Movate
Website:
movate.com
Job details:
Job Title: AI Engineer
Experience: 3–5 Years
Department: Engineering Employment
Type: Full-Time
About the Role
We are looking for a highly skilled Agentic AI Engineer to design, build, and deploy intelligent AI agents capable of autonomous decision-making and task execution. The ideal candidate will have hands-on experience working with multiple Large Language Models (LLMs), agent frameworks, vector databases, and cloud platforms, along with strong DevOps and production deployment awareness. You will be responsible for building AI-driven systems using agentic architectures, integrating LLMs with tools, APIs, and data sources to create scalable and reliable enterprise AI applications.
Key Responsibilities
• Design and implement agentic AI architectures for autonomous task execution and decision-making.
• Develop and deploy LLM-powered applications and AI agents for real-world business use cases.
• Integrate multiple LLM providers (OpenAI, Anthropic, open-source models, etc.) into AI systems.
• Build and manage Retrieval-Augmented Generation (RAG) pipelines using vector databases.
• Develop solutions using AI frameworks such as Lang Chain, LlamaIndex, Autogen, Crew AI, or similar.
• Work with multiple vector databases for semantic search and memory management.
• Design multi-agent systems that collaborate to solve complex tasks.
• Deploy AI solutions across multi-cloud environments (AWS, Azure, GCP).
• Implement CI/CD pipelines, containerization, and infrastructure automation for AI workloads.
• Monitor and optimize AI model performance, cost, latency, and reliability.
• Collaborate with data engineers, ML engineers, and product teams to deliver AI solutions.
• Ensure security, governance, and responsible AI practices.
Required Skills
• Strong experience with Python and AI/ML development.
• Hands-on experience with multiple LLMs (OpenAI, Anthropic, Cohere, Mistral, Llama, etc.).
• Experience building agent-based AI systems.
• Experience with AI orchestration frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, or similar).
• Hands-on experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS.
• Experience implementing RAG architecture.
• Knowledge of prompt engineering and LLM optimization techniques.
• Experience deploying solutions on AWS / Azure / GCP.
• Familiarity with Docker, Kubernetes, CI/CD pipelines, and DevOps practices.
• Strong understanding of API integration and microservices architectures.
Good to Have
• Experience with fine-tuning or parameter-efficient tuning of LLMs.
• Knowledge of LLM Ops / ML Ops tools.
• Experience with evaluation frameworks for LLMs.
• Familiarity with knowledge graphs and semantic search.
• Experience building AI copilots, chatbots, or autonomous agents.
• Understanding of data privacy, model governance, and responsible AI practices.
Education
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Strong problem-solving mindset with the ability to design scalable AI systems.
• Experience working in fast-paced AI product environments.
• Ability to stay updated with rapidly evolving LLM and AI agent ecosystems.
• Excellent collaboration and communication skills.
Click on Apply to know more.