Generative AI Engineer

We’re looking for a highly skilled and hands-on RAG (Retrieval-Augmented Generation) & Prompt Engineer to join our applied AI team. You’ll 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 latency.

Must-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 flows.

Tech 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/AWS.

Bonus (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 scale.

Total Rewards

Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office.

Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses.

• Medical 🩺- Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity.
• Group Term & Group Personal Accident Insurance 💼 - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means.
  • Coverage Type - Employee Only
  • Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000
  • Free Cover Limit - 1.5 Crore
• Work-Life Balance ⚖️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays
• Financial Security💰 - Provident Fund & Gratuity
• Wellness 🤸‍ - Employee Assistance Program and comprehensive wellness initiatives
• Growth 🌱 - Access to ongoing learning and development opportunities and career advancement

At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! 

Established in 2008 and headquartered in Scottsdale, Arizona, Nextiva secured $200M from Goldman Sachs in late 2021, valuing the company at $2.7B.To check out what’s going on at Nextiva, check us out on Instagram, Instagram (MX), YouTube, LinkedIn, and the Nextiva blog. 

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