Corpsoft Solutions
AI

AI ML Engineer 🧠

Corpsoft Solutions Β· Wilmington, DE

Actively hiring Posted 3 months ago

Role overview

Responsibilities
– LLM configuration and optimization (Mistral, LLaMa, Qwen or others) – fine-tuning, quantization, performance tuning;

– Assessing required computational resources, selecting the optimal infrastructure for model deployment (on-premise or cloud), and analyzing cost efficiency;

– Implementing RAG to integrate models with vector databases;

– Orchestrating interactions between multiple ML services (e.g., one model generates tags, and another validates task descriptions).

– Developing a service for interacting with the model (API for predictions, model management, integration with our application).

– Optimizing model performance for real-world usage.

Requirements
– 1+ years experience with LLM models (Mistral 7B, GPT-3/4, LLaMA, Claude, Falcon, Bloom, etc.);

– Understanding of Retrieval-Augmented Generation (RAG) and model integration with databases;

– Proficiency in Python and libraries like PyTorch, TensorFlow, Hugging Face, and LangChain;

– Experience in evaluating and optimizing infrastructure for AI deployments;

– Experience in developing APIs for integrating AI models into business processes;

– English level at least A2-B1.

Nice To Have
– Hands-on experience with fine-tuning and dataset preparation/annotation;;

– Experience with vector databases (Pinecone, Weaviate, FAISS);

– Experience with Java.

We Offer
– Regular result-based salary reviews;

– Comfortable working hours (10-19 Kyiv time zone);

– Bonus system;

– Established product-focused environment;

– Range of tasks, from quick and simple to challenging investigation to run;

– Cheerful & dynamic environment;

– Friendly and open-minded team;

– Virtual workspace with perspective to move into one of the offices;

– Mentorship;

– Attractive social package (unlimited and paid sick days, fully paid vacation, birthday day off, etc;)

– Sport and English classes discounts.

Hiring Steps
– First interview with the Recruiter;

– Technical interview with the Team Lead;

– Job Offer.

English: B1

Experience: 1 year

Work location: Remote

Office: Prague, CZ

Work type: Full-time

Apply now

What we're looking for

– Assessing required computational resources, selecting the optimal infrastructure for model deployment (on-premise or cloud), and analyzing cost efficiency;

– Implementing RAG to integrate models with vector databases;

– Orchestrating interactions between multiple ML services (e.g., one model generates tags, and another validates task descriptions).

– Developing a service for interacting with the model (API for predictions, model management, integration with our application).

– Optimizing model performance for real-world usage.

– Understanding of Retrieval-Augmented Generation (RAG) and model integration with databases;

– Proficiency in Python and libraries like PyTorch, TensorFlow, Hugging Face, and LangChain;

– Experience in evaluating and optimizing infrastructure for AI deployments;

– Experience in developing APIs for integrating AI models into business processes;

– English level at least A2-B1.

– Experience with vector databases (Pinecone, Weaviate, FAISS);

– Experience with Java.

Interview process

– Technical interview with the Team Lead;

– Job Offer.

English: B1

Experience: 1 year

Work location: Remote

Office: Prague, CZ

Work type: Full-time

Apply now

Tags & focus areas

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Fulltime Remote Ai Ai Engineer Machine Learning Generative Ai Pytorch Tensorflow