AgileEngine is an Inc. **** company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries.
We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.WHY JOIN USIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLEWe are looking for an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation.The mandatory requirements are 4+ years of software engineering experience on public cloud infrastructure, 2+ years with cloud deployment pipelines and Infrastructure as Code, 2+ years developing agentic models using RAG and vector databases, and the ability to partner with globally distributed engineering teams.MUST HAVES4+ years of software engineering experience developing applications and services hosted on public cloud infrastructure.2+ years of experience with cloud infrastructure deployment pipelines and infrastructure as code (IaC).2+ years of experience developing Agentic models (e.g., OpenAI, Anthropic) using Retrieval-Augmented Generation (RAG) and Vector databases.Proven capability to partner with globally distributed inter-disciplinary engineering teams.NICE TO HAVESHands‐on experience with modern AI orchestration frameworks (LangChain, LangGraph).
Hands‐on experience writing Rego policies (Open Policy Agent) or Regula test cases.Hands‐on experience with Terraform.Familiarity with cloud‐native security services in Amazon Web Services, Azure, and Google Cloud Platform.Familiarity with PagerDuty, Atlassian Suite, and Service Now.WHAT YOU WILL DOAI Acceleration: implement generative AI workflows utilizing RAG, vector databases, and LLM APIs to automate the creation of cloud configuration baselines.Cloud Security Automation: develop AI‐enabled drift detection, continuous discovery, and gap analysis capabilities to accelerate response and remediation activities.Policy & Infrastructure as Code (IaC): generate and validate compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules),



and Regula test cases for CI/CD pipelines.PERKS AND BENEFITSProfessional growth : mentorship, TechTalks, and personalized growth roadmaps.Competitive compensation : USD‐based pay with education, fitness, and team activity budgets.Exciting projects : modern solutions with Fortune 500 and top product companies.Flextime : flexible schedule with remote and office options.Spoiler: This is where your next big move begins.What this Journey Looks LikeAt Pearster, we are hiring an AI Engineer to join our team.
This is a 100% remote position where you will be responsible for designing, building, and implementing AI‐powered solutions that solve real business challenges and create meaningful impact.You(bounces, FBL spikes) away from prime Tier-1 IP pools.
Blocklist Remediation: Act as the primary responder to major DNSBL (e.g., Spamhaus ) listings.
Leverage log analysis to locate the root cause account, plug the security leak, and submit expert delisting requests.
4. Observability & Monitoring
Log Shipping Architecture: Build and manage high-performance log aggregation pipelines using Vector to ship system and MTA data into a centralized repository for real-time auditing and incident response.
Network Auditing: Utilize IPAudit and custom tools to continuously scan for bandwidth anomalies, connection spikes, or compromised user credentials.
Dashboard Management: Actively monitor ISP infrastructure portals daily (Google Postmaster Tools , Microsoft SNDS , Yahoo Sender Hub ) along with third-party tracking tools (GlockApps , Validity/ReturnPath , MXToolbox , DMARCian ).
Requirements
Must-Have Technical Stack & Skills
Systems Engineering Background: 5+ years of experience as a Linux Systems Administrator, DevOps,



or Infrastructure Engineer with deep networking knowledge (TCP/IP, routing, ports, DNS management).
MTA Mastery: Expert-level proficiency configuring, debugging, and optimizing enterprise mail tools such as Postfix , Dovecot , or Postal.
Security & Filtering: Hands-on experience writing rules and maintaining mail-filtering/anti-abuse applications like Rspamd and Fail2Ban.
Observability Pipelines: Proven experience building or maintaining log pipelines using Vector or similar high-scale telemetry frameworks.
Infrastructure Automation: Experience implementing network routing layer tools (HAProxy , FRRouting ) and relational databases (PostgreSQL replication).
Certificate Management: Strong familiarity with automated SSL/TLS certificate rotation and multi-node compliance monitoring to ensure broken TLS never causes silent drops.
Deliverability & Operational Standards
Deep comprehension of the difference between Delivery (server handoff) and Deliverability (inbox placement).
Expert parsing of aggregate DMARC reports using platforms like DMARCian, Valimail, or Postmark.
Strict commitment to Acceptable Use Policies (AUP): zero tolerance for purchased/scraped lists and a firm grasp on Feedback Loop (FBL) automated triage.
Key Performance Indicators (KPIs)
Your success in this role will be directly measured by your ability to keep our infrastructure metrics pristine:
Integral Infrastructure Spam Complaint Rate: Maintained strictly under 0.1%.
Global Hard Bounce Rate: Kept consistently below 2.0%.
Infrastructure Uptime: *****% availability across all outbound MTAs and mail relays.
Incident Isolation Time: Transitioning high-risk or abusive senders to the "Penalty Box" or circuit-breaking campaigns within minutes of a threshold breach.
Benefits
This is a highly technical systems engineering role, not a marketing or email campaign management position.
To be considered, you must have hands-on experience configuring Linux mail servers at the command-line level.
Please confirm upon applying that the compensation range of $24,000 to $36,000 USD per year aligns with your expectations.
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