Role: AI Engineer (Senior)
Year: 2026
Qualification: Not Specified
Experience (years): 5-10
Job description:
4–6 years of experience in Data Science / Machine Learning / AI Engineering
Strong programming skills in Python
Hands-on experience with ML libraries such as Scikit-learn, Pandas, NumPy
Experience in building ML models (classification, regression, NLP, etc.)
Practical exposure to Generative AI / LLMs
Prompt engineering
RAG (Retrieval-Augmented Generation)
Chatbot or document-based AI solutions
Familiarity with frameworks like LangChain, LlamaIndex, or similar
Experience in building and consuming APIs
Strong problem-solving and analytical skills
Experience with cloud platforms (AWS / Azure / GCP)
Exposure to model deployment tools (Docker, MLflow, etc.)
Understanding of vector databases (FAISS, Pinecone, etc.)
Experience working in agile development environments

Technical skills: Python, ML, Pandas, NumPy, Scikit-Learn, GenAI, LLMs, Prompt Engineering, RAG,  LangChain, APIs, AWS/Azure, Docker, MLflow, VectorDB
Soft skills: Communication, Problem Solving