AI Engineer/ Strategist
Advanced
5 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Python
Software Engineering
Data Streaming
TypeScript
Google Cloud Platform
Large Language Models
Prompt Engineering
Backend
Event Driven Architecture
Build Management
Kafka
Api Design
Microservices
Job description
- Design and build AI-powered solutions using LLMs, agents, and modern AI frameworks
- Develop and deploy production-grade applications leveraging tools like OpenAI, Anthropic, or similar platforms
- Build and optimize RAG pipelines, embeddings, and vector database integrations
- Design and implement agentic workflows, tool-calling systems, and automation frameworks
- Partner with business stakeholders to identify high-impact AI use cases and translate them into technical solutions
- Evaluate emerging AI tools and technologies and recommend best-fit solutions
- Ensure scalability, reliability, and security of AI systems in production environments
Requirements
- 4 years of software engineering experience (Python, TypeScript, or similar)
- Hands-on experience with LLMs and AI application development (OpenAI, Anthropic, etc.)
- Strong understanding of prompt engineering, RAG, and agent-based architectures
- Experience building APIs, microservices, and scalable backend systems
- Familiarity with vector databases (Pinecone, pgvector, etc.)
- Experience with cloud platforms (AWS, Google Cloud Platform, or Azure)
- Ability to operate as both a builder and a strategist-comfortable coding and advising, * Builder-first mindset with a bias toward execution
- Curious, adaptable, and comfortable in a rapidly evolving AI landscape
- Able to connect technical solutions to real business outcomes
- Strong collaborator who can bridge engineering and business teams
Preferred Skills:
- Experience with Model Context Protocol (MCP) or similar connector frameworks
- Background in building internal AI tools or enterprise AI adoption initiatives
- Experience with LangChain, LlamaIndex, or similar frameworks
- Exposure to event-driven systems (Kafka, streaming, etc.)
- Strong communication skills with ability to influence non-technical stakeholders