Agentic AI Engineer

About the Role:

Agentic AI Engineer

Key Responsibilities:

• Design and develop

  agentic AI systems

  that leverage

  GenAI

  and

  data-driven insights

  to autonomously plan, reason, and act.
• Build, fine-tune, and integrate

  Generative AI models

  (LLMs, diffusion models, etc.) into multi-agent workflows and intelligent applications.
• Perform end-to-end

  data science workflows

  , including data wrangling, exploratory analysis, modeling, and deployment.
• Deploy AI agents in real-world, often unstructured environments-ranging from enterprise to field and edge systems.
• Collaborate with product, research, and engineering teams, as well as external partners and clients.
• Travel globally for deployments, client onboarding, technical demos, and cross-functional collaborations.
• Stay ahead of trends in

  GenAI, agent-based modeling, reinforcement learning, and large-scale data systems

  .

Required Qualifications:

• Bachelors or Masters in Computer Science, AI, Data Science, or related field (PhD preferred).
• 4+ years of hands-on experience in:

• Agentic AI

  systems (e.g., LLM agents, RL agents, multi-agent systems)

• Generative AI

  , including LLMs (GPT, Claude, LLaMA) and/or multimodal models

• Data science

  , including machine learning pipelines, model evaluation, and statistical analysis
• Advanced proficiency in

  Python

  and experience with key libraries/frameworks:LangChain, AutoGen, Transformers (Hugging Face), scikit-learn, PyTorch, TensorFlow, Pandas, etc.
• Strong understanding of AI/ML model deployment, optimization, and monitoring.
• Proven experience delivering AI products or solutions in production environments.

• Willingness and ability to travel globally

  , including to customer or partner sites.

Preferred Qualifications:

• Experience integrating

  structured and unstructured data

  into autonomous agent systems.
• Familiarity with

  LLM orchestration

  ,

  RAG pipelines

  ,

  tool-using agents

  , or

  cognitive architectures

  .
• Exposure to cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Vertex AI, etc.).
• Prior work in

  defense

  ,

  enterprise AI

  ,

  robotics

  ,

  digital twins

  , or

  AI consulting

  .
• Strong presentation, communication, and stakeholder engagement skills.

Why Join Us:

• Work at the cutting edge of

  autonomous AI

  ,

  Generative AI

  , and

  data science

  .
• Be part of high-impact, global projects with real-world applications.
• Competitive salary, travel perks, and opportunities to work with elite teams across domains.
• Learn and grow alongside pioneers in the agentic and generative AI space.