About this role
Deepixel is looking for a Remote AI Engineer to join our distributed engineering team and develop practical Artificial Intelligence solutions for client and internal applications.
This is a hands-on engineering role focused on building AI-enabled applications, Generative AI solutions, LLM integrations, AI agents, Retrieval-Augmented Generation systems and intelligent workflow automation.
You will work closely with Deepixel's software development, data, cloud, QA and consulting teams to transform business problems into scalable AI solutions.
The role is suited to an engineer who understands software development fundamentals and wants to work at the intersection of AI, application development, data and cloud technologies.
You will be expected to experiment with new technologies while maintaining a strong focus on reliability, security, scalability and real-world business value.
Responsibilities
Design and develop AI-enabled applications and features.
Integrate Large Language Models and Generative AI APIs into software applications.
Develop AI agents and intelligent workflow automation solutions.
Design and implement Retrieval-Augmented Generation pipelines.
Build document-processing, semantic-search and knowledge-retrieval systems.
Work with embeddings, vector databases and retrieval systems.
Develop prompts, structured outputs and model orchestration workflows.
Integrate AI services with backend applications, APIs and enterprise systems.
Develop proof-of-concepts and prototypes for AI use cases.
Evaluate different AI models, APIs and implementation approaches.
Implement safeguards, validation and error-handling mechanisms for AI systems.
Test AI outputs for quality, accuracy, consistency and reliability.
Monitor and optimize AI application performance, latency and cost.
Work with structured and unstructured data from multiple sources.
Collaborate with Full Stack Developers to integrate AI functionality into applications.
Collaborate with QA engineers to define testing strategies for AI-powered features.
Deploy and support AI applications in cloud environments.
Research emerging AI technologies and determine their practical application to client requirements.
Maintain appropriate technical documentation for AI implementations.
Contribute to the architecture and continuous improvement of Deepixel's AI capabilities.
Requirements
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering or a related field, or equivalent practical experience.
Approximately 1–4 years of software development, AI engineering, machine learning or related experience.
Strong programming skills in Python.
Understanding of Artificial Intelligence and machine-learning fundamentals.
Experience integrating Generative AI or Large Language Model APIs.
Familiarity with models and platforms from providers such as OpenAI, Anthropic, Google or comparable platforms.
Understanding of prompt engineering and structured LLM outputs.
Familiarity with Retrieval-Augmented Generation architectures.
Understanding of embeddings, vector search and semantic retrieval.
Experience working with APIs and backend services.
Familiarity with frameworks or libraries such as LangChain, LlamaIndex or similar AI-development tools is preferred.
Experience with relational and/or vector databases.
Familiarity with PostgreSQL, MySQL, pgvector, Pinecone, Weaviate, Qdrant or comparable technologies is advantageous.
Understanding of REST APIs, JSON and application integrations.
Familiarity with Git/GitHub and modern software-development workflows.
Exposure to Docker and cloud platforms such as AWS or Microsoft Azure is preferred.
Understanding of data preparation, processing and evaluation.
Strong problem-solving and analytical skills.
Ability to evaluate AI outputs for quality, accuracy and reliability.
Good written and verbal communication skills.
Ability to research and learn rapidly evolving AI technologies.
Ability to work independently and collaborate effectively within a remote team.
Benefits
Fully remote working environment.
Opportunity to work directly with modern Artificial Intelligence technologies.
Hands-on experience with Generative AI, LLMs, AI agents and RAG architectures.
Exposure to real-world enterprise AI use cases rather than purely experimental projects.
Opportunity to work with multiple AI models, APIs, frameworks and cloud platforms.
Collaboration with experienced software developers, architects, data professionals and technology consultants.
Exposure to international and client-facing projects.
Professional development and mentoring.
Opportunity to experiment with emerging AI technologies and frameworks.
Experience integrating AI with real-world software platforms and enterprise systems.
Opportunities to take ownership of AI solutions and technical architecture as experience grows.
Career progression into Senior AI Engineer, AI Technical Lead, AI Consultant, Machine Learning Engineer or AI Solutions Architect roles.