Senior Software Engineer - Generative AI

Newtuple Technologies; Maharashtra; In loco; INR 4.500.000 - 7.500.000; Tempo pieno

Descrizione del lavoro

Newtuple Technologies in Pune seeks a Senior Software Engineer with deep Generative AI experience to design, build, and deploy AI-driven systems across real-time domains. This role involves end-to-end ownership from prototype to production while collaborating with founders, clients, and cross-functional teams.

You will work with RAG pipelines, LLM workflows, and AI tooling to accelerate development, while prioritizing speed, ownership, and innovation in a fast-paced environment.

Competenze

• 4+ years of full-time software engineering experience.
• 1–2 years working directly with LLMs or applied ML.
• Strong Python expertise and ML framework knowledge.
• Experience building production-grade AI applications.

Mansioni

• Design, develop, and deploy GenAI-based applications including RAG systems.
• Architect and implement high-performance backend systems and microservices.
• Deploy and scale AI systems on cloud platforms (AWS, GCP, Azure).
• Stay up-to-date with GenAI advances and open-source models.

Conoscenze

Python

LLMs/ML experience

API design

Cloud services

Data workflows

AI tooling & agents

Prototyping to production

Strumenti

PyTorch

TensorFlow

Transformers

LangChain

LlamaIndex

FAISS

Pinecone

Milvus

OpenAI Agents SDK

CrewAI

Descrizione del lavoro

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.

About the Role

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.

Responsibilities

GenAI 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.

LLMOps & 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.

Requirements

Must-Have Skills

• 4+ years of full-time software engineering experience , including 1–2 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 (OpenAI Agents SDK, Claude Agents SDK, 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.