INDStaff Software Engineer - AI

We are seeking a highly skilled T7 AI Engineer to join our engineering team in Hyderabad, India. This role combines hands-on AI/ML engineering with deep software development expertise to build, deploy, and operate production-grade AI systems at enterprise scale. You will design and implement AI-powered solutions — from LLM integrations and agentic workflows to ML pipelines and intelligent automation — while driving AI adoption and engineering excellence across teams.

• Design, build, and deploy production AI systems including RAG pipelines, agentic workflows, multi-model orchestration, and intelligent automation
• Integrate large language model (LLM) APIs and AI/ML services into enterprise applications (GCP Vertex AI)
• Implement and optimize prompt engineering strategies, fine-tuning pipelines, embeddings, and vector search solutions
• Build and maintain AI orchestration workflows using frameworks such as LangChain, Semantic Kernel, AutoGen, CrewAI, or LlamaIndex
• Develop custom AI agents, tools, and autonomous workflows that solve real business problems
• Establish evaluation frameworks for AI systems — measuring accuracy, latency, cost, hallucination rates, and business outcomes
• Build end-to-end AI-powered applications spanning frontend, backend, APIs, and data layers
• Design and implement MLOps/LLMOps pipelines for reliable model deployment, versioning, and lifecycle management
• Partner with product, design, and data science teams to identify and deliver AI-driven opportunities

• 8+ years of professional software engineering experience, with 2+ years focused on AI/ML solution development and delivery
• Bachelor's degree in Computer Science, Software Engineering, AI/ML, or related field (or equivalent experience)
• Strong understanding of large language model architectures, capabilities, and limitations
• Proven track record building and deploying production AI systems (RAG, agents, fine-tuning, embeddings, vector search)
• Proficiency with AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI, LlamaIndex)
• Expert-level proficiency in Python; strong skills in at least one additional language (Java, TypeScript/Node.js, C#/.NET)
• Hands-on experience deploying and operating AI workloads on cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD tooling
• Proficiency with SQL and NoSQL databases, vector databases (Pinecone, Weaviate, pgvector, ChromaDB), and data pipeline tools