Senior Software Engineer-AI

Overview

is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We build intelligent, cutting-edge solutions designed to scale and evolve with the future of artificial intelligence.

We are looking for a Senior Software Engineer-AI with 3+ years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment—fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies.

What we are looking from an ideal candidate?

• Build and deploy AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs).
• Design and implement Agentic AI systems—autonomous agents capable of planning and executing multi-step tasks.
• Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products.
• Write clean, scalable code and build robust APIs and services to support AI model deployment.
• Own feature delivery end-to-end—from research and experimentation to deployment and monitoring.
• Stay current with emerging AI frameworks, tools, and best practices and apply them in product development.
• Contribute to a high-performing team culture and mentor junior team members as needed.
  
  

What skills do you need?

• 3–6 years of overall software development experience, with 3+ years specifically in AI/ML engineering.
• Strong proficiency in Python, with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face).
• Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio).
• Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel).
• Experience building and deploying ML models to production environments.
• Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts.
• Comfortable working in a startup-like environment—self-motivated, adaptable, and willing to take ownership.
• Solid understanding of API development, version control, and modern DevOps/MLOps practices.