AI Developer

Kenovate Solutions · Web Development Services · Python · JavaScript · SQL · C# · ETL/ELT · 10 days ago
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Salary
≈ $20k – $48k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Junior · 2+ years exp

First seen by Alion on Oct 24, 2026.

Overview
Company
Impact
Profile match

Kenovate Solutions

Kenovate is a technology company collaborating with enterprises of all sizes, helping them achieve high performance by providing websites, portals, SEO, and automation solutions, with customized functionalities.
kenovate.com · Gurgaon · Delhi · Bengaluru · Hyderabad · Web Development Services · Est. 2003
Tech stack of Kenovate Solutions

Requirements:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Engineering, or a related field.
  • 2-3 years of professional experience in AI development, with at least one end-to-end deployed LLM or AI product.
  • Strong programming background in Python (preferred) or C#.
  • Experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, Hugging Face, etc. ).
  • Solid understanding of RAG architecture and vector database design.
  • Experience with RESTful API development and integration.
  • Proficiency in SQL (T-SQL, PostgreSQL, MySQL) and general database design.
  • Familiarity with LangChain, LlamaIndex, or similar AI orchestration frameworks.
  • Working knowledge of cloud platforms (Azure, AWS, or GCP) for hosting AI workloads.
  • Understanding of Docker, Kubernetes, or similar container orchestration tools.
  • Experience integrating AI with web front ends (React, Next.js, or Streamlit preferred).
  • Knowledge of embedding models, prompt engineering, and token optimization.
  • Exposure to data transformation pipelines and ETL tools.
  • AI/ML certification from a recognized institution (Microsoft, Google, Coursera, etc. ).
  • Experience working with Git, CI/CD pipelines, and DevOps environments.

Skills

AI, Anthropic, C#, Docker, Hugging Face, Kubernetes, LLM, LangChain, LlamaIndex, MySQL, OpenAI, PostgreSQL, Python, RAG, SQL

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