Job Description

- Architect, develop, and scale production-grade Generative AI applications, multi-agent systems, and chatbots.
- Build advanced Retrieval-Augmented Generation (RAG) architectures with hybrid search, re-ranking, and energetic chunking.
- Fine-tune open-weight foundation models (Llama 3, Mistral) using LoRA, QLoRA, and parameter-efficient transfer learning.
- Implement robust prompt engineering pipelines, LLM guardrails (safety & hallucination mitigation), and evaluation frameworks.
- Develop high-performance streaming backend services using FastAPI, asynchronous Python, and Redis queues.
- Stay ahead of rapid advancements in the open-source AI ecosystem and evaluate emerging AI models and libraries.

Skills & Experience

- 1 to 4 years of software development experience with proven specialization in Generative AI and LLM workflows.
- Deep hands-on expertise with LangChain, LlamaIndex, Hugging Face Transformers, and proprietary LLM APIs (OpenAI, Claude, Gemini).




- Solid understanding of embedding models, vector databases (Pinecone, Weaviate, Milvus, Chroma), and semantic indexing.
- Strong programming skills in Python 3.10+, asynchronous concurrency, and RESTful/WebSocket APIs.
- Familiarity with model fine-tuning frameworks (Unsloth, PEFT, Hugging Face TRL) and GPU compute acceleration.
- Robust problem-solving skills and experience designing production architectures for generative workflows.

Qualifications

- B.Tech / B.E. / BCA / MCA / M.Tech in Computer Science, Software Engineering, or equivalent practical industry experience.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Generative AI & LLM Engineer (Sahibzada Ajit Singh Nagar)
🏢 Trigvent Solutions
📍 Sahibzada Ajit Singh Nagar