Generative Artificial Intelligence

CareerCircle
Phoenix, AZ, United States
8 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$124,800.0 - $135,200.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Automation of Tests Microsoft Azure Cloud Computing Cloud Engineering Cluster Analysis Cyber Security Databases Continuous Integration Database Applications
+33 more
Elasticsearch Python (Programming Language) Machine Learning NoSQL Tensorflow Prometheus Software Construction Software Deployment Software Engineering SQL Databases Management of Software Versions Google Cloud Pytorch Flask (Web Framework) Large Language Models Prompt Engineering Apache Spark Generative AI Gitlab Fastapi Gitlab-ci Scikit Learn Kubernetes Information Technology HuggingFace Apache Kafka Apache Nifi Data Management Machine Learning Operations Virtual Agents Kibana Docker Jenkins

Job description

CI/CD Gitlab Kibana MLflow CrewAI Jenkins FastAPI AutoGen Kubeflow LangChain Operations Governance Kubernetes TensorFlow Agentic AI Scalability Apache NiFi Data Science Apache Kafka Communication Observability Elasticsearch Security Risk Responsible AI Microsoft Azure Vector Database Computer Science Machine Learning Docker (Software) Anomaly Detection Business Valuation Prompt Engineering Workflow Management Amazon Web Services Software Versioning Software Engineering Predictive Analytics Flask (Web Framework) Prometheus (Software) Cloud-Native Computing Full Stack Development Application Deployment Information Governance Artificial Intelligence Application Development Business Transformation SQL (Programming Language) Hugging Face (NLP Framework) Python (Programming Language) Scikit-Learn (Python Package) Generative Artificial Intelligence PyTorch (Machine Learning Library) MLOps (Machine Learning Operations) Application Programming Interface (API) Applications Of Artificial Intelligence, Sr. Engineer - Artificial Intelligence to help design and build impactful, intelligent, and secure AI solutions for Information Security & Governance and Control. We are seeking a technically strong AI professional with hands-on experience in Machine Learning, Agentic AI, Generative AI, and AI system development-someone who can translate business needs into scalable, production-ready AI applications and contribute to solutions that drive meaningful outcomes., * Build and enhance AI/ML and GenAI-powered solutions using Python, LLMs, RAG, prompt engineering, and agentic AI frameworks.

  • Translate business, Information Security, Governance, and Technology Risk requirements into scalable AI applications.

  • Develop, test, and improve models for NLP, classification, clustering, anomaly detection, and predictive analytics.

  • Support model lifecycle activities including experimentation, evaluation, versioning, deployment, monitoring, and documentation.

  • Contribute to cloud-native ML pipelines and AI application deployment using MLOps, APIs, Docker, Kubernetes, and related tools.

  • Collaborate with Security, Risk, Engineering, Governance, and Data teams to deliver secure, reliable, and responsible AI solutions.

  • Stay current with emerging trends in Machine Learning, Generative AI, Agentic AI, MLOps, and responsible AI., 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. Related Jobs Ai Engineer TEKsystems

Phoenix, AZ*Remote

NoSQL CI/CD Gitlab Kibana MLflow CrewAI Jenkins FastAPI AutoGen Kubeflow LangChain Operations Governance Kubernetes TensorFlow Agentic AI Scalability Apache NiFi Data Science Apache Kafka Communication Observability Elasticsearch Security Risk Responsible AI Microsoft Azure Vector Database Computer Science Machine Learning Docker (Software) Anomaly Detection Business Valuation Prompt Engineering Workflow Management Amazon Web Services Software Versioning Software Engineering Predictive Analytics Flask (Web Framework) Prometheus (Software) Cloud-Native Computing Full Stack Development Application Deployment Information Governance Artificial Intelligence Application Development Business Transformation SQL (Programming Language) Hugging Face (NLP Framework) Python (Programming Language) Scikit-Learn (Python Package) Generative Artificial Intelligence PyTorch (Machine Learning Library) MLOps (Machine Learning Operations) Application Programming Interface (API) Applications Of Artificial Intelligence +0

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Data Science, AI, or a related field.

  • 8+ years of experience designing and implementing large scale engineering solutions and AI/ML systems.

  • Hands-on experience developing AI/ML, GenAI, or data-driven applications.

  • Strong Python programming skills and familiarity with frameworks such as PyTorch, TensorFlow, scikit-learn, or similar tools.

  • Working knowledge of LLMs, NLP, embeddings, RAG, prompt engineering, and AI application development.

  • Experinec with agentic AI frameworks such as LangChain, AutoGen, CrewAI, or similar tools.

  • Exposure to APIs, cloud platforms, Docker, Kubernetes, vector databases, and software engineering best practices.

  • Ability to understand business needs, solve technical problems, and collaborate effectively across teams.

  • Exposure to MLOps/data tools such as MLflow, Kubeflow, Argo Workflows, Kafka, Spark, or NiFi.

Hands-on experience or working knowledge of the following tools, frameworks, and technologies:

  • Languages: Python

  • Frameworks & Libraries: Flask, FastAPI, TensorFlow, PyTorch, scikit-learn

  • AI & GenAI: LangChain, Hugging Face, AutoGen

  • MLOps & Orchestration: Kubeflow, Argo Workflows, MLflow, Triton Inference Server

  • Data Platforms: Kafka, Spark, NiFi, SQL/NoSQL, pgVector, Milvus

  • Cloud & Containers: AWS, Azure, GCP, Kubernetes, Docker

  • Observability: Prometheus, Elasticsearch, Kibana

  • CI/CD: Jenkins, GitLab CI, XL Release

Skills

Python, Artificial intelligence, Test automation

Top Skills Details

Python,Artificial intelligence,Test automation

Additional Skills & Qualifications

excellent communication skills, 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.

About the company

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., 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.

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