{"id":1562496,"url":"https://alion.io/job/appnovation-agentcore-platform-engineer","title":"AgentCore Platform Engineer","company":{"id":58181,"name":"Appnovation","domain":"appnovation.com","url":"https://alion.io/company/appnovation","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":85,"open_postings":5,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-10-01T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":125000,"max_usd":243000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1020},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Function Calling","optional":false},{"name":"IAM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"Amazon S3","optional":true},{"name":"Apex","optional":true},{"name":"API Gateway","optional":true},{"name":"AWS Strands Agents","optional":true},{"name":"CrewAI","optional":true},{"name":"DynamoDB","optional":true},{"name":"Kong","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"LLM","optional":true},{"name":"MuleSoft","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"OpenAI Agents SDK","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-09-30T19:55:51Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-01T04:42:20Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About us\nAppnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services. We build digital solutions that deliver real impact today and serve as foundations for future growth. Bold ambition. Practical action. Endless possibilities.\nWe’re hiring AgentCore Platform Engineers to build the agent-facing layer of the platform. That covers how agents run, remember and work together, and how they safely reach the internal systems the business already runs on. Each engineer will have a main focus in one of the two areas below and work closely across both. What you build becomes the template other teams copy, so quality and clarity matter as much as speed. This is a named-team engagement, so the person we propose is the person who starts.\nWe know production experience with Bedrock AgentCore is rare. We care more about strong AWS fundamentals and real hands-on work with agent frameworks than about whether you’ve used AgentCore by name. If that’s you, please apply.\nFOCUS AREAS\nAgent Runtime & Orchestration: Build runtime patterns, memory strategies, orchestration and multi-agent handoffs, and the reference implementations other teams copy.\nGateway, Tools & Integrations: Turn internal APIs, Lambdas and legacy systems into governed tools through AgentCore Gateway, including MCP server development.\nROLE RESPONSIBILITIES\nRuntime Patterns: Define how agents are structured, packaged and run on AgentCore Runtime, including sessions, state, error handling and timeouts.\nMemory Strategies: Design short-term and long-term memory patterns using AgentCore Memory, and guide teams on when to use which.\nOrchestration and Multi-Agent Handoffs: Build patterns for planning, tool use, supervisor/worker setups and handoffs between agents, with clear boundaries and fallbacks.\nTool Onboarding: Expose internal REST APIs, Lambda functions and legacy services as agent tools through AgentCore Gateway, using OpenAPI specs and Lambda targets.\n MCP Server Development: Design and build Model Context Protocol (MCP) servers for systems that need custom integration, with clean tool definitions and schemas.\n Governance and Access: Set up authentication and authorization for agents and tools (AgentCore Identity, OAuth, IAM) so agents only reach what they’re allowed to.\nLegacy Integration: Work with system owners to wrap older or on-premises systems safely, handling rate limits, data mapping and error cases.\nReference Implementations and Standards: Build production-quality reference agents, starter kits and a repeatable process for adding, versioning and reviewing tools.\nEvaluation and Guardrails: Build in evaluation, Bedrock Guardrails, contract tests and safety checks so agents and tools behave predictably before going live.\n Enablement: Run walkthroughs, write docs and support the teams onboarding to the platform.\nQUALIFICATIONS\n5+ years of software engineering experience, with strong Python (TypeScript is a plus).\nHands-on experience building LLM agents with at least one agent framework (e.g., Strands Agents, LangGraph, LangChain, CrewAI, OpenAI Agents SDK, LlamaIndex).\nPractical experience with LLM tool/function calling and handling model output.\nStrong AWS fundamentals: IAM, Lambda, API Gateway, containers, DynamoDB/S3, VPC connectivity and Secrets Manager.\nExperience designing and consuming REST APIs and OpenAPI specs, and auth patterns such as OAuth 2.0 and OIDC.\nUnderstanding of agent memory, retrieval (RAG) and context management trade-offs.\nDeep hands-on strength in at least one of the two focus areas, and working knowledge of the other.\nClean, well-tested code that other engineers will read and reuse.\nClear communication and comfortable teaching patterns to other teams.\nPREFERRED QUALIFICATIONS\nHands-on experience with Amazon Bedrock AgentCore (Runtime, Memory, Gateway, Identity). A strong plus, but not required.\nExperience building or running MCP servers in a real environment.\nExperience with multi-agent systems in production, including observability and failure handling.\nExperience integrating with enterprise or legacy systems, or with API management platforms (e.g., MuleSoft, Apigee, Kong).\nExperience with LLM evaluation tools and approaches.\nExperience in pharma, life sciences or another regulated industry with data access controls.\nWHO YOU ARE\nYou’ve built agents that actually work, and you know where they tend to break\nYou care about patterns other people can copy, not just clever one-offs\nYou think about security and access control before anything goes live\nYou pick up new AWS services quickly and learn by building\nYou’re honest about what agents can and can’t do today\nYou work well inside a client team and enjoy helping other engineers succeed\nYou have prior experience in consulting\nPrior experience and connections in the Life Sciences industry is preferred\nThank you for your interest in a career with Appnovation Technologies! Please note that only those selected for an interview will be contacted.\nAt Appnovation, we recognize that diverse teams are the strongest teams. Diversity, Equity & Inclusion is not only something that we embrace - we celebrate it! We are proud to be an Equal Opportunity Employer and we encourage applicants from all backgrounds, lived experiences and industries to apply. Come join us at Appnovation, and learn more about how we stay true to our company values as we build better lives through better digital. \n\nAccommodations are available upon request throughout the recruitment process.","description_format":"text","description_chars":5550,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Web Design","Web Development Services","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-01T04:42:20Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":10,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/appnovation-agentcore-platform-engineer","json_url":"https://alion.io/job/appnovation-agentcore-platform-engineer.json","meta":{"generated_at":"2026-10-01T19:14:38Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1729,"day_limit":5000,"remaining_today":3271,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}