Work type: Office/Remote
Technical Level: Senior
Job Category: Software Development
Project: Tech solution provider for clinical research
We’re looking for a backend-focused software engineer with a strong interest in applied AI to help us integrate LLMs, RAG pipelines, and agentic workflows into our SaaS products.
This role is not about building models from scratch - it’s about engineering production-grade systems that harness existing AI models and frameworks to deliver real product value.
You’ll collaborate with product managers, LLM specialists, and domain experts to design, build, and scale intelligent features powered by modern AI technologies.
Responsibilities:
Design and implement backend services that integrate LLM APIs (e.g., OpenAI, Claude) and retrieval-augmented generation (RAG) architecturesBuild and maintain prompt orchestration logic, agent frameworks, and tool integrationsWork with vector databases (e.g., Pinecone, Weaviate, pgvector) to enable semantic search and retrievalCollaborate with product and validation teams to ensure outputs are reliable, safe, and aligned with domain expectationsImplement monitoring, observability, and fallbacks for AI-driven services in productionContribute to internal SDKs, templates, and documentation for reusability across product teams Requirements:
3 - 5+ years of experience as a backend or platform engineerStrong skills in Python, TypeScript/Node.js, or similar backend stackHands-on experience with AI/LLM APIs, RAG frameworks (LangChain, LlamaIndex), or vector storesUnderstanding of prompt engineering, agent design, or AI system patternsComfort working with non-deterministic systems and building safeguards around themStrong software engineering fundamentals: clean architecture, testing, CI/CD, logging Nice to Have:
Experience with agentic AI tools (LangGraph, CrewAI, etc.)Familiarity with LLM evaluation techniques or AI observability platformsExposure to regulated environments (e.g., clinical, financial, legal tech)We offer*:
Flexible working format - remote, office-based or flexibleA competitive salary and good compensation packagePersonalized career growthProfessional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)Active tech communities with regular knowledge sharingEducation reimbursementMemorable anniversary presentsCorporate events and team buildingsOther location-specific benefits *not applicable for freelancers