Junior Ai-driven Full-stack Engineer
VegaH
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Benefits offered by this job
Job summary
Qualifications
- Early-career engineer or recent graduate in relevant fields.
- Strong GitHub presence demonstrating original projects.
- Practical experience with AI-assisted development tools.
- Working knowledge of LLMs and open-source AI models.
- Ability to work independently with a builder mindset.
Responsibilities
- Build and iterate on AI-powered SaaS and internal platforms.
- Design and implement agentic AI workflows using orchestration frameworks.
- Integrate and fine-tune open-source LLMs.
- Develop scalable backend services and modern frontends.
- Implement real-time and data-intensive pipelines.
- Deploy, monitor, and scale applications on Kubernetes.
Skills
Education
Tools
Job description
Location: Remote (Preferred overlap with CST business hours: 8:00 AM – 2:00 PM CST) Employment Type: Junior-level role (Contract-to-Hire / Full-Time based on performance) Experience Level: Early-career / Junior
Vegah LLC is an AI-first technology and transformation partner helping organizations modernize, scale, and innovate through cutting-edge engineering. Our capabilities span:
- Business & Digital Transformation
- ERP Advisory & Implementations (SAP, Salesforce, Oracle, ServiceNow)
- Multi-Cloud & Platform Engineering (AWS, Azure, GCP)
- AI/ML Systems, Agentic AI & Data Engineering
- Custom Software, SaaS Platforms & Mobile Applications
- DevOps, Automation & Technology Lifecycle Management
We work with forward-thinking clients to turn complex problems into production-ready solutions.
We are seeking a Junior AI-Driven Full-Stack Engineer who is hands-on, execution-focused, and comfortable building real systems—not demos. This role is ideal for early-career engineers who already ship projects, leverage AI-assisted development, and want exposure to modern AI architectures, agent workflows, and scalable cloud systems.
This is not a training-only role. You will be expected to build, iterate, and contribute to production-grade solutions with a high level of autonomy.
- Build and iterate on AI-powered SaaS and internal platforms using AI-assisted development tools.
- Design and implement agentic AI workflows using LangGraph, MCP, or equivalent orchestration frameworks.
- Integrate and fine-tune open-source LLMs (DeepSeek, Qwen, Llama 3, Phi-3, FinGPT).
- Develop scalable backend services (Node.js, Python) and modern frontends (React.js, Tailwind CSS, Next.js).
- Implement real-time and data-intensive pipelines using Kafka, Redis Streams, vector databases (e.g., Weaviate).
- Deploy, monitor, and scale applications using Docker and Kubernetes-based infrastructure.
- Leverage AI coding tools (Cursor, Windsurf, Lovable, Bolt, Replit) to accelerate development responsibly.
- Proactively research emerging tools and architectures to improve system efficiency and delivery speed.
- Early-career engineer or recent graduate in Computer Science, AI/ML, or related field — or equivalent hands‑on experience.
- Strong GitHub presence demonstrating original projects (AI agents, LLM integrations, SaaS apps, automation, or production‑grade systems).
- Practical experience with AI‑assisted development tools (Cursor, Windsurf, Lovable, Bolt, Replit).
- Working knowledge of LLMs and open‑source AI models.
- Experience across backend (Node.js and/or Python) and frontend (React.js, Tailwind CSS, Next.js).
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized workflows.
- Ability to work independently, manage tasks, and deliver without constant supervision.
- Builder mindset — you ship, iterate, and improve continuously.
- Experience with LangGraph, MCP, AutoGen, or similar agent frameworks.
- Exposure to Kafka, Redis Streams, vector databases, or real‑time systems.
- Prior work on multi‑tenant SaaS or AI‑driven products.
- Hands‑on ownership of real‑world AI systems and applications.
- Mentorship from senior engineers and AI architects.
- Exposure to production AI, agentic workflows, and cloud‑scale systems.
- Clear growth path into a full‑time, long‑term engineering role.
- Competitive compensation aligned with impact and performance.
The role is not for resume padding. We are looking for engineers who want to build, experiment, and deliver real solutions.
The role begins with a short evaluation period focused on real‑world execution and delivery. High‑performing candidates will transition into a fully paid engagement.
Exception: Candidates who can clearly demonstrate immediate, production‑level impact from Day 1 may be onboarded directly into a paid role.
- Resume
- GitHub profile (required) — applications without demonstrable code samples will not be considered.
- Brief description of 2–3 projects where you used AI, LLMs, or automation to build real functionality.
- Shortlisted candidates may be asked to complete a practical task aligned with our tech stack.
🔷 Join Vegah LLC and help shape the next generation of AI‑driven software systems.
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