AI Engineer

AI Engineer (Python | Generative AI | Machine Learning)

📍 Location: On-site (No Work From Home / Hybrid) 💼 Experience: 4–8 Years (Relevant Experience Mandatory)

💼 Employment Type: Full-Time

Important ❌ Do not apply if you are looking for a WFH or Hybrid opportunity. ❌ Do not apply if you have less than 3 years of hands-on AI Engineer experience.

About the Role We are looking for a passionate and experienced

AI Engineer to design, build, and deploy intelligent AI-powered solutions using Python, Large Language Models (LLMs), Machine Learning, and modern AI frameworks. The ideal candidate should have hands-on experience in developing scalable AI applications, integrating LLMs into products, and building production-ready AI systems. You will collaborate with cross-functional teams to create innovative AI solutions that automate workflows, enhance user experiences, and solve complex business challenges.

Key Responsibilities

• Design, develop, and maintain AI-powered applications using

Python .

• Build and deploy

Generative AI solutions using Large Language Models (OpenAI, Claude, Gemini, Llama, Mistral, etc.).

• Develop AI Agents and autonomous workflows using frameworks such as

LangChain, LangGraph, CrewAI, AutoGen, or LlamaIndex .

• Design and implement

Retrieval-Augmented Generation (RAG) pipelines using vector databases.

• Fine-tune, optimize, and evaluate machine learning and deep learning models for production environments.
• Build scalable REST APIs and backend services using

Django or

FastAPI .

• Develop and maintain ETL/ELT pipelines for structured and unstructured data.
• Perform data preprocessing, feature engineering, model training, and performance optimization.
• Implement MLOps best practices, including model versioning, deployment, monitoring, retraining, and CI/CD pipelines.
• Work with cloud platforms such a2s AWS, Azure, or Google Cloud for AI model deployment.
• Integrate AI solutions into existing products and enterprise applications.
• Optimize AI inference performance, latency, and cost.
• Collaborate with Product, Engineering, and Business teams to translate business requirements into AI-driven solutions.
• Stay updated with the latest advancements in AI, LLMs, Machine Learning, and emerging technologies.

Required Skills

• 4–7 years of experience in

Python development .

• Strong expertise in

Machine Learning ,

Deep Learning , and

Generative AI .

• Hands-on experience with

OpenAI APIs ,

Claude ,

Gemini ,

Llama ,

Mistral , or similar LLMs.

• Experience building AI Agents using

LangChain ,

LangGraph ,

CrewAI ,

AutoGen , or

LlamaIndex .

• Strong understanding of

RAG architecture , embeddings, prompt engineering, semantic search, and vector databases.

• Experience with vector databases such as

Pinecone, ChromaDB, Weaviate, Milvus, or FAISS .

• Proficiency in AI/ML frameworks including

TensorFlow ,

PyTorch , and

Scikit-learn .

• Experience with backend frameworks such as

Django ,

FastAPI , or

Flask .

• Good understanding of

REST APIs , microservices, and API integrations.

• Experience with MLOps tools such as

MLflow ,

Kubeflow ,

Airflow ,

Docker ,

Kubernetes , and CI/CD pipelines.

• Strong SQL skills with experience in relational and NoSQL databases.
• Familiarity with

Spark ,

Databricks , or distributed computing frameworks is a plus.

• Experience deploying AI solutions on AWS, Azure, or Google Cloud.
• Strong analytical thinking, debugging, and problem-solving abilities.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience building enterprise AI assistants or AI copilots.
• Knowledge of multimodal AI (text, image, audio, and video models).
• Experience with fine-tuning LLMs using LoRA, PEFT, or Hugging Face Transformers.
• Familiarity with prompt optimization, AI evaluation frameworks, and AI safety practices.
• Experience with GraphRAG or Knowledge Graphs is an added advantage.
• Contributions to open-source AI projects or participation in AI hackathons are a plus.

Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.

Why Join Us?

• Work on cutting-edge AI and Generative AI products.
• Build enterprise-grade AI applications with modern technologies.
• Collaborate with a highly skilled and innovative engineering team.
• Opportunity to solve real-world business problems using AI.
• Continuous learning and exposure to the latest advancements in Artificial Intelligence.