Python Developer – Her Second Innings – Full Job Description
Company: Her Second Innings
Location: Chennai, Tamil Nadu
Job Type: Full-time
Salary: Negotiable
Job Designation: Intermediate Python Developer (LLMs & GenAI)
Job Overview: We are looking for an experienced Python developer with a strong background in Large Language Models (LLMs), Generative AI (GenAI), excellent knowledge prompt engineering, tools for RAG development. The ideal candidate will have hands-on experience in prompt engineering, working with advanced AI frameworks such as LlamaIndex, LangChain, LangGraph, and AutoGen.
Key Responsibilities:
- Develop and implement AI-driven solutions using Python and state-of-the-art LLMs like Azure OpenAI, Lama, Gemini.
- Design and optimize prompt engineering strategies to improve model responses and performance.
- Work with tools like LlamaIndex, LangChain, and LangGraph to integrate AI into business workflows.
- Use LangGraph and AutoGen to design and manage multi-step reasoning workflows for complex applications by using poly LLMs.
- Develop APIs and interfaces for integrating LLM-based models into existing systems on Flask.
- Perform performance testing, debugging, and continuous improvement of APIs.
- Research on developing conversational agents, personalized recommendations, and other GenAI-powered products like intelligent chatbots, assistants and digital twins.
- Keep up with the latest developments in AI/ML and apply new techniques to improve our models and tools.
Required Skills & Qualifications:
- Experience: 2-4 years of Python development experience with a focus on AI/ML.
- Knowledge: In-depth understanding of LLMs, GenAI, and prompt engineering.
- Frameworks: Proficiency in LlamaIndex, LangChain, LangGraph, and AutoGen.
- Skills: AI/ML, Machine Learning, Speech processing, NLP, APIs, Problem Solving
Preferred Qualifications:
- Knowledge on Speech synthesis and Sentience simulation
- Experience with cloud platforms (Azure and GCP) for deploying and scaling AI/ML models.
- Familiarity with containerization (Docker) and orchestration tools (Kubernetes) for deploying microservices.
- Experience with reinforcement learning, transformers, or other cutting-edge techniques.
- Understanding of ethical AI, data privacy, and responsible AI practices.
