Software Engineer 2 , Applied AI
Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Oct 22, 2026. Interview Kickstart scores B on the Alion truth index.
Who We Are
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A Comprehensive end-to-end learning platform
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Role Overview
In this role, you will work closely with the BU heads to design and build AI-native systems powered by LLMs, AI agents, and intelligent workflows. You will rapidly prototype and deploy AI tools and products that automate workflows, enhance internal systems, and unlock new AI-driven capabilities across the organization.
You will play a key role in building AI agents, autonomous workflows, and LLM-powered platforms that power learning, productivity, and knowledge systems.
This role is ideal for someone who enjoys building quickly, experimenting with emerging AI technologies, and turning ideas into production-ready systems.
What Will Excite Us?
At least 2 - 4 years of experience software development experience/CS degree building production-grade software systems
You are working on building Agentic AI projects or building them recently.
Strong programming experience in Python
Hands-on experience building LLM-powered applications, AI assistants, or agent-based systems
Experience working with LLM orchestration frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or similar tools
Familiarity with vector databases, embeddings, and Retrieval Augmented Generation (RAG) architectures
Experience integrating LLMs with external tools, APIs, and structured data sources
Understanding of prompt engineering, tool calling, and agent orchestration
Experience building and deploying AI systems from prototype to production, including considerations for reliability, latency, and cost
Strong understanding of backend systems, APIs, and scalable system design
A strong builder mindset with the ability to rapidly prototype and iterate on AI-driven systems
Interest in applying AI to learning systems, knowledge discovery, and productivity tools
What Will You Be Doing?
Design and build AI agents and autonomous workflows powered by large language models
Develop systems that combine LLMs, APIs, and external tools to automate complex workflows
Build Retrieval Augmented Generation (RAG) pipelines and knowledge retrieval systems
Experiment with modern AI orchestration frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, or similar tools
Build AI-powered tools that improve learning workflows, content generation, and internal productivity
Prototype and launch AI-first product ideas in collaboration with the founders
Evaluate and improve AI systems to ensure reliability, response quality, and performance
Optimize AI workflows for latency, cost efficiency, and scalability
Stay current with the rapidly evolving ecosystem of LLMs, AI agents, and applied AI tooling
Why Will You Enjoy Working with Us?
Permanent remote / work-from-home culture
Opportunity to work on a cutting-edge AI technology stack
An AI-first approach to solving real-world problems
Complete ownership and trust from leadership
Your ideas and concerns are actively heard by the leadership team
Freedom to experiment, fail, and learn
Rapid career progression for high performers
Work with a high-caliber team of engineers and industry experts
Learn how a fast-growing startup builds and scales.