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Urgent! Nextiva - Software Engineer - Generative AI Job Opening In Bengaluru – Now Hiring Nextiva

Nextiva Software Engineer Generative AI



Job description

<p><p><b>Description : </b><br/><br/>Redefine the future of customer experiences.

One conversation at a time.

At Nextiva, were reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation centric platform.<br/><br/>Powered by AI, driven by human innovation.<br/><br/>Our culture is forward thinking, customer obsessed and built on the belief that meaningful connections drive better business outcomes.<br/><br/>Whether its through our signature Amazing Service, the technology we create, or the experiences we cultivate, connection is at the core of who we are.<br/><br/>If youre ready to collaborate with incredible people, make an impact, and help businesses everywhere deliver truly amazing experiences, this is where you belong : </p><p><br/></p><p>- Build Amazing.</p><p><br/>- Deliver Amazing.<br/><br/>- Live Amazing.<br/><br/>- Be Amazing.<br/><br/>Were looking for a highly skilled and hands-on Software Engineer (Generative AI) to join our applied AI team.<br/><br/>Youll work with cutting-edge open-source and proprietary LLMs (like LLaMA, Mistral, Claude, GPT-4o, etc.) to build, prompt, and orchestrate intelligent agents that are capable, reliable, and production-ready.<br/><br/>This role is perfect for someone who has experience developing prompt chains, implementing tool-calling workflows, and debugging AI agents at scale.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Design, develop, and iterate on prompt strategies tailored to downloadable models and major APIs (LLaMA, Mistral, Claude, GPT-4o, etc.)<br/><br/>- Architect and implement RAG pipelines with a deep understanding of embedding models, retrievers, and context optimization techniques<br/><br/>- Create prompt chains and tool-calling workflows for dynamic agent behavior using Responses API and similar frameworks<br/><br/>- Design, test, and deploy foolproof agent architectures using OpenAI tool calling and agent protocol layers<br/><br/>- Write robust Guardrails and control flows for agents to prevent unintended behaviors and ensure task compliance<br/><br/>- Debug and maintain agent codebases, ensuring reliability and scalability of deployed services<br/><br/>- Apply basic knowledge of OpenAI Operator and related orchestration tools to manage agent lifecycle<br/><br/>- Collaborate with researchers and infra teams to optimize prompt efficiency and latency<br/><br/><b>Must-Have Qualifications : </b><br/><br/>- 3 - 5 years of experience in AI engineering, prompt engineering, or applied ML roles<br/><br/>- Proven experience working with both downloadable open-source models and hosted APIs<br/><br/>- Strong knowledge of LLM prompt design patterns, prompt chaining, and failure handling<br/><br/>- Ability to build agent systems that are secure, auditable, and self-healing<br/><br/>- Good coding and debugging skills in Python (or relevant stack) with focus on AI orchestration<br/><br/>- Familiarity with agent deployment pipelines, containerized environments, and CI/CD flows<br/><br/><b>Tech Stack We Use : </b><br/><br/>- Python, FastAPI, LangChain / LlamaIndex<br/><br/>- OpenAI, Anthropic, HuggingFace<br/><br/>- Vector DBs (Weaviate, Pinecone, Qdrant)<br/><br/>- Responses API, OpenAI Operator, A2A SDK<br/><br/>- Docker, GitHub Actions, GCP/AWS<br/><br/><b>Bonus (Nice-to-Have Skills) : </b><br/><br/>- Experience building agents from scratch, especially with agent transfer logic and persistent memory<br/><br/>- Understanding of Model Context Protocols and how to integrate them into multi-agent LLM stacks<br/><br/>- Familiarity with A2A SDK for agent-to-agent communication and delegation<br/><br/>- Hands-on experience with LoRA / QLoRA techniques for fine-tuning GPT-style models on downstream or domain-specific tasks<br/><br/>- Experience with vector DBs, context compression, or multi-turn reasoning at scale<br/><br/><b>Nextiva DNA (Core Competencies) : </b><br/><br/>Nextivas most successful team members share common traits and behaviors : <br/><br/>- Drives Results : Action-oriented with a passion for solving problems.<br/><br/>They bring clarity and simplicity to ambiguous situations, challenge the status quo, and ask what can be done differently.<br/><br/>They lead and drive change, celebrating success to build more success.<br/><br/>- Critical Thinker : Understands the "why" and identifies key drivers, learning from the past.<br/><br/>They are fact-based and data-driven, forward-thinking, and see problems a few steps ahead.<br/><br/>They provide options, recommendations, and actions, understanding risks and dependencies.<br/><br/>- Right Attitude : They are team-oriented, collaborative, competitive, and hate losing.<br/><br/>They are resilient, able to bounce back from setbacks, zoom in and out, and get in the trenches to help solve important problems.<br/><br/>They cultivate a culture of service, learning, support, and respect, caring for customers and teams<br/><br/></p><br/></p> (ref:hirist.tech)


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