About the Role
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.