AI / ML Engineer

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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