Senior Lead Engineer

Job Description
Role Overview:
Join our dynamic product implementation services unit as an Agentic AI Specialist. You’ll contribute directly to the design, development, and deployment of agent-driven AI solutions for project management, software development, testing, and business automation. The role is ideal for a hands-on AI engineer with 6–8 years of total experience and demonstrated exposure to agentic AI, LLMs, enterprise automation, or intelligent workflow platforms.
Key Responsibilities:
Collaborate with senior engineers, architects, and business analysts to translate business needs into practical agentic AI workflows and interfaces.
Design and prototype autonomous AI agents for select use cases (e.g., sprint tracking, code review assistants, smart QA orchestration).
Implement agentic workflows and integrate LLMs, multi-agent frameworks (LangChain, CrewAI, Windsurf, AutoGen, etc.), and enterprise knowledge platforms (e.g., Glean, Copilot).
Build, test, and document agentic UI components and user experiences for business and technical stakeholders.
Support deployment, maintenance, and optimization of agentic AI solutions across services (including integration with project management tools, APIs, and cloud platforms).
Stay up to date with agentic AI trends, new toolkits, and patterns through technical research and experimentation.
Assist in developing best practices and reusable components for Agentic AI implementations.
Skills & Experience Required:
6–8 years in software engineering, AI/ML, automation, or related domains (with recent hands-on experience in agentic AI, multi-agent systems, or intelligent workflow solutions preferred).
Working knowledge of agentic AI development platforms (e.g., Windsurf, LangChain, AutoGen, CrewAI, Glean, or similar).
Experience implementing, testing, and maintaining Python-based agent scripts and workflows.
Exposure to LLM APIs (OpenAI, Google Vertex AI, etc.), knowledge management, and enterprise automation platforms.
Proficiency with modern APIs, workflow orchestration, and basic front-end frameworks (React/Vue is a plus).
Ability to document solutions and communicate technical concepts to both technical and business audiences.
Strong problem-solving, teamwork, and continuous learning orientation.
Preferred Qualifications:
Bachelor’s/Master’s in Computer Science, Data Science, AI, or related field.
Experience with workflow automation for project management, development, or QA/testing in enterprise environments.
Participation in open-source agentic AI projects, hackathons, or published work in AI/automation a plus.

Work arrangement
No