Job description

**About Us:** Golden Hills Capital India Private Limited is a financial services company based in Hyderabad. We provide real\-time investment advice, analytical services, research, financial modeling and consulting services to hedge funds (primarily focused on US equity/stock market, based in Boston and New York. **Job Summary** We are seeking a AI Engineer with 2–3 years of experience to design, develop, and deploy AI\-powered applications using Large Language Models (LLMs), Small Language Models (SLMs), and agentic frameworks. The role involves building production\-grade AI systems, integrating LLMs into real\-world applications, and developing AI agents capable of reasoning, planning, and executing tasks autonomously. **Key Responsibilities** \- Design and build applications using Large Language Models (LLMs) and Small Language Models (SLMs). \- Develop AI\-powered workflows, copilots, and automation tools. \- Implement Retrieval Augmented Generation (RAG) pipelines for domain\-specific knowledge. \- Design and implement AI agents and multi\-agent systems capable of task execution. \- Build agent orchestration pipelines using frameworks like LangChain, LangGraph, CrewAI, or AutoGen. \- Integrate models from providers such as OpenAI, Anthropic, Cohere, and open\-source models (Llama, Mistral, Mixtral). \- Develop vector search pipelines using databases such as Pinecone, Weaviate, Chroma, or FAISS. \- Build scalable APIs for AI applications using Python\-based frameworks. \- Optimize prompts, chains, and agent behaviors for accuracy and performance. \- Implement monitoring, evaluation, and guardrails for AI systems. **Required Skills** \- Strong understanding of Generative AI architectures \- Experience with LLMs and SLMs \- Prompt engineering and RAG architectures \- Agent frameworks and orchestration \- Python programming \- Experience with LangChain, LangGraph, LlamaIndex \- Experience building APIs with FastAPI / Django / Flask \- Vector databases: Pinecone, FAISS, Chroma, Weaviate \- Experience integrating OpenAI, Anthropic, or HuggingFace models **Preferred Skills** \- Experience with multi\-agent AI systems \- Knowledge of model fine\-tuning, LoRA, and quantization \- Experience with LLM evaluation tools such as Ragas, LangSmith, or TruLens \- Familiarity with knowledge graphs and hybrid search \- Experience deploying AI systems using Docker and cloud platforms (AWS, GCP, Azure) **Education** Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. **Nice to Have** \- Experience building AI copilots \- Experience with AI safety and hallucination mitigation techniques \- Experience building AI\-powered SaaS products Pay: From ₹50,000\.00 per month Application Question(s): * What is your Current CTC? * What is your Expected CTC? * What is your Notice Period? Experience: * AI: 2 years (Required) Work Location: In person