AI Engineering Lead
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Key skills for this role
About the Role
Jobgether is seeking an AI Engineering Lead to design and deliver cutting-edge AI solutions, mentor a high-performing team, and establish best practices. The role requires extensive hands-on experience with AI/ML, Python, LLMs, and cloud platforms.
Key Skills for This Role
Responsibilities
- Lead, mentor, and develop a high performing AI engineering team while fostering a culture of innovation, collaboration, and technical excellence
- Serve as the primary technical authority for AI initiatives, providing guidance on architecture, implementation strategies, and engineering best practices
- Design and deliver production ready AI solutions, including machine learning systems, generative AI applications, RAG platforms, and agent based workflows
- Translate complex technical concepts into clear recommendations and actionable insights for both technical and non technical stakeholders
- Advise clients and internal teams on AI roadmaps, solution design, technology selection, and delivery strategies
- Establish and promote standards for AI first software development, cloud deployment, code quality, security, scalability, and operational excellence
- Oversee the successful execution of multiple AI projects, ensuring high quality delivery and alignment with business objectives
- Evaluate emerging technologies and identify opportunities to enhance products, services, and engineering practices
- Collaborate closely with cross functional teams to ensure efficient deployment, adoption, and ongoing optimization of AI solutions
Requirements
- Extensive hands on experience designing, building, and deploying AI and machine learning solutions in production environments
- Strong proficiency in Python and modern AI frameworks, tools, and libraries
- Proven experience developing LLM applications, RAG systems, AI agents, and AI driven microservices
- Familiarity with LangChain, LlamaIndex, vector databases, PyTorch, TensorFlow, Docker, Kubernetes, and cloud platforms (AWS, Azure, or Google Cloud)
- Solid understanding of MLOps, LLMOps, CI/CD pipelines, AI observability, model monitoring, performance optimization, latency management, and cost control
- Demonstrated success leading, mentoring, or managing engineering teams in complex technical environments
- Experience designing scalable, secure, and maintainable cloud based architectures
- Strong consulting, stakeholder management, and client facing communication skills
- Ability to explain technical trade offs and strategic decisions to audiences with varying levels of technical expertise
- Passion for continuous learning and staying current with advancements in artificial intelligence and software engineering
Full Job Posting
Opportunity Overview
- This is a unique opportunity for an experienced AI leader to combine hands on technical expertise with strategic engineering leadership in a fast evolving environment.
- The role focuses on designing and delivering cutting edge AI solutions while establishing best practices that drive excellence across multiple projects and teams.
- You will work closely with engineers, business stakeholders, and clients to transform complex AI concepts into practical, high impact applications.
Accountabilities
- Lead, mentor, and develop a high performing AI engineering team while fostering a culture of innovation, collaboration, and technical excellence.
- Serve as the primary technical authority for AI initiatives, providing guidance on architecture, implementation strategies, and engineering best practices.
- Design and deliver production ready AI solutions, including machine learning systems, generative AI applications, retrieval augmented generation (RAG) platforms, and agent based workflows.
- Translate complex technical concepts into clear recommendations and actionable insights for both technical and non technical stakeholders.
- Advise clients and internal teams on AI roadmaps, solution design, technology selection, and delivery strategies.
- Establish and promote standards for AI first software development, cloud deployment, code quality, security, scalability, and operational excellence.
- Oversee the successful execution of multiple AI projects, ensuring high quality delivery and alignment with business objectives.
- Evaluate emerging technologies and identify opportunities to enhance products, services, and engineering practices.
- Collaborate closely with cross functional teams to ensure efficient deployment, adoption, and ongoing optimization of AI solutions.
Requirements
- Extensive hands on experience designing, building, and deploying AI and machine learning solutions in production environments.
- Strong proficiency in Python and modern AI frameworks, tools, and libraries.
- Proven experience developing large language model (LLM) applications, retrieval augmented generation (RAG) systems, AI agents, and AI driven microservices.
- Familiarity with technologies such as LangChain, LlamaIndex, vector databases, PyTorch, TensorFlow, Docker, Kubernetes, and cloud platforms including AWS, Azure, or Google Cloud.
- Solid understanding of MLOps, LLMOps, CI/CD pipelines, AI observability, model monitoring, performance optimization, latency management, and cost control.
- Demonstrated success leading, mentoring, or managing engineering teams in complex technical environments.
- Experience designing scalable, secure, and maintainable cloud based architectures.
- Strong consulting, stakeholder management, and client facing communication skills.
- Ability to explain technical trade offs and strategic decisions to audiences with varying levels of technical expertise.
- Passion for continuous learning and staying current with advancements in artificial intelligence and software engineering.
Benefits
- Fully remote work environment offering flexibility and work life balance.
- Opportunity to lead innovative AI initiatives using the latest technologies and methodologies.
- Significant influence on technical strategy, engineering standards, and organizational growth.
- Exposure to diverse client engagements and complex AI challenges across industries.
- Collaborative and highly skilled engineering culture focused on innovation and continuous improvement.
- Professional development opportunities, including exposure to emerging AI technologies and leadership responsibilities.
- Career advancement potential within a rapidly growing AI focused organization.
- Dynamic and entrepreneurial environment that encourages ownership, creativity, and impact.
- Competitive compensation package based on experience and expertise.
- Opportunity to work on transformative projects shaping the future of AI driven solutions.
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