Lead Gen AI engineer

About the Role:

Lead Gen AI engineer

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:

  7-8 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:

  Strong proficiency in

  Python

  , with experience using

  TensorFlow, PyTorch, and Scikit-learn

  .

• LangChain & LlamaIndex:

  Experience integrating

  LLMs with structured and unstructured data

  .

• Knowledge Graphs:

  Expertise in

  building and utilizing Knowledge Graphs

  for AI-driven applications.

• 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:

• Experience with Computer Vision applications.

• 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.



Why Join Us?

• Be at the forefront of AI innovation, working on cutting-edge projects.
• Collaborate with a talented team in a dynamic and innovative environment.
• Competitive salary, benefits, and leadership opportunities.