{"id":921231,"url":"https://alion.io/job/rightship-systems-agentic-engineer","title":"Systems Agentic Engineer","company":{"id":689340,"name":"Rightship","domain":"rightship.com","url":"https://alion.io/company/rightship","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hanoi, Vietnam"],"countries":["VN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":59000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":886},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"Delta Lake","optional":false},{"name":"Function Calling","optional":false},{"name":"LangChain","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SigNoz","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"Weaviate","optional":false}],"status":"live","first_seen_at":"2026-07-24T01:35:36Z","employer_posted_date":"2026-07-24","last_verified_at":"2026-09-28T22:57:56Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":66},"description":"The Company \nRightShip is the maritime industry's leading safety and risk intelligence platform. We exist to advance the vision of a Zero Harm maritime industry by enabling better safety decisions across the ecosystem.\nBy combining trusted standards, AI-native technology, rich maritime data and industry expertise, RightShip transforms complex safety and operational risk into intelligence our customers can act on with confidence.\nMore than 1,000 organisations worldwide rely on RightShip to strengthen safety, improve resilience, simplify compliance and raise standards across global shipping. As RightShip evolves into a scalable intelligence platform, we continue to connect the global supply chain around a shared ambition: safer people, safer vessels and a safer, more sustainable industry.\nTo find out more visit RightShip.com. \nWhat we offer \nWe offer a place where you know you are contributing to an organization who are constantly working to ensure ships are safe as possible so that crew and cargo are protected. We are passionate about maritime efficiency, safety and sustainability practices. \nWe offer generous rewards. Our base salary is competitive, we support employee wellbeing and provide our employees with a Healthy Living Allowance and our annual incentive scheme is awesome. We have some great talent who are happy to share their experience and skills to help you on your way and we are committed to professional development to make sure your career keeps growing while you’re working with us.\nWhat makes RightShip a great place to work at:\nRightShip is an equal opportunity employer, and we champion diversity. Our teams are composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities, and generations. We believe that a diversity of experiences makes us stronger-as individuals, as communities and as an organization.\nDon’t meet every single requirement of this role? Still apply! Research tells us that that women and underrepresented groups are less likely to apply unless they meet every single requirement. At RightShip we believe that the right hire is someone who makes an addition to our culture, rather than someone who fits in and conforms to our status quo. We want to add team members who not only value RightShip standards and workplace culture, but also bring an aspect of diversity that positively contributes to our work environment. If you are excited about this role, or about our company in general, we would love to hear from you!\nRightShip's engineering organisation is at an inflection point. We are moving from a team that uses AI as a productivity aid into one where agentic and autonomous systems do real delivery work, reviewed and directed by engineers who act as orchestrators. This role is the architect and engine of that shift. The Systems Agentic Engineer will build and own the backbone that makes it real: the frameworks, the integrations, the standards, the internal tooling, and the agent catalogue that, together, turn a collection of AI-assisted individuals into a genuinely AI-native engineering organisation. If you want to define what modern engineering looks like at a company committed to being world-class at it, this is that role.\nThe scope goes beyond individual agents. This role owns the transformation of our full software delivery lifecycle, codifying AI-first practices at every stage from grooming through to release. It also leads the formation of RightShip's Internal Developer Platform (IDP): the shared infrastructure, tooling, and automation pipelines that make every squad faster and more capable. That includes infrastructure operations pipelines that reduce manual toil at the platform level. The person in this role will not just build agents; they will architect the delivery system the whole engineering organisation runs on.\nMajor Responsibilities\nDesign, build and operate multi-step agentic pipelines that create virtual delivery capacity, surfacing work for engineers to review, accept, or reject.\nBuild and maintain the agent types that make up RightShip's virtual delivery team, including but not limited to: developer agent, security review agent, regression test-plan agent, grooming agent, and criteria cross-check agent, and expand the catalogue as new automation opportunities are identified.\nDevelop AI-powered product features and tooling in Python, contributing directly to the build alongside squads rather than purely in an advisory or enablement capacity.\nEvaluate every workflow step and make an explicit decision about whether it calls for deterministic logic (rules, conditions, structured code) or a non-deterministic AI model, documenting the rationale so the team can audit and improve it over time.\nIntegrate AI-first automation into the full SDLC: code generation and review, test-case creation, PR triage, dependency management, release notes, and incident summarisation.\nAct as an enabler across engineering squads, partnering with engineers and squad leads to help each team identify, scope, and own their own agentic workflows with the right guidance and tooling.\nDevelop and share evaluation patterns, reference implementations, and best-practice guardrails that individual engineers and squads can adopt and adapt, keeping ownership of agents with the teams that run them.\nEvaluate and onboard orchestration frameworks (such as LangChain, AutoGen, or the Claude Agent SDK) and make principled tool-selection decisions that the broader engineering organisation can build on.\nOwn AI cost efficiency across the agentic squad, monitoring token usage, model selection, caching strategies, and prompt optimisation to ensure RightShip gets maximum value from its AI investment without unnecessary spend.\nCoach the engineering team on agentic patterns, prompt engineering, and when not to use AI, building capability and confidence across the organisation as adoption grows.\nQualifications, Skills & Experience\nMaster's or Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or an equivalent discipline.\n10+ years of experience as a software engineer, with at least 2 years working directly with LLMs or AI-powered systems in a production context.\nProven ability to distinguish deterministic from non-deterministic workflow steps, knowing when to use structured code versus an AI model, and to explain those decisions clearly to both engineers and non-technical stakeholders.\nHands-on experience building and operating agentic or multi-step AI pipelines in production, using frameworks such as LangChain, AutoGen, CrewAI, the Claude Agent SDK, or comparable tooling.\nStrong proficiency in Python for AI and product development.\nDeep practical knowledge of prompt engineering, tool/function calling, retrieval-augmented generation (RAG), and structured output patterns.\nExperience integrating AI-powered automation into SDLC workflows, including code review bots, test generation, PR triage, CI/CD triggers, and similar.\nFamiliarity with orchestration and evaluation tooling; able to measure, monitor, and improve agent output quality over time.\nExperience with cloud platforms, preferably Azure; able to reason about inference cost, latency, and reliability trade-offs.\nFamiliarity with vector databases (e.g. Azure AI Search, Pinecone, Weaviate) and embedding pipelines.\nStrong analytical and communication skills; able to operate with autonomy in a fast-moving, globally distributed team and bring clarity to ambiguous problems.\nGenuine passion for building systems that reduce toil, extend engineering capacity, and keep humans meaningfully in control.\nTech Stack\nThe Systems Agentic Engineer operates across the engineering organisation and is expected to be largely stack-agnostic. The value is in the agentic and AI expertise, not deep knowledge of any specific language or framework. The following is provided as context so candidates understand the environment they will be working within:\n\nTitle\n\nPurpose of contact\n\nCloud & Infrastructure\n\nMicrosoft Azure (App Services, Service Bus, Key Vault, AI Search)\n\nLanguages & Frameworks\n\nPython (primary for AI/agentic work); squads work across C# / .NET and TypeScript\n\nData & Analytics\n\nDatabricks, Azure SQL, Delta Lake\n\nAI & Agentic Tooling\n\nClaude (Anthropic), LangChain, AutoGen\n\nObservability\n\nDatadog, SigNoz\n\nRightShip is an Equal Opportunity Employer and values diversity, enables access and promotes inclusion in our workplace. 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