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Senior AI/ML Engineer
2 weeks ago
We're not looking for a safe coder.
We're looking for a
builder, breaker, and optimizer
— someone with a
hacker mindset
who thrives on exploring the edges of what's possible with AI.
As a
Senior AI Engineer
, you'll own the design and deployment of
agentic AI systems
that scale, adapt, and create measurable business outcomes. You'll experiment, iterate fast, and turn
complex AI ideas into production-grade systems
that deliver real impact.
What You will Do
- Engineer
agentic AI workflows
using LangChain, LangGraph, AutoGen and the like — designing systems that act, reason, and adapt. - Hack on prompts, optimize tokens, fine-tune models, and push LLMs beyond standard use cases.
- Architect and deploy
cloud-native AI infrastructure
(AWS/Azure, Terraform, Docker). - Build
data pipelines
with SQL/PostgreSQL and vector databases for real-time intelligence. - Apply
FinOps & API rate limiting hacks
to keep large-scale AI systems cost-efficient. - Ship
production-grade APIs
and MLOps pipelines with speed and reliability. - Debug, monitor, and optimize systems — solving problems before others even see them.
- Move fast, break things (safely), and leave them
better, faster, stronger
. - Collaborate with product and business teams, shaping ideas into
scalable AI solutions
.
What We're Looking For
- 5+ years in software engineering
, with at least
2+ years building AI/ML systems
. - Proven record of
production-grade AI deployments. - Hands-on with
LangChain, LangGraph, AutoGen, or similar orchestration frameworks
. - Fluent in
Python
, infrastructure as code (Terraform), and modern cloud (AWS/Azure). - Hacker's approach to
debugging, token efficiency, model fine-tuning, and API optimization
. - Experience with
SQL/PostgreSQL, vector databases, and real-time data processing
. - Deep knowledge of
CI/CD, MLOps, containers, and scalable architectures
. - Comfort in
Agile/Scrum environments
with Jira, Confluence, or Azure DevOps. - A curious, experimental mindset: you love tinkering, stress-testing, and improving systems.
Why Join Us?
- You'll
own problems end-to-end
— from idea → hack → prototype → production. - Work on
cutting-edge agentic AI systems
with real business stakes. - Freedom to
experiment, fail fast, and scale what works
. - A culture that values
builders over rule-followers
.