Agentic AI Engineer
About the role
Flat Rock Technology is seeking an Agentic AI Engineer to design, build, and deploy AI agents capable of autonomous reasoning, decision-making, and self-directed task execution. The role involves architecting intelligent systems that can plan multi-step tasks, use tools, interact with enterprise systems, and complete complex workflows with appropriate guardrails and human oversight. Responsibilities span the full lifecycle from research and prototyping to production deployment and monitoring, collaborating with cross-functional teams to deliver agentic solutions that address real operational challenges. The company offers a supportive environment, opportunities for professional growth, and hybrid working arrangements.
Must have
- Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field.
- 3+ years of software engineering experience (Python and/or TypeScript).
- 1+ year building LLM-powered or agentic AI systems in production or near-production environments.
- Experience with agent frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel).
- Hands-on experience with automation/orchestration tools (e.g., n8n, Make) in production settings.
- Strong understanding of LLMs, embeddings, prompt engineering, structured outputs, and tool calling.
- Experience designing REST APIs, microservices, and backend systems.
- Familiarity with vector databases and RAG architectures.
- Strong system design, debugging, and communication skills.
Nice to have
- Experience with MCP, A2A, or advanced agent communication patterns.
- Advanced experience with n8n (custom nodes, self-hosting) or Make (complex scenarios).
- Experience combining LLMs with workflow engines for document processing, reporting, chatbots, or decision support.
- Familiarity with AI evaluation and observability tools (e.g., LangSmith, OpenAI Evals, Weights & Biases).
- Experience with multi-agent systems, planning algorithms, RL, fine-tuning, or RLHF.
- Experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and infrastructure-as-code tools.
- Knowledge of CI/CD pipelines and security best practices.
- Experience in regulated industries (e.g., healthcare, finance, defense).
- Relevant cloud or ML certifications.
Technologies
- Agentic AI
- AutoGen
- AWS
- Azure
- CI/CD
- CrewAI
- CRM
- Docker
- Embeddings
- ERP
- Fine-Tuning
- GCP
- Infrastructure as Code
- Kubernetes
- LangChain
- LangGraph
- LangSmith
- LLM
- Machine Learning
- MCP
- Microservices
- n8n
- Observability
- OpenAI
- Prompt Engineering
- Prototyping
- Python
- RAG
- REST
- RLHF
- Semantic Kernel
- Terraform
- TypeScript
- Vector Databases
Highlights
Applicants are required to send their CV in English. The company offers hybrid working arrangements, modern offices worldwide, and various team events. Only short-listed candidates will be invited for an interview. All applications are treated confidentially and used for recruitment purposes only.
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