Job VC
AI Engineer
Technologies
Description
We are looking for an AI/ML Engineer to build and scale AI-powered solutions for real-world use cases. This is a hands-on role focused on developing agentic systems, RAG pipelines, fine-tuning workflows, and production-grade LLM integrations.
Part-time during the first month
Requirements
4+ years
of commercial development experience (Python is a plus)
Experience building real
AI/ML applications
Strong understanding of modern AI/ML workflows and LLM ecosystems
Hands-on experience with
ML frameworks such as TensorFlow or PyTorc
h (JAX is also acceptable)
Experience with
LLM APIs
(OpenAI, Claude, etc.)
Understanding of
RAG pipelines
and AI workflows
Experience with APIs and third-party integrations
Basic prompt engineering skills
Good communication skills
Comfortable working in a fast-paced environment
Nice to have
Experience with
LoRA, QLoRA
, adapters, or other
fine-tuning
approaches
Experience with LLM frameworks such as LangChain or LlamaIndex
Experience working with clients or enterprise systems
Background as an AI Engineer, ML Engineer, or Data Scientist
Responsibilities
Build AI-powered features using LLMs (Claude, OpenAI, etc.)
Develop and optimize RAG pipelines
Create AI agents and autonomous workflows
Fine-tune and adapt ML/LLM models for specific use cases
Integrate AI solutions into products via APIs
Collaborate with the team and clients to deliver production-ready solutions
Part-time during the first month
Requirements
4+ years
of commercial development experience (Python is a plus)
Experience building real
AI/ML applications
Strong understanding of modern AI/ML workflows and LLM ecosystems
Hands-on experience with
ML frameworks such as TensorFlow or PyTorc
h (JAX is also acceptable)
Experience with
LLM APIs
(OpenAI, Claude, etc.)
Understanding of
RAG pipelines
and AI workflows
Experience with APIs and third-party integrations
Basic prompt engineering skills
Good communication skills
Comfortable working in a fast-paced environment
Nice to have
Experience with
LoRA, QLoRA
, adapters, or other
fine-tuning
approaches
Experience with LLM frameworks such as LangChain or LlamaIndex
Experience working with clients or enterprise systems
Background as an AI Engineer, ML Engineer, or Data Scientist
Responsibilities
Build AI-powered features using LLMs (Claude, OpenAI, etc.)
Develop and optimize RAG pipelines
Create AI agents and autonomous workflows
Fine-tune and adapt ML/LLM models for specific use cases
Integrate AI solutions into products via APIs
Collaborate with the team and clients to deliver production-ready solutions