AWS Bedrock Developer (GenAI Engineer) | $70/hr Contract | Dallas, TX | 6-Month Project

AWS Bedrock Developer

📍 Location: Dallas, TX (Onsite)
📅 Contract Length: 6 Months
💵 Pay Rate: $70 per hour
💼 Employment Type: Contract | Mid-Senior Level
🛂 Visa Sponsorship: Not available
🚚 Relocation Assistance: Not available
👤 Openings: 1

About the Role

We are seeking an experienced AWS Bedrock Developer / GenAI Engineer with a strong background in cloud computing and generative AI. This role will focus on transforming Contact Center applications using GenAI and leveraging AWS Bedrock to deliver scalable, innovative solutions.

You’ll work hands-on with AWS services, Terraform, and automation frameworks, helping to design, integrate, and optimize cutting-edge GenAI solutions in a mission-critical environment.

Key Responsibilities

• Design and implement GenAI solutions using AWS Bedrock.

• Lead transformation of Contact Center applications with generative AI capabilities.

• Automate server and infrastructure provisioning using Terraform.

• Develop and optimize AWS Lambda functions, Step Functions, and SSO integrations.

• Integrate on-premise systems with AWS Bedrock for seamless enterprise adoption.

• Collaborate with cross-functional teams to deliver scalable and secure architectures.

Must-Have Skills

• 10+ years of IT experience.

• 7+ years of AWS Cloud Computing expertise.

• Proven hands-on experience with AWS Bedrock for GenAI solutions.

• Strong experience with Terraform for infrastructure as code.

• Expertise in AWS Lambda, Step Functions, and SSO integrations.

• Experience integrating on-premise systems with AWS Bedrock.

Ideal Candidate Profile

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

• Strong technical communicator, able to work with technical and business stakeholders.

• Ability to design and implement scalable, secure, and innovative AI-driven solutions.

Key Skills

AWS Bedrock | GenAI | AWS Cloud | Terraform | AWS Lambda | Step Functions | SSO Integrations | Contact Center Transformation | Cloud Automation

⚡ This role offers the chance to work at the forefront of Generative AI innovation in the enterprise space, shaping next-generation solutions for large-scale applications.

Full-Stack Developer | €4,354–€6,218 + 13th-Month Bonus | Hybrid Utrecht, Netherlands

Full-Stack Developer

📍 Location: Utrecht, Netherlands (Hybrid – onsite & remote)
💼 Employment Type: Full-time
💵 Salary Range: €4,354 – €6,218 gross per month (Annual: €60,782 – €84,939)
🎁 Bonus: 13th-month bonus included
🌴 Vacation: 37 days per year

About the Role

Are you a versatile engineer who thrives on building robust, full-stack solutions from the ground up? This role offers you the opportunity to design and develop the digital backbone powering AI-driven solutions in the real estate market.

You’ll work closely with AI engineers, data scientists, and DevOps specialists to deliver high-performance applications and cutting-edge GenAI solutions. From frontend user interfaces to backend systems and secure authentication protocols, you’ll play a key part in shaping scalable, intelligent platforms.

Key Responsibilities

• Design, build, and test modern, intuitive frontend applications (React preferred).

• Develop and maintain robust backend systems in Python.

• Implement secure authentication flows (e.g., WSO2).

• Help shape and extend the design system using Tailwind or Bootstrap.

• Optimize application performance and reduce system latency.

• Manage cloud environments (AWS) in collaboration with DevOps.

• Apply coding best practices and contribute to clean, scalable solutions.

• Stay curious and explore GenAI and multi-agent technologies.

