AI Engineer

2 days ago

Chennai, Tamil Nadu, India Prodapt Full time ₹ 6,00,000 - ₹ 18,00,000 per year
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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