Gen AI Engineer / Lead

Job highlights

• Expertise in Python, LLMs, Gen AI frameworks (LangChain, LlamaIndex, OpenAI), ML frameworks (PyTorch/TensorFlow), and vector databases
• Design and develop generative AI and LLM solutions, implement RAG pipelines and AI agents, integrate AI models with enterprise apps, lead technical design and mentor team, ensure scalability and security

We are looking for a Senior Generative AI Engineer with strong hands-on experience in AI/ML and LLM technologies. The role requires excellent communication, leadership skills, and deep coding expertise to build and deploy enterprise Gen AI solutions.

Key Responsibilities

• Design and develop Generative AI and LLM-based solutions
• Implement RAG pipelines, AI agents, prompt engineering, and knowledge systems
• Integrate Gen AI models with enterprise applications and workflows
• Lead technical design and mentor junior team members
• Work with stakeholders to identify and implement AI use cases
• Ensure scalability, security, and performance of AI solutions

Mandatory Skills

Technical:

• Strong coding in Python (mandatory)
• Experience with LLMs, NLP, Gen AI frameworks (LangChain, LlamaIndex, OpenAI, Azure OpenAI, Hugging Face)
• Experience with ML frameworks (PyTorch / TensorFlow)
• Knowledge of Vector Databases (Pinecone, FAISS, Weaviate, Chroma)
• Cloud experience (Azure / AWS / GCP)
• API development and integration experience

Soft Skills:

• Excellent communication skills
• Strong leadership and mentoring capabilities

Preferred Skills:

• Experience with enterprise AI deployments
• Knowledge of Docker, Kubernetes, CI/CD pipelines
• Experience in data engineering or ML pipelines