Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow.
Section 1: Position Summary
As a Software Engineer in the Ascensus AI Program, you will help turn modern LLM capabilities into reliable, observable, production-grade software used by real business teams every day.
This is a mid-level software engineering role for someone who is strong in core engineering fundamentals and excited to build practical AI-powered systems.
Section 2: Job Functions, Essential Duties and Responsibilities
You will work on:
AI-powered applications and agents
Retrieval-augmented generation, or RAG, pipelines
Agent workflows and orchestration
Prompt strategies and tool integrations
Secure integrations with enterprise systems
Observability, testing, and production reliability
AI-assisted software development using tools such as Cursor, Claude Code, or similar platforms
We are looking for engineers who:
Move quickly
Take ownership
Learn fast
Communicate clearly
Care about quality
Build secure, maintainable software
Are excited to work in a fast-moving AI environment
You do not need to be an expert in every part of the AI stack on day one, but you should be curious, technically strong, and motivated to grow.
Section 3: Experience, Skills, Knowledge Requirements
Required Qualifications
3-7 years of professional software engineering experience.
Bachelor’s degree in Computer Science, Computer Information Systems, Business Information Systems, a related technical field, or equivalent practical experience.
Strong experience with one or more modern programming languages, such as:
Python
JavaScript / TypeScript
SQL
Similar modern development platforms
Experience building production applications, APIs, integrations, backend services, workflow logic, or similar software components.
Familiarity with LLM-powered systems, such as:
RAG
Chatbots
Agent workflows
Tool use
Prompt engineering
AI-enabled application development
Strong software engineering fundamentals, including:
Clean code
Source control
Unit testing
CI/CD
Refactoring
Design patterns
Maintainability
Working experience with SQL for data inspection, analysis, troubleshooting, or integration.
Ability to read application logs, traces, and telemetry to investigate issues and identify root causes.
Strong problem-solving skills.
Clear communication skills with technical and non-technical audiences.
Comfort working in ambiguous, fast-moving environments.
Curiosity, ownership, and the ability to learn new technologies quickly.
Preferred Qualifications
Experience with one or more of the following is helpful, but not required:
Building or contributing to AI/LLM-based systems
RAG pipelines
Chatbots or conversational AI products
Agentic applications
Prompt strategies
Tool-calling workflows
Agent orchestration
Durable workflows or platforms such as Temporal
Model Context Protocol, function calling, or enterprise tool integrations
REST APIs, service-oriented architectures, or event-driven systems
Azure, Azure AI Foundry, Azure DevOps, or related Microsoft cloud tools
Salesforce or other enterprise platforms
Observability tools such as Langfuse, New Relic, OpenTelemetry, or similar platforms
AI-powered development tools such as Cursor, Claude Code, GitHub Copilot, or similar tools
Technical documentation, diagrams, decision records, or design notes
Working with quality engineers, SDETs, operations engineers, support teams, and product owners
What Success Looks Like
You will be successful in this role if you:
Turn ambiguous business needs into simple, working software.
Use AI-assisted development tools to move faster without sacrificing quality.
Build AI systems that are observable, testable, and reliable enough for production use.
Care about retrieval quality, prompt behavior, tool accuracy, user experience, and measurable business outcomes.
Learn unfamiliar systems quickly.
Communicate clearly and ask good questions.
Make practical technical recommendations.
Take ownership from idea through design, implementation, deployment, monitoring, and improvement.
Help the team improve how it builds, tests, operates, and evolves enterprise AI software.
Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.
Skills Required
- 3-7 years of professional software engineering experience
- Bachelor's degree in Computer Science or related technical field, or equivalent practical experience
- Strong experience with modern programming languages such as Python, JavaScript/TypeScript, and SQL
- Experience building production applications, APIs, integrations, backend services, or workflow logic
- Familiarity with LLM-powered systems (RAG, chatbots, agent workflows, tool use, prompt engineering)
- Strong software engineering fundamentals: clean code, source control, unit testing, CI/CD, refactoring, design patterns, maintainability
- Working experience with SQL for data inspection, analysis, troubleshooting, or integration
- Ability to read application logs, traces, and telemetry to investigate issues and identify root causes
- Strong problem-solving skills and clear communication with technical and non-technical audiences
- Comfort working in ambiguous, fast-moving environments; curiosity, ownership, and ability to learn quickly
- Experience building or contributing to AI/LLM systems, RAG pipelines, chatbots, agentic applications, prompt strategies, or tool-calling workflows
- Experience with durable workflow platforms such as Temporal
- Familiarity with Model Context Protocol, function calling, or enterprise tool integrations
- Experience with REST APIs, service-oriented architectures, or event-driven systems
- Experience with Azure, Azure AI Foundry, Azure DevOps, or related Microsoft cloud tools
- Experience with Salesforce or other enterprise platforms
- Familiarity with observability tools such as Langfuse, New Relic, or OpenTelemetry
- Experience using AI-powered development tools such as Cursor, Claude Code, or GitHub Copilot
- Experience creating technical documentation, diagrams, decision records, or design notes
- Experience collaborating with quality engineers, SDETs, operations engineers, support teams, and product owners
Ascensus Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ascensus and has not been reviewed or approved by Ascensus.
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Flexible Benefits — Flexible and remote options are positioned as a meaningful part of the overall rewards experience and can help offset base-pay concerns for some roles.
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Healthcare Strength — Healthcare coverage is presented as broad and modern, including medical, dental, vision, mental-health resources, and navigation support programs.
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Parental & Family Support — Family-oriented benefits stand out through paid parental leave and practical supports like breast-milk shipping for traveling, breastfeeding employees.
Ascensus Insights
What We Do
Ascensus helps millions of people save for what matters—retirement, education, and healthcare. We’re also one of the savings plan industry’s leading providers of outsourced services. Our technology, market insights, and business knowledge enhance the growth and success of our partners, their clients, and savers. Ascensus is the largest independent recordkeeping services provider, third-party administrator, and government savings facilitator in the United States. For more information, visit ascensus.com.
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