AI ENGINEER
AI Engineer responsible for building and integrating AI-powered capabilities into enterprise applications, with a focus on LLM-based systems such as copilots, RAG applications, and intelligent automation workflows.
The role involves developing scalable AI services, integrating LLMs into backend systems, and contributing to production-grade AI solutions.
Required work experience
• Experience building APIs and backend systems
• Hands-on experience with LLM integrations and prompt design
• Understanding of embeddings, vector databases, and semantic search
• Experience working with structured and unstructured data
Must have technical skills
1. Strong programming skills in Python or .NET (C#)
2. Experience building REST APIs and backend services
3. Understanding of:
• LLM concepts and prompt engineering
• Embeddings and vector similarity search
• RAG architectures
4. Familiarity with at least one:
• LLM framework (LangChain, LlamaIndex or similar)
• Vector database (Pinecone, Weaviate, FAISS, Redis)
Good to have technical skills
1. Experience with cloud platforms (Azure, AWS, or GCP)
2. Familiarity with containerization (Docker)
3. Exposure to AI observability and evaluation techniques
4. Experience with enterprise applications or financial systems
Experience Range : 2–5 years (Minimum 2 years in AI/ML or related experience)
Educational qualification : Graduation/Post-Graduation in Computer Science, AI, Data Science or related field