{"id":2119422,"url":"https://alion.io/job/uphillhealth-senior-backend-developer-ai","title":"Senior Backend Developer - AI","company":{"id":1970688,"name":"UpHill","domain":"uphillhealth.com","url":"https://alion.io/company/uphillhealth","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":89000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":52},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Fargate","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Java","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Spring Boot","optional":false},{"name":"Terraform","optional":false},{"name":"WebSockets","optional":false}],"status":"live","first_seen_at":"2026-05-22T00:00:00Z","employer_posted_date":"2026-05-22","last_verified_at":"2026-10-20T11:26:28Z","board_verified":true,"closed_at":null,"days_open":151,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":151},"description":"About UpHill\nAt UpHill, our mission is to increase clinical capacity so healthcare professionals can focus on what matters most - the patients. Healthcare teams are either stretched thin by work that can be automated or weighed down by waste that can be avoided. UpHill's intelligent automated platform uses hospital data and patient conversations to turn chaos into useful and efficient interactions.\nWe build conversational AI agents, intelligent clinical pathways, and care orchestration tools that empower clinicians to work at their full potential - deployed across leading hospitals in Europe, with 100K+ lives impacted and over 1 million clinical interactions mediated. UpHill Route is a certified Class IIa Medical Device.\nWe're a team of curious and creative people who believe technology should enhance - not replace - the work of healthcare professionals. If you're excited about making a real impact in one of the most meaningful industries in the world, you just might be an Uphiller.\nToday we're looking for a Senior Backend Developerto join our AI team and help us build the next generation of AI infrastructure for healthcare - powering clinical agents that interact with patients in real time, triage symptoms intelligently, and support clinical decision-making at scale.\nStack Used\nPython AI frameworks (e.g., LangChain and similar LLM orchestration tools)\nAWS stack - ECS/Fargate (service architecture), SQS, EventBridge, S3, Bedrock - Terraform\nPostgreSQL · Redis\nDocker · GitHub Actions\nResponsibilities\nDesign and build AI agent pipelines:Work closely with the engineering team to translate product and clinical requirements into reliable, production-grade services powering real-time patient interactions.\nDevelop and maintain backend microservices:Write clean, well-tested, maintainable code. Ensure services are performant, scalable, and production-ready from day one.\nContribute to AWS cloud infrastructure:Participate in designing, deploying, and maintaining the AWS infrastructure supporting the platform - ECS clusters, SQS queues, EventBridge rules, and more.\nBuild and evolve internal tooling:Contribute to the shared SDK that other agents and services are built upon - raising the bar for consistency, reliability, and developer experience across the platform.\nShowcase implemented solutions:Communicate and demonstrate technical solutions during sprint reviews, including design choices, trade-offs, and how the work ties back to product goals.\nDefine and uphold engineering conventions:Collaborate with the team to establish coding standards, review practices, and architectural patterns - then enforce them through code review and tooling.\nOwnership mentality:You ship and maintain what you build.\nAutonomous but collaborative:Capable of owning initiatives while working effectively with cross-functional teams (product, clinical, ops, etc.).\nProduct-focused:You care about the why as much as the how behind every feature.\nMain Requirements\nMSc/BSc in Computer Engineering, Software Engineering, or a related field\nMinimum 5 years of backend development experience in production environments\nStrong proficiency in Python\nExperience building and integrating LLM-powered applicationsusing Python AI frameworks (LangChain, LlamaIndex, or equivalent)\nExperience in event-driven architecture- SQS, Kafka, or similar message queues\nExperience with AWS services: ECS/Fargate, S3, SQS, EventBridge, AI services\nProficiency with PostgreSQLand Redis\nStrong testing experience - Unit, Integration, E2E\nRigorous about code quality\nExperience taking part in architectural discussions and decisions\nKeen awareness of the evolving AI landscape, including LLM integrations and agent patterns in day-to-day engineering work\nStrong observability mindset: familiarity with tools like Datadog, CloudWatch, or OpenTelemetry - understands the importance of logging, metrics, and alerting in a production-grade SaaS product\nFluency in English\nStrong Plus\nPrevious experience deploying Voice AI agents at scale is a strong plus.\nTerraform or other Infrastructure-as-Code tools\nExperience with real-time streaming or WebSocket-based systems\nBackground in healthcare, medical devices, or regulated industries\nHL7v2 / FHIR knowledge\nExperience with Java / Spring Boot services\nWhat You'll Get\nBe part of a dynamic, mission-driven team shaping the future of healthcare\nCompetitive salary\nComprehensive health insurance\nTop-tier equipment - new MacBook + budget for peripherals\nFlexible schedule and hybrid work model\nDirect impact on patient outcomes - 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