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Amplework Software
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AI Engineer

AI Engineer

Amplework Software

3 - 8 years

9 - 13 Lacs

jaipur

Posted:20 hours ago| Platform:

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Skills Required

orchestration data science enterprise applications gcp digital transformation software solutions aws monitoring python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a

hands-on AI Engineer

with

23 years of experience

delivering production-grade AI solutions. This is a

strategic position

where youll work on advanced AI initiatives including

LLMs, RAG pipelines, and multi-agent workflows

to build intelligent, scalable systems.

You will be responsible for

building, fine-tuning, and deploying models

, integrating them into production environments, and collaborating with cross-functional teams to deliver high-impact solutions for global clients.

Key Responsibilities

Design & Build:
Develop and deploy AI/ML solutions for real-world business problems.
LLM Engineering:
Fine-tune and evaluate LLMs (OpenAI GPT, LLaMA, Mistral) for domain-specific tasks.
RAG & Multi-Agent Systems:
Build and optimize retrieval-augmented generation pipelines, vector search workflows, and multi-agent orchestration.
API Development:
Build scalable inference APIs with FastAPI/Flask, focusing on concurrency and performance.
Deployment & MLOps:
Collaborate with DevOps to containerize models (Docker) and deploy them on AWS/GCP/Azure.
Model Monitoring:
Track performance in production, iterate to improve accuracy, reliability, and cost efficiency.
Continuous Learning:
Stay updated with AI trends and propose innovative solutions for client projects.

Education:

Bachelors degree in Computer Science, Engineering, AI, or a related field.

Experience:

23 years of professional experience
in AI/ML engineering, data science, or related software development roles.
At least one end-to-end AI project
where you worked across multiple teams and led the technical delivery from initial design through deployment and monitoring.

Technical Proficiency:

Strong foundation in
Python
and ML/AI fundamentals (transformers, embeddings, NLP).
Hands-on experience with at least one GenAI/LLM framework (
OpenAI API, Hugging Face, LangChain, LlamaIndex
).
Experience integrating AI models into production systems and building REST APIs.
Familiarity with
containerization
(Docker) and cloud platforms (AWS/GCP/Azure).

Core Attributes:

Strong
problem-solving ability
and a passion for innovation.
Clear
communication skills
can explain technical decisions to teammates and stakeholders.
Ownership mindset
delivers quality solutions with minimal supervision.
Curiosity to explore and adopt
new AI tools and frameworks
proactively.

Who Should Not Apply

Prefer strictly rule-based programming without flexibility for experimentation.
Are uncomfortable with fast-paced learning, ambiguity, and solving open-ended problems.
Lack interest in communicating solutions clearly to non-technical stakeholders.
Always seeking help from others to finish the job.

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