Software Engineer – AI

This is a fully remote position, open to applicants in Canada, +1 more country.

📋 Description

• Develop production AI experiences within Network Solutions, encompassing conversational agents, business and website development, knowledge and FAQ agents, content experiences, domain discovery, and intelligent automation.

• Convert product requirements into actionable AI solutions utilizing LLMs, RAG, tool invocation, agents, deterministic workflows, or traditional software when suitable.

• Create production AI services employing Python, FastAPI, asynchronous workers, PostgreSQL, Redis, queues, model APIs, and external tools.

• Establish dependable tool-calling agents and multi-step workflows that engage with internal APIs, MCP tools, business systems, and knowledge resources.

• Design event-driven workflows incorporating retries, dead-letter handling, idempotency, and failure recovery.

• Develop and enhance RAG systems that address ingestion, chunking, embeddings, hybrid retrieval, reranking, metadata filtering, context construction, and citations.

• Integrate models from OpenAI, Anthropic, Google, xAI, and open-weight ecosystems.

• Conduct AI evaluations using curated datasets, regression tests, retrieval metrics, LLM-as-judge methodologies, groundedness checks, and tool-execution assessments.

• Troubleshoot hallucinations, retrieval failures, incorrect tool usage, agent loops, latency challenges, provider issues, and unexpected inference expenses.

• Decompose product objectives into manageable components, validate assumptions, implement solutions, and engage in architectural discussions with senior engineers.

• Transform product objectives into testable technical tasks and prototype alternative solutions.

• Assess quality, latency, reliability, safety, and costs, utilizing those insights to enhance solutions.

• Oversee implementation across APIs, workflows, data, queues, model integration, evaluations, observability, and production support for assigned features.

• Leverage AI coding agents to boost engineering efficiency while upholding testing discipline, security, maintainability, and code quality.

⛳️ Requirements

• Minimum of 3 years of professional software engineering experience in building production backend, distributed, or cloud-based systems.

• At least 1 year of practical experience in developing Applied AI, LLM, RAG, NLP, or agent-based applications.

• Proficient in Python, including FastAPI, asynchronous programming, Pydantic, SQLAlchemy or SQLModel, and production API development.

• Strong understanding of backend and distributed systems principles, including REST APIs, concurrency, background processing, caching, reliability, and production debugging.

• Practical experience with RabbitMQ, Kafka, Azure Service Bus, or similar queue and messaging architectures is essential.

• Experience in integrating LLM APIs and creating structured outputs, function calling, tool invocation, or agent execution workflows.

• Background in building or contributing to a RAG or knowledge-grounded system, covering retrieval, embeddings, indexing, context construction, and evaluation.

• Familiarity with PostgreSQL and data modeling, with exposure to Redis, pgvector, vector databases, or hybrid search technologies.

• Proven experience using AI coding agents such as Cursor, Claude Code, Codex, or similar tools as an integral part of software engineering tasks.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Flexible working hours and remote work options.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and continuous learning.

• Collaborative and innovative work environment.