We are seeking a skilled AI Engineer with hands-on experience in Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI to design, develop, and deploy intelligent solutions for real-world business problems.
The ideal candidate will have strong programming skills in Python, experience building and integrating AI models, and the ability to develop scalable AI applications using modern frameworks, cloud platforms, and data technologies.
Key Responsibilities
- Design, develop, and deploy AI/ML models to solve business problems and improve operational efficiency.
- Build AI-powered applications using Machine Learning, Deep Learning, and Generative AI techniques.
- Develop and integrate Large Language Model (LLM)-based solutions, AI assistants, chatbots, and intelligent automation workflows.
- Implement Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, and vector search capabilities.
- Work with structured and unstructured datasets for data preparation, feature engineering, model training, and evaluation.
- Develop AI services and APIs using Python frameworks such as FastAPI, Flask, or Django.
- Evaluate, fine-tune, and optimise AI models for accuracy, performance, scalability, and cost efficiency.
- Integrate AI models and third-party AI services into enterprise applications and existing systems.
- Collaborate with software engineers, data scientists, architects, and product teams to translate business requirements into AI solutions.
- Deploy and maintain AI applications in production environments.
- Implement model monitoring, performance evaluation, version control, and continuous improvement practices.
- Follow best practices for AI security, data privacy, responsible AI, and software engineering quality.
- Research emerging AI technologies and recommend suitable tools and approaches for business use cases.
Required Skills and Qualifications
- 4–8 years of experience in AI engineering, Machine Learning, or a closely related field.
- Strong proficiency in Python programming and software development fundamentals.
- Hands-on experience with Machine Learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
- Strong understanding of Machine Learning algorithms, model evaluation, feature engineering, and statistical concepts.
- Experience developing Generative AI applications using LLMs.
- Knowledge of prompt engineering, embeddings, RAG pipelines, and LLM evaluation.
- Experience with Hugging Face Transformers, OpenAI-compatible APIs, or other LLM platforms.
- Understanding of REST APIs, microservices, and application integration.
- Experience working with SQL/NoSQL databases and data processing pipelines.
- Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- Knowledge of Git, automated testing, Docker, and deployment practices.
- Strong analytical thinking, problem-solving, and communication skills.
Preferred Qualifications
- Experience with LangChain, LangGraph, or similar AI orchestration frameworks.
- Familiarity with vector databases such as Pinecone, Weaviate, FAISS, or Milvus.
- Experience with fine-tuning, quantisation, inference optimisation, and model serving.
- Exposure to MLOps/LLMOps, CI/CD, model versioning, and monitoring tools.
- Experience developing AI agents and multi-step AI workflows.
- Knowledge of Kubernetes, distributed computing, and scalable cloud architectures.
- Experience deploying AI solutions in production with measurable business outcomes.
Key Competencies
- AI/ML model development and deployment
- Generative AI and LLM application development
- Python programming and API development
- Data processing and model evaluation
- AI system integration and optimisation
- Production deployment and monitoring
- Technical problem-solving and collaboration
Pay: ₹480,000.00 - ₹2,780,000.00 per year
Work Location: In person
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