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Software Craftsperson - AI

Roles & Responsibilities

  • 4+ years of overall software engineering experience, with 2+ years of hands-on experience applying ML/AI in production, including LLM-based applications and document processing systems
  • Strong proficiency in Python or TypeScript (one must be strong), with openness to picking up the other, and solid expertise in object-oriented programming, data structures, algorithms, and software engineering practices
  • Hands-on experience building production applications using foundational LLMs (GPT, Claude, Gemini, or similar) for document classification, entity extraction, and structured data extraction
  • Strong experience in prompt engineering, refining prompts and orchestration patterns to improve response accuracy, consistency, and structured outputs from business documents (PDF, Word, Excel)

Requirements:

  • Take responsibility for the full lifecycle of an initiative, independently managing production readiness gaps and escalations.
  • Design and deliver features of end-to-end, balanced scope, quality, and maintainability.
  • Identify technical or product issues beyond the immediate scope of work.
  • Identify process waste using DevEx and DORA principles and drive improvements.

Job description

This is a remote position.


Role Overview 


As a Software Craftsperson III, your impact is felt at an initiative/pod-level, solving problems with high autonomy, technical depth, and ability to influence team practices. You promote a learning culture within your team; encourage curiosity and simplification.  
 
At this level, you are expected to apply feedback effectively, mentor others, and contribute meaningfully to team and pod-level impact. You provide timely, trend-based feedback that improves team outcomes; and creates impact by leading up and down. 
 
At Incubyte, AI is not an add-on but a co-creator in our craft. From refining requirements to reviewing and refactoring code, you’ll pair with AI to explore solutions faster, catch issues earlier, and raise the quality bar continuously. AI accelerates how we learn, experiment, and deliver — enabling you to focus on solving the right problems with impact while being tech and domain agnostic – true consultants at heart. 


Responsibilities 

  • Take responsibility for the full lifecycle of an initiative, independently managing production readiness gaps and escalations. 
  • Design and deliver features of end-to-end, balanced scope, quality, and maintainability. 
  • Identify technical or product issues beyond the immediate scope of work. 
  • Identify process waste using DevEx and DORA principles and drive improvements. 
  • Support estimation, vertical slicing, and MVP discussions. 
  • Drive initiative-level improvements in flow and quality. 
  • Communicate effectively at the appropriate level of abstraction with both team and client. 
  • Provide timely, trend-based feedback. 
  • Lead through ambiguity by clarifying priorities, aligning stakeholders, and keeping the team focused on outcomes. 
  • Promote a learning culture within the team. 
  • Mentor engineers to raise team performance. 
  • Shape team practices related to code quality, tooling, and process. 
  • Use AI to accelerate design, testing, and delivery. 



Requirements

What We’re Looking For 

  • 4+ years of overall software engineering experience, with 2+ years of hands-on experience applying ML/AI in production, including LLM-based applications and document processing systems
  • Strong proficiency in Python or TypeScript (one must be strong), with openness to picking up the other, and solid expertise in object-oriented programming, data structures, algorithms, and software engineering practices
  • Hands-on experience building production applications using foundational LLMs (GPT, Claude, Gemini, or similar) for document classification, entity extraction, and structured data extraction
  • Strong experience in prompt engineering, refining prompts and orchestration patterns to improve response accuracy, consistency, and structured outputs from business documents (PDF, Word, Excel)
  • Experience with LLM orchestration and agentic frameworks (LangChain, LlamaIndex, Mastra, Agno), vector databases (Pinecone, PgVector, Qdrant), and LLM observability tools (LangSmith, DeepEval)
  • Experience designing and operating scalable document processing pipelines leveraging LLM APIs, including classification, metadata generation, entity extraction, and routing
  • Strong system design and LLMOps experience, including CI/CD, TDD, prompt versioning, testing, monitoring, cost optimization, and reliable production deployments
  • Experience working in Agile and eXtreme Programming environments with continuous deployment practices
  • Working knowledge of web server ecosystems, relational databases, server configuration and deployment infrastructure, and performance optimization
  • Experience using source control and bug tracking systems, writing user stories, and maintaining clear technical documentation


Benefits

Life at Incubyte 


We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered. 
 
Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion. 

Benefits 

  • Dedicated learning & development budget. 
  • Sponsorship for conference talks. 
  • Comprehensive medical & term insurance. 
  • Employee-friendly leave policies. 
  • Home Office fund 
  • Medical Insurance 


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