Staff Software Engineer - AI Platform

Frisco, onsite, staff, full time, 5–7 years

posted 09 Jul 2026

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Vector databases
Vercel
Semantic search
PostgreSQL
Retrieval-augmented generation
FastAPI
OpenAI
Anthropic
LLM
AWS
Python

About the role

You will be a Lead Software Engineer (Staff Engineer) responsible for the backend and orchestration layer powering AI agents, conversations, workspaces, and knowledge base across CoCounsel for Audit.

* Shape the team's AI platform and patterns: Define patterns for building MCP servers, designing agents, novel uses of LLMs, experimentation, and scalable infrastructure. Your decisions will influence your product area and adjacent teams, not just a single feature.

* Shape the platform integration strategy across new and existing audit systems to provide world-class content and solutions for our customers.

* Work at real production scale: Build and evolve systems that operate over millions of documents, highly structured tax data, ever-changing laws, and thousands of concurrent AI interactions from accountants doing time‑sensitive work.

* Small team, big surface area: Join a tight group of senior engineers and researchers shipping quickly, with direct access to product leadership and customers. Think ownership of a startup with the runway of a public company.

* Great fit for people who enjoy and thrive at setting technical direction, mentoring senior engineers, and spending most of their time in the code and architecture of AI systems.

What you would do

Technical leadership and cross‑functional influence

* Lead multi‑quarter initiatives that cut across AI, product, and infra (e.g., a new orchestration layer, a low-latency retrieval system, or a unified knowledge base).

* Mentor senior and mid-level engineers, raising the bar on system design, code quality, and AI integration practices across the org.

* Be a go-to expert in new model capabilities, collaborating closely with AI/ML engineers, researchers, designers, and PMs to translate industry improvements into reliable, user‑facing workflows that accountants trust.

* Help shape the team’s roadmap, technical strategy, and engineering culture – from experimentation practices to testing, rollout, and postmortems.

Design and own AI‑first backend systems

* Provide your technical POV on architecting and implementing backend services (Python, FastAPI, PostgreSQL, AWS, Vercel) that power generative AI agents, complex workflows (e.g., tax filing, advisory, audit), and document‑centric experiences.

Read from primis-talent.com, last seen 3d ago.

What they are looking for

You are a fit for the position of Lead Software Engineer (Staff Engineer) if your background includes:

* Bachelor’s degree in computer science, Computer Engineering, a related field, or equivalent experience

* 5-7+ years of experience in full-stack development, building scalable cloud-based applications, web services, APIs and AI-driven products.

* Deep Python expertise and experience with production systems using frameworks like FastAPI (or similar), relational databases (PostgreSQL or equivalent), and a major cloud provider (AWS preferred).

* Strong background in distributed systems: data modeling, API contracts, observability, resilience patterns, and performance tuning under load.

* Proven track record leading large, complex projects end‑to‑end: architecture, execution, rollout, and long‑term operation.

* Excellent communication skills and the ability to partner with product, design, and ML teams in a fast‑moving environment.

* Demonstrated interest in AI systems and new engineering paradigms: LLMs, agents, retrieval, or similar – you care about what “AI‑native” software should look like.

* Hands‑on experience integrating LLM APIs (e.g., OpenAI, Anthropic) into production applications, including prompt/response management, cost controls, and safety considerations.

* Experience with AI‑adjacent infrastructure: vector databases, embeddings, semantic search, or custom retrieval pipelines.

* Opinions and experience around automated testing, reliability, and release practices for systems with non-deterministic model behavior.

* Prior experience in domains where correctness, auditability, and compliance matter (fintech, tax, audit, legal, or similar), or strong interest in applying AI in those contexts.

* ##### Taylor Janvrin

* Taylor

* +1 929 865 0147

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