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AI Engineer Associate

Trinity Industries Dallas, TX

Dallas, TX

Today

Full time Agentic Ai Ai Agent Api Integration

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Job Description

Trinity Industries is hiring an AI Engineer Associate in Dallas, TX (onsite) to design and deliver agentic AI applications for enterprise business teams.

Responsibilities

Design, prototype, and deliver agentic systems that plan and execute multi-step business tasks, including connectors and integrations to internal systems and APIs.
Build agentic solutions with agent controls: evaluation against defined success criteria, scoped and secure tool access, human approval steps for actions with business or financial risk, and monitoring of agent behavior in production.
Generate code and deployable artifacts using AI-assisted generation; read, explain, test, and troubleshoot code before release.
Deploy and support applications through source control, automated testing, and CI/CD pipelines, including triaging issues and iterating post-launch.
Apply data governance and access-control practices to every solution, in partnership with data engineering.
Collaborate with data analysts, data scientists, data engineers, and business stakeholders to understand business problems and likely solution paths.
Demo outcomes and provide concise handoff documentation, runbooks, and impact metrics.

Requirements

Bachelor's degree in computer science, engineering, a quantitative discipline, or equivalent demonstrated practical experience.
Demonstrable experience building AI prototypes or agentic projects (internship, coursework, research, personal projects, or employment).
Ability to write code using AI-assisted coding tools in an IDE and to read, explain, test, and troubleshoot the resulting code.
Familiarity with SQL and cloud data platforms such as Databricks, Azure, AWS, or equivalents.
Working knowledge of version control (Git) and collaborative development practices.
Strong problem solving and communication skills, including presenting technical work to nontechnical stakeholders.
Ability to manage multiple concurrent projects and communicate status without close supervision.

Technologies

SQL, Databricks, Azure, AWS
Git, REST APIs, CI/CD pipelines
Azure DevOps, GitHub Actions
RAG, LLM

Preferred / Nice-to-Have

Experience with unstructured text and retrieval approaches for document/question answering (RAG or index + LLM patterns).
Comfort integrating services via REST APIs and using secure authentication patterns.
Exposure to CI/CD tooling (Azure DevOps, GitHub Actions, or similar) and deploying via automated pipelines.
Experience building/work with data/workflow pipelines or orchestration tools, including scheduling and task orchestration concepts.
Exposure to observability practices for deployed applications, including logging, cost tracking, and basic drift checks.
Exposure to data governance concepts such as catalogs, lineage, and role-based access control.

Growth Path

Entry-level role with opportunity to progress into a more senior individual contributor position.
Work on enterprise platforms using enterprise-provided AI development tools, starting within established patterns and taking increasing ownership across the application lifecycle.
Move toward leading projects end-to-end as experience grows, including work with Databricks and Palantir Foundry.

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1mo ago

AI Engineer

Transformativ, LLC Dallas-Fort Worth, TX

Dallas-Fort Worth, TX

1mo ago Closed

$75 - $100/hr Contract Agentic Ai Ai Engineer Artificial Intelligence

This position is no longer accepting applications (closed Sep 9, 2026).

Job Description

Transformativ, LLC is hiring an AI Engineer (contract) to design, build, and deploy production-ready enterprise AI systems spanning agentic AI, LLMs, and multi-agent orchestration.

Responsibilities

Design and deploy production-ready Agentic AI and multi-agent systems
Build enterprise AI applications in Python using platforms such as OpenAI, Anthropic, Google Gemini, Azure OpenAI, or similar
Develop AI workflows using orchestration frameworks including LangGraph, CrewAI, AutoGen, MCP, or comparable tools
Integrate AI solutions with REST APIs, databases, and enterprise systems such as Microsoft 365, ERP, and CRM
Partner with business leaders to convert operational challenges into practical AI solutions
Lead technical design discussions and mentor other engineers when appropriate
Evaluate emerging AI technologies and recommend approaches that fit real production needs

Requirements

Professional experience building production AI applications
Strong Python development skills
Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini, Azure OpenAI, etc.)
Experience with Agentic AI, autonomous agents, multi-agent systems, or AI orchestration
Experience integrating REST APIs, databases, and enterprise applications
Excellent communication skills with client-facing consulting experience
Ability to explain complex AI concepts to both technical and business audiences

