LOCATION: CHENNAI / HYBRID

We are seeking a highly skilled AI Python Developer with hands-on experience in building production-grade applications powered by Large Language Models (LLMs). The ideal candidate should have a robust background in designing and deploying AI agents, chatbots, and Retrieval-Augmented Generation (RAG) systems, along with experience in integrating AI into real-world business workflows.

Key Responsibilities

- Design, develop, and deploy AI-powered applications including chatbots, AI agents, and automation workflows using modern LLMs.
- Build and optimize RAG pipelines leveraging frameworks like LangChain, LlamaIndex, and vector databases.
- Architect and implement scalable, cloud-native AI solutions using AWS (Lambda, EC2, S3, API Gateway, etc.).
- Integrate AI solutions with CRM and SaaS platforms such as GoHighLevel, HubSpot, and other business tools.
- Develop voice and conversational AI systems using platforms like Vapi, Twilio, ElevenLabs, or similar.
- Implement prompt engineering, fine-tuning, and LLM orchestration strategies for performance and reliability.
- Ensure code quality, scalability, and maintainability following modern Python development standards.
- Collaborate with product, design,



and business teams to translate requirements into scalable AI solutions.

Required Skills & Experience

- 2–5 years of professional experience in Python development.
- Strong hands-on experience with LLMs (GPT, Claude, Grok, DeepSeek, or similar).
- Solid experience with RAG architectures, embeddings, vector search, and semantic retrieval.
- Proficiency in LangChain, LlamaIndex, or similar AI frameworks.
- Experience with vector databases (Pinecone, Weaviate, FAISS, etc.).
- Strong understanding of prompt engineering, chaining, and agent-based workflows.
- Experience with AWS cloud services and serverless architectures.
- Hands-on experience building chatbots and/or voice agents.
- Familiarity with API integrations and third-party SaaS ecosystems (CRM, marketing tools, etc.).
- Good understanding of REST APIs, WebSockets, and backend architecture.

Good to Have

- Experience with fine-tuning or open-source LLMs.
- Knowledge of Docker, CI/CD pipelines, and DevOps practices.
- Exposure to real-time systems and streaming architectures.
- Understanding of AI cost optimization and performance tuning.
- Prior experience working in startup or product-based environments.

📌 AI Developer (LLMs, RAG, Chatbots) (India)
🏢 Akra Tech
📍 India