Job SummaryAs part of the Cox Automotive family, Central Dispatch is evolving the nation's largest self-managed auto transportation platform. Our logistics solutions connect shippers with a nationwide network of carriers, enabling vehicles to move efficiently across the country.The Lead Software Engineer applies secure software engineering principles to the design, development, testing, maintenance, and evaluation of software and cloud infrastructure. This role operates as a senior technical exp
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Job SummaryAs part of the Cox Automotive family, Central Dispatch is evolving the nation's largest self-managed auto transportation platform. Our logistics solutions connect shippers with a nationwide network of carriers, enabling vehicles to move efficiently across the country.The Senior Software Engineer applies secure software engineering principles to the design, development, testing, maintenance, and evaluation of software and cloud infrastructure. This role independently delivers complex f
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Job Discription:
3-5 years of experience in Applications, AI/ML development and implementation
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2+ years of hands-on experience withAmazon Bedrock and related AWS services
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Strong understanding of AI/ML frameworks, model deployment, and optimization
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Understanding of Application integration patterns and demonstrated project work integrating into complex systems
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Proficiency in React and TypeScript for building AI-powered user interfaces
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Experience designing intuitive
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Role Purpose
We are seeking an experienced AI/ML Engineer to design, evaluate, and productionizeagentic AI systems that autonomously or semi-autonomously plan tasks, invoke internal and external tools, reason over structured and unstructured data, and deliver measurable business outcomes. This role emphasizesreliability, safety, scalability, and auditability in enterprise environments.
Key Responsibilities
Agentic AI & LLM Engineering
Architect and build tool-using AI agents, includi
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Job Description:
Enterprise Collaboration: Work closely with business and IT stakeholders to design and implement AI-driven solutions that deliver measurable value.
Solution Design: Participate in designing scalable, cloud-first systems in partnership with technical leaders and architects, focusing on Azure technologies.
Team Support: Support other developers by sharing knowledge, offering guidance, and encouraging best practices and process improvements.
Project Road mapping: Help m
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Job Discription:
Design, build, and optimize machine learning models, including supervised, unsupervised, and deep learning methods.
Develop and fine-tune LLMs, NLP pipelines, embeddings, and vector search solutions.
Implement end-to-end ML pipelines (data preprocessing, feature engineering, model training, evaluation, monitoring
Build and deploy ML models on cloud platforms (AWS, GCP, Azure
Work with GPU/CUDA, distributed training, and model optimization for perfor
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Role : Senior AI/ML Developer
Location: Atlanta, GA,
GCP Vertex AI, Azure ML, MTSo Performs detailed design of complex applications and complex architecture componentso May lead a small group of developers in configuring, programming, and testingo Fixes medium to complex defects and resolves performance problemso Accountable for service commitments at the individual request level for in scope applicationso Monitors, tracks, and participates ticket resolution for assigned ticketso Manages cod
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Director Agentic AI Transformation - 51836-1 Location: Houston,TX. Hybrid, 2-3 days onsite per week JD: The Forward Deployed Context Engineering Lead (Director) is responsible for designing, deploying, and governing end-to-end context and retrieval architectures that power generative AI and agentic AI solutions for strategic financial services clients. Embedded at client sites using a embedded forward deployment model, this leader translates business imperatives into production-grade AI depl
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AI Engineer Location: Johns Creek, GA Duration: 12 month contract with possible extension Job Description: Looking for an onsite AI engineer to design, finalize, and productionize AI agents by integrating with Streamlit and deploying scalable, secure solutions on Kubernetes.
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1. Business Requirements & Use Case Identification
Partner with customers to identify opportunities for AI-driven autonomy and decision support.
Translate operational and business challenges into agent-based automation opportunities.
Evaluate use cases for feasibility, impact, and technical readiness.
Collaborate with architects to define solution blueprints for single and multi-agent systems.
2. Program Leadership & Execution Ownership
Lead end-to-end delivery of Agentic AI
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