GEN AI Engineer
Tetrahed
Full-time
On-site
Pune, Maharashtra, India
Engineering Jobs
Position Summary
The AI Engineer with GenAI expertise is responsible for developing advanced technical solutions and integrating cutting-edge generative AI technologies. This role requires a foundational understanding of modern technical and cloud-native practices, AI, DevOps, and machine learning technologies, particularly in generative models. You will support a wide range of customers through the “Ideation to MVP” journey, demonstrating enthusiasm for learning and contributing to project success.
Mandatory Skills & Experience
- A passionate developer with 3+ years of experience in Java, Python, and Kubernetes, comfortable working as part of a paired/balanced team.
- Foundational experience in software development, with exposure to AI/ML technologies.
- Proficiency in GenAI frameworks: Experienced in using GenAI frameworks and libraries such as OpenAI API.
- Prompt engineering: Experience in designing and optimizing prompts for various AI models to achieve desired outputs and improve model performance.
- Experience developing solutions that leverage cloud-native technologies—featuring container-based, microservices-based approaches; based on applying 12-factor principles to application engineering.
- Strong verbal and written communication skills (English).
- Positive and solution-oriented mindset.
- Experience delivering Agile and Scrum projects in a Jira-based project management environment.
Desired Skills & Experience
- Understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models.
- AI ethics and bias mitigation: Knowledgeable about ethical considerations in AI and experienced in implementing strategies to mitigate bias in AI models.
- Knowledgeable about vector databases, LLMs, and integrating with such models.
- Proficient with Kubernetes and other cloud-native technologies, including experience with commercial Kubernetes distributions (e.g., Red Hat OpenShift, VMware Tanzu, Google Anthos, Azure AKS, Amazon EKS, Google GKE).
- Understanding of core practices including DevOps, SRE, Agile, Scrum, Domain-Driven Design, and familiarity with the CNCF open-source community.
- Recognized with cloud and technical certifications, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat.
Verifiable Certification
- At least one recognized cloud professional / developer certification (AWS/Google/Microsoft)
Key Responsibilities
- Develop solutions leveraging GenAI technologies, integrating advanced AI capabilities into cloud-native architectures to enhance system functionality and scalability.
- Lead the design and implementation of GenAI-driven applications, ensuring seamless integration with microservices and container-based environments.
- Create solutions that fully leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds.
- Contribute to HCL thought leadership across the Cloud Native domain with an expert understanding of open-source technologies (e.g., Kubernetes/CNCF) and partner technologies.
- Collaborate on joint technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware.
Service Delivery
- Engineer innovative GenAI solutions from ideation to MVP, ensuring high performance and reliability within cloud-native frameworks.
- Optimize AI models for deployment in cloud environments, balancing efficiency and effectiveness to meet client requirements and industry standards.
- Assess existing complex solutions and recommend appropriate technical treatments to transform applications with cloud-native/12-factor characteristics.
- Refactor existing solutions to implement
- a microservices-based architecture.
Client Relationships
- Provide expert guidance to clients on incorporating GenAI and machine learning into their cloud-native systems, ensuring best practices and strategic alignment with business goals.
- Conduct workshops and briefings to educate clients on the benefits and applications of GenAI, establishing strong, trust-based relationships.
- Perform a trusted advisor role, contributing to technical projects (PoCs and MVPs) with a strong focus on technical excellence and on-time delivery.