Senior Software Engineer (Full Stack)

SENIOR SOFWARE ENGINEER (FULL STACK)
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The Role
You will join a company building the
digital infrastructure for grant funding
, helping organizations spend less time navigating funding logic, forms, and administration and more time on the projects and impact that matter.
The platform brings together
research across 18,000+ funding programmes, AI-supported analysis and application drafting, expert review, and ongoing grant management
. AI handles what can scale, while people bring experience and judgement where it matters.
As a
Senior Software Engineer
, you will work end-to-end on
AntragPlus
, contributing across the
backend, frontend, infrastructure, and AI pipeline
at the core of the platform.
You will be one of the company's
first engineering hires
, with significant ownership over technical decisions, engineering standards, architecture, and the product itself. You will own problems from the initial conversation with the grant team through to production, rather than simply working from predefined tickets.
Position: Senior Software Engineer (Full Stack)
Seeking a highly autonomous
Senior Software Engineer
with strong full-stack experience who can build and ship product features end-to-end while contributing deeply to
AI pipelines, infrastructure, production systems, and technical architecture
.
The ideal candidate combines strong technical depth with a
high-ownership mindset
, a usability-first approach, and the ability to identify and solve problems independently in an environment where not everything is fully defined yet.
Responsibilities
Product Development & Full-Stack Engineering
Build and ship
end-to-end product features
independently, including the user interface.
Work confidently across the
frontend, backend, infrastructure, and AI pipeline
.
Build from real user problems by working closely with the
grant team
, rather than simply implementing predefined tickets.
Develop interfaces with a
usability-first mindset
, ensuring the product genuinely works for grant writers.
Take ownership of problems from initial discovery through to
production deployment
.
Contribute to reducing the time from starting a new project to a
finished, submitted application
through product improvements, automation, and better workflows.
AI Development & Evaluation
Advance the platform's AI capabilities through
prompt engineering, context management, cost control, and multi-provider AI setups
.
Work with AI providers including
AWS Bedrock, Anthropic, and OpenAI
.
Build and operate
AI pipelines in production
, going beyond simply calling an API.
Develop and own the company's
AI evaluation practice
, including prompt quality, model selection, and regression detection.
Work with
AI agents and tool-calling workflows
where applicable.
Use
AI-native development tools such as Claude Code or Cursor
as part of your engineering workflow.
Production, Infrastructure & Reliability
Operate, monitor, and debug the
live production environment
.
Work with tools including
Sentry, CloudWatch, and Postgres performance monitoring
.
Contribute to infrastructure running on
AWS
, including ECS and RDS.
Maintain and improve production
reliability and performance
.
Identify and resolve technical issues with a strong
debugging instinct in live systems
.
Engineering Architecture & Technical Leadership
Shape the company's
technical architecture, code quality, engineering standards, and technical roadmap
.
Help establish how the engineering team works and the technical standards it follows.
Identify better technical solutions proactively rather than waiting for predefined tasks.
Take complete ownership of technical problems and drive them through to resolution.
Contribute to building scalable technical foundations as one of the company's
first engineering hires
.
Requirements
Several years of professional experience with
TypeScript and Node.js
.
Strong depth in
Postgres
, including
JSONB, query performance, and migrations
.
Strong full-stack capabilities, with experience across:
Next.js 15 / React Query
Express / BullMQ
AWS (ECS, RDS)
Terraform
Hands-on experience building and operating AI pipelines in production
, beyond simply integrating an AI API.
Experience working with
LLMs and AI-powered applications
.
Strong understanding of
prompt engineering, context management, model selection, and AI evaluation
.
Strong
debugging skills in live production systems
.
High level of
autonomy and ownership
, with the ability to identify problems, develop solutions, and close the loop without hand-holding.
Usability-first mindset
, with the ability to build interfaces that genuinely work for end users.
Comfortable working in an environment where
not everything is fully defined
and where engineers are expected to proactively shape solutions.
AI-native approach to software development
, with familiarity using tools such as
Claude Code or Cursor
.
Nice to Have
German language skills a