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For Companies At a Glance
- Tasks: Design and deploy autonomous AI agents using cutting-edge frameworks.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Why this job: Make a real impact by creating intelligent solutions that transform industries.
- Qualifications: Proficiency in Python and experience with Large Language Models required.
- Other info: Be part of a dynamic team with endless learning opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Core Responsibilities
- Design, develop, and deploy autonomous AI agents using frameworks like LangChain or LlamaIndex.
- Implement agent reasoning, planning, and tool use for executing real-world, multi-step workflows.
- Integrate memory systems and RAG (Retrieval-Augmented Generation) using vector databases for context management.
- Ensure agent reliability, safety, and governance by establishing robust guardrails and error handling.
- Collaborate with product teams to translate complex business needs into agent-based automation solutions.
- Monitor, scale, and maintain deployed agents as production microservices on cloud platforms.
Key Technical Skills
- Expertise in Python and modern software development practices.
- Hands-on experience with Large Language Models (LLMs) and advanced prompt engineering.
- Familiarity with containerization (Docker/Kubernetes) and CI/CD pipelines.
- Knowledge of cloud infrastructure (AWS, Azure, or GCP) for AI service deployment.
AI Developer employer: HCLTech
Contact Detail:
HCLTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Developer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, attend meetups, and join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with LangChain or LlamaIndex. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Practice makes perfect! Prepare for technical interviews by solving coding challenges and brushing up on your Python skills. We recommend using platforms that focus on AI-related problems to get in the zone.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented AI Developers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI development, especially using frameworks like LangChain or LlamaIndex. We want to see how your skills align with our core responsibilities, so don’t hold back!
Showcase Your Projects: Include any relevant projects where you've designed or deployed AI agents. We love seeing hands-on experience, especially if you’ve worked with LLMs or containerization tools like Docker and Kubernetes.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI and how you can contribute to our team. Make it personal and connect your experiences to the role we’re offering.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at HCLTech
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with frameworks like LangChain and LlamaIndex. Be ready to discuss your hands-on experience with Large Language Models and how you've implemented them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific examples where you've designed and deployed AI agents. Highlight how you approached complex workflows and the reasoning behind your decisions, especially when it comes to integrating memory systems and RAG.
✨Understand the Bigger Picture
Be ready to discuss how your work as an AI Developer fits into the broader business context. Think about how you've collaborated with product teams to translate business needs into effective automation solutions.
✨Demonstrate Your Cloud Savvy
Familiarise yourself with cloud platforms like AWS, Azure, or GCP. Be prepared to explain how you've monitored and maintained deployed agents as microservices, and share any experiences with containerization and CI/CD pipelines.