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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. The more connections we make, the better our chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with LangChain or LlamaIndex. We want to see your hands-on experience with AI agents and how you tackle real-world problems.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with LLMs and cloud platforms. We need to demonstrate our expertise and confidence when it counts.
✨Tip Number 4
Apply through our website! It’s the best way to get noticed. Tailor your application to highlight your experience with agent reasoning and memory systems, and let’s get you in front of 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!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background in Python and LLMs makes you a perfect fit for us. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's deploying microservices or integrating memory systems, we love seeing real-world applications of your skills.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at HCLTech
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the frameworks mentioned, like LangChain or LlamaIndex. Brush up on your knowledge of Large Language Models and be ready to discuss your hands-on experience with them. The more confident you are in your technical skills, the better you'll impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've implemented agent reasoning or planning in real-world scenarios. Think about how you’ve tackled complex workflows and what tools you used. This will demonstrate your ability to translate business needs into effective automation solutions.
✨Familiarise Yourself with Cloud Platforms
Since the role involves deploying AI services on cloud platforms, make sure you understand AWS, Azure, or GCP. Be ready to talk about your experience with containerization and CI/CD pipelines. Showing that you can manage and scale microservices will definitely give you an edge.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI governance and safety measures. This not only shows your interest but also your understanding of the importance of reliability in AI systems. It’s a great way to engage with the interviewers and leave a lasting impression.