About the Role : Key Responsibilities :

- Lead the development and deployment of machine learning models, deep learning frameworks, and AI-driven solutions across the organization.
- Work closely with stakeholders to define data-driven strategies and drive innovation using AI and machine learning.
- Design and implement robust data pipelines and workflows in collaboration with data engineers and software developers.
- Develop and deploy APIs using web frameworks for seamless integration of AI/ML models into production environments.
- Mentor and lead a team of data scientists and engineers, providing technical guidance and fostering professional growth.
- Leverage LangChain or LlamaIndex to enhance model integration, document management, and data retrieval capabilities.
- Lead projects in Generative AI technologies, such as Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI agents, to create innovative AI-driven products and services.
- Stay updated on the latest AI/ML trends, ensuring that cutting-edge methodologies are adopted across projects.
- Collaborate with cross-functional teams to translate business problems into technical solutions and communicate findings effectively to both technical and non-technical stakeholders.

Required Skills and Qualifications :

- Experience : 6-7 years of experience in data science and AI/ML, with a strong foundation in machine learning, deep learning,



generative AI and data engineering.
- Generative AI Expertise : Minimum 2+ years of experience with generative AI. Hands-on experience with LLMs, RAG, and AI agents.
- AI Agents & Frameworks: Hands-on experience with AI agent frameworks/libraries (e.g., AutoGen, CrewAI, OpenAI's Function Calling, Semantic Kernel, etc.).
- Programming : Solid proficiency in Python, with experience using TensorFlow, PyTorch, and Scikit-learn.
- LangChain & LlamaIndex: Experience integrating LLMs with structured and unstructured data.
- SQL & NoSQL Databases : Hands-on experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, etc.).
- API Development : Experience in developing APIs using Flask, FastAPI, or Django.
- Cloud & MLOps: Experience working with AWS, GCP, Azure and MLOps best practices.
- Excellent communication, leadership, and project management skills.
- Strong problem-solving ability with a focus on delivering scalable, impactful solutions.

Preferred Skills :

- Chain of Thought Reasoning : Familiarity with CoT prompting and reasoning techniques.
- Ontology : Understanding of ontologies for knowledge representation in AI systems.
- Data Engineering : Experience with ETL pipelines and data engineering workflows.
- Familiarity with big data tools like Spark, Hadoop, or distributed computing.

📌 Sr. Genai Engineer (Pune)
🏢 Apptware
📍 Pune