N-iX
Overview
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) architectures
Build and maintain prompt orchestration logic, agent frameworks, and tool integrations
Work with vector databases (e.g., Pinecone, Weaviate, pgvector) to enable semantic search and retrieval
Collaborate with product and validation teams to ensure outputs are reliable, safe, and aligned with domain expectations
Implement monitoring, observability, and fallbacks for AI-driven services in production
Contribute to internal SDKs, templates, and documentation for reusability across product teams
Requirements
3 - 5+ years of experience as a backend or platform engineer
Strong skills in Python, TypeScript/Node.js, or similar backend stack
Hands-on experience with AI/LLM APIs, RAG frameworks (LangChain, LlamaIndex), or vector stores
Understanding of prompt engineering, agent design, or AI system patterns
Comfort working with non-deterministic systems and building safeguards around them
Strong 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 platforms
Exposure to regulated environments (e.g., clinical, financial, legal tech)
We offer
Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits
Not applicable for freelancers
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Industries: Construction, Software Development, and IT Services and IT Consulting
#J-18808-Ljbffr
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) architectures
Build and maintain prompt orchestration logic, agent frameworks, and tool integrations
Work with vector databases (e.g., Pinecone, Weaviate, pgvector) to enable semantic search and retrieval
Collaborate with product and validation teams to ensure outputs are reliable, safe, and aligned with domain expectations
Implement monitoring, observability, and fallbacks for AI-driven services in production
Contribute to internal SDKs, templates, and documentation for reusability across product teams
Requirements
3 - 5+ years of experience as a backend or platform engineer
Strong skills in Python, TypeScript/Node.js, or similar backend stack
Hands-on experience with AI/LLM APIs, RAG frameworks (LangChain, LlamaIndex), or vector stores
Understanding of prompt engineering, agent design, or AI system patterns
Comfort working with non-deterministic systems and building safeguards around them
Strong 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 platforms
Exposure to regulated environments (e.g., clinical, financial, legal tech)
We offer
Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits
Not applicable for freelancers
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Industries: Construction, Software Development, and IT Services and IT Consulting
#J-18808-Ljbffr