Key Responsibilities

- Design, build, and fine-tune machine learning, deep learning, and Generative AI models for real-world business applications.
- Develop Agentic AI systems using frameworks such as ADK, LangGraph, or equivalent for orchestration and reasoning.
- Build solutions leveraging LLMs, RAG pipelines, embeddings, and vector databases for enhanced AI capabilities.
- Implement AI systems for processing text, structured/unstructured data, and conversational interfaces.
- Apply core NLP techniques including classification, summarization, entity recognition, and semantic search to enhance data understanding.
- Develop scalable algorithms for search, retrieval, and real-time inference to optimize AI performance.
- Integrate AI microservices into enterprise systems using APIs, event-driven architectures, and cloud services like Azure ML, AWS SageMaker, and GCP Vertex AI.

Overview

- The AI Engineer Manager plays a crucial role in leading and managing a team of AI engineers within the consulting sector.
- This position is based in Bangalore, Gurgaon, and Hyderabad, offering a hybrid work model of three days in the office.
- The role is aimed at developing innovative AI models and solutions, with a strong focus on Generative AI applications.
- As a Level 4 position, it requires 6-9 years of experience, making it ideal for professionals seeking to leverage their expertise in AI to solve complex business problems.
- The manager will be responsible for overseeing the design, development, and deployment of AI solutions that directly impact the company's consulting services.
- This role involves not only technical proficiency but also leadership skills to guide a team in applying core NLP techniques, building scalable algorithms, and integrating AI microservices into enterprise systems.
- The ideal candidate will have a strong understanding of AI concepts,



be proficient in Python and SQL, and have hands-on experience with AI frameworks.
- They will also be tasked with ensuring that all AI solutions are optimized for performance, cost, and security, while adhering to Responsible AI practices.
- The AI Engineer Manager will work closely with solution architects and business teams to translate complex requirements into production-ready AI solutions.
- They will champion the development of scalable AI systems that handle text, structured and unstructured data, and conversational use cases.
- With responsibilities that include model training, prompt optimization, and data management, this role is pivotal in driving AI innovation and operational efficiency within the organization.
- The position offers an opportunity to be at the forefront of AI technology, leveraging cutting-edge tools and frameworks to solve real-world business challenges.
- Candidates will be expected to have a solid foundation in Generative AI, cloud platforms, and the deployment of AI workloads.
- This role is perfect for those who are passionate about AI and eager to lead a team in a dynamic and fast-paced consulting environment.

Requirements

- Proficiency in Python, SQL, and machine learning frameworks such as TensorFlow and PyTorch.
- Robust understanding of Generative AI concepts, including transformers, embeddings, and fine-tuning.
- Experience with Agentic AI frameworks like ADK, LangGraph, and AutoGen for advanced AI model development.
- Familiarity with cloud platforms (AWS, Azure, GCP) for deploying AI solutions.
- Knowledge of prompt engineering, vector databases (Pinecone, Weaviate), and retrieval-augmented generation (RAG) techniques.
- Hands-on experience with cloud-native AI deployments, ensuring efficient and scalable AI solutions.
- Understanding of API-driven design, microservices, and event-driven architectures for seamless AI integration.

📌 Senior AI Engineer (Hyderabad)
🏢 Net Connect
📍 Hyderabad