Senior/Lead AI Engineer

Expected Candidate Profile:

• 7+ years of overall software engineering experience.
• Strong hands-on Python programming and backend development experience.
• Practical experience developing AI/ML-based applications.
• Good understanding of Generative AI, LLMs, SLMs, and Prompt Engineering.
• Experience building RAG-based applications and knowledge retrieval systems.
• Experience developing AI Agents and orchestrated workflows.
• Familiarity with LangChain, LangGraph, Hugging Face, or equivalent frameworks.
• Experience with vector databases, embeddings, and semantic search.
• Ability to design reusable, modular, and scalable AI components.
• Experience mentoring junior developers and reviewing technical implementations.
• Ability to collaborate with solution architects and translate architecture into implementation plans.

Key Expectations:

• Lead the development of AI modules and application components.
• Work with the AI Solution Architect to translate solution architecture into technical implementation.
• Mentor and guide AI engineering interns and junior developers.
• Establish development standards, coding practices, and AI engineering guidelines.
• Ensure quality, performance, scalability, security, and reliability of AI implementations.
• Drive technical problem-solving and resolve complex implementation challenges.
• Participate in technical design reviews, code reviews, testing, and deployment activities.
• Take ownership of assigned AI modules from design through delivery.
• Practical experience in developing AI applications, integrating LLMs, building RAG pipelines, implementing AI Agents, and delivering scalable AI-powered modules.

We are looking for professionals who combine strong engineering fundamentals, practical AI development experience, technical leadership, and a passion for building enterprise AI solutions.

The selected candidates will be responsible for leading a team of junior AI engineers and engineering interns while working closely with the AI Solution Architect to design, develop, and deliver enterprise-grade AI-powered solutions.

Interested candidates should have experience delivering working AI applications rather than limiting their exposure to AI research, experimentation, or prompt engineering alone.

Skills

AI, Generative AI, LLM, ML, Machine Learning, Python, SLM