AI Engineer
TechWaves RecruitmentKakinada, IN18 hours ago
Job descriptionBuild and deploy high-quality features using TypeScript (70%) and Python (30%) for AI / ML workloads Design and maintain relational databases (Azure SQL) and vector databases, ensuring optimal performance and data integrity Develop and integrate clean, scalable APIs to support AI-powered features and 3rd-party services Collaborate with product team to deliver AI / ML capabilities that solve real user problems Take full ownership of feataures from concept to production deployment Contribute to engineering best practices and participate in code reviews with a constructive mindset 5+ years of backend development experience in a commercial setting 2+ years of production experience building and deploying LLM-based applications Strong understanding of RAG concepts : embeddings, vector search, retrieval strategies, and chunking approaches Hands-on experience with an agent orchestration framework (Mastra, LangChain, LlamaIndex, or similar) Experience building multi-agent systems with tool use, memory, and planning capabilities Proficiency in TypeScript (primary) and Python, ideally with knowledge of NodeJS Solid experience with relational databases and familiarity with vector databases Experience working in cloud environments (preferably Azure, with exposure to Kubernetes, Docker, etc.) Comfortable with version control and collaboration tools like GitHub A hands-on "doer" who executes efficiently and takes pride in shipping quality code Excellent communication skills and fluency in English
Location : Role is remote, however you must be based within a City location in India
Our client who provides world’s leading Agent and Agentic solution platform designed for teams looking to streamline operational efficiency and scale productivity without needing to add headcount is currently hiring for an AI Engineer.
What You'll Do
AI / ML Engineering
- Build and deploy production-grade AI / ML features using LLM APIs (OpenAI, Anthropic, etc.) and agent orchestration frameworks
- Design, implement, and optimize RAG pipelines including embedding strategies, vector search, and retrieval patterns
- Develop multi-agent systems with tool use, memory management, and planning capabilities using frameworks like Mastra, LangChain, or LlamaIndex
- Engineer and iterate on prompts to optimize LLM performance, accuracy, and cost-efficiency
Backend Development
Collaboration & Ownership
Required :
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Ai Engineer • Kakinada, IN
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