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Artificial Intelligence Engineer - LLM/RAG Job Opening In India, India – Now Hiring CNR EdTech


Job description

<p><p><b>Job Description: AI Developer</b><br/><br/><b>Role:</b> AI Developer<br/><br/><b>Type:</b> Full-Time (Payroll)<br/><br/><b>Location:</b> Remote (UK Shift)<br/><br/><b>Reports To:</b> Head of AI / Engineering Lead<br/><br/><b>Experience:</b> 4 to 6 Years<br/><br/><b>Compensation:</b> ?12 25 Lakh / Year<br/><br/><b>Availability:</b> Immediate Joiners Only</p><p><b><br/></b></p><p><p><b>Role Overview :</b></p><p><br/></p><p>We are seeking an experienced AI Developer with strong expertise in Large Language Models (LLMs) and AI-driven application development to join our fast-growing team at Ekyam.ai.</p><p><br/>In this role, you will design and build AI Agents within our platform, leveraging LLM APIs (OpenAI, Anthropic, Google, etc.), prompt engineering, and RAG (Retrieval-Augmented Generation) techniques.

You will be responsible for architecting agent logic, enabling complex tasks within e-commerce and retail data orchestration pipelines.</p><br/></p><p>This role also offers growth opportunities to work on in-house LLM customization and deployment, making it an ideal opportunity for AI professionals eager to evolve with cutting-edge AI Responsibilities :</b></p><p><br/></p>- AI Agent Development: Design, implement, test, and maintain AI Agent logic within FastAPI microservices, enabling intelligent orchestration of platform tasks and workflows.<br/><br/></p><p>- LLM API Integration & Prompt Engineering: Connect with external LLM APIs, craft and optimize prompts, and ensure robust performance for use cases such as summarization, Q&A, and content generation.<br/><br/></p><p>- RAG Implementation: Implement Retrieval-Augmented Generation pipelines with vector databases (Pinecone, FAISS, Weaviate, etc.) to enhance LLM responses with contextual data.<br/><br/></p><p>- FastAPI Microservice Development: Build, deploy, and maintain scalable microservices in a containerized environment (Docker, Kubernetes) for AI agents.<br/><br/></p><p>- Data Processing for AI: Prepare, preprocess, and manage data pipelines for context retrieval, training, or fine-tuning purposes.<br/><br/></p><p>- Cross-Team Collaboration: Work with product, engineering, and data teams to deliver AI-powered features.<br/><br/></p><p>- Continuous Learning & Future Growth: Stay current with the latest advancements in LLMs, and contribute towards future LLM fine-tuning, deployment, and MLOps Skills & Qualifications :</b></p><p><br/></p>- 4 to 6 years of hands-on experience in AI/ML application development.<br/><br/></p><p>- Strong programming skills in Python.<br/><br/></p><p>- Experience with FastAPI and REST API development.<br/><br/></p><p>- Proven experience integrating and working with LLM APIs (OpenAI, Anthropic, Google).<br/><br/></p><p>- Prompt Engineering expertise with demonstrable real-world use cases.<br/><br/></p><p>- Practical experience with RAG concepts and vector databases (Pinecone, FAISS, etc.).<br/><br/></p><p>- Solid understanding of Machine Learning fundamentals; exposure to PyTorch, TensorFlow, Hugging Face.<br/><br/></p><p>- Experience with cloud platforms (AWS, GCP, Azure) and containerized deployments (Docker, Kubernetes).<br/><br/></p><p>- Excellent problem-solving, debugging, and communication skills.<br/><br/></p><p>- Ability to thrive in an agile, remote-first environment.<br/><br/></p><p>- Bachelors or Masters in Computer Science, AI, or related Qualifications :</b></p><p><br/></p>- Experience with LangChain or LlamaIndex for AI agent development.<br/><br/></p><p>- Familiarity with LangSmith for observability and debugging AI pipelines.<br/><br/></p><p>- Experience with graph databases (Neo4j, Cypher).<br/><br/></p><p>- Knowledge of MLOps practices, including model lifecycle management.<br/><br/></p><p>- Skills in optimizing LLM performance (latency/cost).<br/><br/></p><p>- Awareness of AI security and bias mitigation best Skills Summary :</b><br/><br/></p><p>- Python (3+ Years) Intermediate<br/><br/></p><p>- FastAPI (1+ Years) Intermediate<br/><br/></p><p>- LLM (1+ Years) Intermediate<br/><br/></p><p>- Prompt Engineering (1+ Years) Intermediate<br/><br/></p><p>- Generative AI (2+ Years) Intermediate<br/><br/></p><p>- Artificial Intelligence (2+ Years) Intermediate</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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