Technologies

Python; OpenAI; Anthropic; Google Gemini; Azure OpenAI
LangGraph; CrewAI; AutoGen; MCP; Semantic Kernel
Microsoft 365; ERP; CRM
REST APIs; APIs; databases
AWS; Google Cloud; Azure
Machine Learning; Intelligent Automation; Autonomous multi-agent systems

Location

Dallas-Fort Worth, TX (hybrid)
Work location: Hybrid remote in McKinney, TX 75070
Dallas, TX preferred; remote considered for exceptional candidates

Job Type & Compensation

1099 Independent Contractor with Contract-to-Hire Opportunity
Pay range: $75.00–$100.00 per hour
Compensation: Competitive hourly rate based on experience

Preferred Experience

Experience with LangGraph, CrewAI, AutoGen, MCP, Semantic Kernel, or similar frameworks
Experience on cloud platforms including Azure, AWS, or Google Cloud
Background in healthcare, manufacturing, supply chain, finance, procurement, or private equity
Experience with AI governance, security, evaluation, and responsible AI practices
Technical leadership or consulting experience

Why Join Transformativ

Work on cutting-edge enterprise AI implementations
Collaborate directly with executives and enterprise clients
Opportunity for long-term leadership and growth
Flexible, high-impact consulting environment

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1mo ago

AI & Machine Learning Engineer

OneBlood Saint Petersburg, FL

Saint Petersburg, FL

1mo ago Closed

Full time Agentic Ai Systems Ai Ml Artificial Intelligence

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

OneBlood builds practical AI and Machine Learning capabilities that help teams find insights, optimize operations, and improve decision-making across the organization. In this onsite role in Saint Petersburg, FL, you will lead the end-to-end delivery of data pipelines, ML systems, AI agents, and Retrieval-Augmented Generation (RAG) applications, with evaluation and safety guardrails.

What you’ll do

Design, build, and maintain robust data pipelines to collect, clean, and transform data from multiple sources for analysis, modeling, and operational deployments.
Develop and implement ML models and algorithms through the full life cycle, including problem framing, data collection, preparation, feature engineering, model selection, training, evaluation, deployment, retraining, and ongoing advancement.
Design and build AI agents that execute workflows inside enterprise systems such as databases, CRMs, ticketing, and knowledge bases, deployed with reliable and safety guardrails.
Build end-to-end agent orchestration including prompting, memory/state, tool-calling, retries and fallbacks, and create evaluation frameworks using test suites, simulations, and human-in-the-loop review to improve accuracy and reduce errors.
Develop RAG GPT applications by integrating enterprise knowledge sources (documents and databases) with embeddings, vector search, and prompt orchestration for grounded responses, supported by evaluation and safety guardrails.
Analyze large datasets to identify trends, patterns, and actionable insights, and create visualizations and reports for stakeholders.
Monitor and evaluate model and system performance, then make adjustments to optimize accuracy and efficiency.
Document processes, methodologies, and model development for transparency and reproducibility.
Provide training and support to other team members or departments on data tools, techniques, and best practices.
Collaborate with internal IT teams to ensure infrastructure supports stable, highly available, and well-maintained Data Science and AI applications.
Stay current with emerging technologies and industry trends to continually improve data engineering practices and contribute to cutting-edge solutions.
Ensure data accuracy, consistency, and security, implementing and enforcing data governance policies and best practices.

