GenAI engineer

Job Requirements

Who We Are:

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.

We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we're eager to hear from you. The achievers and courageous challenge-crushers we seek, have the following characteristics and skills.

If you've been building software for a few years, you've picked up real engineering instincts, and you're the person on your team who's already experimenting with agents and LLMs on the side - this is a chance to do that work for real, at enterprise scale, on production systems that matter.

What you will do:
• Build agentic features, hands-on. Work alongside senior engineers to design and ship AI-powered remediation capabilities: agent workflows, retrieval pipelines, evaluation loops.
• Write production code daily. Java/Spring Boot microservices and AI integrations on AWS.
• Learn the full lifecycle. From an idea in a design doc to something running in production, instrumented, monitored, and improved based on real usage.
• Bring fresh eyes. You're closer to the newest models, frameworks, and techniques than engineers who've been heads-down in one stack for a decade - we want that perspective in the room, not just deference to seniority.
• Grow fast. Work directly with senior engineers who'll push your technical depth, and take on more ownership as you earn it.

Our stack
• Java / Spring Boot microservices on AWS (Lambda, SQS, SNS, IAM, CloudWatch). AI stack: AWS Bedrock and AgentCore, MCP for tool integration, RAG pipelines with vector and graph-based retrieval, LLM-as-judge evaluation. Some Python and Go at the edges. You won't know all of this - we're more interested in how fast you pick things up than what's already on your resume.

What you will bring:
• 4+ years building software professionally - you've shipped real features, not just coursework or side projects, and you understand what "production" demands.
• Genuine curiosity about AI/agentic systems - you've built something with LLMs or agents, even outside of work: a side project, a hackathon entry, an experiment that didn't ship. We want to hear about it.
• Solid engineering fundamentals - distributed systems basics, APIs, cloud infrastructure (AWS). You need to know what good code and good design look like.
• You experiment and iterate ideas quickly and bring new perspectives

Nice to have
• Experience with multiple LLM APIs or agent frameworks
• Python or Go
• POCs using AI for coding, automation, or data work
• Contributions to open source AI/ML tooling.

Pay Range: $1,00,000-$1,20,000/Annum

Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.

Work Requirements:

This role is considered an on-site position located in Houston, TX

You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours.


Benefits

Full-time (Regular)
• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Referral program
• Vision insurance
• Short/Long Term Disability