Full-Time

Senior AI Engineer

Further

Further

11-50 employees

Fund operating system for venture funds

No salary listed

Austin, TX, USA + 4 more

More locations: Cleveland, OH, USA | Dallas, TX, USA | New York, NY, USA | Atlanta, GA, USA

Hybrid

Category
Software Engineering (1)
Required Skills
gRPC
Pinecone
FastAPI
Python
Git
Postgres
GraphQL
RAG
TypeScript
LangGraph
Observability
REST APIs
LangChain
Google Cloud Platform
Requirements
  • 6+ years of software engineering experience with at least 3 years dedicated to AI/ML application development.
  • Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation.
  • Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex.
  • Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms.
  • Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud.
  • Experience in Typescript development for prototyping and integrations
  • Proficiency with git workflows and understanding of standard application development processes
Responsibilities
  • Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time.
  • Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large language models at scale.
  • Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed.
  • Establish comprehensive model observability and guardrail systems to monitor real-time performance, detect distribution drift, and implement automated safety filters that mitigate hallucinations, bias, and toxic outputs in production environments.
  • Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases.
  • Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team.
  • Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load.
  • Define the end-to-end architecture for AI products on cloud platforms (preferably Google Cloud Platform), ensuring high availability, security, and cost-effectiveness.
  • Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements.
  • Mentor engineers on best practices for building deterministic software around probabilistic AI models.
Desired Qualifications
  • Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT).
  • Experience optimizing inference costs and latency for large-scale deployments.
  • Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures.
  • Any Google Cloud Professional Certification

Further provides FundOS, a fund operating system for venture capital, delivered as a software platform for VC funds and their service providers. It automates core fund operations, including investor onboarding, ongoing fund administration, compliance management, and investor reporting, enabling fund managers to focus on investments and portfolio management while service providers reduce manual workload. The platform supports the entire fund lifecycle—from creation and fundraising through portfolio management and reporting—via a SaaS model with fees for access and use. Further differentiates itself by offering a centralized, automated, end-to-end solution that reduces operational friction for both established and emerging VC funds and their ecosystem, and by enabling access to VC investments with minimums as low as £1,000, broadening investor participation. Its goal is to streamline investment operations in venture capital and expand access to VC opportunities.

Company Size

11-50

Company Stage

Seed

Total Funding

$1.5M

Headquarters

London, United Kingdom

Founded

2004

Simplify Jobs

Simplify's Take

What believers are saying

  • Yoti integration streamlines KYC and AML, accelerating retail investor access to VC funds.
  • AI-assisted transactions and auditable ledger boost fund manager efficiency via FundOS.
  • Fintech growth trends like Farther's 12,000% revenue expansion signal demand for VC SaaS.

What critics are saying

  • Farther's $13B AUM platform captures UK VC firms, eroding Further's market share in 6-12 months.
  • FCA mis-selling scrutiny halts Further's low-minimum inflows, triggering withdrawals in 3-6 months.
  • UK VC seed investment drops 35% in 2025, starving Further of emerging fund clients in 6-12 months.

What makes Further unique

  • FundOS automates investor onboarding, administration, compliance, and reporting for VC funds.
  • Yoti partnership enables digital identity verification in under five minutes per FCA rules.
  • Founded in 2021 by Rob Tominey and Seb Wallace targeting UK VC accessibility from £1,000.

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Benefits

Health Insurance

401(k) Retirement Plan

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

23%
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