AI Engineer

3 weeks ago

Chennai Guindy, India Jobted IN C2 Full time

Overview: We are looking for a passionate and skilled AI Engineer to join our AI & Cloud Innovation team. In this role, you will work on real-world GenAI applications, build intelligent automation solutions, and integrate large language models with modern cloud-native platforms. Responsibilities: Key Responsibilities - API Development: Build robust APIs and microservices using FastAPI to integrate AI models into scalable applications. - Data Management: Work with vector databases to store and retrieve structured and unstructured data for GenAI workflows. - Prompt Engineering: Design and optimize prompts using techniques like Chain of Thought (CoT) and advanced prompting strategies to improve model outputs. - Agent Development: Develop autonomous and function-calling agents using frameworks like LangChain, LlamaIndex, or custom logic. - Collaboration: Work closely with cross-functional teams including UI, DevOps, and product stakeholders to define goals and deliver solutions. - Documentation: Maintain comprehensive documentation for agents, prompts, APIs, workflows, and architecture to support both technical and non-technical audiences. - Frameworks & Tools: FastAPI, LangChain, LlamaIndex, GitHub Actions, Terraform. - Generative AI Techniques: Retrieval-Augmented Generation (RAG), Function Calling Agents, Prompt Engineering. - Cloud Platforms: AWS, Google Cloud Platform (Vertex AI, GKE), Microsoft Azure. Requirements: Must-Have Skills - 1–3 years of experience in backend development using Python, with a strong foundation in building RESTful APIs using FastAPI. - Solid understanding of Generative AI concepts, including prompt engineering, RAG, and agent workflows (e.g., using LangChain or LlamaIndex). - Hands-on experience working with vector databases (e.g., Milvus, Pinecone, or Vertex AI Vector Search). - Proficient in building LLM function-calling agents and integrating them into production-ready pipelines. - Experience deploying and managing applications on cloud platforms such as GCP, AWS, or Azure. - Familiarity with CI/CD pipelines, and version control (Git/GitHub) - Strong problem-solving mindset and ability to work in fast-paced, iterative development environments. - Excellent written and verbal communication skills for cross-functional collaboration and documentation. Nice-to-Have Skills - Knowledge of multi-agent orchestration, tools like CrewAI, AutoGen, LangGraph, or task-driven LLM workflows. - Exposure to frontend integration with React-based UIs or familiarity with building full-stack features. - Prior experience in enterprise-grade automation tools or telecom-specific AI solutions. - Understanding of data governance, security best practices, and access control (e.g., RBAC in AI workflows).

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