Senior Full-Stack Engineer

Senior Full-Stack Engineer

Level

Senior

Department

Development

Type

Full Time

Project

NDA

Locations

New Delhi

India

Job Details

Posted on

April 22, 2026

About the Company

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.

With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.

About the Project

We are looking for a Senior Software Engineer who operates at the intersection of full-stack engineering and applied AI. You will design and ship intelligent, cloud-native systems for Windward's maritime intelligence platform — used by defence agencies, governments, and global enterprises to secure trade and enforce compliance at sea. You work autonomously, influence architecture, and raise the bar for those around you.

Required skills

TECHNICAL REQUIREMENTS

Generative AI & Agentic Development ✦ Core Requirement

This is not a nice-to-have. We expect this engineer to code primarily through agentic AI tools, move faster because of them, and bring a structured, production-grade approach to AI-assisted development — not ad-hoc prompting.

• Fluent daily use of an AI-assisted coding environment — Claude Code is strongly preferred; Cursor or GitHub Copilot are equally considered.
• Proven ability to structure a robust, project-level agentic development environment, including:
• Project instruction files (e.g. CLAUDE.md) that encode architecture decisions, conventions, and constraints the agent must respect.
• Custom reusable skills and tools that extend agent capabilities for repeatable tasks.
• Rule sets and guardrails that enforce code quality, security standards, and team conventions automatically.
• Context and memory management — structuring prompts, sessions, and handoffs so agents remain accurate across long tasks.
• Multi-agent orchestration — decomposing complex engineering tasks across coordinated agent pipelines.
• Experience building production RAG pipelines, embedding workflows, or autonomous agentic systems.
• Hands-on LLM API integration — Anthropic, OpenAI, or equivalent — with strong prompt engineering discipline.
• Critical evaluation of AI-generated output for correctness, security, and long-term maintainability.

Backend & APIs

• Fluency in at least two of: Node.js, Python, Java — in production services.
• Deep GraphQL experience: schema-first design, resolver patterns, and federation.
• Strong grasp of event-driven and async architectures; OAuth 2.0 / JWT security standards.

Frontend

• Advanced React.js — performance optimisation, scalable state management, component architecture.
• Micro-frontend architecture experience with Module Federation or equivalent.

Data & Cloud

• MongoDB (aggregation, indexing), relational databases, and full-text / semantic search.
• Cloud-native engineering on AWS or equivalent: compute, messaging, storage, observability, and IAM.
• Serverless and event-driven patterns; security-first mindset across all infrastructure decisions.

Delivery & Practices

• CI/CD pipelines with any modern tooling; container-native Docker workflow.
• Automated testing at all levels and structured observability practices.

NICE TO HAVE

• Kubernetes, Helm, and Terraform experience.
• Vector databases or embedding-based search for semantic retrieval.
• GraphQL Federation across independently deployable services.
• Open-source contributions in AI, developer tooling, or cloud engineering.

Scope of work:

• Design and deliver scalable microservices and micro-frontend applications across the full stack.
• Integrate Generative AI capabilities — LLM APIs, RAG pipelines, and agentic workflows — into production systems.
• Own GraphQL API design, cloud infrastructure, and CI/CD pipelines end-to-end.
• Drive code quality through reviews, test automation, and observability standards.