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Sr Software Engineer II

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Towards AI, Inc.
Full Time position
Listed on 2026-07-21
Job specializations:
  • Software Development
    Python, Software Engineer, AI Engineer (Applied/Software), DevOps
Salary/Wage Range or Industry Benchmark: 176000 - 197000 USD Yearly USD 176000.00 197000.00 YEAR
Job Description & How to Apply Below
# Sr Software Engineer II## Compass Published 17 Jul 2026### Share this job Boston, MA, USA
176K - 197K USD Annual Full Time## Role Highlights### Languages usedGOPython### Key skills

Computer ScienceAPICICDCode Reviews Cloud InfrastructureSDLCAutomated TestingLLMsAITrouble Shooting Data Architecture Embeddings ### Tools, Libraries and FrameworksAWSGCPAzure Boost Maven ## Description This role focuses on maximizing engineering velocity by creating fast feedback loops and optimizing system efficiency across the software development lifecycle. The position involves building reliable workflows and maintaining subsystems that collect and operationalize data from various development pipelines. A primary responsibility includes implementing systems that utilize engineering signals to automate manual developer tasks and improve testing frameworks.

The role requires integrating AI tools into daily workflows to assist with code reviews, software validation, and incident triaging. Additionally, the contributor will work on observability, engineering telemetry, and software catalog systems to deliver high-quality team capabilities.##

Required Qualifications and Skills Candidates must possess a Bachelor of Science degree in Computer Science, Software Engineering, or equivalent practical experience. A minimum of five years of professional software development experience is required, specifically with a track record of delivering complex technical components. Proficiency in Go and professional experience with Python are necessary for this role. Applicants must have practical experience with data pipelines, observability infrastructure, and embedding AI models or LLM APIs into software pipelines.##

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