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Senior AI Engineer Vera · $80k–100k 337 days ago On-site Business/Productivity Software

Senior Software Engineer Vera · Not listed 337 days ago On-site Business/Productivity Software

Business/Productivity Software

337 days ago

Senior AI Engineer

Vera ·

Pay

$80k–100k

Setting

On-site

Apply Sign in to favorite Permalink

Description

Founding Senior AI Engineer

📍 Location: Fully Remote

💰 Competitive salary (80-100k GBP*) plus attractive equity opportunity

🙌 Full-time or Contract

👤 Reporting to: Simon Holland, Founder

📩 Apply here

🫵 About You

You’re joining as a Senior AI Engineer to take full ownership of Vera’s intelligent document automation systems from architecture to production deployment.

You’ve shipped real-world LLM features, worked across the modern AI stack (LangChain, Pydantic AI, vector DBs), and want to build fast for real business use cases — not just prototypes.

You have a proven track record shipping LLM features into production with impact

You architect and scale intelligent systems, not just fine-tune prompts

You balance speed and rigor — pragmatic about when to build vs buy

You bring deep knowledge of the AI/ML toolchain and know how to apply it in the real-world

You communicate clearly explain the “why” behind AI

You’re excited to own problems end-to-end with autonomy and urgency

You’re fine with ambiguity and can adapt as quickly as the stack (and business) evolves

🧩 What You’ll Own

Architecting AI systems using Azure OpenAI, LangChain, Pydantic AI, multi-agent frameworks

Designing new features for document understanding, classification and data extraction

Building retrieval-augmented generation (RAG) systems to power intelligent workflows

Architecting AI agent systems using CrewAI / Pydantic AI to automate business ops

Crafting context-aware prompt engineering strategies for LLM workflows

Collaborating closely with engineers to integrate models into production APIs

Researching and evaluating new AI methods and tooling to drive efficiency

Translating AI capabilities into product narratives that make sense to stakeholders

🌍 What You’re Walking Into

Production AI systems processing thousands of documents daily

A stack of LLM apps that need optimizing, scaling, and smart architecture

Complex document pipelines pulling handling diverse formats

Integration with 15+ business applications requiring intelligent data extraction

Opportunities to lead on multi-agent workflows and novel RAG infrastructure

A fast-growing AI-native company where your ideas ship fast and matter

✅ Our Must-Haves

6+ years of AI/ML experience with deep roots in NLP and document processing

2+ years of production LLM experience (GPT-3.5/4, Claude, etc.)

2+ years document processing like PDF parsing, OCR, text extraction, classification

2+ years experience with LangChain, LlamaIndex, or similar frameworks

Strong Python skills with AI/ML libraries (TensorFlow, PyTorch, scikit-learn, transformers)

Hands-on with PDF parsing, OCR, classification (pre-LLM experience welcome)

Experience with vector DBs, embeddings, and RAG design and optimization

Solid prompt engineering skills — few-shot, CoT, multi-turn

You’ve shipped AI models into production environments, not just notebooks

⭐ Bonus

(Not required, but hugely helpful)

Master’s in AI/ML, Computer Science, or related field

2+ years with Azure OpenAI or AWS Bedrock

Background in classic NLP with recent shift to LLMs

Experience with document layout analysis, OCR, or lightweight computer vision

Familiarity with vector databases (Pinecone, Weaviate, or ChromaDB)

Early adopter energy — you picked up LLMs early and ran with them

Previous experience in document or business process automation

🔥 5 Reasons To Join

Architect the AI backbone of a platform used by top-tier finance pros and growing SMBs

Own real LLM workflows; multi-agent systems, RAG, and intelligent document automation

Build from zero: clean slate infra, no tech debt, full control

Ride the inflection point: early customers, revenue, and serious demand

Work in a high-frequency problem space: the kind AI is built for

📩 Apply here.

