ALLSTARSIT

About the Project

The client is looking for a Software Engineer who operates at the intersection of high-scale frontend engineering and cutting-edge Applied AI.

In this role, you won’t just "build UI", you will design and deliver intelligent, cloud-native user experiences for our Maritime Intelligence Agentic platform. Our systems are used by defense agencies, governments, and global enterprises to secure trade and enforce compliance at sea. You will be expected to work autonomously, influence frontend architecture and UX standards, and significantly raise the bar for AI-assisted development within the team.

Required skills:

• A Professional Engineer: You have 7+ years of professional frontend or full-stack engineering experience, including 2+ years of experience building AI-powered products, agentic interfaces, or intelligent workflows in production at scale.
• An AI-Native Engineer: You are excited about agentic development and AI-enhanced user experiences. You are proficient in AI-based development workflows utilizing tools like Claude Code, Cursor, or Copilot in a highly autonomous fashion, and are a strong, independent individual contributor who can work effectively alone or in small, ad-hoc groups.
• Frontend & Cloud Architecture: You have proven experience building modern frontend applications with React, Next.js, TypeScript, GraphQL/REST APIs, and distributed cloud-based architectures. Experience with real-time systems, event-driven architectures, and cloud-native environments is highly valued.

• A Craftsman: You take pride in clean code, thoughtful UX/UI design, frontend performance, accessibility, and production-grade quality. You are accountable, independent, and thrive in ambiguous environments.

   

Technical Requirements

• Frontend Stack (Mandatory): Proven expertise with React.js, Next.js, TypeScript, modern frontend architecture patterns, state management, and component-driven development.
• AI & Agentic Interfaces: Experience integrating AI capabilities into frontend applications, such as conversational UI, AI copilots, streaming responses, or agentic workflows. Experience with frameworks such as LangChain, LangGraph, OpenAI SDKs, Vercel AI SDK, or similar is a strong plus.
• Cloud & Infrastructure: Solid understanding of modern frontend deployment environments, CI/CD pipelines, cloud-native applications, and observability practices. Familiarity with AWS, Kubernetes, Terraform, or serverless environments is a plus.

• Nice to Have: Experience with backend technologies such as Python, Node.js, GraphQL services, or distributed systems.

   

Scope of work:

• Architect & Build: Design and deliver scalable, responsive, and high-performance frontend applications, primarily using React/Next.js, within a distributed system architecture.
• AI Integration: Lead the integration of Generative AI capabilities into frontend experiences, including AI-powered workflows, copilots, conversational interfaces, and real-time intelligence visualization tools.
• Frontend Operations & Observability: Implement monitoring, analytics, performance optimization, and observability practices to ensure reliability, usability, and smooth user experience in production.
• Elevate Engineering: Drive frontend engineering quality and speed by implementing AI-SDLC practices, enforcing high standards through code reviews, component testing, E2E automation, and continuous UX/performance evaluation.
• Mentor & Innovate: Evaluate emerging AI and frontend tooling, mentor fellow engineers, and contribute directly to the evolution of our frontend architecture and technical roadmap.

About the Project

Our client is looking for a Software Engineer who operates at the intersection of high-scale full-stack engineering and cutting-edge Applied AI.

In this role, you won’t just "write code", you will design and ship intelligent, cloud-native systems for our Maritime Intelligence Agentic platform. Our systems are used by defense agencies, governments, and global enterprises to secure trade and enforce compliance at sea. You will be expected to work autonomously, influence our core architecture, and significantly raise the bar for AI-assisted development within the team.
 

Required skills:

● A Professional Engineer: You have 7+ years of professional full-stack or backend engineering experience, including 2+ years of experience building agents or agentic workflows in production at scale within a distributed system architecture.

● An AI-Native Engineer: You are excited about agentic development and agent-based operations. You are proficient in high-scale AI-based development, utilizing tools like Claude Code, Cursor, or Copilot in a highly autonomous fashion, and are a strong, independent individual contributor who can work effectively alone or in small, ad-hoc groups.

● Distributed & Cloud Architecture: You have proven experience with GraphQL or REST and designing scalable, cloud-based distributed architectures, including event-driven patterns. You are comfortable with AWS (K8S, Serverless, Event-driven), messaging (SQS, SNS) and databases (PostgreSQL, DynamoDB, MongoDB).

Experience with Vector DBs is a plus.

● A Craftsman: You take pride in clean code, thoughtful design, and production-grade security, operations and observability. You are accountable, independent, and thrive in ambiguous environments.

Technical Requirements

● Agentic Frameworks (Mandatory): Proven expertise building autonomous agentic systems using frameworks such as LangChain, LangGraph, DeepAgents, CrewAI, OpenClaw, or Hermes (or able to demonstrate equivalent expertise on another relevant framework).

● Backend Languages: Fluent in Python (preferred) or TypeScript/Go/Rust, with proficiency in transitioning to Python.

● Infrastructure & IaC: A solid background with the AWS stack, including Kubernetes (K8S), Terraform (IaC), and CI/CD is essential (Helm is a strong plus).

