Lead AI Engineer – Agentic Engineering

Blend360

Lead AI Engineer building production-grade agentic systems for Blend360, an AI services provider. Driving AI-assisted software development, agent orchestration, evaluations, and scalable engineering workflows.

Posted 8/14/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and evaluating production-grade Agentic AI systems, leveraging advanced AI tools and frameworks for software development. Proficient in Python, multi-agent architectures, and cloud-native solutions to enhance engineering workflows and productivity.

Highest-signal resume keywords

Agentic AI System DevelopmentPython ProgrammingMulti-Agent ArchitectureLLM Application DevelopmentAI Evaluation Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI EngineeringProduction-Grade ApplicationsAgent EvaluationContext ManagementTool CallingAPI DevelopmentDebuggingTestingScalability

Soft Skills

Technical LeadershipCollaborationMentoring

Tools & Technologies

Claude CodeLangGraphLangChainFastAPIDockerKubernetesAWSAzureGCPMCP

Industry Keywords

Agentic EngineeringAI AgentsSoftware Development LifecycleCI/CDCloud-Native ArchitecturesEvaluation DatasetsAutomated Regression TestsQuality GatesDistributed SystemsClient-Facing Environments

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesPythonSDLC

About the role

Key responsibilities & impact

Drive adoption of Agentic Engineering practices across the software development lifecycle using AI agents to augment and automate engineering workflows
Leverage Claude Code, Claude Code Skills, PI, Hermes Agent, and comparable AI coding/engineering agents in day-to-day software development
Build AI-assisted workflows for requirements analysis, code generation, code understanding, refactoring, testing, debugging, documentation, code review, and deployment
Design agent workflows that understand large codebases, manage context, use tools, execute multi-step engineering tasks, and recover from failures
Establish practices for context management, context engineering, tool calling, agent orchestration, guardrails, human-in-the-loop workflows, and autonomous task execution
Design and implement evaluations measuring agent correctness, reliability, code quality, task completion, regression, and effectiveness
Evaluate emerging agentic coding tools and techniques to improve engineering productivity and software quality
Architect and develop production-grade multi-agent and agentic systems for complex, multi-step tasks
Design agent architectures covering planning, reasoning, tool use, memory/context, execution, reflection, validation, and error recovery
Integrate agents with APIs, databases, enterprise systems, developer tools, and external services
Develop reliable tool-use and MCP-based integrations where appropriate
Build production-grade LLM applications using LangGraph, LangChain, or equivalent orchestration frameworks
Implement RAG, semantic search, vector retrieval, structured outputs, and other LLM application patterns
Establish observability, evaluation, monitoring, security, and guardrails for agentic applications
Provide technical leadership across AI-powered software products and platforms
Apply software engineering principles including system design, modular architecture, API design, scalability, reliability, testing, CI/CD, and maintainability
Build production-quality services and APIs using Python, FastAPI, Docker, Kubernetes, and cloud platforms
Collaborate with engineering, product, data, and client teams to translate business problems into scalable technical solutions
Conduct technical design reviews and mentor AI/software engineers
Establish engineering standards and best practices for AI and agentic applications
Lead Agentic AI initiatives and influence architecture and engineering decisions across teams
Prototype emerging technologies and transition successful approaches into reliable production solutions
Collaborate with clients and internal stakeholders to identify opportunities for measurable Agentic AI value

