🛠 Tech Stack

💼 About This Role

You'll design and deliver complex generative AI solutions at a leading technology consultancy. You'll take ideas from prototype to production, work with cross-functional teams, and ensure systems are reliable, scalable, and cost-effective. This role offers the chance to mentor junior engineers and champion best practices in a dynamic, remote-friendly environment.

🎯 What You'll Do

• Design, build, and deploy GenAI applications using RAG, agents, and multi-agent systems
• Own key features or components, ensuring they are well-structured and maintainable
• Collaborate with product managers, designers, and data scientists to turn business needs into solutions
• Review code and provide constructive feedback to peers

📋 Requirements

• Python with strong software engineering fundamentals (CI/CD, testing, version control)
• Experience with GenAI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and agentic frameworks
• Hands-on experience with RAG pipelines and vector databases (e.g., FAISS, Pinecone, Weaviate)
• Experience deploying AI solutions on cloud platforms (AWS, Azure, or GCP) with Docker and CI/CD

✨ Nice to Have

• Experience with LLMOps and observability tools (e.g., Langfuse, PromptLayer, OpenTelemetry)
• Exposure to fine-tuning and ML/NLP frameworks (PyTorch, Hugging Face Transformers)

🎁 Benefits & Perks

• 📚 Learning & Development – interactive tools and programs to grow your career
• 🤝 Collaborative Culture – supportive colleagues and a cultivation community

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min