Agentic AI Engineer

About the job :

Are you ready to shape the future of AI? As an Agentic AI Engineer at Techolution, you'll be at the forefront of innovation, fine-tuning cutting-edge LLMs like Gemini, LLaMA, and GPT.

Dive deep into the world of Generative AI , vector databases, and deep learning frameworks to create groundbreaking solutions.

Your expertise in Python, LLMs, and Agentic Workflows will drive the development of next-generation AI applications.

Join our dynamic team and turn visionary concepts into reality, while collaborating with cross-functional experts to integrate Gen AI solutions that redefine industries.

Designation : Agentic AI Engineer

Location : Hyderabad, India

Employment Type : Full Time

Key Responsibilities :

- Develop and implement cutting-edge generative AI solutions, leveraging LLMs and RAG techniques to solve complex business challenges and drive innovation.

- Design and optimize AI agents that automate tasks, enhance decision-making processes, and improve overall operational efficiency across various departments.

- Spearhead the implementation of vector databases to efficiently store and retrieve high-dimensional data, enabling faster and more accurate AI model performance.

- Lead the fine-tuning of pre-trained models, adapting them to specific use cases and improving their performance on domain-specific tasks.

- Collaborate with cross-functional teams to integrate generative AI capabilities into existing products and services, enhancing user experiences and creating new value propositions.

- Conduct thorough research on emerging deep learning techniques and architectures, staying at the forefront of AI advancements and applying them to real-world problems.

- Develop and maintain scalable AI pipelines that streamline data processing, model training, and deployment processes, ensuring efficient and reliable AI operations.

- Demonstrate strong ownership by taking responsibility for end-to-end AI project lifecycles, from concept to production deployment and ongoing optimization.

- Cultivate a seeker mindset by continuously exploring new AI methodologies and tools, actively contributing to the team's knowledge base and fostering a culture of innovation.

- Showcase passion towards work by eagerly tackling complex AI challenges, pushing boundaries, and consistently delivering high-quality solutions that exceed expectations.

Foundational Skills

- Large Language Models (LLMs) : Proven expertise in working with state-of-the-art LLMs, including fine-tuning, prompt engineering, and integration into production systems.

- Retrieval-Augmented Generation (RAG) : Demonstrated ability to implement RAG techniques to enhance AI model performance and accuracy in information retrieval tasks.

- Fine-tuning : Proficiency in adapting pre-trained models to specific domains and tasks, optimizing their performance for targeted applications.

- Vector Databases : Hands-on experience with vector databases for efficient storage and retrieval of high-dimensional data in AI applications.

- Deep Learning : Strong foundation in deep learning principles and architectures, with the ability to apply them to solve complex real-world problems.

- Generative AI : Comprehensive understanding of generative AI techniques and their practical applications in various industries.

- AI Agents : Experience in designing and implementing AI agents that can autonomously perform tasks and make decisions.

Exposure to google agentspace.

- Ownership : Demonstrated ability to take full responsibility for projects, driving them from conception to successful completion.

- Seeker Mindset : Proactive approach to learning and exploring new technologies, constantly seeking ways to improve and innovate.

- Passionate Towards Work : Genuine enthusiasm for AI and its potential to transform industries, reflected in a commitment to excellence and continuous improvement.

- Extremely Ambitious : Drive to push boundaries and set high goals, both personally and for the team, to achieve groundbreaking results in AI development.

- Ability to Comprehend : Exceptional skill in quickly grasping complex AI concepts and translating them into practical, impactful solutions.

Advanced Skills

- Computer Vision : Familiarity with computer vision techniques and frameworks, enabling the integration of visual data processing capabilities into AI solutions.

- Cloud Deployment : Experience with deploying AI models and applications on cloud platforms, ensuring scalability and reliability in production environments.

- Leadership Experience : Prior experience in leading small teams or mentoring junior engineers, demonstrating potential for future growth into leadership roles within the AI department.