Senior AI/ML Engineer
Listed on 2026-02-18
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Software Development
AI Engineer, Machine Learning/ ML Engineer
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?
Here’s 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 Dev Ops practices to build scalable, production‑ready AI applications.
CoreResponsibilities & 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, Auto Gen, CrewAI, Lang Graph, Lang Flow, Semantic Kernel, and OpenAI Agent SDK.
- Architect and develop enterprise products leveraging robust frontend interfaces and back‑end 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, Code Llama.
- Implement and optimize AI orchestration frameworks including Lang Chain and Llama Index.
- 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.
- Implement comprehensive AI observability and monitoring using tools such as Lang Fuse, 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.
- 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
- 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.
- Programming
Languages:
Proficiency in Python and Type Script/JavaScript; experience with Rust, Go, or Java a plus. - Frontend Frameworks:
Experience with React, Vue.js, Angular, Next.js, or similar modern…
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