or apply directly on Understood's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 81 days Understood's roles stay open a median of 63 days
- Reposted
- No
- Salary listed
- Yes 100% of Understood's roles list one
- Ghost-job risk at Understood
- high 5 stale, 0 reposted of 7 open
- Hiring momentum
- 11 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-24
Measured from postings appearing on and disappearing from Understood's own greenhouse board since 2026-08-03. Full hiring picture for Understood.
About this role
As a Senior Full-Stack Engineer at Understood, you will work closely with cross-functional teams to design, develop, and maintain features across both frontend and backend systems. You will utilize technologies such as React, Next.js, Python, and Django to enhance platforms that support individuals with learning and thinking differences, while also contributing to AI tools and monitoring system performance.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 5/5
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 Understood as an employer.
What you need
- 7+ years of professional experience delivering production software, with meaningful depth in both frontend and backend development
- Strong expertise in TypeScript, React, and Next.js, including experience building stateful, streaming interfaces
- Demonstrated experience with Python and Django (or equivalent backend frameworks)
- Proficiency in designing and building RESTful APIs
- Experience working with relational databases (PostgreSQL, MySQL) and vector databases (Pinecone)
- Comfortable working in the cloud (GCP, AWS, or similar)
Nice to have
- Production experience with LLM orchestration and agent design: LangChain / LangGraph / LangSmith or equivalents, multi-agent routing, memory and personalization layers (LangMem or similar), and Model Context Protocol (MCP)
- A practical approach to making LLMs reliable in production: prompt engineering and tuning, systematic evaluation of outputs, guardrails and fallbacks, and designing around hallucinations and other failure modes
- Experience with retrieval-augmented generation (RAG) and vector databases (Pinecone, Weaviate, pgvector, or similar)
- Experience building real-time, multimodal AI experiences (streaming text, voice, TTS/STT, Web Audio, WebRTC, real-time OpenAI SDKs), including optimizing latency and time-to-first-token (TTFT) in production
- Experience building or contributing to trust and safety systems (content moderation, input/output filtering, guardrails for AI-generated content)
What you get
- The base salary range for this role is minimum $155,000 - $175,000 maximum, depending on years of experience and qualifications
- Comprehensive benefits package that supports wellness for team members and their families
Worth weighing
- Hybrid role requiring a minimum of three days a week in the NYC office
- No salary listed beyond the base range; specifics on bonuses or raises not mentioned
- The role involves working with AI tools, which may require keeping up with rapidly changing technology
Summarised from Understood's posting. Read the full original.
Listed by Understood on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.
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