Generative AI Engineer

Summary

OVA.Work is seeking a Generative AI Engineer to design, develop, and deploy AI-powered applications using large language models, retrieval-augmented generation, AI agents, and machine learning techniques. The role focuses on building LLM applications and RAG pipelines, integrating models through APIs and SDKs, developing backend services, evaluating and optimizing production systems, and ensuring secure and scalable GenAI implementations.

Responsibilities

• Design and develop Generative AI applications using LLMs and foundation models
• Build and deploy LLM-powered applications, AI agents, chatbots, and intelligent automation solutions
• Develop RAG pipelines using document processing, embeddings, vector databases, and semantic search
• Work with models such as GPT, Claude, Gemini, Llama, and other open-source or proprietary LLMs
• Develop effective prompt engineering strategies and evaluate LLM responses
• Implement model integration using APIs and SDKs
• Fine-tune or customize models for specific business use cases when required
• Build AI workflows using frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies
• Develop APIs and backend services using Python, FastAPI, or Flask
• Integrate AI solutions with databases, enterprise applications, and cloud services
• Implement evaluation frameworks to measure accuracy, relevance, hallucination, latency, and cost
• Monitor and optimize AI applications in production
• Collaborate with product managers, software engineers, data scientists, and QA teams
• Ensure responsible, secure, and scalable implementation of GenAI solutions

Skills

• * Strong programming experience in **Python**
• * Hands-on experience with **Generative AI and Large Language Models (LLMs)**
• * Strong knowledge of: + Prompt Engineering + RAG + Embeddings + Vector Databases + Semantic Search + AI Agents + LLM APIs
• * Experience with frameworks such as **LangChain, LangGraph, or LlamaIndex**
• * Experience working with vector databases such as **Pinecone, FAISS, Weaviate, Milvus, or Chroma**
• * Knowledge of REST APIs and backend development
• * Familiarity with **Git, Docker, and CI/CD**
• * Understanding of machine learning and NLP concepts
• * Bachelor's or Master's degree in **Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field**
• * Experience with **OpenAI, Azure OpenAI, Anthropic, Google Gemini, or AWS Bedrock**
• * Knowledge of **fine-tuning, LoRA/QLoRA, and model evaluation**
• * Experience developing autonomous or multi-agent systems
• * Knowledge of **MLOps/LLMOps**
• * Experience with AWS, Azure, or Google Cloud
• * Knowledge of databases such as PostgreSQL, MongoDB, or Elasticsearch
• * Experience with AI safety, guardrails, responsible AI, and data privacy
• * Experience with **PyTorch or TensorFlow**
• * Knowledge of Kubernetes and cloud-native deployments

Qualifications

Must Haves

• * Strong programming experience in **Python**
• * Hands-on experience with **Generative AI and Large Language Models (LLMs)**
• * Strong knowledge of: + Prompt Engineering + RAG + Embeddings + Vector Databases + Semantic Search + AI Agents + LLM APIs
• * Experience with frameworks such as **LangChain, LangGraph, or LlamaIndex**
• * Experience working with vector databases such as **Pinecone, FAISS, Weaviate, Milvus, or Chroma**
• * Knowledge of REST APIs and backend development
• * Familiarity with **Git, Docker, and CI/CD**
• * Understanding of machine learning and NLP concepts
• * Bachelor's or Master's degree in **Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field**

Nice to Haves

• * Experience with **OpenAI, Azure OpenAI, Anthropic, Google Gemini, or AWS Bedrock**
• * Knowledge of **fine-tuning, LoRA/QLoRA, and model evaluation**
• * Experience developing autonomous or multi-agent systems
• * Knowledge of **MLOps/LLMOps**
• * Experience with AWS, Azure, or Google Cloud
• * Knowledge of databases such as PostgreSQL, MongoDB, or Elasticsearch
• * Experience with AI safety, guardrails, responsible AI, and data privacy
• * Experience with **PyTorch or TensorFlow**
• * Knowledge of Kubernetes and cloud-native deployments