{"id":3425227,"url":"https://alion.io/job/inallmedia-backend-software-engineer-applied-ai","title":"Backend Software Engineer (Applied AI)","company":{"id":4431647,"name":"InAllMedia","domain":"inallmedia.com","url":"https://alion.io/company/inallmedia","size_band":"11-50","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":75,"open_postings":38,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":{"label":"CT","utc_offset_min":-6,"utc_offset_max":-6},"hiring_geo_confidence":"structured","locations":["Brazil"],"countries":["BR"],"hiring_countries":["AR","BR","CO","MX","AI","AG","AW","BS","BB","BZ","BM","BO","VG","BQ","KY","CL","CR","CW","DM","DO","EC","SV","FK","GF","GD","GP","GT","GY","HT","HN","JM","MQ","MS","NI","PA","PY","PE","PR","KN","LC"],"hiring_countries_total":49,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"gRPC","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Arize Phoenix","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Datadog","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Jira","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangSmith","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Milvus","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Pinecone","optional":true},{"name":"Qdrant","optional":true},{"name":"RAG","optional":true},{"name":"Semantic Search","optional":true},{"name":"Slack","optional":true}],"status":"live","first_seen_at":"2026-09-14T18:21:54Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-11-08T09:19:16Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"description":"Location: Remote from LATAM\nContract Type: Full-time Contractor\nTime Zone Alignment: CT\nAbout In All Media\nWe are a Managed Nearshore Teams provider headquartered in Austin, specializing in building and embedding high-performing software development teams. From design to deployment, we deliver customized solutions by connecting global talent with innovative client projects. Our model allows you to work on international challenges, collaborate with diverse teams, and grow your career while being part of a company that values expertise, creativity, and impact.\nProject Overview\nIn this role, you will be at the forefront of the AI revolution, supporting a high-impact project focused on integrating LLM capabilities into production enterprise systems. You will join a collaborative, fast-paced team dedicated to building the next generation of AI-powered software. The project involves architecting sophisticated multi-step task orchestration workflows, developing autonomous AI agents, and bridging AI models with external platforms using open integration standards like the Model Context Protocol (MCP). 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(4+ YEARS OF EXPERIENCE)\nCore Programming Mastery: Advanced proficiency in Python and/or Java for backend development and algorithm execution.\nApplied AI & LLM Systems: Direct, proven experience building AI-powered software or integrating LLMs into enterprise-grade applications.\nAgentic Frameworks: Hands-on experience developing autonomous AI agents and multi-step workflows.\nMCP Integration Literacy: Practical experience using Model Context Protocol (MCP), custom tool-calling, or JSON-RPC adapters.\nProduction Fundamentals: Strong grounding in distributed architectures, API design (REST/gRPC), and reliability patterns.\nMindset & Delivery: Proven ownership mindset, comfortable navigating both rapid experimentation and robust production support.\nFluent English: Excellent verbal and written communication skills for daily technical collaboration and documentation.\nNice-to-Have Skills\nAdvanced AI Architectures: Hands-on experience with Retrieval-Augmented Generation (RAG), multi-agent orchestration frameworks, semantic search, or vector database platforms (e.g., Pinecone, Qdrant, Milvus).\nEnterprise Platform Integrations: Background integrating AI solutions with platforms such as Salesforce, Jira, Slack, or internal developer portals.\nAI Observability & MLOps: Familiarity with cloud-native infrastructure (AWS/GCP/Azure), containerization (Docker/Kubernetes), and AI monitoring platforms (e.g., LangSmith, Arize, Datadog).\nSafety & Lifecycle Management: Experience implementing model guardrails, safety protocols, evaluation suites, and prompt/version control management.\nTime Zone & Collaboration\nThis role is 100% remote from LATAM and requires consistent overlap with teams in Central Time (CT). 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