AI Engineer

NITYO; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

NITYO is seeking experts in LLMs, GenAI, and prompt engineering to design and optimize AI systems. You will implement Hybrid Search, re-ranking, and Agentic AI within scalable data pipelines and microservice architectures.

Proficiency in Python, SQL, REST APIs, ML/NLP concepts, and experience with Snowflake ecosystems and foundation models is preferred.

Qualifications

• Hands-on experience with LLMs, GenAI, prompt engineering and LLM benchmarking.
• Experience designing Advanced RAG architectures (Hybrid Search, re-ranking, Agentic AI).
• Strong proficiency in Python, SQL, data pipelines, REST APIs and microservices.
• Understanding of ML and NLP concepts; familiarity with Git, CI/CD and MLOps.

Skills

LLMs

GenAI

Prompt engineering

Optimization

Evaluation

LLM benchmarking

RAG architectures

Hybrid search

Re-ranking

Agentic AI

Python

SQL

Data pipelines

REST APIs

Microservices

ML concepts

NLP concepts

Git

CI/CD

MLOps

Snowflake

Snowflake Cortex

AI functions

Graph databases

GraphQL

OpenAI

Azure OpenAI

Anthropic

Llama

Mistral

REST APIs

Tools

Snowflake

Snowflake Cortex

OpenAI

Azure OpenAI

Anthropic

Llama

Mistral

Git

CI/CD

MLOps

Job description

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.