AI Engineer (Gen AI / LLMs) | Python, LangChain, AWS | Kolkata | Up to 30 LPA - Immediate joiners ONLY

Hiring for: A niche data, AI and analytics consulting company helping mid-large global organizations in their transformation journeys.

Role: AI Engineer

Positions: 1

Location(s): Kolkata

Type: On-site / Permanent

Salary: Up to INR 30 LPA

Notice Period: 15 days

Description: We are seeking a skilled AI Engineer with 3+ years of experience to design, develop, and deploy machine learning and artificial intelligence solutions. The ideal candidate will have hands-on experience with ML models, data pipelines, and deploying AI systems into production environments.

Responsibilities: • Design, build, and deploy machine learning and deep learning models for realworld applications. • Develop and optimize data pipelines for training and inference. • Work with large datasets for data preprocessing, feature engineering, and model training. • Implement NLP, computer vision, or recommendation systems depending on project requirements. • Integrate AI models with production systems using APIs and microservices. • Monitor model performance and retrain models when necessary. • Collaborate with data scientists, software engineers, and product teams. • Ensure models are scalable, eEicient, and production-ready. • Stay updated with the latest advancements in AI/ML technologies.

Required Skills: • Strong programming skills in Python. • Experience with machine learning frameworks such as: o TensorFlow o PyTorch o Scikit-learn • Knowledge of deep learning architectures (CNN, RNN, Transformers). • Experience with data processing tools such as Pandas, NumPy, and Spark. • Familiarity with model deployment using Docker, FastAPI, or Flask. • Understanding of MLOps practices. • Experience with cloud platforms such as AWS, GCP, or Azure. • Knowledge of Git and CI/CD pipelines.

Preferred Qualifications: • Experience with LLMs and Generative AI. • Knowledge of vector databases and embeddings. • Familiarity with LangChain or LLM orchestration frameworks. • Experience building AI-powered APIs or chatbots. • Exposure to Kubernetes and scalable ML infrastructure.

Education: • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.