Include links to anything you’re proud of GitHub, personal site, or just a thoughtful note. We care more about what you’ve built than where you’ve worked.

This will be a 3-stage interview process:

CEO & Founder

CTO

Founding Team + Engineering Team

Salary is commensurate with experience, and we offer substantial equity. The position does not have fixed hours and does not include bonuses.

Listed by Vera for a position based in the United States. Employers on this board attest they are hiring domestically.

Business/Productivity Software

337 days ago

Senior Software Engineer

Vera ·

Pay

Not listed

Setting

On-site

Apply Sign in to favorite Permalink

Description

Senior Software Engineer

📍 Location: Fully Remote

💰 Competitive salary plus attractive equity opportunity

🙌 Full-time or Contract

👤 Reporting to: Simon Holland, Founder

📩 Apply here

🫵 About You

You’re joining as a Senior Software Engineer to take full ownership of Vera’s secure infrastructure — designing the backbone that powers our AI-driven automation platform.

You want to build infrastructure that matters and makes people’s lives better.

You’ve shipped scalable systems that serve users and seen them run in production

You design with security, reliability, and long-term maintainability in mind

You’re confident working across a modern backend stack

You bring strong architectural instincts and aren’t afraid to take the lead

You value fast-moving teams and pragmatic decisions over perfect abstractions

You’re comfortable working across systems — APIs, cloud infra, storage, auth, observability

You thrive on ownership and are energized by building from a clean slate

🧩 What You’ll Own

Architecting, building backend services with Python, FastAPI, and a serverless architecture

Designing complex integrations with banking APIs, accounting platforms (like QuickBooks and Xero), and cloud storage tools

Implementing Azure Functions and event-driven systems for high-scale document processing

Building secure systems built for sensitive financial data — aligned with SOC-2, CASA, and enterprise-grade compliance standards

Designing and optimizing the database architectures and data pipelines that support Vera’s AI engine and workloads

Collaborating closely with AI engineers to deploy, serve infrastructure/models reliably at scale

Implementing monitoring and observability across our distributed systems

Ensuring system reliability and performance as we scale our infrastructure to support a growing user base of SMBs and partners

🌍 What You’re Walking Into

Production systems powering real firms with real value on the line

Deep integrations with major financial institutions and software platforms

A cloud-native, serverless stack built on Microsoft Azure handling sensitive data

A growing user base of founders, CoS, CFOs requiring scalable, reliable infrastructure

A chance to lead on architecture, performance, and scale as we move into the next phase

✅ Our Must-Haves

5+ years backend engineering with expertise in Python and web frameworks (FastAPI, Django, Flask)

3+ years Microsoft Azure experience (Functions, Storage Accounts, Service Bus, Key Vault)

3+ years building API integrations with third-party services and enterprise systems

Strong database expertise - SQL databases, data modeling, query optimization

2+ years serverless architecture - event-driven systems, async processing

Security knowledge - encryption, authentication, compliance standards

Production system experience - monitoring, debugging, performance optimization

6+ months supporting AI/ML systems (acknowledging recent integration needs)

⭐ Bonus

(Not required, but very helpful)

Bachelor's degree in Computer Science or equivalent experience

2+ years integrating with financial services APIs (banking, accounting software)

Knowledge of compliance standards (SOC-2, PCI-DSS, GDPR)

Experience with Infrastructure as Code (Terraform, ARM templates)

Recent experience adapting systems to support LLM workloads

Previous experience in fintech, SaaS, or regulated industries

Understanding of accounting/finance business processes

Adaptability to AI/ML requirements - learned to support model deployment as business needs evolved

🔥 5 Reasons To Join

Own the infrastructure. Lead on architecture, scale, and performance.

Build secure-by-default systems. Design industry-leading infrastructure.

Touch real production. Power mission-critical workflows for SMBs and Partners.

Code with purpose. Help automate the back office for thousands, creating huge value.

Join at the inflection point. Early strong demand and a chance to build from the ground up.