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Tech Stack
Tools & technologiesAWSCloudDockerElasticSearchKubernetesPandasPythonPyTorchScikit-Learn
About the role
Key responsibilities & impact- AI Systems & LLM Engineering: Design and build modern AI applications using LLMs, RAG, agents, embeddings, vector databases, and advanced prompting techniques. Develop AI workflows that are reliable, measurable, and production-ready.
- Backend Development: Build scalable backend services and APIs in Python, using frameworks such as FastAPI. Integrate AI models into existing systems with clean architecture, strong typing, validation, testing, and maintainable code.
- Data & Retrieval Infrastructure: Work with structured and unstructured data, document pipelines, embeddings, semantic search, and retrieval systems using tools such as FAISS, Pinecone, Weaviate, or similar technologies.
- Production AI & MLOps: Deploy, monitor, and improve AI systems in production. Work on evaluation pipelines, observability, latency optimization, cost control, error handling, model versioning, and CI/CD workflows.
- Cross-Functional Collaboration: Collaborate with software engineers, data scientists, product managers, and maritime experts to define requirements, validate solutions, and deliver business impact quickly.
- Documentation & Knowledge Sharing: Maintain clear technical documentation for architecture, APIs, prompts, evaluation methods, deployment processes, and operational decisions.
Requirements
What you’ll need- Educational Background: BSc or MSc in Computer Science, Engineering, Mathematics, Physics, or another STEM field.
- Professional Experience: 3+ years of experience in machine learning, AI engineering, backend engineering, or a related technical role.
- Backend Engineering Skills: Strong Python experience and solid software engineering fundamentals, including API design, testing, debugging, clean architecture, asynchronous processing, and production-grade code.
- AI & LLM Expertise: Hands-on experience with LLMs, RAG systems, embeddings, prompt engineering, model evaluation, and AI workflow orchestration.
- Technical Stack: Experience with tools and libraries such as PyTorch, Scikit-learn, Pandas, Pydantic, FastAPI, Hugging Face, LangChain, LlamaIndex, or similar frameworks.
- Vector Search & Retrieval: Experience with vector databases or similarity search tools such as FAISS, Pinecone, Weaviate, Qdrant, or Elasticsearch/OpenSearch.
- Model Provider Integration: Familiarity with AI models and APIs from providers such as OpenAI, Anthropic, Google, Meta, or open-source model ecosystems.
- Cloud & DevOps: Experience with cloud platforms, Git, Docker, CI/CD, and production deployment workflows. Kubernetes and AWS experience are considered a plus.
- Communication: Fluent English and strong communication skills, with the ability to explain technical ideas clearly and work effectively in a fast-moving team.
- Additionally, the following will be considered a plus:
- Experience in the maritime, shipping, logistics, or supply-chain industry.
- Strong software engineering or backend platform background.
- Experience with AWS services such as Lambda, ECS, EKS, S3, RDS, Bedrock, SageMaker, or CloudWatch.
- Experience building AI agents, tool-calling systems, workflow automation, or internal AI platforms.
- Experience with evaluation frameworks, LLM observability, guardrails, security, and compliance for AI systems.
- Strong product mindset and ability to turn ambiguous business problems into practical technical solutions.
Benefits
Comp & perks- Attractive compensation package based on experience and skillset
- 30 days of paid annual leave
- Comprehensive private health insurance coverage for your entire family
- Hybrid way of work
- Yoga classes, Life Coach, Running Coach and Kick-Boxing Sessions
- Cool start-up environment (with swag, and much more)
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAPI DesignMachine LearningAI EngineeringPrompt EngineeringModel EvaluationAsynchronous ProcessingClean ArchitectureTestingDebugging
Soft Skills
Strong Communication SkillsCollaboration