Senior AI/ML Engineer, GenAI, AWS

This is a fully remote position, open to applicants in Ukraine, +6 more countries.

📋 Description

• Collaborate in tandem with an FDE and an FDX.

• Develop and deploy production GenAI systems within customer environments, including cloud-native data, LLM-based, and agentic AI solutions.

• Construct and refine RAG systems tailored for production applications.

• Create the evaluation harness prior to feature implementation.

• Write production-level code across AI, backend services, and data pipelines.

• Integrate AI components into backend services and RESTful APIs.

• Deploy systems to AWS or GCP/Azure as required by the customer, utilizing containers and CI/CD methodologies.

• Implement LLMOps and AgentOps practices, encompassing agent tracing, prompt and version management, cost and latency monitoring, regression testing, and drift detection.

• Start from blueprints and facilitate enablement and handover through documentation, runbooks, and collaboration with client engineers.

• Contribute reusable components and insights back into Provectus Blueprints.

• Engage in technical discussions and contribute to architectural decisions.

• Perform model evaluations, enhance failure modes, and optimize model performance, efficiency, and reliability.

• Mentor junior and mid-level AI engineers, conduct code reviews, and disseminate knowledge through documentation, presentations, and workshops.

⛳️ Requirements

• Proactive and self-motivated; seek clarity instead of waiting for tasks to be assigned.

• Exceptional communication and problem-solving abilities.

• Comfortable with ambiguity and take ownership of projects.

• Proficient in English at a B2+ level, comfortable collaborating with distributed, multicultural teams.

• Over 5 years of experience in software or ML engineering, with accountability for production systems.

• Strong foundational knowledge in AI/ML and the ability to analyze model failure modes.

• Experience shipping production LLM applications and agentic workflows, rather than demos, POCs, or notebooks.

• Familiarity with multi-step workflows, graph-based orchestration, tool utilization, state management, and recovery from partial failures.

• Experience with LLM APIs such as Anthropic, AWS Bedrock, or OpenAI, as well as agent frameworks.

• Proven experience in building and optimizing RAG systems in a production environment.

• Solid engineering fundamentals with a full-stack perspective across AI, backend development, and cloud infrastructure.

• Proficiency in Python and/or TypeScript.

• Practical AWS production experience, including Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or equivalents.

• Experience delivering cloud-native solutions using containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines.

• Developed or managed an evaluation suite for a non-deterministic system, including ground truth and release gates.

• Experience in model and agent monitoring and drift detection.

• Expertise in cost and latency optimization, including model tiering and caching strategies.

• Hands-on production experience with the Claude ecosystem, including Claude Code, CLAUDE.md, hooks, and skills files.

• Knowledge of MCP, including the advantages of agent versus REST integration.

• Additional experience considered a plus: financial services, insurance, or healthcare; consulting or embedded customer-facing delivery; AWS and Claude Code certifications; A2A; CI/CD pipelines; NLP, LLMs, or recommendation engines; proficiency in Go, TypeScript, or Rust; experience with Apache Spark, Apache Airflow, or Kafka.

🏝️ Benefits

• A remote-friendly work culture.

• Internal training programs with comprehensive support for Claude, AWS, and other professional certifications.

• Opportunities to attend conferences.

• Career development focused on active engineer growth.

• Access to the latest AI tools and premium subscriptions.

• Long-term B2B collaboration opportunities.

• Private medical insurance or a budget for medical expenses.

• Paid sick leave, vacation, and public holidays.

• Provision of equipment and all necessary technology for a comfortable and productive work environment.