Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Bridge Building, Civil Engineering, Cloud Computing, Communication Skills, Engineering, GCP (Good Clinical Practices), MCP - Microsoft Certified Professional, Microservices, Microsoft Windows Azure, Problem Solving Skills, Production Systems, Python Programming/Scripting Language, Scalable System Development, Software Development, Software Engineering, Systems Scalability, Use Cases
We are looking for an AI Engineer/Strategist
This role is for individuals who don’t just understand AI—they know how to apply it to solve real business problems, build scalable solutions, and drive adoption.
Responsibilities:
- 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, GCP, or Azure)
- Ability to operate as both a builder and a strategist—comfortable coding and advising
Required Skills:
- 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