Full Stack Engineer

Company Overview

Vinova is an award-winning development company specializing in mobile, web, and enterprise applications. Since 2010, it has delivered global projects in IoT, blockchain, fintech, networking, and ecommerce, focusing on quality, flexibility, and speed.

Job Summary

You will lead the design and delivery of AI-enabled backend applications, collaborating closely with business units to build scalable, secure, and maintainable solutions that drive measurable outcomes.

Responsibilities

• Embed with business units to analyze operational workflows, identify pain points, and translate needs into prioritized use cases, user stories, and measurable success criteria.
• Facilitate discovery sessions to challenge assumptions and shape solution designs aligned with business goals.
• Rapidly prototype AI-enabled applications and workflows, validate with users, and iterate to balance speed with maintainability.
• Design and implement reliable AI workflows and agents using Python-based frameworks and orchestration tools such as LangGraph, LangChain, or n8n, integrating deterministic steps, LLM reasoning, tool calling, state management, human approvals, and exception handling.
• Develop custom backend services, APIs, integrations, authentication, workflow logic, and lightweight user interfaces tailored to business use cases.
• Design and build robust data ingestion, transformation, and retrieval pipelines integrating enterprise systems, databases, document repositories, APIs, and search/vector services while ensuring data quality, lineage, and access controls.
• Engineer secure, scalable backend services and relational data models using Python, FastAPI, and PostgreSQL; diagnose and resolve complex integration, performance, and state-management issues.
• Define AI solution evaluation datasets and acceptance criteria; test quality, reliability, latency, cost, and tool-call success; implement tracing and monitoring; and continuously improve prompts, retrieval, workflows, and safeguards.
• Apply secure engineering practices including least-privilege access, data protection, prompt-injection defenses, output controls, auditability, and human oversight in compliance with government policies and risk profiles.
• Manage production readiness, testing, rollout, documentation, user enablement, support, and knowledge transfer; track adoption and business outcomes; and incorporate field learnings into reusable patterns and platform improvements.

Required competencies and certifications

• 5+ years of software engineering experience.
• Strong proficiency in Python or another modern backend language.
• Strong experience with relational databases, preferably PostgreSQL.
• Hands-on experience building LLM-enabled applications, RAG solutions, tool-calling agents, or automated workflows using frameworks such as LangGraph, LangChain, LlamaIndex, n8n, or equivalent.
• Practical experience deploying and operating cloud-native applications.

Preferred competencies and qualifications

• Familiarity with AWS and services such as Bedrock and OpenSearch.
• Experience in consulting delivery, solutions engineering, internal product delivery, or roles involving direct collaboration with users and end-to-end implementation.
• Experience with visual workflow builders such as n8n or Flowise, including custom nodes, integrations, credential handling, and operational support.
• Experience with LLM evaluation, tracing, observability, red-teaming, or quality assurance tools and methods.
• Experience delivering applications subject to stringent data privacy, cybersecurity, accessibility, or government requirements, including IM8 policies.

Skills

Data Ingestion, Generative AI Application Development and Deployment, AI Agents, LangGraph, Cost Management, User Stories, Quality Testing, Application Interfaces, Transformation, AI Evaluation, LangChain, Solution Design, Authentication, Back-End Databases, FastAPI, Operational Workflow