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AI Engineer

NITYOBengaluru, Karnataka, IndiaPosted 4 weeks ago• Updated 3 weeks ago
Contract
Senior level
On-site

Salary

500000–1100000 INR (period unspecified) (amount units unconfirmed)

Experience

7-11 Years

VHire page views

8

VHire applicants

0

Activity recorded on VHire only. Page views are not unique visitors; applicants from employer sites and ATS systems are not included.

LLMs, Generative AI, Agentic AI, AI Agents, Prompt Engineering, Prompt Optimization, LLM                 Evaluation, LLM Benchmarking.

  1. Strong hands-on experience with LLMs, GenAI , prompt engineering, optimization & evaluation & LLM benchmarking.
  2. Should have hands-on extensive experience designing and implementing Advanced RAG architectures(Hybrid Search and re-ranking, Agentic AI.
  3. Strong proficiency in Python, SQL databases and data processing pipelines, REST APIs and microservice-based architectures
  4. Strong understanding of Machine Learning and Natural Language Processing concepts.
  5. Familiarity with Git, CI/CD, testing frameworks, and MLOps practices
  6. Experience working with OpenAI, Azure OpenAI, Anthropic, Llama, Mistral, or similar foundation models.
  7. Experience with Snowflake architecture,Snowflake Cortex, AI functions, data processing pipelines, warehouse sizing, and performance tuning will be an added advantage.

              Knowledge of Graph databases/Graph QL is an added advantage.

LLMs, Generative AI, Agentic AI, AI Agents, Prompt Engineering, Prompt Optimization, LLM                 Evaluation, LLM Benchmarking.

  1. Strong hands-on experience with LLMs, GenAI , prompt engineering, optimization & evaluation & LLM benchmarking.
  2. Should have hands-on extensive experience designing and implementing Advanced RAG architectures(Hybrid Search and re-ranking, Agentic AI.
  3. Strong proficiency in Python, SQL databases and data processing pipelines, REST APIs and microservice-based architectures
  4. Strong understanding of Machine Learning and Natural Language Processing concepts.
  5. Familiarity with Git, CI/CD, testing frameworks, and MLOps practices
  6. Experience working with OpenAI, Azure OpenAI, Anthropic, Llama, Mistral, or similar foundation models.
  7. Experience with Snowflake architecture,Snowflake Cortex, AI functions, data processing pipelines, warehouse sizing, and performance tuning will be an added advantage.

              Knowledge of Graph databases/Graph QL is an added advantage.

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Required Skills
AI engineer
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