AI Engineer

Key Responsibilities
Design, develop, and deploy agent-based AI solutions using LLMs (e.g., multi-agent workflows, autonomous decision systems)
Build and optimize applications using LLMs (OpenAI, Claude, Gemini, etc.)
Develop AI-powered automation solutions for enterprise use cases
Integrate AI models with enterprise systems via APIs and microservices
Work on prompt engineering, fine-tuning, and model evaluation
Implement RAG (Retrieval-Augmented Generation) architectures
Collaborate with cross-functional teams to translate business problems into AI-driven solutions
Ensure scalability, performance, and security of AI solutions
Stay updated with latest advancements in AI, GenAI, and agentic frameworks

Required Skills
Strong hands-on experience in Python scripting
Experience with LLM frameworks such as:
LangChain / LlamaIndex
AutoGen / CrewAI / similar agentic frameworks
Knowledge of Generative AI concepts (RAG, embeddings, vector databases)
Experience with vector databases (FAISS, Pinecone, Weaviate, etc.)
Familiarity with REST APIs, microservices, and cloud integration
Understanding of prompt engineering and LLM optimization techniques
Experience with Git, CI/CD pipelines

Preferred Skills
Experience with cloud platforms (AWS, Azure, GCP)
Exposure to AI governance, security, and responsible AI
Knowledge of data engineering / pipelines
Experience in fine-tuning models or working with open-source LLMs
Familiarity with Docker / Kubernetes