AI Engineer / Data Engineer (AI Applications & Investment Systems)
Location & Work Environment
Strong preference for
onsite collaboration (4–5 days/week initially)
Flexible hybrid approach over time, but
not a minimal in-office model
Culture built on
trust, ownership, and autonomy
— no rigid policies
Emphasis on:
Collaboration
Knowledge sharing
High-impact problem solving
About the Role
We are building a
next-generation data and AI platform
to transform how complex business and investment decisions are made.
This role focuses on
reimagining traditional workflows using AI , replacing legacy processes built on spreadsheets, slide decks, and manual analysis with
intelligent, automated systems .
You will play a critical role in:
Designing
AI-powered workflows
Building
agent-based systems
Enabling teams to leverage
large-scale, fragmented datasets
Delivering
production-grade AI applications
What You’ll Do
Design and build
AI-powered systems
to automate and enhance workflows
Develop and deploy
LLM-based applications and agent frameworks
Translate complex business processes into
scalable AI-driven solutions
Build and maintain
data pipelines and infrastructure
Integrate data across systems (cloud platforms, data warehouses, APIs)
Identify repetitive workflows and implement
automation at scale
Partner with cross-functional stakeholders to drive adoption and impact
Deliver
production-ready solutions , not just prototypes
What We’re Looking For
Experience
5–8 years of experience
(flexible for strong candidates)
Strong foundation in
software engineering
Recent experience working with
Generative AI / LLM applications
Technical Skills
Proficiency in
Python
Experience with
cloud infrastructure (AWS preferred)
Strong understanding of:
System design
Distributed systems
Data architecture
Experience building
production-grade AI systems
AI / LLM Expertise
Hands-on experience with:
RAG (Retrieval-Augmented Generation)
Agent-based systems
LLM application design and orchestration
Ability to:
Choose appropriate models (OpenAI, Anthropic, etc.)
Design efficient, scalable AI architectures
Evaluate tradeoffs (cost, latency, performance)
Data & Technology Stack
Cloud:
AWS
Data:
Snowflake , modern ELT tools (e.g., Fivetran)
AI tools:
LLMs (e.g., Claude, ChatGPT)
CRM & business systems integrations
Extensive use of
AI-assisted development tools
You will work with a wide range of data sources, including:
Internal operational data
Third-party datasets and research
Market and alternative data (e.g., web, labor, and behavioral signals)
Ideal Candidate Profile
Strong
builder mindset
with experience in fast-paced environments
Background in
startups, product teams, or platform engineering
Deep understanding of both:
Engineering fundamentals
Practical AI application design
Strong
product intuition
— understands how to apply AI to real problems
Comfortable making
independent decisions in ambiguous environments
Soft Skills
Entrepreneurial and self-driven
Strong communicator across technical and non-technical audiences
Comfortable working with senior stakeholders
Able to operate with
high autonomy and minimal oversight
Curious, pragmatic, and execution-focused
⏰ Working Style
Flexible hours; not a strict 9–5 role
Must be comfortable collaborating across time zones
Occasional flexibility required for high-priority needs
Compensation & Benefits
Highly competitive total cash compensation ( performance-driven bonus included )
Comprehensive benefits package:
Medical, dental, and vision coverage
Wellness benefits
Retirement plan (401k)
Generous PTO
⚡ Interview Process
Streamlined, fast-moving process
Focus on:
Systems thinking
Practical problem-solving
AI application design
No coding tests — emphasis on real-world approach and decision-making
Why This Role?
Opportunity to
transform how complex workflows are done using AI
Work on
high-impact, real-world AI applications
Operate in a
high-autonomy, builder-focused environment
Be part of a small, elite team driving meaningful innovation