AI Engineer

micro1; Pune District, New Delhi; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

A tech innovation company is seeking an AI Engineer to develop advanced AI and machine learning solutions, focusing on Generative AI and Agentic AI systems. The role involves designing robust models and collaborating with cross-functional teams. Candidates should have 4-6 years of experience in AI/ML engineering and proficiency in Python and related AI frameworks. This position offers a hybrid work environment in Pune, Maharashtra.

Qualifications

• 4-6 years of hands-on experience in AI/ML engineering.
• Advanced proficiency in Python and libraries.
• Deep understanding of Generative AI and practical applications.

Responsibilities

• Design and deploy robust AI/ML models for various tasks.
• Develop REST APIs for AI/ML models using FastAPI or Flask.
• Apply Generative AI techniques to deliver business solutions.

Skills

Python

AI/ML Engineering

Generative AI

NLP

REST APIs

Docker

Kubernetes

Tools

PyTorch

TensorFlow

NumPy

Pandas

FastAPI

Flask

Job description

Job Title

AI Engineer

Job Type

Full-time

Location

Hybrid - Pune, Maharashtra, India | New Delhi, India

About Us

Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest-growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market.

Job Summary

Join our customer’s team as an AI Engineer and play a pivotal role in developing advanced AI and machine learning solutions with a strong focus on Generative AI and Agentic AI systems. As a core contributor, you will leverage your expertise to build scalable API-driven models and innovate with state-of-the-art AI frameworks. This is a unique opportunity for experienced professionals to shape next-generation AI solutions within a collaborative and growth-oriented environment.

Key Responsibilities

• Design, build, and deploy robust AI/ML models for classification, prediction, recommendation, and optimization tasks.
• Develop and deploy REST APIs for AI/ML models using FastAPI or Flask, ensuring high-performance and secure integrations.
• Engineer asynchronous, scalable, and production-ready APIs for seamless real-world deployment.
• Apply Generative AI techniques—including LLMs, transformers, and diffusion models—to deliver transformative business solutions.
• Architect and orchestrate Agentic AI systems that demonstrate autonomous reasoning, planning, and execution.
• Fine-tune and customize Large Language Models (LLMs) for targeted, domain-specific applications.
• Collaborate closely with cross-functional teams to integrate AI solutions into enterprise workflows and continuously advance AI capabilities.

Required Skills and Qualifications

• 4–6 years of proven, hands-on experience in AI/ML engineering.
• Advanced proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, PyTorch, and TensorFlow.
• Deep understanding of Generative AI (LLMs—GPT, LLaMA, Claude, diffusion models, etc.) and their practical applications.
• Practical experience with Agentic AI frameworks (LangChain, LlamaIndex, AutoGPT, CrewAI, or similar tools).
• Strong background in NLP, embeddings, and vector databases like Pinecone, Weaviate, FAISS, or Milvus.
• Expertise in designing, deploying, and securing REST APIs with FastAPI/Flask, including API authentication and production-grade monitoring.
• Demonstrated experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure) for efficient model deployment and scaling.

Preferred Qualifications

• Proficiency in prompt engineering, RAG (Retrieval Augmented Generation), and advanced model fine-tuning.
• Strong written and verbal communication skills, essential for high-impact collaboration and documentation.
• Experience in researching, prototyping, and productionizing innovative AI techniques to solve real-world business challenges.