Tellecaller

Job Overview

We are seeking an agile AI Engineer with a strong focus on both AI engineering and SaaS product development in a 0-1

product environment. This role is perfect for a candidate skilled in building and iterating quickly, embracing a fail fast

approach to bring innovative AI solutions to market rapidly. You will be responsible for designing, developing, and

deploying SaaS products using advanced Large Language Models (LLMs) such as Meta, Azure OpenAI, Claude, and Mistral,

while ensuring secure, scalable, and high-performance architecture. Your ability to adapt, iterate, and deliver in fast-

paced environments is critical.

Responsibilities

 Lead the design, development, and deployment of SaaS products leveraging LLMs, including platforms

like Meta, Azure OpenAI, Claude, and Mistral.

 Support product lifecycle, from conceptualization to deployment, ensuring seamless integration of AI

models with business requirements and user needs.

 Build secure, scalable, and efficient SaaS products that embody robust data management and comply

with security and governance standards.

 Collaborate closely with product management, and other stakeholders to align AI-driven SaaS solutions

with business strategies and customer expectations.

 Fine-tune AI models using custom instructions to tailor them to specific use cases and optimize

performance through techniques like quantization and model tuning.

 Architect AI deployment strategies using cloud-agnostic platforms (AWS, Azure, Google Cloud), ensuring

cost optimization while maintaining performance and scalability.

 Apply retrieval-augmented generation (RAG) techniques to build AI models that provide contextually

accurate and relevant outputs.

 Build the integration of APIs and third-party services into the SaaS ecosystem, ensuring robust and

flexible product architecture.

 Monitor product performance post-launch, iterating and improving models and infrastructure to

enhance user experience and scalability.

 Stay current with AI advancements, SaaS development trends, and cloud technology to apply innovative

solutions in product development.

Qualifications

 Bachelor’s degree or equivalent in Information Systems, Computer Science, or related fields.

 6+ years of experience in product development, with at least 2 years focused on AI-based SaaS

products.

 Demonstrated experience in leading the development of SaaS products, from ideation to deployment,

with a focus on AI-driven features.

 Hands-on experience with LLMs (Meta, Azure OpenAI, Claude, Mistral) and SaaS platforms.

 Proven ability to build secure, scalable, and compliant SaaS solutions, integrating AI with cloud-based

services (AWS, Azure, Google Cloud).

 Strong experience with RAG model techniques and fine-tuning AI models for business-specific needs.

 Proficiency in AI engineering, including machine learning algorithms, deep learning architectures (e.g.,

CNNs, RNNs, Transformers), and integrating models into SaaS environments.

 Solid understanding of SaaS product lifecycle management, including customer-focused design,

product-market fit, and post-launch optimization.

 Excellent communication and collaboration skills, with the ability to work cross-functionally and drive

SaaS product success.

 Knowledge of cost-optimized AI deployment and cloud infrastructure, focusing on scalability and

performance.

Key Responsibilities:

Kubernetes Management:

Deploy, configure, and maintain Kubernetes clusters on AKS, EKS, GKE, and OKE.

Troubleshoot and resolve issues related to cluster performance and availability.

Database Migration:

 Plan and execute database migration strategies across multicloud environments, ensuring data integrity and minimal downtime.

Collaborate with database teams to optimize data flow and management.

Coding and Development:

 Develop, test, and optimize code with a focus on enhancing algorithms and data structures for system performance.

Implement best coding practices and contribute to code reviews.

Cross-Platform Integration:

  Facilitate seamless integration of services across different cloud providers to enhance interoperability.

Collaborate with development teams to ensure consistent application performance across environments.

Performance Optimization:

  Monitor system performance metrics, identify bottlenecks, and implement effective solutions to optimize resource utilization.

Conduct regular performance assessments and provide recommendations for improvements.

Experience:

  Minimum of 2+ years of experience in cloud computing, with a strong focus on Kubernetes management across multiple platforms.

Technical Skills:

  Proficient in cloud services and infrastructure, including networking and security considerations.

Strong programming skills in languages such as Python, Go, or Java, with a solid understanding of algorithms and data structures.

Problem-Solving:

 Excellent analytical and troubleshooting skills with a proactive approach to identifying and resolving issues.

Communication:

 Strong verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams.

Preferred Skills:

- Familiarity with CI/CD tools and practices.

- Experience with container orchestration and management tools.

- Knowledge of microservices architecture and design patterns.

Responsibilities

• Design, code, test and manage various applications
• Collaborate with engineering team and product team to establish best products
• Follow outlined standards of quality related to code and systems
• Develop automated tests and conduct performance tuning

Qualifications

• Bachelor's degree in Computer Science or relevant field
• 2+ years of experience working with .NET or relevant experiences
• Languages & Frameworks: C#, ASP.NET MVC, ASP.NET Core, Web API, ADO.NET
• Frontend Technologies: HTML5, CSS3, JavaScript, jQuery
• Database: Microsoft SQL Server (T-SQL, Stored Procedures, Views, Triggers, Joins, Jobs), MS Access
• Tools & Platforms: Visual Studio,
• Methodologies: Agile, Scrum, Jira

Job Description:-

• React.js with Redux and Typescript 
• Experience working with Git, JIRA
• End to end responsibility from development to production.
• Work with product and design teams to translate designs and wireframes into high-quality products.
• Good written and verbal communication skills
• Eager to learn new things in technology