Senior Software Engineer
Listed on 2026-01-02
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Software Development
AI Engineer, Machine Learning/ ML Engineer
Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across various industries. Our unique global approach provides tailored solutions, transforming the most influential brands and organizations worldwide.
What You Will Do- Work on complex, high-volume solutions leveraging technologies such as Angular, React, NextJS, Spring Boot, Python, .NET, and platforms like AWS, GCP, or Azure
- On certain projects, design and build advanced solutions involving agentic AI workflows, ML-powered decision engines, and custom chatbots
- Tackle data challenges to drive business value, whether through traditional analytics or by preparing data for advanced AI/ML models
- Implement APIs on AWS, automate infrastructure as code using Terraform, and collect/analyze data for cloud readiness and security assessments
- Engage directly with clients and stakeholders to gather requirements, ensuring solutions are meaningful and impactful
- Lead your team in client demos and other presentations to develop and showcase your leadership skills
- Mentor junior team members and support practice and company development through R&D, peer training, and reusable solution accelerator development
- AI-Assisted Engineering:
You'll have access to AI-powered tools like Git Hub Copilot and Cursor to boost your productivity and code quality. We adopt tools that fit the project, like Amazon Q or Git Lab Duo, to align with client ecosystems - Accelerated Design & Strategy:
You can use our proprietary multi-LLM platform, OmniAI (integrating OpenAI, Google, and Anthropic), to accelerate solution design, architecture, and estimation in a secure environment - Opportunity for Advanced AI Projects:
For clients seeking a competitive edge, you may work on projects building sophisticated agentic AI workflows with CrewAI, deploying ML-powered decision engines, or developing production‑grade chatbots - Continuous Learning:
Supported by our dedicated "AI Tiger Team," you'll have the resources to continuously learn and explore emerging tools, ensuring you stay at the forefront of modern software development practices
- An experienced and driven software engineer with 3-5 years of experience in consulting or a technical industry
- An interest in the practical application of AI in software development; hands‑on experience with AI/ML or LLMs is a plus, but not required
- You enjoy collaborating with a smart and effective team that continually seeks to provide value over what is asked
- You often become a subject matter expert on a topic and are sought out by others on your team for your technical expertise and opinion
- You have a demonstrated ability to quickly learn and adopt new technologies, frameworks, and standards, with a curiosity for emerging AI tools
- You are comfortable presenting technical concepts to a client audience, both business and technical
- You have a degree in Computer Science/MIS or similar work experience matching the above
- Health, vision, dental, and life insurance
- Prescriptions, fertility and adoption benefits
- Community service days, paid parental leave, PTO, 14 paid holidays
- Matching 401(k), Healthcare & Dependent Flexible Spending Accounts, and disability benefits
- Competitive salary
Our employees have the flexibility to work remotely two days a week. We expect team members to spend three days in person, with the freedom to choose the days and times that best suit them, their project, and their teams.
TravelFor our consulting roles, our goal is to minimize travel, and most projects do not require extensive travel. While some projects may involve up to 80% travel for a period, the annual average for team members is typically 10%–30%.
CompensationDallas, TX $–$
Equal OpportunityAll qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, national origin, age, genetic information, veteran status, or disability.
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