Principal AI Engineer

Hey there! 👋

At Hivel, we are pioneering innovative solutions that push the boundaries of software engineering productivity. Our next big move? Building AI-driven products that redefine intelligent automation.

We are looking for a Principal AI Engineer to help design, build, and scale our next AI agent—or even launch an entirely new AI product line. This role is a 50% hands-on engineering + 50% leadership opportunity, perfect for someone who wants to architect AI-driven systems, lead an elite team, and drive AI innovation at scale.

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What you'll be doing?

AI System Architecture & Leadership (50%)

• Design large-scale AI architectures that support real-time, AI-driven decision-making.
• Lead the development of AI-powered agent systems, focusing on LLMs, RAG, and knowledge-based AI.
• Define and execute Hivel’s AI strategy, identifying opportunities for new AI-powered product lines.
• Hire, mentor, and grow an AI engineering team, setting best practices for AI development.
• Conduct technical reviews, strategic planning, and AI innovation roadmaps.
• Establish AI governance frameworks.

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Hands-On AI Engineering (50%)

• Architect, develop, and deploy AI-powered agent architectures using deep learning, transformers, and reinforcement learning.
• Implement real-time AI inference systems, focusing on vector search, knowledge graphs, and multi-agent AI frameworks.
• Optimise AI pipelines for scalability, cost-efficiency, and low-latency inference.
• Work with AWS, Azure, or GCP to build and deploy production-grade AI models.
• Experiment with AutoGPT, CrewAI, OpenAI Function Calling, and LangChain to explore novel AI use cases.
• Conduct rapid proof-of-concepts (PoCs), iterate based on performance, and deploy cutting-edge AI features.

Key Responsibilities

AI Architecture & Development

• Build scalable AI agent frameworks that enhance software automation.
• Integrate retrieval-augmented generation (RAG) to enhance AI-driven decision-making.
• Work with large-scale vector databases (FAISS, Pinecone, Weaviate) for efficient knowledge retrieval.
• Develop multi-agent AI systems, leveraging LLMs, reinforcement learning, and prompt orchestration.

Leadership & Strategy

• Define technical roadmaps and architectural best practices for AI-driven products.
• Partner with cross-functional teams to align AI strategies with business goals.
• Lead AI-focused technical reviews, sprint planning, and innovation discussions.
• Drive team growth, hiring, and mentorship for AI engineers.

Qualifications

Experience & Technical Expertise

✔ Overall 7+ years of experience and 3+ years of AI/ML experience with a track record of designing AI-powered applications.

✔ Proven leadership experience, managing AI teams and mentoring engineers.

✔ Deep learning, NLP, and generative AI expertise, including LLMs, transformers, and reinforcement learning.

✔ Strong experience with Python, PyTorch, TensorFlow, and AI/ML libraries.

✔ Hands-on knowledge of real-time AI processing, cloud AI deployments, and knowledge retrieval systems.

✔ Proficiency in MLOps best practices, including model retraining, AI observability, and scalable AI architectures.

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Nice-to-Have Skills

➕ Experience with multi-agent AI architectures (AutoGPT, CrewAI, LangChain, OpenAI Function Calling).

➕ Experience launching AI-driven SaaS products or enterprise AI solutions.

➕ Familiarity with multi-modal AI, combining text, vision, and structured data.

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Why Hivel?

🚀 Lead & Build AI Innovations – Shape Hivel’s AI strategy and work on cutting-edge AI agent technology.

💡 Leadership + Hands-On – A perfect 50/50 split between architecting AI solutions, coding and leading teams.

⚡ High Impact Role – Your work will directly influence the future of AI-driven automation.

🏆 Competitive Salary + Equity – Be rewarded for building high-impact AI solutions.

🌟 Are you ready to redefine AI-driven engineering? Apply now and help us build the next generation of AI automation at Hivel!

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Location : Hyderabad