Generative AI Engineer

• End-to-End Development: Build GenAI solutions from POC through production deployment, handling all backend development responsibilities
• Client Engagement: Participate in technical discussions with clients, gather requirements, and help translate business visions into feasible technical solutions through presentations and consultations
• Backend Development: Design and implement production-grade microservices architectures for GenAI applications using Python
• Cloud Implementation: Deploy and manage GenAI solutions across GCP, Azure, and AWS platforms, leveraging cloud-native AI services
• Cross-functional Collaboration: Work closely with project managers, full-stack developers, and Power Automate teams to deliver complete solutions
• System Evaluation: Assess and optimize production-grade GenAI systems for performance, scalability, and reliability

• Strategic Guidance: Advise companies and startups on advancing their GenAI solutions to production readiness
• Technical Expertise: Provide specialized consulting on prompt engineering, multi-agent architectures, and GenAI evaluation methodologies
• Innovation Leadership: Stay at the cutting edge of GenAI research and apply emerging techniques to practical business solutions

• Technology Scouting: Continuously explore and evaluate new GenAI models, frameworks, and techniques as they emerge
• Best Practices Development: Establish and refine methodologies for GenAI solution development and deployment

• Programming: Advanced proficiency in Python for backend development and AI applications
• GenAI Mastery: Deep understanding of large language models (LLMs) and experience with major model APIs (OpenAI, Anthropic, Google, etc.)
• Multi-Agent Systems: Expertise in designing and implementing GenAI multi-agent architectures
• Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques
• Cloud Platforms:
• Required: Hands-on experience with AI services in at least one major cloud platform (GCP, Azure, or AWS)
• Advantage: Experience across multiple cloud platforms (AI Search, Vertex AI, SageMaker, etc.)
• Development Frameworks: Experience with GenAI frameworks like LangChain and cloud-based retrieval services
• Software Engineering: Strong background in microservices architecture, API development, and production system design
• AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques
• Containerization (Advantage): Experience with Docker and Kubernetes for deployment and orchestration
• OCR Technologies (Advantage): Experience with Optical Character Recognition systems and document processing
• Data Pipelines (Advantage): Experience building and maintaining data processing pipelines

• Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience
• Production Systems: Proven track record of deploying and maintaining AI solutions in production environments
• Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions

• Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field
• Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio)

• Problem-Solving: Excellent analytical and creative problem-solving abilities
• Communication: Strong technical communication skills for both technical and non-technical audiences
• Collaboration: Proven ability to work effectively in cross-functional teams
• Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies
• Consulting Mindset: Ability to understand client needs and provide strategic technical guidance

• Opportunity to work on cutting-edge GenAI projects across diverse industries
• Dual role combining hands-on development with strategic consulting
• Access to latest AI technologies and cloud platforms
• Collaborative environment with cross-functional teams
• Professional development in a rapidly evolving field

• This position is open to all qualified candidates. We support diversity and view it as a strength that enhances our ability to develop, learn, and innovate. We advocate for inclusion and empower people of all backgrounds to contribute their unique perspectives.

Mploy