{"id":4158319,"url":"https://alion.io/job/orbis-ai-engineer","title":"AI Engineer","company":{"id":3240205,"name":"Orbis","domain":"orbisds.com","url":"https://alion.io/company/orbisds","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sofia, Bulgaria"],"countries":["BG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"Angular","optional":true},{"name":"AWS","optional":true},{"name":"JavaScript","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-11-12T09:41:30Z","employer_posted_date":null,"last_verified_at":"2026-11-12T09:41:30Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for an AI Engineer with hands-on experience building agentic solutions.\n\nWhat You Will Do:\n\n• Design and build agentic solutions and in-product AI assistants for end users\n\n• Build MCP servers and tool integrations so LLMs can safely work with the product’s APIs and data\n\n• Build retrieval (RAG) pipelines and manage how much load AI features put on the production database\n\n• Integrate LLM providers and manage prompts, structured output, validation, cost and failure handling\n\n• Work with the existing engineers on feature development when needed\n\n• Document the architecture and share knowledge with the team\n\nWhat We Are Looking For:\n\n• 5+ years of professional software engineering experience, with at least 2 years working hands-on with LLMs\n\n• Proven experience building agentic solutions: multi-agent systems, agent orchestration and tool calling\n\n• Hands-on experience building MCP servers\n\n• Experience with RAG, vector databases and embeddings in a real product\n\n• Experience integrating frontier and open weight models with structured output, validation and fallback strategies\n\n• Solid backend skills (Python, Java or TypeScript) and experience with REST APIs and relational databases, and comfortable working on the front-end when needed\n\n• Ability to explain a past agentic project in detail: the architecture, the trade-offs and what went wrong\n\n• Fluent English and comfortable working directly with a US-based team\n\nNice to Have:\n\n• Experience building AI assistants that end users interact with inside a SaaS product\n\n• Java and front-end experience (React, Vue or Angular), so the engineer can help with product features\n\n• Experience protecting a production database from heavy AI workloads (read replicas, caching, rate limiting)\n\n• Experience with PostgreSQL and AWS\n\n• Experience with AI security, such as prompt injection and data isolation between tenants\n\nIf this sounds like you – Apply 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