Agentic AI Developer

3 days ago


Noida, Uttar Pradesh, India Zenesys Solutions Inc. Full time US$ 1,20,000 - US$ 2,00,000 per year

About the Role

We are on the hunt for a forward-thinking
Agentic AI Developer
with strong Python expertise and hands-on experience in building AI-driven solutions. You will design and implement intelligent systems leveraging
LLMs, AI agents, and orchestration frameworks
to create real-world, high-impact applications. This role is perfect for someone who thrives at the intersection of
software engineering and cutting-edge AI innovation
.

Key Responsibilities

  • Architect, develop, and optimize
    Python-based AI/ML applications
    with a focus on
    agentic AI
    systems.
  • Integrate and orchestrate AI models (LLMs, NLP pipelines, computer vision, etc.) using tools like
    LangChain, N8n
    , or similar frameworks.
  • Collaborate with
    data scientists, ML engineers, and product teams
    to deliver scalable AI-powered solutions.
  • Build robust
    data pipelines
    , integrate APIs, and manage AI workflows end-to-end.
  • Conduct code reviews, debugging, and performance optimization for AI workloads.
  • Stay ahead of the curve by researching and adopting emerging AI trends, tools, and frameworks.

Required Skills & Qualifications

  • 3–5 years
    of professional Python development experience.
  • 1+ years
    of hands-on experience with
    AI/ML-based projects
    .
  • Proven expertise in integrating or implementing
    AI agents
    and working with orchestration frameworks.
  • Proficiency in
    machine learning libraries
    (TensorFlow, PyTorch, Scikit-learn, etc.).
  • Solid knowledge of
    NLP, computer vision, or generative AI
    concepts.
  • Experience in
    REST API development
    , Git/version control, and deployment practices.
  • Bachelor's degree in
    Computer Science, Engineering, or related field
    .

Nice to Have

  • Experience with
    cloud platforms
    (AWS, GCP, Azure) for AI model hosting and scaling.
  • Understanding of
    AI model lifecycle
    (training, fine-tuning, deployment, and monitoring).
  • Contributions to
    open-source AI projects
    or a strong
    GitHub portfolio
    .

Interested candidates must send their resumes to



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