Sr. Full Stack AI Engineer (Remote)

Description

As an organization, TEKsystems Global Services (TGS) provides a continuum of services ranging from Engagement Management to full functional Outsourcing, including Offshore Centers in Canada and India. Our model allows us to engage customers beyond staffing when they ask for more ownership, capabilities, or methodology while enhancing client/consultant support.

We partner with progressive leaders to create opportunity, accelerate business transformation and help build the enterprises of tomorrow. We work with 80% of the Fortune 500 to address their technology, strategy, and talent needs. We innovate so industries stay ahead of what’s next. As a full stack technology and talent services provider, we partner with our customers across the globe to own change. Join us.

At TEKsystems Global Services, we live in the tech world. We’re out in front of the trends and tools that shape industry and create fresh opportunities. All-in, fully engaged, high energy partnership is how we approach everything – our commitments and our people. Our people are at the center, fueling our high-performance and our inclusive culture.

We’re doers, looking for doers who do the right thing. Roll up your sleeves, thought-leaders, focused on creating the possible. Team champions who declare success only when everyone achieves their ambitions. Sound like the career experience you’ve been searching for? We’re looking for a Sr. Full Stack AI Engineer to join our team. A practitioner who accelerates outcomes, affects positive change, and moves business forward.

Let’s partner. Together, we can accomplish amazing things.

Here’s what the opportunity supported through our TGS Talent Acquisition Team requires:

Position Summary

We are seeking a highly skilled and experienced Senior Full-Stack AI Engineer to join our team. This role involves designing and developing cutting-edge AI solutions, including agentic AI systems and multi-agent orchestration, and contributing to the full software development lifecycle from front end to back end. You'll use the latest AI frameworks, large language models, and modern DevOps practices to build scalable, production-ready AI applications.

Key Responsibilities

Generative AI & Agent Development

• Design and implement scalable full-stack applications integrating advanced AI capabilities and autonomous agent systems

• Develop and maintain sophisticated agentic AI solutions, including autonomous agents, multi-agent systems, and AI orchestration workflows

• Build intelligent agents capable of reasoning, planning, decision-making, and autonomous task execution

• Implement agent communication protocols and coordination mechanisms for complex multi-agent scenarios

• Design and optimize AI workflows using agent frameworks such as Google ADK, A2A, AutoGen, CrewAI, Lang Graph, LangFlow, Semantic Kernel, and OpenAI Agent SDK

Technical Architecture & Integration

• Architect and develop robust frontend interfaces and backend services for AI-driven platforms using modern frameworks

• Integrate multiple Large Language Models (LLMs), including GPT-4, Claude, Gemini, and open-source models like Llama 3, Mistral, CodeLlama, and Vicuna

• Implement and optimize AI orchestration frameworks, including LangChain, LlamaIndex, etc.

• Design Model Context Protocol (MCP) implementations for seamless model interoperability

• Develop custom agent frameworks and extend existing platforms like Microsoft AI Agent Development Kit (ADK) and Google AI Platform

DevOps & Production Systems

• Implement comprehensive AI observability and monitoring using Lang Fuse, Pheonix, Datadog, or Dynatrace

• Deploy and manage AI applications using containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure)

• Establish CI/CD pipelines for AI model deployment, version control, and automated testing

• Implement prompt engineering best practices, A/B testing frameworks for AI responses, and performance optimization

• Monitor model performance, drift detection, and implement feedback loops for continuous improvement

Collaboration & Quality Assurance

• Collaborate with research, product, and data science teams to prototype and deploy production-ready intelligent systems

• Ensure scalability, reliability, security, and ethical considerations in the deployment of agentic AI systems

• Participate in code reviews, testing, documentation, and knowledge sharing to ensure high-quality software delivery

• Mentor junior developers and contribute to technical decision-making processes

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related technical field

• 5+ years of experience in full-stack development with proficiency in modern frameworks and programming languages

• 3+ years of hands-on experience building AI-powered applications and autonomous agent systems

Technical Expertise

• Programming Languages: Proficiency in Python, TypeScript/JavaScript, with experience in Rust, Go, or Java preferred

• Frontend Frameworks: React, Vue.js, Angular, Next.js, or similar modern frameworks

• Backend Technologies: Node.js, FastAPI, Django, Express.js, microservices architecture

• Agent Frameworks: Hands-on experience with LangChain, AutoGen, CrewAI, LangGraph, OpenAI Assistants API, or Microsoft ADK

• LLM Integration: Proven experience integrating and optimizing multiple language models (GPT, Claude, Gemini, open-source models)

• AI/ML Fundamentals: Strong understanding of transformer architectures, prompt engineering, embeddings, vector databases, and RAG systems

Specialized AI Knowledge

• Proven experience in building autonomous agents, multi-agent systems, and agent orchestration platforms

• Strong understanding of agent-based modeling, reinforcement learning, AI planning techniques, and decision-making algorithms

• Experience with Model Context Protocols (MCP) and multi-model integration patterns

• Knowledge of AI safety, alignment, and ethical AI deployment practices

• Familiarity with vector databases (Pinecone, Weaviate, Chroma) and semantic search implementations