Senior Software Engineer (Generative AI)

We are looking for a highly skilled Senior Software Engineer with deep, hands-on experience in Generative AI , large language models (LLMs), and modern ML systems. This is an end-to-end engineering role: you will design, build, and deploy AI-driven systems while working closely with founders, clients, and cross-functional teams. At Newtuple , engineers work across multiple problem domains, from real-time voice agents to RAG systems, on-prem LLM deployments, workflow automation, and large-scale enterprise AI applications.

You’ll take ideas from prototype to production in weeks, not months, and operate in an environment that rewards ownership, speed, and innovation. A key expectation for this role is comfort with AI-assisted development , including the use of AI coding tools, agents, automated refactoring workflows, and LLM-driven engineering assistance. We want engineers who actively leverage AI to accelerate development.

ResponsibilitiesAI & ML Development Design, develop, and deploy GenAI-based applications including RAG systems, retrieval pipelines, LLM-powered workflows, evaluation tools, and production agents. Ability to quickly prototype AI applications as well as develop for production scale Software Engineering Architect and implement high-performance backend systems in Python, Node.js, or similar languages . Build reliable, maintainable microservices, APIs, and full pipelines that support AI features end-to-end.

Convert loosely defined ideas and client requirements into production-quality systems through rapid prototyping and iteration. Work across multiple projects and adapt quickly to new domains and technical stacks. MLOps & Deployment Implement CI/CD pipelines, model monitoring, evaluation dashboards, and end-to-end model lifecycle workflows.

Deploy and scale AI systems on cloud platforms (AWS, GCP, Azure). Optimize compute cost, latency, and performance across both training and inference. Research & Innovation Stay up to date with the latest advancements in GenAI, multimodal models, vector databases, and agent frameworks.

Experiment with and evaluate open-source models such as LLaMA, Mistral, DeepSeek, and others. Explore autonomous AI agents, orchestration frameworks, and emerging tooling that improves developer productivity. RequirementsMust-Have Skills 6 years of full-time software engineering experience , including 2 years working directly with LLMs or applied ML .

Strong command of Python , ML frameworks (PyTorch/TensorFlow), and LLM tooling (Transformers, LangChain, LlamaIndex, etc.). Hands-on experience building RAG pipelines , using embeddings, vector databases (FAISS, Pinecone, Milvus), or fine-tuning LLMs. Proven experience deploying production-grade AI applications .

Solid understanding of algorithms, data structures, system architecture, and API design. Comfort using AI coding assistants and AI agents to accelerate development , including code generation, refactoring, testing, and multi-step reasoning automation. Ability to operate independently in ambiguous environments and convert rough requirements into working solutions.

Strong generalist skills: backend engineering, cloud services, data workflows, experimentation, and research. Good-to-Have Experience with multi-agent systems (CrewAI, LangGraph, others). Familiarity with multimodal AI (Vision/Audio models).

Knowledge of distributed systems and high-performance computing. Experience working in a startup or fast-paced consulting environment. What We Offer Opportunity to work with a cutting-edge Generative AI company based in Pune.

Ownership of key AI initiatives and full-stack responsibility from prototype to production. Direct collaboration with founders and exposure to a wide variety of domains: HRTech, Retail, Surveillance, Finance, Healthcare, and more. A fast-paced environment where experimentation, rapid delivery, and solving real problems for real customers is the norm.

Growth paths into Tech Lead , AI Architect , or other roles as the company scales.