Lead, Agentic AI Engineer – Claude Code & Codex

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Blend360

WebsiteLinkedInAll 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.

📋 Description

• Design and develop LLM-powered autonomous and semi-autonomous agents for complex, multi-step workflows • Build agent workflows using LangGraph, LangChain, Semantic Kernel, AutoGen, or similar technologies • Implement planning, task decomposition, tool selection, execution, observation, retry, and validation loops • Integrate agents with enterprise applications, APIs, databases, developer tools, and SaaS platforms • Design context-engineering strategies and AI agent harnesses managing state, tools, permissions, workflows, guardrails, retries, and verification • Engineer repository and application context for AI coding agents such as Claude Code and OpenAI Codex • Develop MCP servers and secure tool-calling mechanisms with authentication, authorization, permissions, and human approvals • Integrate and orchestrate commercial and open-source LLMs for reasoning, planning, generation, and task execution • Implement prompt engineering, structured outputs, function/tool calling, model routing, fallback strategies, and RAG • Design agent evaluation frameworks and automated LLM-as-a-Judge evaluation pipelines • Build regression testing, validation, guardrails, error handling, retry mechanisms, and human-in-the-loop controls • Develop production-grade AI services using Python and FastAPI or similar frameworks • Deploy and operate agentic applications in cloud and enterprise environments • Design scalable architectures for concurrent users, long-running workflows, and complex tool execution • Implement caching, inference optimization, asynchronous processing, parallel execution, and cost optimization • Integrate AI applications with CI/CD, monitoring, logging, tracing, and observability platforms • Translate business and product requirements into secure, scalable agentic AI solutions with measurable impact • Collaborate with product managers, software engineers, data scientists, architects, and business stakeholders

🎯 Requirements

• 5–10 years of experience in Data Science, AI/ML, or Software Engineering • At least 2 years of experience in Generative AI and Agentic AI • Hands-on experience building production-grade AI applications and agentic systems • Strong Python development skills • Experience building APIs and AI services with FastAPI or similar frameworks • Experience in context engineering and AI agent harness engineering • Experience with AI coding agents such as Claude Code, OpenAI Codex, or similar platforms • Hands-on experience with A2A and MCP, including developing or integrating MCP servers • Experience connecting agents with enterprise tools, APIs, databases, and SaaS platforms • Hands-on experience with LLMs, agent orchestration, and multi-step/multi-agent workflows • Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent technologies • Understanding of agent architecture, tool/function calling, planning, task decomposition, state/memory management, dynamic tool invocation, and workflow orchestration • Experience with RAG, embeddings, vector databases, semantic search, chunking, reranking, and grounding • Knowledge of LLM-as-a-Judge and automated GenAI evaluation • Strong software engineering and cloud experience • Experience with Git, CI/CD, Docker, databases/SQL, and AWS/Azure/GCP • Familiarity with asynchronous programming, parallel processing, observability, and distributed systems • Understanding of LLM performance and production optimization, including hallucination mitigation, context windows, token usage, latency, caching, cost optimization, and monitoring • Demonstrated ability to build secure, scalable, production-ready AI solutions with measurable business impact beyond POCs

🏖️ Benefits

• Competitive salary • Dynamic career growth opportunities • Mentorship and experiences to accelerate your career • Idea Tanks for pitching, experimenting, and collaborating on ideas • Growth Chats with experienced colleagues • Variety of snacks in the Snack Zone • Recognition and rewards through Hive-Fives, shoutouts, and reward programs • Company-sponsored certifications in AI, Data Science, Cloud, and Analytics technologies