Requirements

What you’ll need

6+ years of software engineering / AI engineering experience
Strong hands-on development experience and software engineering fundamentals
Experience building production-grade applications and services
Demonstrable experience building production-grade Agentic AI systems beyond simple chatbots or basic RAG applications
Strong understanding of Agentic Evaluation / Agent Evals
Experience creating evaluation datasets, test scenarios, metrics, automated regression tests, and quality gates
Ability to evaluate planning, tool use, reasoning trajectory, context handling, reliability, safety, latency, cost, and task completion
Strong hands-on experience with Python and modern backend/API development
Experience with LLMs, GenAI, agent orchestration, tool calling, and RAG
Experience with agent frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Google ADK, or equivalent
Strong understanding of multi-agent architectures, planning, reasoning, context management, tool use, memory, and agent execution
Experience with evaluation frameworks to measure and improve AI/agent performance
Experience with cloud, containers, CI/CD, APIs, databases, and production deployments
Strong understanding of software architecture, debugging, testing, scalability, and production engineering practices
Practical exposure to using AI agents as engineering tools within the SDLC
Experience with Claude Code / Claude Code Skills, PI, Hermes Agent, or comparable agentic development platforms is highly valuable
Experience with MCP and building MCP servers/tools is nice to have
Experience with Claude, GPT, Gemini, Llama, or other frontier models is nice to have
Experience with AWS, Azure, or GCP is nice to have
Experience with Kubernetes, Docker, CI/CD, and cloud-native architectures is nice to have
Experience with LLM observability and tracing is nice to have
Experience with Langfuse, Arize Phoenix, OpenTelemetry, or similar is nice to have
Experience implementing automated agent evaluations, regression testing, and quality gates is nice to have
Experience with distributed systems and scalable AI inference is nice to have
Experience in consulting/client-facing environments is nice to have

