Simplilearn
Website:
simplilearn.com
Job details:
Postion- SDE-2 (Gen AI)
Role Summary:
As a GenAI Developer, you will work on building, integrating, and deploying cutting-edge Conversational AI systems using Large Language Models (LLMs). You’ll be responsible for everything from prompt engineering to backend orchestration and scalable AI tooling.
Responsibilities:
- Integrate LLM APIs into chatbots, virtual assistants, and backend services.
- Build and maintain prompt chains and tool-augmented agents using frameworks like LangChain
- Design and implement retrieval-augmented generation (RAG) systems using vector databases
- Develop middleware and backend logic to support dynamic, multi-turn conversational flows. (Applicable for SDE3)
- Work with embedding models to create semantic search and memory systems
- Optimize token usage, context management, and response quality.
- Implement function calling / tool usage features for LLMs to interface with real APIs or business systems.
- Monitor and log conversations for evaluation and improvement (e.g., response quality, latency, token usage).
- Partner with Product and various platform teams to identify, highlight, and integrate new opportunities, ensuring the timely delivery of pivotal projects leveraging LLM, RAG, and AI/Generative AI technologies.
- Provide mentorship to mid/junior-level team members.
Required Technical Skills:
- Proficient in Python or Node.js/TypeScript.
- Exposure to MEAN Stack development concepts for end-to-end application
- Experience working with REST APIs, Webhooks, OAuth.
- Familiarity with LLM APIs
- Strong hands-on knowledge of:
- LangChain, Langwatch
- Prompt engineering
- Function calling / tools / agents
- Awareness of MultiAgent Architecture
- Working with embedding models and vector search engines.
- Understanding of context windows, chunking, and memory strategies.
- Experience with text classification, NER, summarization, semantic search.
Click on Apply to know more.