Developer AI and Automation

Key Responsibilities:

• Design and develop Agentic AI systems using LLMs and multi-agent frameworks to drive autonomous decision-making and task execution.

• Build scalable automation solutions to streamline manual processes and improve operational efficiency.

• Proactively identify and assess opportunities for AI and automation through close collaboration with business and technical stakeholders.

• Integrate AI-driven solutions with enterprise systems (e.g., JIRA, SharePoint, ServiceNow) via APIs and cloud platforms.

• Lead the full development lifecycle – from concept and POC to deployment and optimization.

• Translate complex requirements into scalable technical architectures.

• Stay current on advancements in GenAI, Agentic AI, and intelligent automation to continuously evolve solution capabilities.

Required Skills:

• Strong programming background (Python required; JavaScript/TypeScript or other languages a plus).

• Hands-on experience in developing GenAI/LLM-based applications.

• Knowledge of agent frameworks (e.g., LangChain Agents, OpenAI Agents, AutoGen).

• Experience building automation workflows using RPA tools, scripting, or custom logic.

• Familiarity with RAG (Retrieval-Augmented Generation), vector databases, and enterprise data systems.

• Strong problem-solving skills and ability to communicate technical concepts clearly.

• Project management experience with an Agile mindset.

Education & Experience Recommended
• Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 5-7 years of work experience, preferably in computer programming languages, agile development methodology, or a related field.

• - Experience integrating AI with enterprise tools (e.g., JIRA, Salesforce, SharePoint).
• Exposure to cloud platforms
  • Prior experience leading discovery workshops or assessments for AI/automation opportunities.