Senior Engineering Manager
New
J
JobgetherAgentic AI
Based in IndiaFull-TimeManager
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- At least 12 years of software engineering experience, including a minimum of five years managing engineering teams
- Required Skills
- PythonFastAPIReact
Requirements
- At least 12 years of software engineering experience.
- At least five years managing engineering teams and delivering complex technical initiatives.
- Hands-on experience building or operating LLM-powered systems, including AI agents, retrieval-augmented generation (RAG), tool calling, and agent orchestration.
- Experience with agent orchestration frameworks such as LangGraph, AutoGen, or custom implementations.
- Proven experience implementing an AI-Driven Development Lifecycle (AIDLC) that replaced or substantially transformed traditional product and software development practices.
- Strong AWS knowledge, particularly Bedrock AgentCore, Step Functions, and Amazon States Language (ASL).
- Experience with harness engineering for building, testing, evaluating, and operating AI-powered systems.
- Knowledge of monitoring and tracing non-deterministic systems, evaluation harnesses, drift detection, regression testing, and performance monitoring.
- Practical backend development experience with Python and FastAPI.
- Working knowledge of React, Tailwind CSS, and Solstice, the JLL design system.
- Ability to design scalable systems, make architectural trade-offs, and deliver complex products in fast-moving environments.
- Experience coaching engineers, developing technical talent, establishing engineering standards, and building collaborative teams.
Responsibilities
- Lead, manage, and grow a team of 10–15 AI and Forward Deployed Engineers.
- Define technical direction for autonomous AI systems, including planning loops, memory management, tool calling, multi-agent coordination, orchestration, and safety guardrails.
- Oversee the design and implementation of greenfield AI systems for autonomous, multi-step workflows.
- Lead implementation of an AI-Driven Development Lifecycle across engineering and product delivery workflows.
- Establish monitoring, tracing, evaluation, and regression-detection strategies for non-deterministic AI systems.
- Define reliability, security, and safety standards, including sandboxing, human-in-the-loop checkpoints, and rollback strategies.
- Partner with product managers and stakeholders to turn ambiguous requirements into technical plans and deliverable AI-powered features.
- Guide architecture reviews, code reviews, technical problem-solving, and implementation decisions.
- Guide agentic AI development and deployment using AWS services, including Bedrock AgentCore and Step Functions.
- Develop engineering estimates, monitor delivery and system performance, identify risks, and communicate progress and trade-offs to senior leadership.
View Full Description & ApplyYou'll be redirected to the employer's site
