and domain‑specific responses.
- Optimize prompt engineering, agent behavior, and response quality.
- Design end-to-end Agentic AI architectures for enterprise use cases.
- Integrate foundational models from OpenAI, Azure OpenAI, Anthropic, Gemini, Llama, or similar platforms.
- Build scalable, secure, and production‑ready AI services.
- Develop memory, planning, and reasoning mechanisms for autonomous agents.
- Implement monitoring, evaluation, and governance frameworks for AI systems.
- Microsoft 365
- Dynamics 365
- SAP
- Salesforce
- ServiceNow
- SharePoint
- Teams
- Databases and data platforms
- Develop API integrations and event‑driven workflows.
- Build AI copilots for business processes and customer‑facing applications.
- Deploy AI applications on Azure, AWS, or GCP.
- Establish CI/CD pipelines for AI applications.
- Monitor model performance, agent effectiveness, and operational metrics.
- Ensure compliance with security, privacy, and responsible AI standards.
Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field.
- 3+ years of software development experience.
- 2+ years of experience working with Generative AI technologies.
- Python
- JavaScript/TypeScript
- REST APIs
- SQL/NoSQL databases
- LangChain
- LangGraph
- Semantic Kernel
- CrewAI
- AutoGen
- LlamaIndex
- Pydantic AI
- Prompt Engineering
- RAG implementations
- Vector databases
- Agent orchestration patterns
- Function calling and tool integration
- Cloud & DevOps
- Microsoft Azure (preferred)
- Azure AI Foundry
- Azure OpenAI
- Azure AI Search
- Azure Functions
- Kubernetes
- Docker
- GitHub Actions or Azure DevOps
- Experience building multi-agent collaboration systems.
- Knowledge of MCP (Model Context Protocol).
- Experience with AI observability tools such as LangSmith, Arize, Phoenix, or Weights & Biases.
- Familiarity with Responsible AI, AI governance, and compliance frameworks.
- Experience developing Microsoft Copilot Studio or custom Copilot solutions.
- Understanding of knowledge graphs and advanced retrieval techniques.
- Exposure to fine‑tuning and model optimization techniques.
- Strong problem‑solving and analytical skills.
- Ability to translate business problems into AI solutions.
- Excellent communication and stakeholder management skills.
- Passion for emerging AI technologies.
- Ability to work in agile and cross‑functional environments.
- Continuous learning mindset.
- Multi‑agent workflow automation.
- AI‑powered business process automation.
- Enterprise chatbot and copilot development.
- Conversational AI and voice agents.
- Autonomous task execution systems.
- Human‑in‑the‑loop AI solutions.
- Adoption and measurable business value from AI initiatives.
- Azure OpenAI
- OpenAI GPT
- Anthropic Claude
- Gemini
- Llama Models
- Semantic Kernel
- LangGraph
- LangChain
- CrewAI
- AutoGen
- Pydantic AI
- Azure AI Search
- Pinecone
- Weaviate
- Elasticsearch
- PostgreSQL
- Azure
- AKS
- Docker
- Kubernetes
- GitHub Actions
- Terraform
We are committed to fostering an inclusive workplace and welcome applicants from diverse backgrounds, experiences, and perspectives. We believe diversity drives innovation and strengthens our ability to build world-class AI solutions.
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