Artificial Intelligence Engineer

3 weeks ago

Thiruvananthapuram, India Velodata Global Pvt Ltd Full time

Senior Software Engineer – AI

Experience- 3–5 years

Location-Trivandrum

Salary-13 Lpa

  • Work Mode
    : Onsite at Trivandrum
  • Interview Process
    : Final round will be face-to-face
  • Availability
    : Immediate joiners or candidates with up to 20 days' notice are preferred

Mandatory Skills: Python,Tensorflow,Pytorch,Transformers

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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