Generative AI Engineer in INNONEERS

Job Title - Generative AI EngineerLocation: RemoteEmployment Type: Full-TimeWebsite – https://innoneers.com/Role OverviewAs a Generative AI Engineer, you will play a pivotal role in designing, developing, and deploying advanced AI-driven solutions. You’ll work on LLMs, build AI agents, develop RAG pipelines, and integrate state-of-the-art technologies like vector databases and LangChain. Your work will directly impact how users interact with and benefit from our AI-driven products.Key ResponsibilitiesAI Model DevelopmentDesign, train, fine-tune, and deploy LLMs using frameworks like Hugging Face Transformers, LangChain, or OpenAI API.Build and enhance AI agents capable of automating tasks, improving user experiences, and managing complex workflows.Develop RAG (Retrieval-Augmented Generation) pipelines to deliver accurate and context-aware AI responses.Prompt Engineering & OptimizationCreate, test, and optimize prompts to ensure high-quality and consistent model outputs.Experiment with advanced prompt strategies to improve AI agents’ performance.AI Stack IntegrationWork with vector databases (e.g., Qdrant, Weaviate, Pinecone) to enable efficient storage and retrieval of embeddings.Leverage tools like LangSmith and LangFuse for pipeline monitoring and debugging.Build APIs and services using Python FastAPI to support seamless integration of generative AI capabilities.Full-Stack DevelopmentDesign and implement scalable backend systems and APIs for AI-powered applications.Collaborate with frontend developers to integrate AI features into React-based interfaces.LLMOps & DeploymentDeploy, monitor, and maintain LLMs in production environments using containerization tools like Docker and orchestration platforms like Kubernetes.Establish robust observability pipelines for debugging, logging, and tracking AI model performance using tools like Prometheus, Grafana, or OpenTelemetry.Collaboration & InnovationCollaborate with product managers, data scientists, and engineers to translate business requirements into cutting-edge AI solutions.Stay current with advancements in AI, incorporating the latest techniques into our stack.Document processes, workflows, and experiments for knowledge sharing and reproducibility.Required SkillsCore Technical ExpertiseLLM Expertise: Experience building and deploying large language models in production.AI Agents: Proven ability to develop AI agents for task automation, workflow management, or user interaction.RAG Systems: Strong understanding of retrieval-augmented generation and experience building scalable RAG pipelines.Vector Databases: Proficiency with databases like Qdrant, Pinecone, or Weaviate for semantic search and embedding storage.Prompt Engineering: Expertise in crafting, testing, and optimizing prompts for LLMs.Programming Languages: Proficiency in Python with experience in frameworks like Hugging Face, LangChain, or OpenAI.Backend Development: Experience building scalable APIs using FastAPI or Flask.AI/ML KnowledgeFamiliarity with natural language processing techniques like tokenization, embeddings, and model evaluation.Understanding of multimodal AI systems (text, image, audio).Experience fine-tuning models on domain-specific data.DevOps & LLMOpsExperience deploying and managing models with Docker and Kubernetes.Strong knowledge of CI/CD pipelines for deploying AI systems.Expertise in observability tools like Prometheus, Grafana, or OpenTelemetry to monitor model performance.Nice-to-Have SkillsExperience with cloud platforms (AWS, GCP, Azure) for scaling AI workloads.Familiarity with GraphQL APIs.Knowledge of NoSQL databases like MongoDB.Contributions to open-source projects or active participation in the AI/ML community.Hands-on experience building real-time AI applications or conversational agents.Soft SkillsStrong problem-solving abilities and analytical mindset.Excellent communication and collaboration skills, with the ability to work across teams.Proactive, self-driven, and adaptable to a fast-paced, dynamic environment.Why join INNONEERS?Work with cutting-edge LLMs, AI agents, and RAG systems in a highly innovative environment.Be part of a supportive and driven team that values creativity and collaboration.Competitive compensation and opportunities for career growth.Build impactful AI solutions that solve real-world problems. Show more Show less Посадовий рівень Старший середній рівень Тип зайнятості Повний робочий день Посадові обов’язки Інженерія і Інформаційні технології Галузі ІТ-послуги та ІТ Консалтинг