LLM Application Engineer

• Design, develop, and deploy applications powered by large language models and intelligent workflow automation.
• Create agent-based systems that support reasoning, planning, memory management, tool integration, and multi-step task execution.
• Build orchestration frameworks that transform AI-generated outputs into dependable, observable, and secure business processes.
• Integrate AI solutions with APIs, databases, search platforms, internal services, and third-party systems.
• Implement prompt engineering, context management, structured responses, and tool-calling techniques to improve model performance.
• Develop evaluation methodologies, benchmarks, and datasets to monitor quality, accuracy, and regression risks.
• Troubleshoot issues across the AI stack, including model behavior, orchestration layers, backend systems, and user experience components.
• Optimize solutions for performance, scalability, response times, and operational cost.
• Partner with product and engineering stakeholders to convert business requirements into practical AI-driven solutions.
• Establish best practices for monitoring, experimentation, traceability, and continuous improvement of production AI systems.

• Strong software engineering background with experience building production-grade AI applications.
• Hands-on experience with large language models, generative AI technologies, or autonomous agent architectures.
• Proficiency in Python development.
• Experience designing prompts, workflows, evaluation frameworks, and AI behavior optimization strategies.
• Knowledge of LLM platforms, model APIs, and open-source model ecosystems.
• Ability to develop clean, maintainable, and scalable production code.
• Experience working across multiple layers of AI solutions, including models, systems, and end-user applications.
• Strong analytical and problem-solving capabilities in fast-paced and evolving environments.

Preferred Skills:

• Experience with AI orchestration frameworks and agent development platforms.
• Knowledge of vector databases, retrieval systems, and semantic search technologies.
• Experience building backend services, APIs, and distributed systems.
• Familiarity with machine learning frameworks such as PyTorch or JAX.
• Demonstrated success in iterative product development and continuous improvement initiatives.

Tech Stack

• Python
• LLM APIs and model providers, including OpenAI-compatible APIs and open-weight models
• Agent frameworks and orchestration systems
• Vector databases and retrieval systems
• Backend services, APIs, and distributed systems
• PyTorch / JAX

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SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let’s work better together, we mean it. You’ll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at https://sgainc.com/.