Job Summary
We are seeking a skilled AI Engineer to design, develop, and deploy intelligent AI solutions that solve real-world business challenges. The ideal candidate has experience with machine learning, large language models (LLMs), AI application development, and cloud technologies. You will work closely with cross-functional teams to build scalable AI-powered products and automate business processes.
Key Responsibilities
- Design, build, and deploy AI-powered applications and intelligent automation solutions.
- Develop and integrate Generative AI applications using LLMs such as OpenAI GPT, Anthropic Claude, or Google Gemini.
- Build AI agents, Retrieval-Augmented Generation (RAG) systems, and conversational AI solutions.
- Develop, train, evaluate, and optimize machine learning models.
- Integrate AI solutions with APIs, databases, and enterprise applications.
- Build data pipelines for AI model training and inference.
- Perform prompt engineering, model evaluation, and performance optimization.
- Monitor AI applications for reliability, scalability, and security.
- Collaborate with product managers, software engineers, data scientists, and business stakeholders to deliver AI solutions.
- Stay up to date with emerging AI technologies, frameworks, and industry best practices.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 2–5+ years of experience in AI, Machine Learning, or Software Engineering.
- Strong programming skills in Python (preferred) or JavaScript/TypeScript.
- Experience with machine learning libraries such as PyTorch, TensorFlow, or Scikit-learn.
- Hands-on experience with LLMs and Generative AI technologies.
- Experience building AI applications using frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen.
- Knowledge of vector databases and Retrieval-Augmented Generation (RAG).
- Experience integrating REST APIs and third-party services.
- Familiarity with SQL and NoSQL databases.
- Understanding of software engineering best practices, Git, testing, and CI/CD.
Preferred Skills
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of Docker, Kubernetes, and containerized deployments.
- Experience with MLOps, model deployment, and monitoring.
- Familiarity with AI safety, security, and responsible AI practices.
- Experience with workflow automation platforms and enterprise system integrations.
- Understanding of data engineering and ETL pipelines.
Pay: ₹25,000.00 - ₹30,000.00 per month
Work Location: Remote
