Description Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success. Ready to join us? Heres what the opportunity supported through our TGS Talent Acquisition Team requires: We are seeking a highly skilled and experienced Senior Full Stack AI/ML Engineer with Product and AI First Mindset 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 on building world class AI Products on latest AI frameworks, large language models, and modern DevOps practices to build scalable, production-ready AI applications. \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ Core Responsibilities & Essential Functions Technical Design \\+ Design and implement scalable full stack applications/products integrating advanced AI capabilities and autonomous agent systems. \\+ Develop and maintain sophisticated agentic AI Products and 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, LangGraph, LangFlow, Semantic Kernel, and OpenAI Agent SDK. Technical/Product Architecture & Integration \\+ Architect and develop enterprise products leveraging robust frontend interfaces and backend services for AI driven platforms using modern frameworks. \\+ Integrate multiple Large Language Models (LLMs), including Open AI, Anthropic, Google and other open source models like Llama 3, Mistral, CodeLlama, \\+ Implement and optimize AI orchestration frameworks including LangChain and LlamaIndex. \\+ 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 & Product Operations \\+ Implement comprehensive AI observability and monitoring using tools such as LangFuse, Phoenix, 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, detect drift, 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. \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ Work Experience Required Qualifications \\+ 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 and TypeScript/JavaScript; experience with Rust, Go, or Java a plus \\+ Frontend Frameworks: Experience with React, Vue.js, Angular, Next.js, or similar modern frontend frameworks \\+ Backend Technologies: Node.js, FastAPI, Django, Express.js, and microservices-based architectures \\+ Agent Frameworks: Hands on experience with LangChain, AutoGen, CrewAI, LangGraph, OpenAI Assistants API, or Microsoft ADK \\+ LLM Integration: Proven experience integrating and optimizing models such as GPT, Claude, Gemini, and open source LLMs (Llama 3, Mistral, CodeLlama, Vicuna) \\+ AI/ML Fundamentals: Strong understanding of transformer architectures, prompt engineering, embeddings, vector databases, and RAG systems Specialized AI Knowledge \\+ Proven experience building autonomous agents, multi agent systems, and agent orchestration platforms \\+ Deep understanding of agent based modeling, reinforcement learning, AI planning methods, and decision making algorithms \\+ Experience working with Model Context Protocol (MCP) and multi model integration workflows \\+ Knowledge of AI safety, alignment, and responsible deployment methodologies \\+ Familiarity with vector databases like Pinecone, Weaviate, and Chroma, and experience implementing semantic search \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ Preferred Qualifications Advanced Technical Skills \\+ Experience using LangFuse for AI observability, tracing, and performance monitoring \\+ Knowledge of AWS Strands or similar agent coordination platforms \\+ Experience deploying or fine tuning open source LLMs using tools such as Hugging Face, Ollama, or vLLM \\+ Familiarity with AI development tools: Cursor, GitHub Copilot, Claude Code, Gemini CLI \\+ Understanding of RAG, knowledge graph architectures, and semantic search techniques DevOps & Infrastructure \\+ Experience with MLOps practices including model versioning, experiment tracking, and automated deployment pipelines \\+ Knowledge of Kubernetes for AI workload orchestration, distributed systems, and GPU cluster management \\+ Familiarity with cloud AI services like AWS Bedrock, Google Vertex AI, Azure OpenAI \\+ Experience with AI specific monitoring and logging solutions Product & Industry Experience \\+ Background in Full Stack Product development and deployed in enterprise or consumer marketplace \\+ Understanding of Product Engineering, conversational AI, task automation, or decision support systems \\+ Experience with AI governance, model evaluation methodologies, and safety testing frameworks \\+ Strong proficiency in NLP, language models, prompt engineering, and context engineering Job Type & Location This is a Permanent position based out of Baltimore, MD. Pay and Benefits The pay range for this position is $119800.00 - $179800.00/yr. We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. Our full-time, internal employment benefits include the following: Medical, Dental, and Vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life and AD&D for employee and dependents) Short and Long-Term Disability Health Spending Account (HSA) Transportation Benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Mar 25, 2026. 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 Were 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. Were 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. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were 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 TEKsystems.com. 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.

The role requires over five years of experience in full stack development, with proficiency in modern frameworks and programming languages. Additionally, three years of hands-on experience is needed for building AI-powered applications and autonomous agent systems. Technical expertise includes programming languages such as Python and TypeScript/JavaScript, frontend frameworks like React, Vue.js, Angular, or Next.js, and backend technologies including Node.js, FastAPI, Django, Express.js, and microservices. Experience with agent frameworks like LangChain, AutoGen, CrewAI, LangGraph, OpenAI Assistants API, or Microsoft ADK is essential. Integration and optimization of Large Language Models such as GPT, Claude, Gemini, and open-source LLMs like Llama 3, Mistral, CodeLlama, and Vicuna are also required. A strong understanding of AI/ML fundamentals, including transformer architectures, prompt engineering, embeddings, vector databases, and RAG systems, is necessary. Proven experience in building autonomous agents, multi-agent systems, and agent orchestration platforms is a key requirement.