The Role
Build and support scalable backend applications and enterprise software using Python, REST APIs, microservices, relational databases, cloud platforms, and modern deployment practices. Design reliable, observable, performant, and cost-efficient systems; collaborate with product management and distributed teams; contribute to technical decisions; and support production services. Experience with LLMs, generative AI, retrieval-augmented generation, vector databases, AI agents, Kubernetes, infrastructure as code, and observability is preferred.
Summary Generated by Built In
Our founding team has built a couple of successful companies together, we had so much fun and we had such an impact on people's lives, we've decided to do it again. This is our best ideayet, and we see a long and prosperous path ahead. We are Series A funded by a top Silicon Valley VC.
If you are humble, compassionate, demonstrate integrity, operate in trust, and love building cool software, we would love to talk with you!
We are Axiamatic!
About You
You have strong experience designing and developing backend applications using Python.
You have hands-on experience with Python frameworks such as FastAPI, Django, or Flask.
You understand microservices architecture, REST API development, asynchronous programming, and
distributed systems.
You have built and deployed systems on a public cloud platform, preferably AWS.
You work closely with product management to understand customer needs and maximize the impact
of what you build.
You build scalable systems that are performant, observable, reliable, and cost-efficient.
You are comfortable supporting the services you build in production.
You are comfortable collaborating with globally distributed teams.
You are interested in learning, growing, and leading by example.
Experience with Large Language Models, Generative AI, or AI-powered applications will be a strong
advantage
Requirements
Engineering graduate with 4-5 years of industry experience building and delivering enterprise-class
products.
Strong hands-on programming experience in Python.
Experience developing and maintaining REST APIs and microservices.
Experience with relational databases such as PostgreSQL or MySQL.
Familiarity with NoSQL databases, caching systems, or message queues.
Experience with cloud and SaaS development.
Experience with Git, Docker, CI/CD pipelines, and automated testing.
Good understanding of system design, data structures, algorithms, and software design principles.
Startup experience is a strong plus.
Technical depth is essential to contribute effectively to engineering discussions and decisions.
Ability to work in a fast-paced environment with rapidly evolving business requirements.
A hands-off or “not my job” attitude is an absolute no-go
Preferred Experience
Experience building applications using Large Language Models or Generative AI.
Familiarity with LLM APIs and platforms such as OpenAI, Anthropic, Gemini, or open-source models.
Experience with Retrieval-Augmented Generation, embeddings, vector databases, prompt
engineering, or AI agents.
Familiarity with frameworks such as LangChain, LlamaIndex, or similar tools.
Exposure to Kubernetes, infrastructure as code, or production observability tools.
Benefits
● Hybrid Work Mode
Skills Required
- Engineering degree
- 4-5 years of industry experience building and delivering enterprise-class products
- Strong hands-on programming experience with Python
- Experience developing and maintaining REST APIs and microservices
- Experience with relational databases such as PostgreSQL or MySQL
- Familiarity with NoSQL databases, caching systems, or message queues
- Experience with cloud and SaaS development
- Experience with Git, Docker, CI/CD pipelines, and automated testing
- Understanding of system design, data structures, algorithms, and software design principles
- Technical depth to contribute effectively to engineering discussions and decisions
- Ability to work in a fast-paced environment with rapidly evolving business requirements
- Experience with Large Language Models or Generative AI
- Familiarity with LLM APIs and platforms such as OpenAI, Anthropic, Gemini, or open-source models
- Experience with Retrieval-Augmented Generation, embeddings, vector databases, prompt engineering, or AI agents
- Familiarity with LangChain, LlamaIndex, or similar frameworks
- Exposure to Kubernetes, infrastructure as code, or production observability tools
- Startup experience
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The Company
What We Do
Axiamatic develops an agentic control-plane platform for enterprise transformation. Its software continuously monitors complex programs, builds context from enterprise systems, identifies execution risks, requirements drift, and adoption gaps, and provides role-specific insights, recommendations, and proactive actions. The company serves large enterprises undertaking ERP modernizations, CRM rollouts, and other large-scale transformation initiatives, helping make these programs more predictable, visible, and successful.
