Senior Software Engineer – AI Platform
New
A
AccelaGovernment SaaS
Remote Based - USFull-TimeSenior
Salary$170,000-$210,000
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Job Details
- Required Skills
- PythonFastAPIPrompt EngineeringLLM
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, or a related technical discipline, or equivalent practical experience.
- Strong experience designing prompts and workflows for Vision-Language Models (VLMs) and Large Language Models (LLMs), including GPT-family and Gemini models or equivalent.
- Demonstrated experience designing AI evaluation frameworks, including datasets, accuracy metrics, precision, recall, F1 scoring, and per-example analysis.
- Strong understanding of multimodal AI systems that combine document images with natural language prompts.
- Strong experience with Python, FastAPI, Pydantic, asynchronous programming, and API development.
- Experience optimizing AI systems for inference cost, latency, scalability, reliability, and operational performance.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to collaborate effectively across cross-functional teams.
Responsibilities
- Design, develop, and optimize prompts for Vision-Language Models (VLMs) that support document classification, text extraction, and code compliance validation.
- Design, build, and maintain automated AI evaluation pipelines that measure model accuracy, latency, precision, recall, F1 score, cost, and other quality metrics.
- Evaluate and benchmark Azure OpenAI, Google Gemini and other foundation models, recommending improvements based on quality, performance, and operational cost.
- Implement structured output extraction using function calling, JSON mode, Pydantic models, and schema validation techniques.
- Design, develop, and maintain Python-based AI services using FastAPI and asynchronous programming patterns.
- Partner with Product Management, Construction SMEs, and Engineering leadership to define technical strategy and translate complex regulatory and business requirements into scalable AI platform capabilities.
- Optimize AI workflows for scalability, reliability, latency, and operational efficiency while managing inference costs.
- Lead the technical design and architecture of AI platform capabilities, ensuring scalability, maintainability, and long-term extensibility.
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