● Nice to Have: Experience with frontend stack (NextJS, React.js, or similar)

Scope of work:

● Architect & Build: Design and deliver agentic workflows and scalable microservices, primarily using Python, within a distributed system architecture.

● AI Integration: Lead the integration of Generative AI capabilities, including LLM APIs, RAG pipelines, and agentic workflows into our production systems.

● Agentic Operations & Observability: Implement operational practices, observability, and autonomous monitors (e.g., detecting intelligence drift or hallucinations) to ensure AI reliability in production.

● Elevate Engineering: Drive overall engineering quality and speed by implementing AI-SDLC practices, ensuring high standards through rigorous code reviews, testautomation, and by establishing continuous, trace-based quality evaluation for all software and agentic components.

● Mentor & Innovate: Evaluate emerging AI tooling, mentor fellow engineers, andcontribute directly to our technical roadmap.

Our client helps enterprises simplify network complexity. As a leading Network Security Posture Management platform, the company provides a unified control plane for modern hybrid networks spanning on-premises, cloud, SASE, microsegmentation, and multi-vendor environments. Trusted by thousands of organizations worldwide, the platform delivers continuous risk visibility, reduces exposure through policy-driven automation, and enables continuous compliance and audit readiness at scale.
 

Required skills:

• Experience with Linux server operations and virtualization or network/security systems
• Core requirements: Kubernetes, Linux, Networking, Strong troubleshooting skills and the ability to work independently (minimal supervision), Cloud systems experience
• Experience working with Kubernetes and complementary services
• Prior customer-facing experience in a technical or support role
• Strong understanding of networking fundamentals and internet technologies (routing, NAT, advanced TCP/IP, etc.)
• Excellent verbal and written communication skills, with strong analytical and critical-thinking abilities
• Hands-on experience with firewall administration and configuration (e.g. Check Point, Palo Alto, Cisco, Juniper, Fortinet)
• Scripting skills (Perl, Python, Bash) are a plus
• High sense of ownership, reliability, and accountability
   

As a Technical Support Engineer – Tier 3, you will:

• Provide technical support to global customers and partners using multiple communication channels
• Troubleshoot issues to full resolution across the client’s platform and underlying operating systems
• Own and manage your ticket queue, maintaining clear and proactive communication with customers
• Act as a liaison between customers and internal technical teams
• Support implementation and integration of the client’s solutions within customer environments
• Contribute to documenting best practices for maintaining and operating the platform
• Build a deep understanding of customer infrastructures and technical setups

Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide. 

Key Responsibilities:

• Prospect and engage target accounts via email, phone, and social channels
• Generate qualified meetings and sales opportunities
• Identify key stakeholders within enterprise organizations
• Manage outreach activities using Salesforce
• Collaborate with Sales & Marketing to improve messaging and conversion

Nice to have:

• Previous experience in SaaS  
• Familiarity with CRM tools \(e.g., Salesforce\) 

About the client

Our client is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Their API-first, developer-first platform turns complex data into faster, smarter, actionable decision

As a Solutions Engineer, you will be a key technical partner to our Account Executives, helping
to prove the value during the sales cycle. You will lead technical discovery, design and deliver compelling proofs of concept, and act as a trusted advisor to customers evaluating our AI-powered embedded analytics platform.
This is a high-impact, customer-facing role where you will combine deep technical expertise with strong business acumen to drive successful sales outcomes.

Key Responsibilities

• Work closely with Account Executives throughout the deal cycle to demonstrate the
  technical value.
• Lead technical and business-focused discovery sessions to qualify opportunities and
  uncover customer needs.
• Build, own, and deliver high-quality Proofs of Concept (PoCs) using the internal platform, including dashboards, data modeling, embedding (React/JS SDKs), and REST APIs.
• Collaborate with internal teams (Customer Success, Services, Product, Engineering) to
  ensure smooth opportunity progression and successful handoff to post-sales.
• Contribute to internal knowledge sharing, best practices, and enablement for the broader Sales and Solutions Engineering teams.
• Stay current with analytics, AI, and embedded technology trends to provide strategic technical guidance.

Requirements

• 5+ years of experience in a technical, customer-facing role (Sales Engineering,
  Professional Services, Technical Account Management, or similar).
• Strong ability to communicate complex technical concepts clearly to both technical and
  non-technical audiences.
• Hands-on experience with SQL and modern analytics/BI platforms, data warehouses,
  and ETL tools
• Proficiency with JavaScript or a JavaScript framework (React/Angular/Vue ); experience
  with embedding solutions is a strong plus.
• Solid understanding of data analytics, BI, and modern data platforms.
• Experience with cloud solutions and SaaS environments.
• Ability to work independently while knowing when to escalate or pull in resources.
• Fluent English.
• Comfortable working in a fast-paced, remote environment with occasional early morning
  calls.
  
  Nice to Have
• Experience with Python or other server-side languages.
• Background in embedded analytics, AI/ML, or developer platforms.
• Previous exposure to sales processes and value-based selling