Gen AI Engineer

Kreate Technologies LLP; Bengaluru; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

Kreate Technologies LLP is seeking an AI/GenAI Engineer to design, develop and deploy cutting-edge AI solutions for diverse industries. The role involves building agentic AI systems, implementing vector databases, and ensuring robust security for LLMs, while collaborating with clients and cross-functional teams.

Candidates should have 3+ years of engineering experience in AI solutions, with strong Python/R skills and hands-on experience in DL, NLP and CV.

Qualifications

• Bachelor's or Master's in CS/AI/ML or related field.
• At least 3 years of experience delivering AI solutions.
• Proficiency in AI/GenAI technologies, deep learning, NLP and CV.
• Experience with vector databases and similarity search algorithms.
• Experience with security measures for LLMs, including data encryption and access controls.

Responsibilities

• Design and develop AI/GenAI models and solutions.
• Develop and integrate agentic AI systems for autonomous decision-making.
• Implement vector databases for efficient similarity search.
• Ensure security measures for LLMs incl. encryption and audits.
• Collaborate with clients to tailor AI solutions and deliver results.
• Fine-tune AI/GenAI models for various use cases.
• Test and validate models for performance and bias.
• Deploy models in production with seamless integration.
• Share knowledge and best practices with the team.
• Collaborate with data science, engineering and product teams.

Skills

GenAI technologies

Deep learning

NLP

Computer vision

Vector databases

Security for LLMs

Python

R

Problem solving

Communication

Education

Bachelor's/Master's in CS/AI/ML

Tools

TensorFlow

PyTorch

LangChain

Vellum

Faiss

Annoy

Hnswlib

Docker

Kubernetes

ReactJS

Job description

We are seeking a AI/GenAI Engineer to join our team in delivering cutting-edge AI solutions to clients. The successful candidate will be responsible for designing, developing, and deploying AI/GenAI models and solutions for various industries. This role requires strong technical expertise, excellent problem-solving skills, and the ability to work effectively with clients and internal teams.

Key Responsibilities:

1. Design and Development: Develop and deploy AI/GenAI models and solutions using various technologies and frameworks (e.g., TensorFlow, PyTorch, LangChain, Vellum etc) on non-cloud infrastructure.
2. Agentic AI: Develop and integrate agentic AI systems, enabling autonomous decision-making and action-taking capabilities in AI solutions.
3. Vector Database: Implement vector databases (e.g., Faiss, Annoy, Hnswlib) for efficient similarity search and retrieval in AI applications.
4. Security of LLMs: Implement robust security measures to prevent data poisoning, model inversion attacks, and membership inference attacks, including data encryption, access controls, model watermarking, and regular security audits.
5. Client Engagement: Collaborate with clients to understand their AI requirements, develop tailored solutions, and deliver high-quality results.
6. Model Development: Fine-tune AI/GenAI models for specific use cases, such as natural language processing, computer vision, or predictive analytics.
7. Testing and Validation: Ensure thorough testing and validation of AI/GenAI models, including performance evaluation, bias detection, and explainability.
8. Deployment and Maintenance: Deploy AI/GenAI models in production environments, ensuring seamless integration with existing systems and infrastructure.
9. Knowledge Sharing: Share knowledge and expertise with the team, contributing to the development of best practices and staying up-to-date with industry trends.
10. Collaboration: Work closely with cross-functional teams, including data science, engineering, and product management, to ensure successful project delivery.

Requirements:

1. Education: Bachelor/Master's in Computer Science, AI, ML, or related fields.
2. Experience: 3+ years of experience in engineering solutions, with a track record of delivering AI solutions.
3. Technical Skills:

• Proficiency in AI/GenAI technologies, including deep learning frameworks, NLP, and computer vision.
• Experience with vector databases and similarity search algorithms.
• Experience with security measures for LLMs, including data encryption, access controls, and model watermarking.

1. Programming Skills: Strong programming skills in languages like Python or R
2. Communication: Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal teams.
3. Problem-Solving: Strong problem-solving skills, with the ability to analyse complex problems and develop creative solutions.
4. Nice to have: Experience with containerization (Docker) and orchestration (Kubernetes)
5. Nice to have: Experience with ReactJS for rapid prototyping