Volody
Website:
volody.com
Job details:
Job Title : AI Developer (LLMs, RAG & NLP)
Experience : 2 - 10 Years
Employment Type : Full-time
Job Description
We are seeking an experienced AI Developer with strong hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). The ideal candidate must have worked in an AI-first product or company, contributing to real-world, production-grade AI systems.
Key Responsibilities
- Design, build, and deploy LLM-based applications for real-world use cases
- Implement and optimize RAG pipelines using vector databases and document stores
- Fine-tune, evaluate, and prompt-engineer LLMs for accuracy and performance
- Build NLP pipelines for text classification, summarization, extraction, and search
- Integrate AI models with backend systems and APIs
- Work with unstructured data (PDFs, docs, emails, chat logs, etc.)
- Monitor model performance, hallucination risks, and response quality
- Collaborate closely with product, engineering, and data teams
- Stay updated with the latest AI/LLM research and tooling
Required Skills & Qualifications
- 2- 10 years of experience in AI / ML development
- Strong hands-on experience with LLMs (OpenAI, Anthropic, LLaMA, Mistral, etc.)
- Proven experience building RAG systems
- Solid knowledge of NLP concepts and techniques
- Experience with vector databases (Pinecone, Weaviate, FAISS, Chroma, Milvus)
- Proficiency in Python
- Experience with frameworks such as LangChain, LlamaIndex, Hugging Face
- Strong understanding of embeddings, chunking, ranking, and retrieval strategies
- Experience deploying models in production environments
- Mandatory : Prior experience working in an AI-first company or product
Good To Have
- Experience with model fine-tuning (LoRA, PEFT)
- Knowledge of MLOps / LLMOps
- Experience with AWS / GCP / Azure
- Familiarity with evaluation frameworks for LLMs
- Experience building AI agents or autonomous workflows
Soft Skills
- Strong problem-solving and analytical thinking
- Ability to work in fast-paced, ambiguous environments
- Clear communication and documentation skills
- Product-oriented mindset
(ref:hirist.tech)
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