Senior AI Software Engineer (Full Stack)

ASAL TECHNOLOGIES; Palestine (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

ASAL AI R&D group seeks Senior AI Software Engineers who thrive at the intersection of software engineering and applied AI. You will design, implement, and manage robust AI-centric solutions driven by LLMs, RAG, and AI agents, building end-to-end systems across UI, backend, data pipelines, and reasoning layers.

This hands-on role demands delivering scalable, production-grade software with a focus on reliability, latency, and security while collaborating across product and project initiatives.

Qualifications

• BSc in Computer Science, Software Engineering, AI, or a related discipline.
• 4+ years of professional software engineering experience delivering production systems.
• 2+ years of hands-on experience building AI-centric systems (LLM-based, RAG, agentic AI, or ML-driven applications).
• Demonstrated experience delivering and operating LLM-based solutions in production (LLMOps).
• Ability to contribute meaningfully across multiple layers of an application stack.
• Strong written and verbal English communication skills.
• Strong collaboration, analytical, and organizational skills.
• Extra Credit Experience with multimodal GenAI: text, image, document understanding, or multimodal RAG.

Responsibilities

• Design and implement AI-first application features driven by LLMs retrieval pipelines and AI reasoning workflows
• Build optimize and maintain RAG pipelines including chunking strategies indexing retrieval quality grounding citation mechanisms and evaluation
• Develop and govern prompt factories prompt templating versioning testing and reuse across solutions
• Contribute across the full application stack front-end integration backend APIs and services and data ingestion and processing layers
• Design AI systems with production constraints in mind latency cost reliability observability and safe fallback behavior
• Apply Agile Scrum Kanban methodologies to deliver incremental testable maintainable software
• Use AI-assisted development tools responsibly validating all outputs through testing and peer review
• Write clean maintainable well-tested code lead and participate in code reviews
• Produce and maintain technical documentation design notes architecture diagrams runbooks
• Mentor junior and Train-to-Hire TTH engineers through structured technical guidance and code reviews
• Uphold ASAL AI R&D standards for security privacy and information protection

Skills

AI-centric systems

LLMOps

Full-stack capable

English communication

Collaboration

Multimodal GenAI

AI-centric software

Education

BSc in Computer Science or related

Job description

ASAL AI R amp D group is seeking Senior AI Software Engineers who thrive at the intersection of software engineering and applied AI. In this role you ll be responsible for designing constructing and managing robust AI-centric solutions where technologies like Large Language Models LLMs Retrieval-Augmented Generation RAG and AI agents form the foundation of the system rather than being added features. You Will contribute end-to-end across the stack of both product and project initiatives from user interfaces and backend services to data pipelines and AI reasoning layers. This is a hands-on role for engineers who want to build reliable AI systems that operate at scale.

Key Responsibilities

• Design and implement AI-first application features driven by LLMs retrieval pipelines and AI reasoning workflows
• Build optimize and maintain RAG pipelines including chunking strategies indexing retrieval quality grounding citation mechanisms and evaluation
• Develop and govern prompt factories prompt templating versioning testing and reuse across solutions
• Contribute across the full application stack front-end integration backend APIs and services and data ingestion and processing layers
• Design AI systems with production constraints in mind latency cost reliability observability and safe fallback behavior
• Apply Agile Scrum Kanban methodologies to deliver incremental testable maintainable software
• Use AI-assisted development tools responsibly validating all outputs through testing and peer review
• Write clean maintainable well-tested code lead and participate in code reviews
• Produce and maintain technical documentation design notes architecture diagrams runbooks
• Mentor junior and Train-to-Hire TTH engineers through structured technical guidance and code reviews
• Uphold ASAL AI R amp D standards for security privacy and information protection

Qualifications

• BSc in Computer Science, Software Engineering, AI, or a related discipline.
• 4+ years of professional software engineering experience delivering production systems.
• 2+ years of hands-on experience building AI-centric systems (LLM-based, RAG, agentic AI, or ML-driven applications).
• Demonstrated experience delivering and operating LLM-based solutions in production (LLMOps).
• Ability to contribute meaningfully across multiple layers of an application stack.
• Strong written and verbal English communication skills.
• Strong collaboration, analytical, and organizational skills.
• Extra Credit Experience with multimodal GenAI: text, image, document understanding, or multimodal RAG.