Artificial Intelligence Engineer

1 day ago

Greater Kolkata Area, India Silverskills Private Limited Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Description
About the Role :

We are looking for a skilled AI Engineer to design, build, and deploy AI/ML solutions across business functions and products.

You will work on LLM-powered applications, agentic AI systems, and RPA bots, helping automate workflows, enhance decision-making, and create intelligent user experiences.

This is a hands-on role that blends AI development, system design, and production deployment.

Key Responsibilities

  • Design and deploy AI/ML solutions for NLP, computer vision, recommendations, and predictive analytics.
  • Build agentic AI systems capable of autonomous task execution using tools like LangChain Agents or similar frameworks.
  • Develop and deploy RPA bots for workflow automation, integrating with enterprise systems and third-party APIs.
  • Operationalize LLM-based applications such as chatbots, document understanding, summarization, and Q&A systems.
  • Collaborate with data scientists to productionize research models.
  • Build data ingestion pipelines and manage feature stores for model training/inference.
  • Use LangChain, Hugging Face Transformers, TorchServe for model orchestration and integration.
  • Automate training, retraining, and monitoring pipelines using MLflow, Kubeflow, Airflow.
  • Deploy models via FastAPI, Docker, and Kubernetes in cloud environments.
  • Monitor model performance, detect drift, and ensure reliability in production.
  • Document architecture, automation workflows, and deployment strategies.

Qualifications

  • Masters degree in computer science, AI/ML, or related technical field.
  • 3+ years of experience in software or AI/ML development; production deployment experience is essential.
  • Deep understanding of ML pipelines, agentic AI design, and automation frameworks.
  • Strong proficiency in Python, SQL, and scripting languages.
  • Experience with cloud platforms (Azure, AWS, or GCP) and CI/CD pipelines.
  • Familiarity with Agile, DevOps, and distributed systems.

Technical Skills

  • Languages: Python, SQL, Bash
  • Frameworks: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers
  • NLP & Agentic AI: OpenAI API, LangChain Agents, SpaCy, RAG pipelines
  • RPA Tools: UiPath, Automation Anywhere, or custom bot frameworks (Python-based)
  • MLOps: MLflow, Kubeflow, Airflow, Docker, Kubernetes
  • Cloud Platforms: Azure ML, AWS SageMaker, GCP Vertex AI
  • Deployment: FastAPI, REST APIs, containerized microservices

Soft Skills

  • Strong problem-solving and automation mindset
  • Ability to simplify and explain AI concepts to business stakeholders
  • Collaborative, detail-oriented, and proactive
  • Strong sense of ownership and documentation discipline

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