Mid Level AI Engineer

What You’ll Do

• Design, build, and deploy AI-powered applications using Large Language Models, foundation models, and modern Generative AI frameworks.
• Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources.
• Create intelligent AI agents and workflows capable of interacting with APIs, external tools, and business systems.
• Build scalable REST APIs, backend services, and cloud-native architectures to support AI-powered products.
• Collaborate with cross-functional teams to translate business requirements into robust, production-ready AI solutions.

What We’re Looking For

• 2–3 years of professional software engineering experience, specifically in AI engineering.
• Hands-on experience building applications using Generative AI technologies, Large Language Models, and leading LLM providers like OpenAI, Anthropic, Gemini, Azure OpenAI, or open-source models.
• Strong Python development skills with experience building REST APIs, microservices, and scalable backend applications.
• Practical experience implementing RAG architectures using vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or FAISS.
• Understanding of software engineering best practices including Git, CI/CD, testing, code reviews, and cloud platforms such as AWS, Azure, or Google Cloud.
• Bonus points for experience building multi-agent AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies.
• Familiarity with Model Context Protocol (MCP) and emerging agent interoperability standards.
• Experience with LLM observability and evaluation platforms such as LangSmith, Langfuse, Arize, or similar tools.
• Experience deploying containerized applications using Docker and Kubernetes.
• Exposure to frontend technologies such as React, TypeScript, modern web frameworks, or contributions to open-source AI projects.

Benefits

• Medical, Dental, and Vision coverage.
• 401(k) with company match.
• Maternity and paternity leave, plus dependent care support.
• Tuition reimbursement, wellness reimbursement, HSA and FSA options.
• Commuter benefits and access to the Working Advantage employee discount marketplace.

About the Role

The Role Capco is seeking a Generative AI Engineer to help design, develop, and deploy intelligent applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures. You will work alongside software engineers, product managers, and AI specialists to deliver scalable, production-grade AI solutions that solve complex business challenges and create exceptional user experiences.

Practice Area

Practice Area: Technology & Engineering

Type

Type: Permanent

Pay

Not specified

Schedule

Hybrid