12 Guardrails Jobs

Roles and Responsibilities Design, test, and refine prompts to optimize LLM performance across diverse tasks and domains Build and maintain a library of prompt templates and reusable components Collaborate with engineers, analysts, and business teams to embed prompt engineering into broader AI workflows Analyse model outputs and user feedback to iteratively improve prompt accuracy, consistency, and relevance Monitor developments in the fields of prompt engineering, generative AI, and LLM capabilities to inform internal practices Contribute to documentation, internal guidelines, and knowledge-sharing initiatives related to prompt engineering Required Background Demonstrable experience with pr...

Role Overview: At Cync Software, we are redefining digital lending with AI-first solutions. As a Distinguished AI Engineer, your primary role will involve designing and scaling multi-layer AI systems to streamline lending processes. You will play a key role in automating financial statement extraction, spreading, underwriting workflows, and real-time covenant monitoring to enhance customer service for banks and credit unions. Key Responsibilities: - Build and orchestrate AI agents to execute multi-step lending workflows accurately and ensure compliance. - Design, train, and optimize LLM and ML systems for credit memo generation, covenant monitoring, profitability analytics, and decision supp...

Looking for AI Developer( Amazon Bedrock/ Agentic AI ) AWS Certification Experience in orchestration frameworks Knowledge of Vector Database

As a Conversational AI Dev at NTT DATA, you will be part of a dynamic team in Chennai, Tamil Nadu, India. With over 5 years of experience, you will utilize your expertise in Python, Behavior Tree, Prompt Engineering, RAG, Graph DB (neo4j), LLM, Gemini Vertex, NLP, NLU, and GuardRails to contribute to innovative projects. NTT DATA, a trusted global innovator with a focus on business and technology services, values inclusivity and forward-thinking individuals. Our commitment to helping clients innovate and optimize for long-term success is evident through our diverse team of experts across more than 50 countries. As a Conversational AI Dev, you will have the opportunity to work with Fortune Gl...

NTT DATA is looking for a Conversational AI Developer to join their team in Chennai, Tamil Nadu, India. As a Conversational AI Dev, you should have at least 5 years of experience and expertise in Python, Behavior Tree, Prompt Engineering, RAG, Graph DB (neo4j), LLM, Gemini Vertex, NLP, NLU, and GuardRails. NTT DATA is a trusted global innovator of business and technology services with a commitment to helping clients innovate, optimize, and transform for long-term success. They serve 75% of the Fortune Global 100 and have a diverse team of experts in more than 50 countries. Their services include business and technology consulting, data and artificial intelligence, industry solutions, as well...

You will be expected to have hands-on project experience with GCP core products and services, including GCP Networking, VPCs, VPCSC, and Google Artefact Registry. It is essential to have extensive experience in Infrastructure as Code, including TF custom Modules and TF module Registry. Moreover, you should possess hands-on experience with GCP Data products such as Bigquery, Dataproc, Dataflow, and Vertex AI. Familiarity with Kubernetes and managing container Infrastructure, specifically GKE, is also required for this role. The role involves automation using programming languages like Python, Groovy, etc. Additionally, having an understanding of Infrastructure security, threat modeling, and G...

Role & responsibilities Design & implement agentic workflows using frameworks like LangGraph, CrewAI(or equivalent), including tool orchestration, planning/replanning, and error recovery. Add guardrails & safety : Prompt hardening, output validation (JSON schema/Pydantic), policy filters, jailbreak/indirect prompt injection defenses. Ground responses with context : build RAG pipelines clinical notes, guidelines, and knowledge bases; handle retrieval quality (chunking, reranking), citation & traceability. Engineer loops : review/approval queues, escalation paths, fallbacks, and exception handling Manage agent state & memory : conversation/state graphs, checkpoints, and session continuity usin...

Experience required: 7+ years Core Generative AI & LLM Skills: * 5+ years in Software Engineering, 1+ year in Generative AI. * Strong understanding of LLMs, prompt engineering, and RAG. * Experience with multi-agent system design (planning, delegation, feedback). * Hands-on with LangChain (tools, memory, callbacks) and LangGraph (multi-agent orchestration). * Proficient in using vector DBs (OpenSearch, Pinecone, FAISS, Weaviate). * Skilled in Amazon Bedrock and integrating LLMs like Claude, Titan, Llama. * Strong Python (LangChain, LangGraph, FastAPI, boto3). * Experience building MCP servers/tools. * Designed robust APIs, integrated external tools with agents. * AWS proficiency: Lambda, API...

You are looking for a talented individual to join our team as a Pega Certified Lead System Architect/CSSA in Pune, India. In this role, you will be responsible for designing and implementing enterprise-level solutions using the Pega platform. The ideal candidate should have hands-on expertise in Pega version 7.x or greater, integration using connectors and services, and working in an Agile Scrum environment. Your responsibilities will include leading the design and architecture of Pega applications, collaborating with cross-functional teams to define and implement solutions, creating system architecture diagrams and documentation, and interfacing with clients daily to understand requirements...

Experience required: 7+ years Core Generative AI & LLM Skills: * 5+ years in Software Engineering, 1+ year in Generative AI. * Strong understanding of LLMs, prompt engineering, and RAG. * Experience with multi-agent system design (planning, delegation, feedback). * Hands-on with LangChain (tools, memory, callbacks) and LangGraph (multi-agent orchestration). * Proficient in using vector DBs (OpenSearch, Pinecone, FAISS, Weaviate). * Skilled in Amazon Bedrock and integrating LLMs like Claude, Titan, Llama. * Strong Python (LangChain, LangGraph, FastAPI, boto3). * Experience building MCP servers/tools. * Designed robust APIs, integrated external tools with agents. * AWS proficiency: Lambda, API...

Please look below highlighted areas in resume Landing Zones using AWS Control Tower, Service Catalog, and Guardrails . This is must in profiles and its missing in resume. Architect cloud migration strategies, ensuring seamless workload transition to AWS. Implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, and AWS CDK. Design and manage AWS Landing Zones using AWS Control Tower, Service Catalog, and Guardrails . Optimize AWS cloud services across IaaS, PaaS, and SaaS models to enhance agility and scalability. Ensure compliance with security best practices, governance frameworks, and AWS Well-Architected principles. Establish multi-account strategies using AWS Organizat...

About the Role The LLM Applications Engineer transforms AI prototypes into modular, secure, and production-ready workflows. This role focuses on orchestrating AI agents, implementing observability, and building toolkits that accelerate internal and external adoption. Key Duties/ Responsibilities • Develop agent orchestration using frameworks like LangChain, CrewAI, AutoGen. • Build reusable APIs, SDKs, and configuration layers for internal consumption. • Implement prompt safety measures and fallback handling using Rebuff, Guardrails AI. • Ensure agent workflows are observable and CI/CD friendly. • Collaborate with platform and backend engineers for deployment enablement. Leadership Skills: •...