{"id":1267356,"url":"https://alion.io/job/hackertrail-forward-deployed-engineer","title":"Forward Deployed Engineer","company":{"id":2328067,"name":"HackerTrail","domain":"hackertrail.com","url":"https://alion.io/company/hackertrail","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":9000,"max":15000,"currency":"SGD","period":"month","gross":true,"usd_annual":140940},"salary_estimate":null,"experience_years_min":4,"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 EKS","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Hallucination","optional":false},{"name":"IAM","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Reranking","optional":false},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-09-08T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-09-08T00:00:00Z","board_verified":false,"closed_at":null,"days_open":20,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":20},"description":"The Forward Deployed Engineer designs, builds, and deploys production-grade multi-agent systems within regulated enterprise environments.\nThis role is responsible for developing scalable AI applications, retrieval pipelines, orchestration frameworks, APIs, observability tooling, and production infrastructure while working closely with Architects, Delivery teams, and enterprise client stakeholders. The role requires strong hands-on engineering capability, production delivery experience, and a strong understanding of enterprise AI engineering practices. All engineers use AI tools effectively in their daily work. AI assistants and workflow automation tools are expected to improve engineering productivity, testing, debugging, documentation, and delivery execution.\nWhat You Will DoDesign and deliver production-grade multi-agent systems using orchestration frameworks such as LangGraph, LangChain, CrewAI, or equivalent technologies.\nBuild and maintain end-to-end RAG pipelines including chunking strategies, embedding evaluation, retrieval optimization, reranking, and hallucination evaluation.\nDevelop prompt frameworks, role instructions, escalation flows, and guardrail mechanisms for enterprise AI applications.\nImplement production-grade AI guardrails including PII redaction, input sanitization, output validation, adversarial testing, and security controls.\nDesign and deploy AI systems within in-region and in-VPC enterprise environments using AWS services and regulated deployment architectures.\nBuild and maintain FastAPI services, streaming APIs, authentication layers, React-based interfaces, and enterprise integrations.\nDeploy and manage workloads on ECS, EKS, SageMaker, Bedrock, API Gateway, and related AWS infrastructure services.\nImplement CI/CD pipelines, automated testing workflows, infrastructure automation, observability tooling, and production monitoring frameworks.\nDefine and execute testing strategies including unit testing, integration testing, retrieval testing, adversarial testing, and evaluation frameworks.\nContribute to architecture reviews, low-level designs, solution documentation, and technical proposal responses.\nLead technical workstreams within engagements and support junior engineering team members through reviews, debugging, and technical guidance.\nContribute reusable engineering assets including runbooks, prompt libraries, evaluation frameworks, deployment templates, and tooling accelerators.\nWhat you’ll bring\n4 - 6 years of experience in software engineering, AI engineering, cloud engineering, or backend platform development.\nStrong Python engineering capability with experience building production-grade backend systems.\nHands-on experience building AI applications using LLM APIs, RAG systems, orchestration frameworks, or multi-agent workflows.\nExperience with LangGraph, LangChain, CrewAI, or similar agentic AI orchestration frameworks.\nStrong understanding of retrieval systems, embeddings, vector databases, reranking, chunking strategies, and AI evaluation methodologies.\nExperience deploying applications on AWS using services such as Bedrock, SageMaker, ECS/EKS, API Gateway, Cognito, CloudWatch, IAM, Secrets Manager, and related services.\nStrong understanding of DevSecOps practices including CI/CD, infrastructure automation, testing frameworks, observability, and security hygiene.\nFamiliarity with React, Node.js, streaming APIs, and modern web application integration patterns.\nUnderstanding of enterprise AI risks including hallucinations, prompt injection, data leakage, and operational guardrails.\nAbility to work directly with client stakeholders, delivery teams, and architecture teams in enterprise delivery environments.\nStrong debugging, problem-solving, and engineering ownership capability.\nSkills\nSecurity Controls, Multi-Agent Systems, Retrieval-Augmented Generation (RAG), AI Agents, implementing monitoring tools, Agent Orchestration, Pipeline Management, AWS, LangGraph, SageMaker, Model Context Protocol (MCP), Cloud Deployment, API Gateway, LangChain, Infrastructure Automation, LLMs, AI Safety, Escalation Process, CrewAI, FastAPI","description_format":"text","description_chars":4128,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T22:00:00Z"}],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":0.85,"p_active":0.4,"p_room":0.55,"age_days":19,"expected_fill_days":17,"reasons":["seen:19","agency","velocity","win:tail"],"computed_at":"2026-09-27T05:45:00Z"},"pay":{"stated_usd_annual":140940,"is_top_pay":false},"html_url":"https://alion.io/job/hackertrail-forward-deployed-engineer","json_url":"https://alion.io/job/hackertrail-forward-deployed-engineer.json","meta":{"generated_at":"2026-09-28T00:37:53Z","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":178,"day_limit":5000,"remaining_today":4822,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}