Job highlights

- Experience with RAG architectures,Graph Databases,and LLMOps practices
- Bachelor s or Master s degree in Computer Science,AI,Data Science,or related fields. Why Join Us: .
- Experience Required : 3+ Years
- Experience
- 3+ years of experience in AI / ML .
- Hands-on experience with tools like Hugging Face,OpenAI API,and Google AI tools

Position : Senior AI Engineer Experience Required : 3+ Years

Company : Academian (EdTech Domain)

Work Location: Pune

Role Overview

We are seeking an experienced Senior AI Engineer to spearhead the development and deployment of cutting-edge AI solutions. The ideal candidate will possess a strong foundation in AI algorithms, hands-on expertise with machine learning and deep learning frameworks, and a forward-thinking approach to leveraging emerging AI technologies like AGENTIC AI, RAG, Graph Databases, and open-source LLMs. This role also involves guiding the team to deliver scalable, efficient, and impactful AI products aligned with the EdTech domain.

Key Responsibilities

- AI Model Development : Design, train, and deploy AI models for diverse use cases, including:
- Computer Vision : Image recognition, object detection, segmentation etc.
- Natural Language Processing (NLP) : Text classification, summarization, question-answering systems etc.
- Generative AI : Fine-tuning and deploying open-source large language models (LLMs) and Private Models.
- RAG (Retrieval-Augmented Generation) : Implement AI systems combining retrieval with generative models.
- Optimize AI models for performance, scalability, and accuracy using core algorithms (regression, KNN, SVM, etc.).
- Open-Source LLM Development :




- Develop and fine-tune open-source LLMs to cater to domain-specific needs.
- Deploy open-source LLMs effectively in production environments, ensuring scalability and low latency.
- Explore and implement open-source tools and frameworks like Hugging Face, LangChain, and Transformer libraries.
- Integration & Architecture :
- Integrate AI solutions with Vector/Graph db for advanced data relationships and queries.
- Implement and manage MLOps / LLMOps pipelines for efficient deployment, monitoring, and scaling of AI models.
- Leadership :
- Mentor and guide junior engineers, fostering innovation and skill development.
- Collaborate with cross-functional teams, including product management, data engineering, and software development, to align AI strategies with business goals.
- Infrastructure :
- Leverage cloud AI platforms (AWS SageMaker, Google Vertex AI, Azure AI) for scalable solutions.
- Adopt open-source frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face) for experimentation and development.
- Best Practices :
- Establish robust practices for coding, testing, and documenting AI solutions.
- Stay at the forefront of AI research and emerging trends like AGENTIC AI, RAG, and open-source LLM development.

Requirements

Experience





- 3+ years of experience in AI/ML
- Proven expertise in designing and deploying AI solutions in production environments.

Technical Skills

- Solid proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
- Hands-on experience with tools like Hugging Face, OpenAI API, and Google AI tools.
- In-depth understanding of core ML algorithms (regression, KNN, clustering, etc.) and deep learning models .
- Familiarity with open-source LLM development and deployment
- Experience with RAG architectures , Graph Databases , and LLMOps practices.
- Expertise in CI/CD pipelines, containerization (Docker, Kubernetes), and cloud AI platforms (AWS, Google Cloud, Azure).

Domain Knowledge

- Familiarity with EdTech standards (LTI, xAPI, QTI) and adaptive learning systems is a strong plus.

Soft Skills

- Exceptional leadership and team mentoring abilities.
- Strong problem-solving skills and excellent communication for technical and non-technical stakeholders.

Education

- Bachelor s or Master s degree in Computer Science, AI, Data Science, or related fields.

Why Join Us:

- Opportunity to lead AI initiatives that shape the future of education technology.
- Work in a collaborative, mission-driven environment with a focus on innovation.
- Engage with impactful projects and cutting-edge AI technologies.
- Competitive salary, benefits, and opportunities for professional growth.

Our Offerings for Employee Benefits Health Insurance for Employee+Spouse+Two Children+Parents

GPA - For Employee

Hybrid working

Compliance - PF and Gratuity

📌 Senior AI Engineer (Pune)
🏢 Academian India
📍 Pune