Senior AI Backend Engineer – LLM Applications
Company: Asahan Tech Partners
Location: Fully Remote
Compensation: USD $3,000–$4,000 per month
About the Role
Asahan Tech Partners is looking for a Senior AI Backend Engineer to design and build scalable backend systems for LLM-powered applications.
You will work on production AI systems involving large language models, backend APIs, data processing, AI workflows, and cloud infrastructure. This role is ideal for an experienced backend engineer who understands how to integrate LLMs into reliable, secure, and maintainable applications.
Responsibilities
Design, build, and maintain backend services for LLM-powered applications.
Develop scalable APIs and microservices for AI features.
Integrate LLM providers and AI services into production systems.
Build and improve retrieval-augmented generation pipelines.
Implement document ingestion, text processing, embedding, and vector-search workflows.
Design prompt-management and AI workflow systems.
Improve the accuracy, reliability, latency, and cost efficiency of LLM applications.
Build monitoring, logging, error-handling, and evaluation systems for AI outputs.
Design secure data flows and protect sensitive application data.
Review code and contribute to technical architecture decisions.
Collaborate remotely with developers, product stakeholders, and other team members.
Troubleshoot production issues and improve overall system performance.
Requirements
At least 5 years of professional backend development experience.
Strong experience with Python and modern backend frameworks such as FastAPI, Django, or Flask.
Practical experience building or integrating LLM-powered applications.
Experience working with LLM APIs such as OpenAI, Anthropic, Google Gemini, or similar platforms.
Understanding of retrieval-augmented generation, embeddings, vector search, and prompt engineering.
Experience designing REST APIs, microservices, and distributed backend systems..
English fluency for technical discussions and remote collaboration.
Ability to work independently in a fully remote environment.
Preferred Qualifications
Experience building production RAG systems.
Experience with LLM evaluation, observability, guardrails, or hallucination reduction.
Experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.
Familiarity with agentic workflows and tool-calling systems.
Previous experience working with international or distributed teams.
What We Offer
Monthly compensation of USD $3,000–$4,000, depending on experience and technical ability.
Opportunity to work on practical, production-focused LLM applications.
Direct involvement in backend architecture and technical decisions.
Collaboration with an international remote team.
Long-term opportunities based on performance and project needs.
