1055 Engineer Backend Apis jobs in Dallas,TX

Engineer Intern

Curtiss-Wright

Grand Prairie, TX 75052

$18-$21/hr

~ 28 min Onsite

Mechanical Engineering or Manufacturing Engineering student in their 2nd, 3rd, or 4th year of studies
CAD Modeling Experience (ideally SolidWorks)
3D Printing Experience (using Simplify3d software)
Design & Build Experience (i.e. Robot team, Catapult Team, HPVC Team, or personal projects)

New, Posted 1 day ago

Principal Engineer, IT End User Compute

American Airlines

Fort Worth, TX 76101

New, Posted 8 hours ago

Lead Analytics & Automation Engineer

McKesson

Irving, TX 75039

Hybrid~ 22 min

Degree or equivalent and typically requires 7+ years of relevant experience.
Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field
7+ years of experience in business analysis, analytics, or business intelligence, with at least 2 years in a leadership or mentorship role
Proficiency in SQL and hands-on experience building dashboards in Power BI, Tableau, or Looker
Hands-on experience writing production-quality Python code (scripting, ETL/ELT, API integration); experience with RPA-to-AI/automation migration is a plus
Experience delivering analytics solutions in a modern data environment (e.g., Snowflake, Databricks, or comparable cloud platforms)
Strong understanding of BI best practices, data modeling, and end-to-end analytics delivery from requirements through UAT and adoption
Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future
The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days remote

OnsiteHealth InsuranceRetirement Benefit

Manager, AI Engineer

KPMG

Dallas, TX 75217

Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
Knowledge of AI security, data privacy, governance, and ethical AI frameworks
Strong problem-solving skills with the ability to translate complex technical concepts for executives
Excellent verbal and written communication skills, with experience creating client-facing deliverables
Willingness and ability to travel
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity

New, Posted 17 hours ago

Java Developer for AI Systems Training

SaidGig

Dallas, TX

~ 28 min OnsiteFlexible SchedulePaid Time Off

Manufacturing Engineer Asc (Level 1)

Lockheed Martin

Grand Prairie, TX 75051

Bachelor's degree in Manufacturing Engineering Technology, a similar field, or equivalent experience
Proven track record of data driven approach to solving problems
Strong communication skills
MUST BE A U.S. CITIZEN
This position is located at a facility that requires special access
The selected candidate must be able to obtain a Secret clearance
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret
Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
Schedule for this Position: 4x10 hour day, 3 days off per week
Relocation Available: Possible

Manufacturing Engineer

Delta Group Electronics

Grand Prairie, TX 75052

~ 28 min Onsite

Bachelor's degree in Engineering or equivalent combination of experience and education
Experience with electronic manufacturing processes
Intermediate Electronic Assembly skills
Thermal, Mechanical, and Materials Knowledge
Intermediate Operational Knowledge
Proficiency reading, writing, and speaking English

OnsiteHealth InsuranceRetirement Benefit

Director, AI Engineer

KPMG

Dallas, TX 75217

Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in consulting or technology organizations; AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus
Advanced degree from an accredited college or university in computer science, data science, engineering, or related field preferred; minimum of a Bachelor's degree from an accredited college or university is required
Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems such as chatbots and virtual assistants that handle complex, dynamic tasks and conversations
Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation
Skilled in designing multi-agent conversational AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency; experienced in conversational AI integration
Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices
Travel as needed
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

~ 28 min OnsiteFlexible SchedulePaid Time Off

Manufacturing Engineer Sr (Level 3)

Lockheed Martin

Grand Prairie, TX 75051

3+ years of related experience
Bachelor's degree in Manufacturing Engineering Technology or similar field
Experienced with manufacturing tooling (fixtures, cutters, and other shop tools) and CNC machinery
Experience reducing defects and increasing productivity/throughput
Proven track record of data driven approach to solving problems
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access. The selected candidate must be able to obtain a Secret clearance.
Clearance Level: Secret

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Manufacturing Engineer

PPG

Grand Prairie, TX 75052

~ 28 min Onsite

Only US Citizens, Green card holders, political asylees, or refugees are eligible to apply
Process improvement project experience is expected.
Must have a comprehensive solid understanding of manufacturing systems and technology, or related experience commensurate with the complexity associated with the PPG Aerospace manufacturing environment.
Proven technical leadership abilities.
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