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Blend360 Website LinkedIn All Job Openings 501 - 1000 employees 🏥 Healthcare 🏨 Hospitality ✈️ Travel 💰 $100M Private Equity Round on 2022-08 Healthcare
Hospitality
Travel Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024. Lead AI Engineer – Agentic Engineering 🔥 1 minute ago 🇮🇳 India – Remote ⏰ Full Time 🟠 Senior 🤖 AI Engineer AWS Azure Cloud Distributed Systems Docker Google Cloud Platform Kubernetes Python SDLC Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Drive adoption of Agentic Engineering practices across the software development lifecycle using AI agents to augment and automate engineering workflows
Leverage Claude Code, Claude Code Skills, PI, Hermes Agent, and comparable AI coding/engineering agents in day-to-day software development
Build AI-assisted workflows for requirements analysis, code generation, code understanding, refactoring, testing, debugging, documentation, code review, and deployment
Design agent workflows that understand large codebases, manage context, use tools, execute multi-step engineering tasks, and recover from failures
Establish practices for context management, context engineering, tool calling, agent orchestration, guardrails, human-in-the-loop workflows, and autonomous task execution
Design and implement evaluations measuring agent correctness, reliability, code quality, task completion, regression, and effectiveness
Evaluate emerging agentic coding tools and techniques to improve engineering productivity and software quality
Architect and develop production-grade multi-agent and agentic systems for complex, multi-step tasks
Design agent architectures covering planning, reasoning, tool use, memory/context, execution, reflection, validation, and error recovery
Integrate agents with APIs, databases, enterprise systems, developer tools, and external services
Develop reliable tool-use and MCP-based integrations where appropriate
Build production-grade LLM applications using LangGraph, LangChain, or equivalent orchestration frameworks
Implement RAG, semantic search, vector retrieval, structured outputs, and other LLM application patterns
Establish observability, evaluation, monitoring, security, and guardrails for agentic applications
Provide technical leadership across AI-powered software products and platforms
Apply software engineering principles including system design, modular architecture, API design, scalability, reliability, testing, CI/CD, and maintainability
Build production-quality services and APIs using Python, FastAPI, Docker, Kubernetes, and cloud platforms
Collaborate with engineering, product, data, and client teams to translate business problems into scalable technical solutions
Conduct technical design reviews and mentor AI/software engineers
Establish engineering standards and best practices for AI and agentic applications
Lead Agentic AI initiatives and influence architecture and engineering decisions across teams
Prototype emerging technologies and transition successful approaches into reliable production solutions
Collaborate with clients and internal stakeholders to identify opportunities for measurable Agentic AI value 🎯 Requirements
6+ years of software engineering / AI engineering experience
Strong hands-on development experience and software engineering fundamentals
Experience building production-grade applications and services
Demonstrable experience building production-grade Agentic AI systems beyond simple chatbots or basic RAG applications
Strong understanding of Agentic Evaluation / Agent Evals
Experience creating evaluation datasets, test scenarios, metrics, automated regression tests, and quality gates
Ability to evaluate planning, tool use, reasoning trajectory, context handling, reliability, safety, latency, cost, and task completion
Strong hands-on experience with Python and modern backend/API development
Experience with LLMs, GenAI, agent orchestration, tool calling, and RAG
Experience with agent frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Google ADK, or equivalent
Strong understanding of multi-agent architectures, planning, reasoning, context management, tool use, memory, and agent execution
Experience with evaluation frameworks to measure and improve AI/agent performance
Experience with cloud, containers, CI/CD, APIs, databases, and production deployments
Strong understanding of software architecture, debugging, testing, scalability, and production engineering practices
Practical exposure to using AI agents as engineering tools within the SDLC
Experience with Claude Code / Claude Code Skills, PI, Hermes Agent, or comparable agentic development platforms is highly valuable
Experience with MCP and building MCP servers/tools is nice to have
Experience with Claude, GPT, Gemini, Llama, or other frontier models is nice to have
Experience with AWS, Azure, or GCP is nice to have
Experience with Kubernetes, Docker, CI/CD, and cloud-native architectures is nice to have
Experience with LLM observability and tracing is nice to have
Experience with Langfuse, Arize Phoenix, OpenTelemetry, or similar is nice to have
Experience implementing automated agent evaluations, regression testing, and quality gates is nice to have
Experience with distributed systems and scalable AI inference is nice to have
Experience in consulting/client-facing environments is nice to have Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs AI Engineer – Freelancer/Consultant 🕒 Yesterday Weekday 501 - 1000 👗 Fashion 🛒 Retail 🛍️ eCommerce Website LinkedIn All Job Openings AI Engineer building LLM, RAG, and agentic AI systems for a technology and internet client. Designing document intelligence pipelines and deploying scalable cloud AI services. 🇮🇳 India – Remote 💵 ₹500k - ₹3.5M / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer AWS Azure Django Google Cloud Platform Python AI Engineer, Freelancer/Consultant 🕒 Yesterday Weekday (YC W21) 11 - 50 💼 Consulting 👥 HR Tech ☁️ SaaS Website LinkedIn All Job Openings AI Engineer building LLM, RAG, and agentic AI systems for a Weekday client. Designing document intelligence pipelines and deploying scalable AI services across cloud platforms. 🇮🇳 India – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer AWS Azure Django Google Cloud Platform Python Applied AI Engineer 🕒 3 days ago Convatec 5001 - 10000 🏥 Healthcare 💼 Consulting 🍽️ Food & Beverage Website LinkedIn All Job Openings Applied AI Engineer building intelligent agents, workflows and automation with Microsoft AI technologies. Developing scalable solutions for Convatec’s chronic-care medical products business. 🇮🇳 India – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Azure Docker ETL GraphQL Kubernetes Python SQL Applied AI Engineer 🕒 3 days ago Simbian 11 - 50 🤖 Artificial Intelligence 🔒 Cybersecurity Website LinkedIn All Job Openings Applied AI Engineer building agentic cybersecurity systems at Simbian. Developing backend infrastructure, evaluations, and reliable LLM-powered workflows for security operations. 🇮🇳 India – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer AWS Azure Cyber Security Distributed Systems Docker Google Cloud Platform JavaScript Kubernetes Microservices Node.js Python Go Senior Applied AI Engineer 🕒 4 days ago phData 201 - 500 💼 Consulting 🏥 Healthcare 🏭 Manufacturing Website LinkedIn All Job Openings Senior Applied AI Engineer building production-ready agentic AI solutions for phData, a data and AI consultancy. Delivering RAG pipelines, multi-agent workflows, and enterprise integrations for measurable client outcomes. 🇮🇳 India – Remote 💰 $2.5M Seed Round on 2018-03 ⏰ Full Time 🟠 Senior 🤖 AI Engineer AWS Azure Cloud Open Source Python SQL View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates About us Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs