Senior Full Stack Developer

Role Overview

We are seeking an experienced Senior Full Stack Developer / Technical Lead with strong expertise in Python-based backend engineering, Angular and TypeScript frontend development, and the design and implementation of AI/LLM-powered enterprise applications.

The candidate will lead technical design and implementation, establish engineering standards, mentor developers, and drive end-to-end solution delivery. The role requires a balance of hands-on coding, architecture, technical decision-making, stakeholder engagement, and delivery leadership.

The ideal candidate can translate complex business requirements into scalable technical solutions, guide teams through the software development lifecycle, and ensure that AI-enabled applications meet enterprise requirements for security, reliability, performance, and maintainability.

Key Responsibilities

Technical Leadership and Architecture

• Own the technical architecture and design of full-stack applications using Python, Angular, and TypeScript.
• Define scalable backend services, API contracts, frontend architecture, integration patterns, and data models.
• Establish coding standards, design principles, reusable components, and engineering best practices.
• Evaluate frameworks, tools, and architectural approaches based on business requirements, scalability, security, and maintainability.
• Lead technical discussions, design reviews, code reviews, and engineering problem-solving sessions.
• Identify technical risks, dependencies, performance bottlenecks, and opportunities for modernization.

Backend and Frontend Engineering

• Lead the development of backend services, microservices, and REST APIs using Python and frameworks such as FastAPI, Flask, or Django.
• Guide the development of modular, scalable frontend applications using Angular, TypeScript, HTML5, and CSS.
• Oversee database design, data access patterns, API integrations, authentication, authorization, and error handling.
• Ensure code quality through automated testing, peer reviews, static analysis, and continuous integration.
• Remain hands-on with critical development tasks, complex integrations, prototypes, and production issue resolution.

AI and LLM Solution Engineering

• Design and implement enterprise AI/LLM solutions using commercial or open-source foundation models.
• Define architectures for RAG, embeddings, vector search, document processing, and context retrieval.
• Design LLM-powered workflows, tool/function calling, and agentic AI patterns where justified by the use case.
• Evaluate orchestration frameworks such as LangChain or LlamaIndex and select suitable approaches based on solution needs.
• Establish practices for prompt versioning, model evaluation, output validation, observability, and regression testing.
• Address AI-specific risks, including hallucinations, prompt injection, sensitive-data exposure, and inconsistent model outputs.
• Define appropriate human-in-the-loop controls, fallback mechanisms, and escalation paths for business-critical workflows.
• Assess model quality, latency, token consumption, and operational costs to optimize solution performance and total cost of ownership.

Team Leadership and Delivery

• Lead, mentor, and develop a team of full-stack developers and AI engineers.
• Break down requirements into technical tasks, estimate effort, assign work, and monitor delivery progress.
• Drive sprint planning, technical execution, dependency management, and resolution of delivery blockers.
• Collaborate with product owners, business stakeholders, architects, QA, DevOps, and security teams.
• Communicate technical decisions, delivery risks, progress, and mitigation plans to stakeholders.
• Ensure solutions meet agreed acceptance criteria, delivery timelines, quality standards, and operational readiness.
• Promote knowledge sharing, engineering productivity, reusable assets, and continuous improvement.

Cloud, DevOps and Production Readiness

• Guide containerization, CI/CD, automated testing, and deployment practices.
• Oversee cloud-native application deployment across AWS, Azure, or GCP.
• Ensure appropriate application monitoring, logging, distributed tracing, and incident troubleshooting.
• Establish security, resilience, scalability, backup, and disaster-recovery considerations as applicable.
• Drive production readiness, documentation, support handover, and ongoing performance improvements.

VDart: Digital Consulting & Staffing Solutions

VDart is a leading digital consulting and staffing company founded in 2007 and headquartered in Alpharetta, Georgia. VDart is one of the top staffing companies in USA & also provides technology solutions, supporting businesses in their digital transformation journey. Digital consulting services, Digital consulting agency

Core Services:

• Digital consulting and transformation solutions
• Comprehensive staffing services (contract, temporary, permanent placements)
• Talent management and workforce solutions
• Technology implementation services

Key Industries: VDart primarily serves industries such as automotive and mobility, banking and finance, healthcare and life sciences, and energy and utilities. VDart - Products, Competitors, Financials, Employees, Headquarters Locations

Notable Partnership: VDart Digital has been a consistently strong supplier for Toyota since 2017 Digital Transformation Consulting & Strategy Services | VDart Digital, demonstrating their capability in large-scale digital transformation projects.

With over 17 years of experience, VDart combines staffing expertise with technology solutions to help organizations modernize their operations and build skilled workforce capabilities across multiple sectors.