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Steady Rabbit
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Agentic AI Consultant (AI Solutions Consultant / Autonomous Agents)

Agentic AI Consultant (AI Solutions Consultant / Autonomous Agents)

Steady Rabbit

3 - 7 years

0 - 3 Lacs

ghaziabad

Posted:23 hours ago| Platform:

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Skills Required

generative ai artificial intelligence natural language processing machine learning deep learning crewai langchain openai api rest apis api integration cloud infrastructure sql huggingface prompt engineering large language model anthropic claude python kubernetes

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Title

Agentic AI Consultant (AI Solutions Consultant / Autonomous Agents)

Exp:

Career Objective

Agentic AI Consultant

Key Responsibilities

Work with clients to identify business opportunities for applying
agentic AI systems
.
Design, develop, and deploy
AI-driven autonomous agents
capable of reasoning, planning, and executing tasks.
Implement
multi-agent orchestration, tool integrations, and workflow automation
.
Deliver feasibility studies, proofs-of-concept, and pilot projects.
Collaborate with engineering, product, and data science teams to scale AI deployments.
Stay updated on
AI frameworks and agentic architectures
(e.g., LangChain, AutoGPT, CrewAI, Hugging Face).
Ensure AI solutions meet
data privacy, compliance, and enterprise security standards
.
Provide consulting, documentation, and training for client adoption of agentic AI solutions.

Required Skills & Qualifications

Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field.
Strong understanding of
LLMs (OpenAI, Anthropic, LLaMA, etc.)
and
agentic AI concepts
.
Hands-on experience with frameworks such as
LangChain, AutoGPT, CrewAI, Hugging Face
or similar.
Proficiency in
Python
, API integrations, and vector databases (FAISS, Pinecone, Weaviate).
Familiarity with
retrieval-augmented generation (RAG)
pipelines.
Strong analytical, consulting, and communication skills.

Preferred Skills

Prior experience in
enterprise consulting or solution design
.
Exposure to
MLOps pipelines, monitoring, and deployment
.
Knowledge of
cloud platforms
(AWS, GCP, Azure).
Experience with
autonomous multi-agent systems
in production environments.

Experience

3–7 years
of experience in AI/ML, Data Science, or related roles.
At least
1 year of hands-on work
with agentic AI, LLM-based solutions, or autonomous agents.

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