- Position: GENAI ENGINEERS
- Location: Anycity
- Experience: 10 - 12 Years
- Employment Type: contract

Key Skills:
- Strong programming skills in Python
- Experience with Machine Learning and Deep Learning
- Knowledge of Natural Language Processing (NLP)
- Experience with LLM frameworks and AI tools
- Experience with REST APIs and cloud platforms
- Understanding of vector databases and embeddings
- Experience with frameworks like LangChain or LlamaIndex
- Knowledge of AI model deployment on cloud platforms (AWS / Azure / GCP)
- Experience with Docker, Kubernetes, and MLOps tools
- Understanding of prompt engineering techniques

Responsibilities:
- Develop and implement Generative AI solutions using modern AI frameworks
- Build applications using Large Language Models (LLMs)
- Integrate AI models into applications through APIs and microservices
- Fine-tune and optimize AI models for performance and accuracy
- Work with data scientists and software engineers to deploy AI solutions
- Design prompt engineering strategies for AI systems




- Monitor and improve AI model performance and reliability
- Ensure AI solutions follow security and ethical guidelines

Preferred Education:
- Bachelors degree in Computer Science, IT, Engineering , or related discipline

Why This Role:
- Opportunity to directly impact business growth by identifying and hiring the right IT talent for critical projects.
- Hands-on exposure to diverse technologies and stakeholders, strengthening recruitment and domain expertise.

Company Name: Pozent
- Pozent is a rapidly growing company focused on delivering next-generation digital, data, and AI-driven solutions to global clients and achieve measurable business outcomes.
- Our team is geared towards innovation and thrives where talent meets chance.
- We work on Generative AI, Cloud, Data Engineering, Automation, and Full-Stack Development, delivering impactful projects

Why join us:
- Exciting Global Projects and career growth: Work directly with t

📌 Gen AI Engineer (Hyderabad)
🏢 Pozent
📍 Hyderabad