AI/ML Engineer
2 days ago
Location:
Remote |
Company:
GrowthRune |
Type:
Full-Time
About GrowthRune
GrowthRune is an AI partner and integrator helping companies evolve into intelligent, agentic organizations. We build infrastructure and products that bring together data, automation, and AI to power the next generation of decision-making systems. Our mission is to help businesses operate smarter — with systems that think, act, and learn autonomously.
Role Overview
We're looking for an experienced
AI/ML Engineer
who can bridge the gap between intelligent systems and production-ready infrastructure. You'll work on AI integrations, model pipelines, data orchestration, and vector-based search — helping us build scalable, reliable, and adaptive agentic AI systems.
This role is ideal for an engineer who's hands-on with
AI frameworks, vector databases, and orchestration tools
like LangChain and OpenAI APIs, and has a deep understanding of how to turn data and prompts into performant systems.
What You'll Do
- Design, build, and deploy
AI-powered applications and pipelines
using Python and modern frameworks. - Work with
vector databases
(Pinecone) for embedding storage, retrieval, and semantic search. - Implement
memory and context protocols (MCP)
for multi-agent coordination and contextual reasoning. - Integrate
LLM APIs (OpenAI, Anthropic, etc.)
into real-time applications. - Build and maintain
AI agent workflows
using
LangChain
or similar frameworks. - Manage
data caching and performance layers
using Redis and MongoDB. - Optimize
prompt engineering and system prompting
for accuracy, consistency, and reliability. - Collaborate with backend and product teams to ensure AI integrations are robust, scalable, and production-ready.
- Contribute to architecture discussions on
AI observability, cost optimization, and response latency
.
What You Bring
- 5+ years of professional experience in
machine learning, AI systems, or full-stack engineering
. - Proficiency in
Python
and hands-on experience with
LangChain, OpenAI, and Pinecone
. - Strong understanding of
data structures, retrieval-augmented generation (RAG)
, and
vector search
. - Familiarity with
Redis, MongoDB
, and
API integrations
. - Proven experience with
prompt engineering and LLM orchestration
. - Solid grasp of
MCP tools
and
context-handling architectures
for AI agent systems. - Excellent communication and documentation skills — able to explain complex systems clearly.
Bonus Points
- Experience building
multi-agent systems
or
AI automation pipelines
. - Familiarity with
AI observability tools
or
evaluation frameworks
. - Understanding of
cloud compute optimization
and
GPU utilization
for inference. - Contributions to
open-source AI projects
or public prompt frameworks.
Why Join GrowthRune
- Build at the cutting edge of
Agentic AI infrastructure
. - Collaborate with a passionate, global team shaping the future of intelligent systems.
- Fully remote, flexible work culture centered on innovation and deep thinking.
- Opportunity to define the foundations of scalable AI systems in real-world environments.
Ready to build the intelligence layer of tomorrow?
Apply now and join GrowthRune
in shaping the future of applied AI and agentic systems.
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