Machine Learning Engineer

Top Skills' Details - Masters degree in Computer Science, Machine Learning, Data Science, Engineering, or related discipline. - 10+ years of software engineering, machine learning engineering, or applied AI experience. - 3+ years building production AI, LLM, or Generative AI solutions. - Strong Python development experience. - Experience developing production-grade Retrieval-Augmented Generation (RAG) systems. - Experience building or supporting Agentic AI, AI orchestration, or multi-agent workflows. Description About the Role Our client is seeking a Senior Machine Learning Engineer II to help build and scale advanced Agentic AI and Multi-Agent Systems that transform how professionals interact with information. This role goes beyond traditional machine learning engineering. The ideal candidate will have experience designing intelligent AI systems capable of reasoning, planning, retrieval, tool utilization, workflow orchestration, and autonomous task execution across large-scale knowledge environments. You will work closely with Applied Scientists, ML Engineers, Architects, Product Leaders, and Software Engineers to develop production-grade AI systems that leverage Large Language Models (LLMs), RAG architectures, vector search, agent frameworks, and emerging reasoning technologies. This position is ideal for engineers who have moved beyond basic prompt engineering and have experience building sophisticated AI applications capable of solving complex, multi-step business problems. Key Responsibilities Agentic AI Development Design, build, and deploy production-scale multi-agent AI systems. Develop agent workflows capable of planning, reasoning, retrieval, tool utilization, validation, and task execution. Architect agent ecosystems utilizing specialized agent roles such as: Planner Researcher Critic Verifier Writer Orchestrator Implement shared memory, state management, context preservation, and agent communication frameworks. Develop guardrails and validation systems to improve reliability and reduce hallucinations. Retrieval-Augmented Generation (RAG) Design and optimize enterprise-scale RAG architectures. Develop advanced retrieval strategies leveraging: Vector databases Semantic search Knowledge graphs Metadata filtering Hybrid retrieval approaches Improve grounding, citation accuracy, retrieval quality, and relevance. Optimize chunking strategies, embedding pipelines, and context management. Machine Learning Engineering Build scalable AI and machine learning services deployed into production environments. Develop model evaluation frameworks for both traditional machine learning and LLM-based systems. Create automated testing pipelines for prompts, retrieval systems, agent workflows, and AI outputs. Fine-tune, evaluate, and optimize AI systems for performance, latency, quality, and cost. AI Evaluation & Observability Define and measure success metrics for agentic AI systems, including: Task completion rates Accuracy Hallucination rates Retrieval effectiveness Cost efficiency User satisfaction Latency Implement monitoring, observability, and evaluation frameworks for LLM applications. Develop processes for continuous improvement and model governance. Research & Innovation Evaluate emerging AI technologies and frameworks. Investigate advances in: Multi-Agent Systems Agentic AI Reasoning Models LLM Orchestration Knowledge Retrieval Autonomous AI Workflows Contribute to architecture standards and AI platform strategy. Participate in proof-of-concepts and innovation initiatives. Required Qualifications Bachelor's degree in Computer Science, Machine Learning, Data Science, Engineering, or related discipline. 6+ years of software engineering, machine learning engineering, or applied AI experience. 3+ years building production AI, LLM, or Generative AI solutions. Strong Python development experience. Experience developing production-grade Retrieval-Augmented Generation (RAG) systems. Experience building or supporting Agentic AI, AI orchestration, or multi-agent workflows. Strong understanding of: Large Language Models (LLMs) Natural Language Processing (NLP) Information Retrieval Semantic Search Embeddings Prompt Engineering Model Evaluation Experience working with vector databases and retrieval platforms. Strong software engineering fundamentals including testing, CI/CD, observability, and scalable system design. Preferred Qualifications Experience with agent frameworks such as: LangGraph AutoGen CrewAI Semantic Kernel OpenAI Agents SDK LlamaIndex Workflows Experience implementing: Multi-agent communication patterns Shared memory architectures Tool-calling agents Autonomous workflows Human-in-the-loop systems Experience with cloud platforms including AWS, Azure, or GCP. Familiarity with: Kubernetes Docker MLOps LLMOps AI observability platforms Knowledge graph or enterprise search experience. Experience building AI systems in highly regulated or knowledge-intensive domains. Skills Python, Data science, Machine learning, Sql, Algorithm, Aws, agentic ai, mcp, Data, Predictive modelling, Artificial intelligence Top Skills Details Python,Data science,Machine learning,Sql,Algorithm,Aws,agentic ai,mcp Additional Skills & Qualifications N/A Experience Level Expert Level Job Type & Location This is a Contract to Hire position based out of Raleigh, NC. Pay and Benefits The pay range for this position is $75.00 - $85.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the 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 Sep 11, 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.