What you bring

5+ years of experience in data engineering, data science, or a related role, including hands-on experience building and deploying machine learning models.
A Bachelor’s degree in Computer Science, Analytics, or a related field from an accredited college or university; Master of Science preferred.
Advanced proficiency in Python and common ML/data libraries including scikit-learn, TensorFlow, Keras, PyTorch, Pandas, and NumPy.
Strong knowledge of machine learning methodologies, including supervised learning (regression, classification) and unsupervised learning (clustering, dimensionality reduction, anomaly detection).
Strong SQL skills, including designing and querying relational databases and supporting data warehousing; familiarity with ETL/ELT workflows and tools such as SSIS or equivalent.
Working knowledge of medallion architectures.
Experience with cloud-based ML development and deployment on AWS, Azure, or Google Cloud.
Proficiency with version control and collaborative workflows including Git, branching strategies, code review, and basic CI/CD concepts.
Expertise in probability and statistics, including experimental design, hypothesis testing, uncertainty modeling, performance measurement, and evaluation metric selection.
Experience building AI model-powered applications using model APIs, including prompt design, tool/function calling, structured outputs (JSON), and response validation/guardrails.
Strong understanding of RAG architectures including ingestion pipelines, chunking strategies, metadata design, embeddings, and retrieval methods.
Hands-on experience with vector databases/search systems, including tuning for relevance, latency, and cost.

Environment & physical requirements

Work involves periodic moderately physically demanding tasks, including lifting, carrying, pushing, and/or pulling moderately heavy objects and materials (up to 25 pounds), with assistance/equipment for heavier moves.
May involve climbing, stooping, kneeling, crouching, or crawling; must be able to safely operate assigned vehicles, possibly long distances.
Regularly performed inside and/or outside with potential exposure to adverse conditions such as inclement weather, atmospheric elements, and pathogenic substances.
Noise level in the work environment is usually moderate.

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1mo ago

Lead AI Engineer

Capital One New York, NY

New York, NY

1mo ago Closed

$215k - $246k/yr Full time Manager AI Ai Guardrails

This position is no longer accepting applications (closed Sep 5, 2026).

Job Description

Lead AI Engineer to build and deploy responsible, scalable AI systems as part of Capital One’s Intelligent Foundations and Experiences (IFX) team.

Responsibilities

Collaborate with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for associate workflows and customer experiences
Design, develop, test, deploy, and support AI software components including:
- Foundation model training
- Large language model (LLM) inference
- Similarity search
- Guardrails
- Model evaluation
- Experimentation
- Governance
- Observability
Use a mix of Open Source and SaaS AI tooling such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and related technologies
Develop and introduce LLM optimization techniques to improve production performance across scalability, cost, latency, and throughput
Help shape technical vision and the long-term roadmap for foundational AI systems at Capital One

Requirements

Education plus experience:
- Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, with at least 4 years of experience developing AI/ML algorithms or technologies, or
- Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, with at least 2 years of experience developing AI/ML algorithms or technologies
At least 4 years of programming experience with Python, Go, Scala, or Java

Technologies

AWS Ultraclusters
Huggingface
VectorDBs
Nemo Guardrails
PyTorch
AWS, Google Cloud, Azure
Python, Go, Scala, Java
C++, C#, Golang
Large language model inference
Similarity search
Guardrails
Model evaluation
Experimentation
Governance
Observability
Foundation model training
LLM optimization
Memory

Team Description

IFX (Intelligent Foundations and Experiences) is central to bringing Capital One’s AI vision to life
Partners across the company to advance the state of the art in science and AI engineering
Builds and deploys proprietary solutions that support the business and deliver value to millions of customers
Enables teams across Capital One to enhance products with responsible, scalable AI for high-leverage impact

Ideal Candidate

Enjoys building systems and taking ownership of quality work
Interested in staying current with the latest research and translating scientific publications into production-ready solutions
Comfortable with large, undefined problems; asks questions, digs for root causes, and communicates findings clearly
Willing to propose new ideas even when they are not yet fully proven
Deeply technical with strong foundations in engineering and mathematics; can identify and pursue optimization opportunities across hardware, software, and AI
Resilient and able to create new paths to meet business goals when the route is unclear

Preferred Qualifications

6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud)
Experience designing, developing, delivering, and supporting AI services
Experience developing AI/ML algorithms or technologies (e.g., LLM inference, similarity search and VectorDBs, guardrails, memory) using Python, C++, C#, Java, or Golang
Experience developing and applying state-of-the-art techniques to optimize training and inference software for improved hardware utilization, latency, throughput, and cost
Passion for AI research and AI systems; applies novel techniques judiciously in production

Benefits

Performance-based incentive compensation, potentially including cash bonus(es) and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being

Location: New York, NY (onsite)

Compensation: USD 215,200 - 245,600 per year

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