Lead/Principal Artificial Intelligence Engineer - Generative AI/Python

Job Title : Lead/Principal AI Engineer - Agentic AI & Generative Systems

Experience : 9 - 14 Years

Location : Pune (On-site/Hybrid)

Job Overview :

We are seeking an exceptionally talented and experienced Lead/Principal AI Engineer with 9-14 years of dedicated expertise in both Generative AI and the burgeoning domain of Agentic AI, with a strong foundation in Python.

Based in Pune, you will be a pivotal technical leader, responsible for shaping our strategy, driving the research, design, development, and deployment of sophisticated, autonomous AI systems.

This role demands a visionary who can architect and build intelligent agents capable of complex reasoning, planning, tool utilization, and autonomous problem-solving, leveraging the latest advancements in large language models, diffusion models, and multi-agent paradigms.

Key Responsibilities :

As a key leader in our Agentic AI and Generative Systems initiatives, you will :

- Lead the end-to-end design, development, and implementation of highly intelligent and autonomous AI agents.

- This includes defining agent architectures, designing planning and reasoning modules, and building robust decision-making frameworks.

- Leverage advanced Generative AI models (e.g., Large Language Models like GPT, Llama; Diffusion Models) as core components within AI agents for enhanced reasoning, natural language understanding, generation of responses, and code execution.

- Design and implement comprehensive tool-use capabilities for AI agents, enabling them to interact with external APIs, databases, proprietary systems, and third-party services to achieve complex goals.

- Implement & Optimize Agentic Orchestration : Drive the adoption and effective implementation of Agentic AI orchestration frameworks (e.g., LangChain, CrewAI, AutoGen, Semantic Kernel), customizing and extending them to meet specific project requirements.

- Design and develop collaborative multi-agent systems where individual AI agents work together autonomously to solve distributed problems or achieve collective intelligence.

- Stay at the forefront of the latest research, advancements, and industry trends in Agentic AI, Reinforcement Learning, Generative AI, and autonomous systems.

- Conduct in-depth feasibility studies and lead proof-of-concept projects for novel applications.

- Design and implement cutting-edge MLOps pipelines specifically tailored for the training, deployment, monitoring, and continuous improvement of complex AI agents and generative models in production environments.

- Act as a central technical leader, providing expert guidance, code review feedback, and mentorship to a team of AI/ML engineers.

- Lead critical technical discussions, architectural decisions, and champion best practices in Python development, clean code, testing, documentation, and MLOps.

- Collaborate intensely with product managers, data scientists, software engineers, and business stakeholders.

- Understand intricate requirements, define precise project scopes, and ensure the delivery of impactful, autonomous AI solutions that align with strategic business goals.

- Effectively communicate complex technical concepts to diverse audiences.

- Ensure the responsible and ethical development of all AI agents and generative models.

- Proactively address potential biases, fairness, transparency, safety concerns, and implement robust governance mechanisms.

Required Skills & Qualifications :

Education : Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, Robotics, or a related quantitative field.

Experience : 9 to 14 years of extensive, hands-on experience in Machine Learning and Deep Learning, with a demonstrable track record and deep specialization in both Generative AI and Agentic AI systems.

Core Programming : Exceptional proficiency in Python for AI development, including advanced concepts and best practices.

- Proven experience in designing, building, and deploying autonomous AI agents.

- In-depth understanding of AI agent architectures (e.g., Sense-Plan-Act, Goal-Oriented Agents).

- Hands-on experience with Agentic AI orchestration frameworks such as LangChain, CrewAI, AutoGen, or Semantic Kernel.

- Experience implementing tool-use capabilities (function calling) for LLMs within agents.

- Knowledge of memory management and context window optimization in agents.

- Experience with building and orchestrating multi-agent systems.

- Strong practical expertise in various Generative AI models : Large Language Models (LLMs), Transformers, their applications (text generation, summarization, code generation), and fine-tuning techniques (LoRA, QLoRA).

- Familiarity with other generative models like Diffusion Models (Stable Diffusion) is a strong plus.

- Extensive experience with major AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.

- Proven experience with cloud-based AI/ML platforms (AWS SageMaker, Google Cloud AI Platform, Azure Machine Learning) for training, deployment, and management.

- Solid understanding and practical experience with MLOps principles and tools ( MLflow, Kubeflow, Docker, Kubernetes) for continuous integration, delivery, and monitoring of complex AI systems in production.

- Strong understanding of data structures, algorithms, distributed systems, and robust software engineering principles.

- Excellent problem-solving, analytical, and critical thinking skills.

- Proven ability to lead complex technical initiatives, effectively mentor team members, and drive projects to successful completion in a dynamic environment.

- Exceptional communication and presentation skills, capable of conveying complex technical information clearly and persuasively to diverse technical and non-technical stakeholders.

Preferred Skills (Brownie Points) :

- Ph.D. in AI/ML, Robotics, or a closely related field.

- Experience with reinforcement learning for training autonomous agents.

- Familiarity with knowledge graphs and semantic web technologies for enhanced agent reasoning.

- Experience in integrating AI agents into complex enterprise architectures or real-time systems.

- Contributions to open-source AI projects (especially in agentic AI), published research papers, or patents in the Generative AI or Agentic AI domain.

- Experience with ethical AI frameworks and bias detection/mitigation techniques in AI agents.

- Knowledge of probabilistic programming or causal inference for agent decision-making.

What We Offer :

- An unparalleled opportunity to work on cutting-edge Agentic AI and Generative AI projects that are set to redefine industries and have a significant real-world impact.

- A collaborative and intellectually stimulating work environment that actively encourages deep research, rapid experimentation, and continuous learning.

- A highly competitive salary and a comprehensive benefits package.

- Robust emphasis on professional development, including access to cutting-edge courses, industry conferences, and research opportunities.

- Flexible work options (on-site/hybrid) from our vibrant Pune development center.

- A culture that highly values technical excellence, creative problem-solving, and strong teamwork