Senior Lead Engineer

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.