AI Engineer

3 weeks ago

Thiruvananthapuram, India techvantage Full time

We are looking for an
AI

Engineer 3+ years
of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment—fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies.

Roles and Responsibilities:

  • Build and deploy AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs).
  • Design and implement Agentic AI systems—autonomous agents capable of planning and executing multi-step tasks.
  • Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products.
  • Write clean, scalable code and build robust APIs and services to support AI model deployment.
  • Own feature delivery end-to-end—from research and experimentation to deployment and monitoring.
  • Stay current with emerging AI frameworks, tools, and best practices and apply them in product development.
  • Contribute to a high-performing team culture and mentor junior team members as needed.

Skill Set:

  • 3–6 years of overall software development experience, with 3+ years specifically in AI/ML engineering.
  • Strong proficiency in Python, with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face).
  • Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio).
  • Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel).
  • Experience building and deploying ML models to production environments.
  • Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts.
  • Comfortable working in a startup-like environment—self-motivated, adaptable, and willing to take ownership.
  • Solid understanding of API development, version control, and modern DevOps/MLOps practices.

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