At a Glance
- Tasks: Design and develop AI-driven systems, focusing on backend development and multi-agent workflows.
- Company: Join a global team dedicated to creating impactful AI solutions with a brilliant culture.
- Benefits: Enjoy up to 20 days' vacation, various insurances, and opportunities for professional growth.
- Other info: Work with tools like FastAPI, LangChain, and deploy on Google Cloud Platform.
- Why this job: Be part of exciting projects that allow you to shape the role and make a societal impact.
- Qualifications: Requires a Bachelor's or Master's in Computer Science or AI with 5+ years of experience.
The predicted salary is between 60000 - 80000 £ per year.
Responsible for designing, developing, and deploying AI-driven agentic systems that enable autonomous decision-making, multi-agent collaboration, and scalable AI workflows. The role focuses on building intelligent backend systems using LLM frameworks and cloud-native architectures.
Responsibilities
- Develop RESTful APIs (FastAPI/Flask) for AI and agent-based systems.
- Design and implement agentic workflows using frameworks like LangChain, LangGraph, or similar.
- Integrate LLMs with enterprise systems for contextual and intelligent automation.
- Build and manage multi-agent orchestration systems and pipelines.
- Optimize performance and scalability of AI backend services.
- Implement authentication, logging, and observability.
- Deploy solutions on GCP using GKE, Cloud Run, and Vertex AI.
- Ensure security and compliance standards for AI workloads.
- Implement CI/CD pipelines for AI applications.
Required Skills
- Strong experience in Python and backend development.
- Hands-on experience with LLM frameworks: LangChain, LangGraph, HuggingFace.
- Experience with agent-based architectures and RAG implementations.
- Knowledge of Google Cloud Platform (Vertex AI, GKE, Cloud Run).
- Familiarity with MCP servers and A2A communication models.
- Experience in databases: PostgreSQL, MongoDB, Redis, FAISS.
- Experience with EasyRAG or Google ADK.
- Exposure to Streamlit UI for AI apps.
- Knowledge of Terraform and CI/CD automation.
- Experience with Kubernetes-based deployments.
Qualifications
- Bachelor's or Master's degree in Computer Science, AI, or related field with 5+ years of experience in software development and AI engineering.
Benefits
- A supportive, diverse and global team with a brilliant culture.
- Competitive compensation and benefits include up to 20 days' vacation per year, various insurances like Term life, AD & D and Business Travel insurance.
- Great opportunities to make the role your own, upskill yourself and get involved with exciting projects.
- Total Wellbeing is our focus.
Artificial Intelligence Engineer employer: HCL Technologies
This company offers a supportive and diverse environment focused on total wellbeing. Located globally, it provides competitive compensation and benefits, including up to 20 days' vacation and various insurances. Join likeminded colleagues in initiatives like the CSR Council and Diversity Council to create a larger impact.
We think you need these skills to ace Artificial Intelligence Engineer
Python
Backend Development
LLM Frameworks (LangChain, LangGraph, HuggingFace)
Agent-Based Architectures
RAG Implementations
Google Cloud Platform (Vertex AI, GKE, Cloud Run)
PostgreSQL
