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AI Engineer

Innoventes Technologies

3 - 8 years

5 - 10 Lacs

bengaluru

Posted:1 day ago| Platform:

Apply

Skills Required

performance tuning usage machine learning deployment natural language processing management python

Work Mode

Work from Office

Job Type

Full Time

Job Description

AI Engineer

Experience Required: 3+ years (with minimum 1 year in AI/ML/LLM projects)
Location: Bangalore
Employment Type: Full-time

About the Role

We are looking for an AI Engineer with a solid foundation in software development (Python) and some hands-on experience in AI/ML projects, especially Large Language Models (LLMs) . You will work with our team to build, fine-tune, and deploy AI-powered applications that solve real-world business problems.

Required Skills & Experience:

Hands-on experience
with at least one Agentic AI framework:
Langchain
,
LangGraph
, or
CrewAI
.
Strong understanding of
agent-based architectures
and autonomous workflows.
Experience in
Natural Language Processing (NLP)
and working with LLMs (OpenAI, Anthropic, etc.).
Proficient in
Prompt Engineering
for various use cases (conversational agents, tools, retrieval, etc.).
Working knowledge of
Retrieval-Augmented Generation (RAG)
techniques and vector stores (e.g., FAISS, Pinecone).
Ability to
integrate external APIs
, work with databases, and manage dynamic knowledge sources.
Experience with tools and platforms like
OpenAI
,
LangSmith
,
Weaviate
, or
ChromaDB
is a plus.
Familiarity with
text-to-image models
such as
DALL E 3
, Midjourney.
Solid understanding of
machine learning principles
, including feedback loops and performance tuning.

Key Responsibilities:

Build, deploy, and maintain AI agents using frameworks such as
Langchain
,
LangGraph
, or
CrewAI
.
Develop and optimize prompts for LLMs using
prompt engineering best practices
.
Design and implement
Retrieval-Augmented Generation (RAG)
pipelines to enhance the contextual capabilities of agents.
Collaborate with
APIs
,
databases
, and external tools to enable agents to perform complex tasks autonomously.
Engage in
real-time user interactions
, enabling agents to provide intelligent, context-aware responses.
Implement feedback and
reinforcement learning
mechanisms to iteratively improve agent performance.
Retrieve and process data from multiple internal and external sources for analysis and decision-making.
Utilize
NLP techniques
to understand and generate human-like language.
Create and fine-tune
text-to-image prompts
using models like
DALL E 3
to support multimodal tasks.

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AI Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

Required Skills & Experience:

Hands-on experience

Langchain

LangGraph

CrewAI

agent-based architectures

Natural Language Processing (NLP)

Prompt Engineering

Retrieval-Augmented Generation (RAG)

integrate external APIs

OpenAI

LangSmith

Weaviate

ChromaDB

text-to-image models

DALL E 3

machine learning principles

Key Responsibilities:

Langchain

LangGraph

CrewAI

prompt engineering best practices

Retrieval-Augmented Generation (RAG)

APIs

databases

real-time user interactions

reinforcement learning

NLP techniques

text-to-image prompts

DALL E 3

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