AI/ML Engineer

Top Skills' Details 4+ years experience as AI/ML Engineer Ability to design, build and deploy autonomous AI Agents and multi-agent systems. Hands-on familiarity with Google ADK, LangChain, LangGraph, and/or DeepAgents. • Strong Python, FastAPI, asynchronous programming, API design, Docker, and modern web-development skills. • Experience with LLM applications, RAG architectures, vector search, model evaluation, tracing, and guardrails. • Comfortable working across cloud environments and deploying secure, scalable AI systems. • Preferred: Hands-on experience with Google’s agent platform ecosystem, Vertex AI, Gemini, and related GCP services; candidates with equivalent experience on other cloud AI platforms are also encouraged to apply. Key responsibilities: Design and build multi-agent workflows that support planning, tool integration, state management, human review, error recovery, and complex decision-making. Develop scalable backend services, APIs, and lightweight full-stack interfaces for AI-powered products. Build RAG and enterprise knowledge-retrieval systems, including ingestion, embeddings, retrieval, reranking, access controls, and citations. Establish evaluation frameworks to measure quality, latency, reliability, safety, and cost. Implement practical security, observability, monitoring, and deployment practices for production AI workloads. Evaluate emerging models, frameworks, and AI development tools to improve delivery speed and product quality. Ideal Candidate Profile 4+ years of hands-on software engineering and/or ML engineering experience, with a proven record of shipping production software. Experience building agentic applications beyond simple chatbot wrappers, including multi-step workflows, tool use, orchestration, memory, and failure handling. Hands-on familiarity with Google ADK, LangChain, LangGraph, and/or DeepAgents . Strong Python, FastAPI, asynchronous programming, API design, Docker, and modern web-development skills. Experience with LLM applications, RAG architectures, vector search, model evaluation, tracing, and guardrails. Comfortable working across cloud environments and deploying secure, scalable AI systems. Preferred: Hands-on experience with Google’s agent platform ecosystem, Vertex AI, Gemini, and related GCP services; candidates with equivalent experience on other cloud AI platforms are also encouraged to apply. High-velocity, pragmatic builder who uses modern AI development tools to accelerate work across backend, frontend, and infrastructure. Skill Area Key Technologies & Capabilities Agent Architectures & Multi-Agent Systems Google ADK, LangChain, LangGraph, DeepAgents, ReAct patterns, planning and orchestration, memory and state management, tool execution, function calling, human-in-the-loop workflows, and error recovery. LLMs & Model Engineering Transformer fundamentals, attention mechanisms, prompt design, structured outputs, context management, fine-tuning, token economics, and multi-provider model routing across commercial and open-weight models. RAG & Knowledge Systems Hybrid search, semantic retrieval, reranking, document ingestion and processing, vector databases such as Pinecone, Qdrant, Weaviate, pgvector, and Vertex AI Vector Search, plus Model Context Protocol (MCP). Backend & Cloud Engineering Asynchronous Python using asyncio and FastAPI, REST and streaming APIs, microservices, event-driven systems, Docker, cloud deployment, security, and observability. AI-Augmented Full-Stack Development Rapid delivery using tools such as Cursor, GitHub Copilot, and Claude Code, paired with React, Next.js, and TypeScript. Evaluation & Observability Agent evaluation, tracing, guardrails, prompt security, reliability testing, cost monitoring, and tools such as LangSmith, Phoenix, OpenTelemetry, and cloud-native monitoring platforms. Job Type & Location This is a Contract position based out of Dearborn, MI. Pay and Benefits The pay range for this position is $50.00 - $75.00/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 1, 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.