Generative AI Engineer

2 days ago


Bengaluru, India LION AND ELEPHANTS CONSULTANCY PRIVATE LIMITED Full time

About the Role :We are seeking a highly capable and motivated PX-Gen AI Engineer with hands-on expertise in Python, Generative AI (Gen AI), Agentic AI, and ML systems development. The ideal candidate will be proficient in developing and deploying LLMs, building scalable APIs, and integrating cloud-native AI solutions on AWS and Azure platforms.You'll be part of an advanced engineering team working on cutting-edge Gen AI systems, including agent-based architectures, model fine-tuning, LLM evaluation, and full-stack AI application delivery.Key Responsibilities :Model Fine-Tuning & Training :- Fine-tune Large Language Models (LLMs) for specific business tasks using frameworks like PyTorch, Langchain, DSPy, etc.- Improve model accuracy and efficiency through training optimization and data augmentation strategies.Model Deployment & Integration :- Deploy models in production using AWS or Azure, and containerize using Docker.- Build cloud-native, scalable Gen AI services using offerings like Cognitive Services, API Management (APIM), App Services, and S3/Object Storage.API Development & Web Integration :- Build robust, RESTful APIs using FastAPI or Flask to serve ML models and LLMs.- Integrate APIs with third-party systems and ensure secure, high-performance communication.Agentic AI & LLM Evaluation :- Develop and evaluate Agentic AI systems capable of decision-making, task orchestration, and dynamic workflow execution.- Design testing and evaluation pipelines for LLMs to assess quality, coherence, latency, and use-case effectiveness.Search & Indexing :- Implement NLP-based search and indexing systems using tools like Elasticsearch, FAISS, or similar.- Optimize information retrieval for semantic understanding and relevance scoring.Research & Innovation :- Stay abreast of the latest developments in Generative AI, NLP, LLM architectures, and multi-agent frameworks.- Bring new ideas and innovations into existing platforms and solutions.Mandatory Skills :- Programming : Python (expert level)- AI/ML Fundamentals : Strong foundation in ML algorithms and DL architectures- Gen AI & LLMs : Langchain, LangGraph, PyTorch, DSPy- Web Frameworks : FastAPI, Flask- Cloud Platforms : AWS (primary), Azure (secondary)- Agentic AI : Experience with multi-agent or autonomous system design- DevOps Tools : Docker, API development, LLM evaluation pipelinesSkills to Evaluate (Technical Assessment) :- Python- Generative AI- AWS (services for AI/ML)- Agentic AI- ML fundamentals- Flask & FastAPI (API frameworks)- PyTorch (model Skills :- Exposure to search/indexing systems (e.g., FAISS, Pinecone, Elasticsearch)- Understanding of LLMOps and Model-as-a-Service deployment practices- Familiarity with SpaCy, MCP, and LangGraph- Experience deploying LLMs at scale with GPU/TPU integrationQualifications :- Bachelor's or Master's in Computer Science, AI/ML, or a related engineering discipline- 5-7 years of relevant experience in AI/ML engineering- Proven track record in building Gen AI solutions for production use (ref:hirist.tech)



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