Posted:4 days ago|
Platform:
On-site
ROLES & RESPONSIBILITIES
Key Responsibilities:
Developer Engagement & Advocacy
Promote the use of AI/ML frameworks, APIs, and platforms to software developers through blogs, webinars, workshops, and conferences.
Build and maintain relationships with functional developer communities, open-source contributors, and tech influencers.
Create sample applications, demos, and tutorials showcasing AI capabilities in real-world software scenarios.
Provide guidance when selecting technical solutions
Provide guidance in when selecting use cases that drive value
Be a champion and partner with our IQ program to foster AI talent within our team
Play a critical part in providing guidance to leadership team to move AI initiatives from POC to production
Technical Enablement
Educate internal engineering teams on integrating AI into software products (e.g., recommendation engines, chatbots, predictive analytics).
Provide hands-on support and guidance for developers using AI tools, including model deployment, prompt engineering, and performance optimization.
Develop technical documentation, SDKs, and onboarding materials for AI-powered software solutions.
Thought Leadership & Content Creation
Publish articles, videos, and podcasts on AI trends, use cases, and best practices in software development.
Represent the company at industry events, meetups, and hackathons.
Contribute to discussions on ethical AI, responsible development, and open-source collaboration.
Strategic Collaboration
Work with product managers, data scientists, Architects and software engineers to align AI initiatives with product roadmaps.
Gather feedback from Architects, developers and users to inform AI product improvements.
Stay ahead of emerging AI technologies and assess their relevance to software development workflows.
QUALIFICATIONS:
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or related field.
5+ years of experience in software development with hands-on exposure to AI/ML technologies.
Strong understanding of AI frameworks (e.g., TensorFlow, PyTorch), APIs (e.g., OpenAI, Hugging Face), and cloud platforms (e.g., Azure, AWS, GCP).
Excellent communication and presentation skills, with a passion for teaching and storytelling.
Experience in developer relations, technical evangelism, or community building is a plus.
Required Skills:
Familiarity with LLMs, generative AI, and prompt engineering.
Experience with CI/CD, MLOps, and deploying AI models in production.
Ability to create engaging technical content .
Experience of software development lifecycles and agile methodologies.
EXPERIENCE
SKILLS
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