Sr. Full Stack AI Engineer

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 provides the ability to engage customers beyond staffing when asked 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 whatu2019s 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. Weu2019re 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 u2013 our commitments and our people. Our people are at the center, fueling our high-performance and our inclusive culture. Weu2019re doers, looking for doers who do the right thing. Roll-up your sleeves thought-leaders focused on creating possible. Team champions who declare success only when everyone achieves their ambitions. Sound like the career experience youu2019ve been searching for? Weu2019re looking for a Sr. Full Stack AI Engineer to join our team. A practitioner who accelerates outcomes, affects positive change, and moves business forward. Letu2019s partner. Together, we can accomplish amazing things. Hereu2019s 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, multi-agent orchestration, and contributing to the full software development lifecycle from frontend to backend. You'll work with the latest AI frameworks, large language models, and modern DevOps practices to build scalable, production-ready AI applications. Key Responsibilities Generative AI & Agent Development u2022 Design and implement scalable full-stack applications integrating advanced AI capabilities and autonomous agent systems u2022 Develop and maintain sophisticated agentic AI solutions including autonomous agents, multi-agent systems, and AI orchestration workflows u2022 Build intelligent agents capable of reasoning, planning, decision-making, and autonomous task execution u2022 Implement agent communication protocols and coordination mechanisms for complex multi-agent scenarios u2022 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 u2022 Architect and develop robust frontend interfaces and backend services for AI-driven platforms using modern frameworks u2022 Integrate multiple Large Language Models (LLMs) including GPT-4, Claude, Gemini, and open-source models like Llama 3, Mistral, CodeLlama, and Vicuna u2022 Implement and optimize AI orchestration frameworks including LangChain, LlamaIndex etc. u2022 Design Model Context Protocol (MCP) implementations for seamless model interoperability u2022 Develop custom agent frameworks and extend existing platforms like Microsoft AI Agent Development Kit (ADK) and Google AI Platform DevOps & Production Systems u2022 Implement comprehensive AI observability and monitoring using Lang Fuse, Pheonix, Datadog or Dynatrace u2022 Deploy and manage AI applications using containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure) u2022 Establish CI/CD pipelines for AI model deployment, version control, and automated testing u2022 Implement prompt engineering best practices, A/B testing frameworks for AI responses, and performance optimization u2022 Monitor model performance, drift detection, and implement feedback loops for continuous improvement Collaboration & Quality Assurance u2022 Collaborate with research, product, and data science teams to prototype and deploy production-ready intelligent systems u2022 Ensure scalability, reliability, security, and ethical considerations in the deployment of agentic AI systems u2022 Participate in code reviews, testing, documentation, and knowledge sharing to ensure high-quality software delivery u2022 Mentor junior developers and contribute to technical decision-making processes Required Qualifications Education & Experience u2022 Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related technical field u2022 5+ years of experience in full-stack development with proficiency in modern frameworks and programming languages u2022 3+ years of hands-on experience building AI-powered applications and autonomous agent systems Technical Expertise u2022 Programming Languages: Proficiency in Python, TypeScript/JavaScript, with experience in Rust, Go, or Java preferred u2022 Frontend Frameworks: React, Vue.js, Angular, Next.js, or similar modern frameworks u2022 Backend Technologies: Node.js, FastAPI, Django, Express.js, microservices architecture u2022 Agent Frameworks: Hands-on experience with LangChain, AutoGen, CrewAI, LangGraph, OpenAI Assistants API, or Microsoft ADK u2022 LLM Integration: Proven experience integrating and optimizing multiple language models (GPT, Claude, Gemini, open-source models) u2022 AI/ML Fundamentals: Strong understanding of transformer architectures, prompt engineering, embeddings, vector databases, and RAG systems Specialized AI Knowledge u2022 Proven experience in building autonomous agents, multi-agent systems, and agent orchestration platforms u2022 Strong understanding of agent-based modeling, reinforcement learning, AI planning techniques, and decision-making algorithms u2022 Experience with Model Context Protocols (MCP) and multi-model integration patterns u2022 Knowledge of AI safety, alignment, and ethical AI deployment practices u2022 Familiarity with vector databases (Pinecone, Weaviate, Chroma) and semantic search implementations We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. u2022 Please click on the following link to learn more about our full-time internal employment benefits: o Canada (English) full time internal employment benefits link - o Canada (French) full time internal employment benefits link - o Link to downloadable PDF EMEA specific country benefits documents to share with talent - u2022 A general description of any bonuses, profit sharing, commissions or other compensation offered for the position should be included: Additional earnings may be available through incentive programs like annual bonuses, commissions, profit sharing, etc. u2022 A posting close date added to the description: The expected posting close date is 8/8/25. Skills Python, Engineering, Cloud, Artificial intelligence, Java, Software engineering, devops, full stack development, typescript, javascript, react, vue.js, angular, node.js, Machine learning, Development, open source, Kubernetes Top Skills Details Python,Engineering,Cloud,Artificial intelligence,Java,Software engineering,devops,full stack development,typescript,javascript,react,vue.js,angular,node.js,Machine learning,Development Additional Skills & Qualifications Preferred Qualifications Advanced Technical Skills u2022 Experience with LangFuse for AI observability, tracing, and performance monitoring u2022 Knowledge of AWS Strands platform or similar agent coordination systems u2022 Familiarity with open-source LLMs deployment and fine-tuning (Hugging Face, Ollama, vLLM) u2022 Experience with AI development tools like Cursor, GitHub Copilot, Claude Code, Gemini CLI u2022 Understanding of retrieval-augmented generation (RAG), knowledge graphs, and semantic search DevOps & Infrastructure u2022 Experience with MLOps tools and practices including model versioning, experiment tracking, and automated deployment u2022 Knowledge of Kubernetes for AI workload orchestration and GPU cluster management u2022 Familiarity with cloud AI services (AWS Bedrock, Google Vertex AI, Azure OpenAI Service) u2022 Experience with monitoring and logging tools specifically for AI applications Industry Experience u2022 Previous experience in AI research, autonomous systems, or intelligent automation u2022 Understanding of conversational AI, task automation, or decision support systems u2022 Experience with AI governance, model evaluation, and safety testing frameworks u2022 Extremely good with natural language processing (NLP) technologies AND Language models, prompt engineering and context Engineering Experience Level Expert Level Pay and Benefits The pay range for this position is $119800.00 - $179800.00/yr. u2022 Bonus information: Enter annual bonus potential - Bonuses are paid out at the end of the year and are tied to a percentage of personal and companyu2019s performance. u2022 Benefits: Health insurance Blue Cross Blue Shield PPO - 100 percent coverage for well visits, Individual and family options, Dental and vision options, Health savings account with annual company contribution, Coverage begins within 30 days of employment u2022 Time off: 20 days annually plus six company holidays; After three years of employment, increases to 23 days annually plus six company holidays u2022 Retirement savings: 401(k) with matching contribution; Profit-sharing u2022 Tuition reimbursement: Up to a maximum of $5,250 annually for eligible courses/programs Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Aug 8, 2025. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services Weu2019re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Weu2019re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Weu2019re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Weu2019re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at . The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Created: 2025-07-28