Nextiva - Software Engineer - Generative AI

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