Senior Software Engineer - AI Platform (East Coast)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 13h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 173d ago
The date the source published, not the day we noticed it (2026-03-25). Last seen at its source 3h ago.
Is it remote?
Remote USA
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $160.8k–210k/yr
Middle 50% of 739 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
lever employer's own board first seen 38d ago · last seen 3h ago
The listing
This is a technical leadership role on a small, high-impact team. You'll own the technical roadmap for complex AI projects, making architectural decisions that shape how AI gets built across the organization. Working across the full stack, from React/TypeScript frontends to Python backends and LLM orchestration systems, you'll define patterns and best practices that other engineers will follow.
You'll lead by example: shipping high-quality code, mentoring teammates, and making challenging technical decisions when the path forward isn't clear. As one of five engineers pioneering AI at CaptivateIQ, you'll have direct influence on team-level outcomes and accountability for alignment to our technical strategy.
This is a greenfield opportunity with outsized impact. You'll help establish the foundations of our AI platform while coaching P3 engineers and contributing to the engineering culture that will scale with the company.
Responsibilities
- Define and own the technical roadmap for complex AI platform initiatives, driving semi-annual and annual milestones
- Architect and implement production-grade LLM orchestration systems, including agent frameworks, tool calling, and multi-step reasoning workflows
- Design MCP integrations and knowledge management systems, including tool orchestration, embedding strategies, and context optimization
- Lead technical design for cross-functional AI features, making challenging decisions when trade-offs are unclear
- Establish coding standards, review practices, and architectural patterns for AI development across the Agentic SDK team
- Coach and mentor P3 engineers, helping them grow toward senior-level scope and autonomy
- Partner with product teams to translate ambiguous business needs into technical solutions, ensuring alignment to company strategy
Requirements
- 5+ years of professional software engineering experience with demonstrated progression into technical leadership
- Deep proficiency in Python with experience architecting production backend systems (Django strongly preferred)
- Strong frontend development skills with React and TypeScript, including experience with complex state management
- Significant hands-on experience with LLM APIs and building orchestration systems (agent workflows, tool calling, multi-step reasoning)
- Experience designing and implementing MCP integrations, including tool servers, embedding models, and context management strategies
- Track record of defining technical roadmaps and leading projects from conception through delivery
- Experience mentoring engineers and elevating team technical practices
- Strong ability to make decisions under ambiguity and communicate technical trade-offs to stakeholders
- Demonstrated curiosity and continuous learning in the rapidly evolving AI/LLM space
Bonus Points
- Experience building internal developer platforms, SDKs, or shared AI/ML infrastructure
- Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or equivalent)
- Deep expertise in agent architectures: multi-agent systems, tool use, planning algorithms, or memory systems
- Experience with prompt optimization, evaluation frameworks, or LLM observability tools (LangSmith, Weights & Biases)
- Background in building AI features that shipped to enterprise customers
- Experience at a B2B SaaS company scaling from Series B through growth stage
- Familiarity with sales performance, commissions, or financial software domains
- Contributions to AI/ML open-source projects or technical publications