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Backend Developer (AI Systems)

K

KODA Kollectiv

25 - 75K PHP
Contract
Remote

Job Title : Backend Developer (AI Systems) 

Salary : Php 25,000-75,000

Work Setup : Remote

Employment Type : Contractual



About the Role:


We are looking for a Backend Developer (AI Systems) who can build the APIs, infrastructure, and backend services that power modern AI-enabled applications.

This role focuses on designing scalable backend architectures, integrating AI platforms, and developing systems that support embeddings, vector search, Retrieval-Augmented Generation (RAG), knowledge retrieval, and intelligent automation workflows.

You will work closely with AI engineers, frontend developers, product teams, and stakeholders to create reliable backend foundations that enable AI-powered experiences across web, mobile, and enterprise applications.


Key Responsibilities:


  • Design, develop, and maintain scalable backend applications, APIs, and microservices
  • Build and manage infrastructure that powers AI-enabled applications and services
  • Develop RESTful and GraphQL APIs that integrate with frontend applications, third-party platforms, and AI services
  • Implement AI-related backend workflows including embeddings generation, vector search, semantic retrieval, and Retrieval-Augmented Generation (RAG) pipelines
  • Integrate AI platforms such as OpenAI, Anthropic Claude, Google AI (Gemini), Azure OpenAI, or similar services
  • Design and optimize data pipelines that support AI processing, knowledge retrieval, and intelligent automation
  • Build and maintain systems for document ingestion, indexing, chunking, and retrieval workflows
  • Work with vector databases and search technologies to improve AI relevance and response quality
  • Optimize backend performance, scalability, reliability, and security
  • Collaborate with AI engineers and product teams to design AI-driven solutions and workflows
  • Monitor, troubleshoot, and improve production systems and backend infrastructure
  • Create and maintain technical documentation for APIs, services, and AI architectures


Requirements:


  • Strong backend development experience using technologies such as Node.js, NestJS, Laravel, ASP.NET Core, Python, Go, Java, or similar frameworks
  • Experience designing and building scalable APIs and distributed systems
  • Strong understanding of database design, data modeling, and backend architecture principles
  • Experience integrating AI APIs and services into production applications
  • Familiarity with embeddings, vector search, semantic retrieval, and Retrieval-Augmented Generation (RAG) concepts
  • Experience working with relational and NoSQL databases
  • Strong understanding of cloud infrastructure, deployment, and DevOps fundamentals
  • Familiarity with AWS, Azure, Google Cloud Platform, or equivalent cloud services
  • Understanding of authentication, authorization, security, and API best practices
  • Strong debugging, problem-solving, and performance optimization skills
  • Good communication skills and ability to work cross-functionally


Nice to Have (Optional):


  • Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or similar technologies
  • Familiarity with AI orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar tools
  • Experience building Retrieval-Augmented Generation (RAG) solutions in production environments
  • Experience with event-driven architectures, message queues, and streaming platforms (Kafka, RabbitMQ, SQS, etc.)
  • Knowledge of containerization and orchestration technologies such as Docker and Kubernetes
  • Experience implementing AI workflows, intelligent agents, or automation platforms
  • Familiarity with monitoring and observability tools such as Datadog, Grafana, Prometheus, or Sentry
  • Experience supporting AI-powered SaaS, enterprise, or customer-facing applications


What You Can Expect:


  • Ownership Impact: Build the core infrastructure and services that enable AI-powered products and experiences
  • AI-Driven Work: Work on cutting-edge backend systems supporting intelligent applications and automation workflows
  • Technical Challenges: Design scalable architectures for embeddings, vector search, RAG, and AI processing pipelines
  • Collaborative Environment: Partner with AI engineers, frontend developers, DevOps engineers, and product teams
  • Fast-Paced Execution: Work in an environment that values innovation, ownership, and continuous improvement
  • Career Growth: Expand your expertise in backend engineering, AI infrastructure, cloud technologies, and modern distributed systems


Note:

This role focuses on building the backend systems and infrastructure that enable AI-powered applications. Deep machine learning research or model training experience is not required. Candidates with strong backend engineering experience and an interest in AI systems, embeddings, vector search, and Retrieval-Augmented Generation (RAG) are highly encouraged to apply.