Job Description

• Build and deploy AI-powered applications using LLMs (OpenAI, Azure OpenAI, etc.)
• Design and implement advanced prompt engineering techniques:
• Few-shot / zero-shot prompting
• Chain-of-thought prompting
• Prompt optimization evaluation
• Develop RAG-based solutions using embeddings and vector databases
• Integrate AI models into APIs, products, and business workflows
• Build lightweight ML models such as:
• Recommendation systems
• Classification/regression models (Random Forest, XGBoost, etc.)
• Perform basic model training, evaluation, and tuning
• Work with tools like LangChain / LlamaIndex / Semantic Kernel / n8n
• Optimize model performance, response quality, cost, and latency
• Rapidly prototype and deliver POCs (2-4 weeks)
• Collaborate with business and engineering teams to solve real problems
• Continuously experiment with emerging AI tools and techniques

• Strong Python skills (must-have)
• Strong Prompt Engineering
• Ability to design, test, and refine prompts for accuracy and reliability
• Understanding of hallucination control and output structuring
• Experience working with LLMs, embeddings, and RAG
• Basic understanding of ML concepts:
• Model training, validation, overfitting
• Hands-on with at least one algorithm (Random Forest / regression etc.)
• Experience with APIs / backend integration
• Familiarity with:
• Vector DBs (FAISS / Pinecone / Chroma)
• Prompt testing and evaluation approaches
• Knowledge of cloud platforms(Azure preferred)

• Exposure to LangChain / LlamaIndex
• Experience building chatbots / copilots / AI assistants
• Basic understanding of MLOps / deployment pipelines
• Familiarity with Docker / API deployment

• Fast learner > years of experience
• Strong logical thinking curiosity
• Ownership-driven and proactive
• Ability to translate ambiguous business problems into AI solutions

• High-quality prompt design leading to accurate AI outputs
• POCs delivered within 2-4 weeks
• Working AI applications in production
• Optimized LLM cost vs performance
• Ability to independently learn and apply new AI techniques

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