AI/ML Engineer

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? 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 Required Qualifications Education & Experience • 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 Preferred Qualifications Advanced Technical Skills • Experience with LangFuse for AI observability, tracing, and performance monitoring • Knowledge of AWS Strands platform or similar agent coordination systems • Familiarity with open-source LLMs deployment and fine-tuning (Hugging Face, Ollama, vLLM) • Experience with AI development tools like Cursor, GitHub Copilot, Claude Code, Gemini CLI • Understanding of retrieval-augmented generation (RAG), knowledge graphs, and semantic search DevOps & Infrastructure • Experience with MLOps tools and practices including model versioning, experiment tracking, and automated deployment • Knowledge of Kubernetes for AI workload orchestration and GPU cluster management • Familiarity with cloud AI services (AWS Bedrock, Google Vertex AI, Azure OpenAI Service) • Experience with monitoring and logging tools specifically for AI applications Industry Experience • Previous experience in AI research, autonomous systems, or intelligent automation • Understanding of conversational AI, task automation, or decision support systems • Experience with AI governance, model evaluation, and safety testing frameworks • Extremely good with natural language processing (NLP) technologies AND Language models, prompt engineering and context Engineering

Skills

machine learning

Top Skills Details

machine learning

Additional Skills & Qualifications

See Above

Experience Level

Intermediate Level

This is a Permanent position based out of Remote, OR.

The pay range for this position is $80200.00 - $120400.00/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

This is a fully remote position.

This position is anticipated to close on Jun 12, 2026.

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

We’re 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. We’re 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. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re 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.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.