AI Engineer (Generative AI & Machine Learning)

Location: Pune, India (Work From Office – Baner)

Experience: 2 – 3 Years

Employment Type: Full-Time

About the Role

We are looking for a highly motivated and innovative AI Engineer to join our growing Artificial Intelligence team. This role sits at the intersection of data science and software engineering, focusing on building, deploying, and scaling modern AI systems.

You will work hands-on with cutting-edge technologies such as Retrieval-Augmented Generation (RAG), Agentic Frameworks, and On-Premise Large Language Models (LLMs) to develop robust, enterprise-grade applications.

If you enjoy solving complex problems, working in an Agile environment, and building impactful AI solutions, this role is for you.

Key Responsibilities

AI/ML Development & Deployment

Develop, test, and deploy scalable machine learning models and AI systems into production following modern engineering practices.

Generative AI Implementation

Design and build AI solutions using RAG pipelines, on-premise LLMs, and agent-based frameworks.

Prompt Engineering & Innovation

Develop and refine prompting strategies; collaborate with researchers and engineers to improve GenAI performance and outputs.

System Reliability & Optimization

Monitor production models, troubleshoot issues, and continuously improve performance, accuracy, and efficiency.

Standards & Best Practices

Contribute to defining AI development standards, governance, and security practices within the organization.

Agile Collaboration

Actively participate in Agile/Scrum processes across the full Software Development Life Cycle (SDLC).

Cross-functional Communication

Clearly communicate technical concepts to internal teams and external stakeholders.

Required Qualifications & Skills

Education

Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field.

Experience

2–3 years of hands-on experience in software development, machine learning, or AI engineering.

Core Fundamentals

Strong understanding of Data Structures and Algorithms (DSA).
Basic knowledge of Computer Vision is a plus.

Generative AI Expertise

Practical experience with:
RAG pipelines
On-premise LLMs (e.g., Llama, Mistral)
Agentic frameworks (e.g., LangChain, AutoGen, CrewAI)

DevOps & Cloud

Familiarity with Docker and Kubernetes
Exposure to cloud platforms such as AWS, GCP, or Azure

Soft Skills

Strong problem-solving mindset
Excellent verbal and written communication skills
Ability to work collaboratively in a fast-paced environment

Bonus Skills (Good to Have)

Experience working on AI solutions in the Healthcare domain
Exposure to real-world production AI systems or deployments

Work Environment

Work from Office (WFO) – Baner, Pune
Collaborative, fast-paced, and innovation-driven culture

AI Engineer (Generative AI & Machine Learning) - Immediate Joiner