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.
AI/ML Engineer
Location
United States
Posted
2 days ago
Salary
$80.2K - $120.4K / year
Seniority
Mid Level
No structured requirement data.
Job Description
AI/ML Engineer
TEKsystems
Role 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. Here’s what the opportunity supported through our TGS Talent Acquisition Team requires: 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. 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. Requirements - 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. Benefits - 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). Company Description 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.
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