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Position: AI Engineer
Experience: Minimum 2 Years
Location: Noida (Sec-132)
Position Overview
We are seeking an experienced Generative AI to join our AI Engineering team. This role combines deep technical expertise in generative AI with team leadership and project management responsibilities. The ideal candidate will drive the strategy and execution of our generative AI initiatives, mentor a team of AI engineers, and provide strategic input on AI product development and architecture decisions.
Key Responsibilities
• Lead and mentor a team of AI/ML engineers, fostering a culture of innovation, continuous learning, and technical excellence
• Provide strategic technical input on generative AI project planning, architecture, and technology selection
• Design, develop, and deploy production-grade generative AI solutions using LLMs, RAG systems, and fine-tuning techniques
• Lead code reviews and establish best practices for generative AI development and responsible AI deployment
• Collaborate with product and business teams to translate requirements into technical roadmaps and project milestones
• Evaluate and integrate emerging generative AI models, frameworks, and tools (OpenAI, Anthropic, open-source models, etc.)
• Monitor and optimize LLM performance, cost efficiency, latency, and reliability in production environments
• Document architectural decisions, maintain technical documentation, and conduct knowledge-sharing sessions
Required Qualifications
• Minimum 2 years of professional experience in generative AI, LLM development, or related AI/ML fields
• Proven experience working with large language models (LLMs), prompt engineering, RAG systems, or fine-tuning
• Strong software engineering fundamentals: Python, system design, API integration, and deployment pipelines
• Demonstrated experience leading or mentoring technical teams
• Experience with generative AI platforms and APIs (OpenAI GPT, Claude, Hugging Face, Azure OpenAI, etc.)
• Ability to communicate complex technical concepts to non-technical stakeholders
Preferred Qualifications
• Hands-on experience with production generative AI systems at scale
• Familiarity with vector databases, embeddings, and semantic search technologies
• Experience with ML operations (MLOps), model monitoring, and evaluation metrics
• Knowledge of responsible AI, bias mitigation, and ethical AI practices
• Experience with cloud platforms (AWS, GCP, Azure) for ML workloads
• Contributions to open-source AI/ML projects or published research
• Advanced degree (Master’s/PhD) in Computer Science, AI, or related field
Core Competencies
• Technical Expertise: Generative AI, LLMs, deep learning, NLP, prompt engineering
• Leadership: Team management, mentoring, decision-making, stakeholder management
• Project Management: Agile methodologies, roadmap planning, prioritization
• Problem Solving: Complex system design, optimization, troubleshooting
• Communication: Clear documentation, presentations, cross-functional collaboration
Team Leadership & Project Input
Team Management
• Build and manage a high-performing AI engineering team (initial team size: 4-6 engineers)
• Conduct regular one-on-ones, performance reviews, and career development planning
• Create a collaborative environment that encourages knowledge sharing and innovation
Project Input & Strategic Planning
• Participate in product roadmap discussions and provide technical feasibility assessments
• Identify technical risks, propose mitigation strategies, and manage technical debt
• Lead architecture reviews and ensure alignment with company technical standards
• Provide recommendations on tool selection, technology stack, and infrastructure decisions
• Contribute to hiring and team expansion planning
What We Offer
• Competitive salary and comprehensive benefits package
• Opportunity to lead cutting-edge generative AI initiatives
• Professional development and continuous learning opportunities
• Flexible work environment with remote options
• Collaborative and innovative company culture
• Equity participation and performance bonuses
Work arrangement
No
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