Join Our Team
We’re seeking talented professionals who are looking to advance their careers by working on innovative AI projects. If you’re passionate about building intelligent systems and scalable applications, we’d love to hear from you.
Location: Chennai
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 strong background in designing and deploying AI agents, chatbots, and Retrieval-Augmented Generation (RAG) systems.
Key Responsibilities
- Design, develop, and deploy AI-powered applications, including chatbots, AI agents, and automation workflows using modern LLMs.
- Build and optimize RAG pipelines using frameworks such as LangChain, LlamaIndex, and vector databases.
- Architect and implement scalable cloud-native AI solutions using AWS services, including Lambda, EC2, S3, and API Gateway.
- 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 technologies.
- Implement prompt engineering, fine-tuning, and LLM orchestration strategies to improve performance and reliability.
- Ensure code quality, scalability, and maintainability by 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 such as GPT, Claude, Grok, DeepSeek, or similar models.
- Solid understanding of RAG architectures, embeddings, vector search, and semantic retrieval.
- Proficiency in LangChain, LlamaIndex, or similar AI frameworks.
- Experience working with vector databases such as Pinecone, Weaviate, and FAISS.
- Strong understanding of prompt engineering, chaining, and agent-based workflows.
- Hands-on experience with AWS cloud services and serverless architectures.
- Experience building chatbots and voice agents for real-world applications.
- Familiarity with API integrations and third-party SaaS ecosystems, including CRM and marketing platforms.
- Good understanding of REST APIs, WebSockets, and backend architecture.
Good to Have
- Experience with fine-tuning or deploying open-source LLMs.
- Knowledge of Docker, CI/CD pipelines, and DevOps best practices
. - Exposure to real-time systems and streaming architectures.
- Understanding of AI cost optimization and performance tuning techniques.
- Prior experience working in startup or product-based environments.