or apply directly on AlphaSense's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 29 days AlphaSense's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of AlphaSense's roles list one
- Ghost-job risk at AlphaSense
- low 0 stale, 7 reposted of 230 open
- Hiring momentum
- 328 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from AlphaSense's own greenhouse board since 2026-08-03. Full hiring picture for AlphaSense.
About this role
As a Senior Software Engineer on the Content Engineering team at AlphaSense, you will focus on large-scale content processing using AI technologies, particularly in document understanding. Your daily tasks will include deploying production-grade solutions utilizing Large Language Models (LLMs), fine-tuning these models for specific data extraction tasks, and implementing data processing pipelines to handle complex documents efficiently.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of AlphaSense as an employer.
What you need
- 4+ years of experience as a software engineer, primarily with Python
- 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs)
- Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering
- Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing
- Experience with LLM tracing, debugging and evaluation platforms such as Langfuse
- Excellent communication, organizational, problem-solving, debugging, and analytical skills
Nice to have
- Experience in async processing of data at scale
- Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI
- Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing
- Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
- Previous experience in data extraction from specific domains (e.g., financial reports, news)
Worth weighing
- No salary listed
- Focus on AI and LLMs may require continuous learning and adaptation to new technologies
- Role involves end-to-end ownership, which may include on-call support responsibilities
Summarised from AlphaSense's posting. Read the full original.
Listed by AlphaSense on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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