Agentic AI Developer

Role Summary

We are seeking a highly skilled Agentic AI Developer with 5 years of experience in  deign develop and deploy intelligent AI solutions that drive business transformation and innovation. The ideal candidate will have strong expertise in Generative AI Large Language Models (LLMs) AI agent frameworks and modern software engineering practices. This role requires hands-on experience in building scalable secure and production-ready AI systems aligned with enterprise objectives.

Key Responsibilities

• Design develop and implement AI agents for enterprise business use cases.
• Build intelligent workflows leveraging LLMs tools APIs memory management and human-in-the-loop approval mechanisms.
• Develop Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories and structured/unstructured data sources.
• Integrate AI solutions with enterprise applications databases APIs and knowledge management systems.
• Create and maintain reusable prompts tools templates and workflow components.
• Evaluate AI solutions for accuracy reliability safety latency scalability and cost efficiency.
• Apply machine learning techniques and statistical methods where appropriate.
• Deploy monitor troubleshoot and continuously optimize AI applications in production environments.
• Ensure compliance with security privacy governance and Responsible AI standards.
• Collaborate closely with architects developers product owners and business stakeholders to deliver innovative AI solutions.
• Contribute to AI solution architecture technical design and best practice frameworks.

Required Skills & Experience

Primary Skills

• Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science Information Technology or a related field.
• 5 years of experience in software development AI solution design or enterprise application development.
• Strong programming expertise in Python.
• Hands-on experience with Generative AI Large Language Models (LLMs) and AI application development.
• Experience designing and building AI Agents autonomous workflows and multi-agent systems.
• Strong understanding of Retrieval-Augmented Generation (RAG) architectures.
• Experience with embeddings vector databases semantic search and knowledge retrieval systems.
• Solid understanding of machine learning concepts model evaluation and statistical techniques.
• Experience working with REST APIs databases Git testing frameworks and CI/CD pipelines.
• Knowledge of cloud platforms such as Azure AWS or Google Cloud Platform.
• Experience with Docker containerization and enterprise integrations.
• Strong analytical problem-solving and troubleshooting skills.
• Excellent verbal and written communication skills.

Secondary Skills (Good to Have)

• Experience with AI orchestration frameworks such as:
  • LangGraph
  • LangChain
  • Semantic Kernel
  • AutoGen
  • CrewAI
• Experience with workflow orchestration platforms such as Temporal.
• Knowledge of Model Context Protocol (MCP).
• Experience with AI observability evaluation frameworks guardrails and responsible AI implementation.
• Familiarity with prompt engineering agent memory management and tool-calling architectures.
• Experience integrating AI solutions with enterprise platforms such as:
  • SharePoint
  • Jira
  • ServiceNow
  • Microsoft Teams
  • SAP
• Knowledge of MLOps and AI deployment best practices.
• Experience working in telecom manufacturing automotive or large-scale enterprise environments.

Nice to Have

• Microsoft Azure AI certifications or equivalent AI certifications.
• Experience with Fine-Tuning Prompt Optimization and AI Governance frameworks.
• Exposure to Knowledge Graphs and Graph-based RAG architectures.
• Experience with multi-modal AI applications involving text image and document intelligence.
• Contribution to open-source AI projects or communities.

Additional Information :

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Remote Work :

No

Employment Type :

Full-time