We’re hiring a Senior / Lead AI Engineer to join AytmaTech’s outsourcing pool and lead AI-driven solution development on engagements for international clients. This is a fully remote, contract-based/permanent role focused on building, integrating, and deploying modern AI systems across a variety of business domains and products. Professional English communication (written & spoken) is required.
What you’ll do
- Serve as the primary AI engineering lead on client contract engagements (outsourced/embedded role).
- Design, build, and deploy AI-powered solutions, applications, and automation workflows for client projects.
- Develop and integrate machine learning, generative AI, and LLM-based features into web platforms, internal tools, and business systems.
- Build and optimize AI pipelines for data processing, model inference, evaluation, and monitoring.
- Work with structured and unstructured data sources to prepare datasets, improve quality, and support AI workflows.
- Implement prompt engineering, retrieval-augmented generation (RAG), embeddings, vector search, and agent-based workflows where applicable.
- Collaborate with backend, frontend, product, and business teams to translate requirements into scalable AI solutions.
- Evaluate AI models, tools, APIs, and frameworks to recommend practical and cost-effective implementations.
- Optimize performance, reliability, and operational efficiency of AI systems in production environments.
- Support deployment, testing, monitoring, and troubleshooting of AI-powered applications.
- Create technical documentation, implementation guidelines, and knowledge transfer materials for client teams.
- Provide clear status updates and lead communication with international stakeholders throughout engagements.
Required (must-have)
- 4–7 years of professional experience in software engineering, machine learning, AI engineering, or related roles.
- Strong programming skills in Python and experience building production-grade applications and APIs.
- Hands-on experience working with AI/ML frameworks, LLM APIs, or modern AI tooling ecosystems.
- Experience integrating AI services and models into real-world applications and workflows.
- Strong understanding of prompt engineering, embeddings, vector databases, retrieval systems, and LLM limitations.
- Experience working with data processing, APIs, asynchronous workflows, and backend integrations.
- Familiarity with model evaluation, testing, observability, and performance optimization.
- Understanding of AI security, privacy, reliability, and responsible AI considerations.
- Strong problem-solving skills and ability to balance experimentation with practical delivery.
- Professional English communication (written & spoken) — able to work with international clients and lead cross-functional discussions.
- Availability to take client assignments and embed within client processes.
Nice-to-have
- Experience with frameworks and tools such as LangChain, LlamaIndex, Hugging Face, OpenAI APIs, Ollama, or similar ecosystems.
- Experience building RAG systems, AI copilots, AI agents, or conversational interfaces.
- Experience with vector databases and semantic search technologies.
- Familiarity with cloud platforms and deployment environments for AI workloads.
- Experience with MLOps, model lifecycle management, monitoring, or inference optimization.
- Exposure to fine-tuning, open-source models, or multimodal AI systems.
- Experience with data engineering, analytics, or ETL pipelines.
- Experience working in outsourcing, agency, or embedded-team models.
- Basic frontend/backend development knowledge to support full AI feature integration and troubleshooting.
Work Location: Remote
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Ai Ai Engineer Machine Learning Generative Ai