Senior AI Engineer – Chat & Agent Systems

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

Where this job comes from

Posted on Kantiv's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

Logo of Kantiv

Kantiv

51 - 200 employees

Founded 2022

🏗️ Construction

Construction

Kantiv is a software company that provides knowledge and pursuit intelligence tools for the Architecture, Engineering, and Construction (AEC) industry. Its product suite (including Kantiv Pursuit Intelligence, a Knowledge Graph, Image Management & Intelligence, and proposal-creation features) helps AEC firms capture and surface institutional knowledge, manage project imagery, and streamline creation of proposals and business-development materials. The website emphasizes solutions for proposal managers, marketing leaders, business development teams, and innovation leaders, and offers demos and enterprise-oriented workflows.

📋 Description

• Own the technical design and delivery of chat-team projects • Shape engineering priorities, standards, and day-to-day technical decisions • Translate product requirements into simple, maintainable system designs • Write production Python and remain involved in implementation • Design abstractions that reduce complexity without over-engineering • Review pull requests for correctness, maintainability, test coverage, and design quality • Guide junior developers in programming and system design • Diagnose production issues across application code, agent workflows, prompts, models, data, and infrastructure • Improve reliability, observability, latency, and cost of chat systems • Improve the team’s use of coding agents throughout the development lifecycle • Mentor engineers in agentic coding workflows • Lead initiatives that make the team faster and more AI-native

🎯 Requirements

• Approximately 4–5 years of professional software engineering experience • Strong proficiency in Python, including idiomatic, typed, testable, and maintainable production code • Strong programming fundamentals and sound engineering judgment • Experience designing, delivering, and operating production systems • Ability to create useful abstractions while keeping systems simple and understandable • Strong knowledge of API design, data modeling, concurrency, error handling, and observability • Experience writing effective automated tests with tools such as pytest • Ability to conduct deep code reviews and explain suggested changes • Experience mentoring junior developers • Experience building LLM or agentic applications is required • Experience with LangGraph or comparable agent frameworks, tool-calling, and multi-step workflows • Experience with conversation state, context management, execution flows, model APIs, structured outputs, retrieval, and grounding • Experience with streaming responses and asynchronous execution • Experience evaluating prompts, models, and end-to-end agent behavior • Experience with Langfuse, LangSmith, or similar observability platforms • Experience managing reliability, latency, and cost of production LLM systems • Power-user proficiency with agentic coding workflows • Ability to use coding agents for exploration, planning, implementation, testing, debugging, and review • Ability to evaluate generated code for correctness, security, maintainability, and unnecessary complexity • Ability to design accountable development workflows using agents and automation • Clear written and verbal communication

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