Jobgether
AI Engineering Lead
TLDR
Lead a high-performing AI engineering team to design and deploy production-ready AI solutions, shaping standards, architecture, and multi-project delivery.
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.
- 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.
- 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.
Requirements
Benefits
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Benefits
Equity Compensation
Significant influence on technical strategy, engineering standards, and organizational growth.
Health Insurance
Competitive compensation package based on experience and expertise.
Learning Budget
Opportunity to work on transformative projects shaping the future of AI-driven solutions.
Remote-Friendly
Fully remote work environment offering flexibility and work-life balance.
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
Engineering Lead