Senior AI Engineer

Summary

Join Blue Coding as a Senior Data Engineer and contribute to the development of advanced SaaS solutions for a global leader in government technology. You will design and implement AI capabilities, build and deploy LLMs and SLMs, collaborate on microservices, and ensure the performance and security of AI-powered services. This fully remote role offers the chance to work directly with the client's team, gaining valuable experience and building connections. The ideal candidate possesses 10+ years of full-stack engineering experience, strong backend skills (Python, Java, or C#), and proven experience embedding AI into SaaS applications. You will be working with cutting-edge technologies and contributing to impactful projects.

Requirements

• 10+ years of experience in full-stack engineering, including large-scale product development
• Strong expertise in backend technologies such as Python, Java, or C#
• Proven hands-on experience embedding AI into SaaS applications
• Deep knowledge of vector databases (e.g., Pinecone, Weaviate), hybrid search, and RAG pipelines
• Proficiency in designing prompt templates and semantic agents
• Familiarity with Langchain frameworks and MLOps best practices

Responsibilities

• Design and implement AI capabilities, including RAG architectures, agentic frameworks, and semantic search, into SaaS applications
• Build, deploy, and scale LLMs and SLMs in production environments
• Collaborate with architects and engineers to develop microservices and expose them as APIs
• Define and maintain vector store schemas, embedding orchestration, and prompt engineering strategies
• Ensure performance, scalability, and security of AI-powered services in compliance with enterprise-grade standards
• Contribute to the delivery of high-quality code through documentation, communication, and agile development practices

Preferred Qualifications

• Experience working in the GovTech sector or on projects with high security, compliance, or regulatory requirements
• Familiarity with court or legal workflow automation platforms
• Contributions to open-source AI projects or publications in the field of applied AI
• Experience with document processing pipelines (e.g., parsing, chunking, vectorizing)
• Background in MLOps (CI/CD for ML, model monitoring, retraining pipelines)
• Experience with cloud infrastructure (AWS/GCP/Azure) for scalable AI deployments
• A strong product mindset and ability to collaborate closely with Product and Design teams

Benefits

• Salary in USD
• 100% Remote