Requirements

✅ 5+ years of full-stack development experience
✅ Strong frontend skills (React preferred)
✅ Solid backend skills (Python ideal)
✅ Experience with UI kits and design systems (Tailwind, Bootstrap)
✅ Familiarity with vector databases & performance optimization
✅ Experience with authentication flows (WSO2 desirable)
✅ Cloud/DevOps knowledge (AWS preferred)
✅ Fluency in English & Dutch

Bonus points if you:
⭐ Quickly adapt to new technologies & frameworks
⭐ Communicate clearly with both tech and non-tech stakeholders
⭐ Thrive in a fast-paced, collaborative environment

What’s on Offer

💰 Competitive salary: €4,354 – €6,218 per month gross
🎁 13th-month bonus
🌴 37 vacation days annually
🏦 Premium pension plan (only 4% employee contribution)
💻 Choose your own laptop & phone OR receive €30/month net reimbursement
🚆 Commuting support: €0.23/km allowance or 100% NS Business Card coverage
🏡 Hybrid work setup with €2.40/day home working allowance
📚 €1,500 annual training budget for professional development
🩺 Collective health insurance discounts (up to 10%)

Culture & Environment

✨ Informal, collaborative atmosphere
🌍 Diverse and inclusive teams
⚖️ Strong work-life balance with hybrid working as the standard
🤝 Empowering environment with freedom for initiatives and self-management

Senior / Lead Machine Learning Engineer | Python, PyTorch, AI | Fully Remote | $180,000–$215,000

Senior / Lead Machine Learning Engineer

🌍 Location: Fully Remote
💼 Employment Type: Full-time
💰 Compensation: $180,000 – $215,000 (base salary, depending on experience)
📊 Benefits: Full package included

About the Role

We’re seeking a Senior/Lead ML Engineer to drive the development of advanced enterprise AI and intelligent data applications. This is a hands-on role that combines machine learning, data engineering, and software development to deliver practical, production-ready solutions with measurable impact.

If you’re excited about tackling complex engineering challenges in high-standard environments, this role offers strong career growth opportunities, including senior technical leadership pathways.

Key Responsibilities

• Lead platform upgrades to ensure products remain cutting-edge and effective.

• Design and manage dynamic dashboards using Python SDKs to turn data into actionable insights.

• Optimize data pipelines and access patterns for performance and scalability.

• Troubleshoot and resolve runtime and performance challenges.

• Architect robust, scalable, and user-friendly applications designed for long-term growth.

• Collaborate closely with Product Managers to improve usability and ensure real-world impact.

What You Won’t Do

❌ Work in silos – this role requires versatility across ML, data systems, and software engineering.
❌ Focus solely on research without real-world implementation.

Tech Stack

• Languages & Tools: Python (primary), Docker, Git

• Libraries & Frameworks: pandas, numpy, scikit-learn, PyTorch

• Systems & Processes: CI/CD pipelines, monitoring tools, testing frameworks

Requirements

✅ 4+ years of professional Python software engineering with experience in production ML deployment (beyond prototyping).
✅ Proven experience with the end-to-end ML lifecycle: model development → deployment → monitoring.
✅ Strong production systems background in rigorous engineering environments (Big Tech or top-tier startups preferred).
✅ Bachelor’s degree in Computer Science from a top 15 university (Ivy League, Stanford, MIT, CMU, etc.).
✅ U.S. Citizenship and ability to obtain a government security clearance.

Preferred Qualifications

• Experience in defense-related applications.

• Exposure to multiple programming languages and diverse tech stacks.

Soft Skills

• Strong written and verbal communication.

• Pragmatic approach with a focus on delivering incremental value.

• Collaborative, with the ability to mentor and influence peers.

Candidate Profile – Not a Fit If

🚫 Job hopper (<2 years per role).
🚫 Focused mainly on research/data science without production deployment.
🚫 Strong theoretical ML background but lacking hands-on implementation.
🚫 No experience with CI/CD, monitoring, or scalable architecture.
🚫 Consulting/contract-heavy career history.

Compensation & Benefits

💰 Base Salary: $180,000 – $215,000
📦 Benefits: Comprehensive full package
🛫 Travel: Occasional, interview travel reimbursed
📍 Relocation: Not available

👉 Ready to shape the future of AI-driven enterprise applications? Apply now and step into a role where your engineering expertise drives real-world innovation.