About the Role
We are looking for a Senior AI Engineer & Team Lead to drive the design, development, and delivery
of advanced AI and Generative AI solutions for our clients. This role combines hands-on technical
leadership, team leadership, and client-facing responsibility, ensuring high-quality delivery across
multiple AI projects.

You will lead a team of AI engineers while actively collaborating with clients, project managers, and
internal stakeholders to translate business needs into robust, scalable AI solutions.

Key Responsibilities
Technical Leadership & Delivery
▪ Design, develop, and deploy AI and Generative AI solutions, including LLM-based systems
▪ Own technical architecture, model selection, and implementation decisions
▪ Build and scale solutions including ML pipelines, LLM-based systems, and computer vision
▪ Lead implementation of RAG architectures, vector databases, and retrieval strategies
▪ Ensure production readiness, scalability, performance, security and cost of AI systems
▪ Review code, models, and experiments to maintain high engineering standards
▪ Establish and enforce best practices in data processing, model evaluation, and MLOps

Team Leadership & Mentorship
▪ Lead, mentor, and support a team of ML/AI engineers
▪ Set clear technical direction, priorities, and quality expectations
▪ Provide ongoing feedback, conduct technical reviews, and support skill development
▪ Foster a culture of ownership, accountability, and collaboration
▪ Support hiring, onboarding, and performance management of team members

Client Collaboration & Communication
▪ Serve as the technical point of contact for clients on AI-related topics
▪ Collaborate directly with clients to understand technical requirements and assess AI feasibility
▪ Present technical solutions, demos, and progress updates to client stakeholders
▪ Translate client business goals into clear technical approaches and implementation plans
▪ Set and manage expectations around AI capabilities, limitations, and delivery timelines

Project & Resource Management
▪ Lead AI engineering efforts across multiple concurrent client projects
▪ Balance team capacity and skills across 3–5 simultaneous engagements
▪ Prioritize competing demands and clearly communicate technical trade-offs
▪ Ensure consistent quality and engineering standards across all client work
▪ Work closely with Project Managers to estimate effort, plan delivery, and manage technical

Innovation & Continuous Improvement
▪ Stay current with AI and Generative AI advancements and assess practical applications
▪ Drive experimentation and adoption of new tools, frameworks, and methodologies
▪ Improve internal processes, documentation, and engineering workflow

Requirements
▪ 6+ years of software engineering experience
▪ 4+ years of experience in AI, Machine Learning; building ML/AI systems
▪ 3+ years of experience in deploying ML/AI models into production environment
▪ Strong hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, scikit- learn)
▪ Practical experience with Generative AI / LLMs (OpenAI, Anthropic, or open-source models)

Strong understanding of:
o Machine learning algorithms and evaluation methods
o LLMs and generative AI architectures
o Data pipelines and feature engineering
▪ Experience building and deploying AI systems into production environments
▪ Experience with MLOps pipelines and tools ( as Weights & Biases, AWS SageMaker ect’)
▪ Prior experience leading or mentoring engineers
▪ Strong communication skills, including client-facing technical discussions
▪ High sense of ownership, accountability, and delivery focus

Nice to Have
▪ Experience with cloud platforms (AWS, GCP, Azure)
▪ Familiarity with vector databases, RAG architectures, and MLOps pipelines
▪ Experience in fast-paced startup or consultancy environments

What We Offer

• Senior leadership role with real technical and client ownership
• Opportunity to shape AI strategy, delivery standards, and team culture
• Exposure to diverse, real-world AI use cases
• Collaborative, growth-oriented environment