Senior Software Engineer

Lead the end-to-end architecture, development, deployment, and operation of complex software and AI solutions.

Build production-grade copilots, autonomous agents, multi-agent workflows, and retrieval-augmented generation systems.

Establish reusable architecture patterns, frameworks, APIs, and platform capabilities that accelerate AI adoption across teams.

Design secure integration with enterprise applications, operational workflows, and structured and unstructured data sources.

Establish evaluation frameworks covering accuracy, groundedness, relevance, safety, latency, reliability, user experience, and cost.

Implement comprehensive observability for applications, models, and agents, including drift, failures, anomalous behavior, and quality degradation.

Make architectural decisions involving model selection, orchestration, data retrieval, memory, caching, scalability, resiliency, and cost optimization.

Apply responsible-AI, security, privacy, compliance, accessibility, and data-governance requirements throughout the engineering lifecycle.

Anticipate and mitigate risks such as prompt injection, data leakage, excessive permissions, hallucinations, unsafe actions, and model dependency.

Lead technical investigations and resolution of complex production incidents.

Partner with product, data science, security, compliance, and business teams to convert ambiguous opportunities into executable technical strategies.

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Advanced proficiency in one or more languages such as C#, Python, Java, JavaScript, or TypeScript.

designing, delivering, and operating distributed cloud services or enterprise-scale platforms.

Practical experience building AI-enabled applications using LLMs, prompt engineering, embeddings, vector search, RAG, and agentic workflows.

Strong understanding of system design, distributed systems, APIs, data architecture, resiliency, security, performance, and observability.