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Senior Python Engineer (EspaLabs) 2
Job Location:
Monthly Salary:
Posted:
24 July 2026 (30+ days ago)
Posted:
Application Deadline:
28 October 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Senior Software Engineer (Remote)
About Us
We are an early-stage AI startup building the first AI-native productivity assistant that
seamlessly integrates into your digital life to handle email calendars contacts and tasks and
make sure you never drop the ball. Backed by leading venture capital firms including Village
Global Neo SV Angel and researchers and executives from Anthropic Microsoft Cognition
Quora Atlassian and Waymo were assembling a world-class team passionate about building
scalable human-aligned AI systems that transform how life gets done.
Our founding team includes repeat entrepreneurs AI researchers and early engineers from
companies such as Meta Palantir Dropbox and Databricks. Collectively weve built products
used by millions led teams at unicorn-stage AI companies raised over $100 million in venture
capital and achieved exits to Fortune 500 firms. Together we bring deep expertise across AI
systems design large-scale engineering and growth at the intersection of technology and
human productivity.
The Role
As a Software Engineer youll report directly to our CTO and own the design and implementation elements of our core agentic infrastructure - from system architecture and data pipelines to the reasoning and orchestration layers that make our agents intelligent and reliable.
Youll work closely with the founders to define the product roadmap scale our AI systems and shape the companys engineering culture from the ground up. This is a hands-on high-impact role for a builder who thrives in early-stage environments.
What Youll Do
Design build and scale core backend systems for an autonomous AI assistant platform.
Architect agentic systems capable of real-time reasoning tool-use and long-term memory.
Develop agent orchestration frameworks integrating LLMs APIs and user-facing logic.
Collaborate with founders on technical vision product direction and infrastructure decisions.
Establish best practices for code quality reliability and scalable experimentation.
Who You Are
5 years of software engineering experience ideally in systems-level or backend development.
Strong systems design thinking - you approach problems architecturally.
Experienced agent builder - youve built or contributed to agentic frameworks multi-step reasoning systems or autonomous tools.
Experience with infrastructure - containers queues (redis queues kafka sqs etc) caching layer etc.
Experience with AWS and its primitives (ECS EC2 lambda KMS etc)
Proficient in Python (experience with LangChain LlamaIndex or similar frameworks a plus).
Understanding of LLM APIs context engineering and retrieval-augmented generation (RAG).
Excited by early-stage ambiguity and the opportunity to build foundational technology from scratch.
Nice to Have
Prior experience as an early startup team member.
Experience integrating AI with real-world tools or enterprise systems.
Track record of building and deploying production-grade AI or ML systems.
Interest in human-AI collaboration reasoning architectures and long-horizon autonomy.
Why Join Us
Work with a tight-knit team pushing the boundaries of agentic AI.
Backed by top-tier early-stage investors who believe in the vision.
Opportunity to help define the culture values and engineering DNA of a company from
day one.
Building a product from pre-launch with no legacy code and lots of autonomy
About Us
We are an early-stage AI startup building the first AI-native productivity assistant that
seamlessly integrates into your digital life to handle email calendars contacts and tasks and
make sure you never drop the ball. Backed by leading venture capital firms including Village
Global Neo SV Angel and researchers and executives from Anthropic Microsoft Cognition
Quora Atlassian and Waymo were assembling a world-class team passionate about building
scalable human-aligned AI systems that transform how life gets done.
Our founding team includes repeat entrepreneurs AI researchers and early engineers from
companies such as Meta Palantir Dropbox and Databricks. Collectively weve built products
used by millions led teams at unicorn-stage AI companies raised over $100 million in venture
capital and achieved exits to Fortune 500 firms. Together we bring deep expertise across AI
systems design large-scale engineering and growth at the intersection of technology and
human productivity.
The Role
As a Software Engineer youll report directly to our CTO and own the design and implementation elements of our core agentic infrastructure - from system architecture and data pipelines to the reasoning and orchestration layers that make our agents intelligent and reliable.
Youll work closely with the founders to define the product roadmap scale our AI systems and shape the companys engineering culture from the ground up. This is a hands-on high-impact role for a builder who thrives in early-stage environments.
What Youll Do
Design build and scale core backend systems for an autonomous AI assistant platform.
Architect agentic systems capable of real-time reasoning tool-use and long-term memory.
Develop agent orchestration frameworks integrating LLMs APIs and user-facing logic.
Collaborate with founders on technical vision product direction and infrastructure decisions.
Establish best practices for code quality reliability and scalable experimentation.
Who You Are
5 years of software engineering experience ideally in systems-level or backend development.
Strong systems design thinking - you approach problems architecturally.
Experienced agent builder - youve built or contributed to agentic frameworks multi-step reasoning systems or autonomous tools.
Experience with infrastructure - containers queues (redis queues kafka sqs etc) caching layer etc.
Experience with AWS and its primitives (ECS EC2 lambda KMS etc)
Proficient in Python (experience with LangChain LlamaIndex or similar frameworks a plus).
Understanding of LLM APIs context engineering and retrieval-augmented generation (RAG).
Excited by early-stage ambiguity and the opportunity to build foundational technology from scratch.
Nice to Have
Prior experience as an early startup team member.
Experience integrating AI with real-world tools or enterprise systems.
Track record of building and deploying production-grade AI or ML systems.
Interest in human-AI collaboration reasoning architectures and long-horizon autonomy.
Why Join Us
Work with a tight-knit team pushing the boundaries of agentic AI.
Backed by top-tier early-stage investors who believe in the vision.
Opportunity to help define the culture values and engineering DNA of a company from
day one.
Building a product from pre-launch with no legacy code and lots of autonomy
Required Experience:
Senior IC
