Senior AI Engineer
emerchantpay Ltd5 months ago
Remote, BulgariaSenior
Responsibilities
- Design, build, and maintain AI-powered applications, services, integrations, agents, agentic workflows, and LLM-based business solutions.
- Develop RAG systems involving document ingestion, chunking, embeddings, vector search, retrieval, reranking, and grounding.
- Implement and operate AI/ML solutions on AWS, including model hosting, inference, orchestration, data processing, monitoring, and security.
- Contribute to ML pipelines and MLOps practices covering data preparation, model training, experiment tracking, deployment, monitoring, evaluation, and lifecycle management.
- Integrate LLMs through APIs and implement prompt engineering, function calling, tool use, memory patterns, guardrails, and application testing.
- Develop evaluation methods for LLM outputs, RAG quality, agent behavior, model performance, hallucination detection, safety, and reliability.
- Design and consume APIs and contribute to scalable cloud-based backend architectures.
- Provide technical guidance to engineers and collaborate with technical, product, data, security, and business stakeholders.
- Support production rollouts, troubleshooting, monitoring, optimization, documentation, and continuous improvement of AI systems.
Requirements
- Requires 7–8 years of professional experience in software engineering, AI engineering, ML engineering, data science, or related technical roles.
- Requires 2–3 years of AI development, ML engineering, or data science experience and a track record of deploying machine learning models and AI solutions in production.
- Requires strong hands-on experience with production-grade AI, ML, and data-driven systems, including AI agents, agentic workflows, LLM applications, tool-calling architectures, and orchestration patterns.
- Requires knowledge of deep learning, generative AI, LLMs, embeddings, RAG, LLM fine-tuning, AI evaluation, model benchmarking, transformer architectures, and open-source LLMs.
- Requires strong Python development experience and experience with Python web frameworks such as FastAPI, Flask, or Django, plus some React experience.
- Requires strong AWS experience, including Amazon Bedrock, Amazon Bedrock AgentCore, Amazon SageMaker, and related AWS AI/ML services.
- Requires experience with agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, CrewAI, or AutoGen.
- Requires experience with PyTorch or TensorFlow, familiarity with Hugging Face Transformers, and LLM APIs such as OpenAI, Anthropic, or Gemini.
- Requires experience with ML pipelines, MLOps, AI evaluation, RLHF or human-in-the-loop model improvement, RAG systems, vector databases, retrieval technologies, and model fine-tuning.
- Requires knowledge of API design, microservices, event-driven and cloud-based architectures, and AI security and governance requirements.
- Experience with Amazon Bedrock Agents, Knowledge Bases, Guardrails, Docker, EKS, ECS, Terraform, AWS CDK, CloudFormation, data platforms, observability, responsible AI, enterprise integrations, open-source projects, technical publications, patents, AWS certifications, or fintech is advantageous.
- Requires strong problem-solving, cross-functional collaboration, and communication skills.
Benefits
- Fully distributed and remote workplace.
- 25 days of paid holiday, plus one additional day for every two years with the company.
- Professional development support including books, training, and certifications.
- Excellent working conditions, casual atmosphere, and state-of-the-art hardware.
- Team-building events and fun activities.
- Modern, challenging, and growing business environment.
Categories
About emerchantpay Ltd
emerchantpay Ltd provides payment processing and acquiring for online, mobile, in-store and phone transactions via a single integration, with card processing, alternative payment methods, bank transfers and e-wallets. It sells to medium to large businesses in eCommerce, retail, travel and gaming, bundling fraud prevention and performance optimization tools. Founded in 2002 and headquartered in London, the privately held company operates internationally.