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Lead / Principal Artificial Intelligence Engineer - Generative AI / Python

Lead / Principal Artificial Intelligence Engineer - Generative AI / Python

HerSecondInningsPune
30+ days ago
Job description

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

    • ref : hirist.tech)

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