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Synechron

Generative AI Engineer, Python, Large Language Models, Multi-Agent Systems, Cloud Deployment

Synechron

Generative AI Engineer developing advanced AI agents using AWS and Python at Synechron. Leading cross-functional collaboration to enhance enterprise automation and operational insights.

Posted 5/28/2026full-timeBengaluru • 🇮🇳 IndiaJuniorMid-LevelWebsite

Tech Stack

Tools & technologies
AWSCloud

About the role

Key responsibilities & impact
  • Lead the development of advanced AI agents leveraging AWS Strands SDK, Bedrock AgentCore SDK, and CrewAI, supporting enterprise automation and operational AI use cases
  • Develop and execute complex agent logic, troubleshooting workflows, and performance evaluations
  • Collaborate with cross-functional teams to convert business requirements into scalable, multi-agent AI solutions supporting automation and data-driven insights
  • Design and optimize agent behaviors to support resilience, security, and operational efficiency
  • Support the integration of domain-specific data pipelines, external APIs, and observability tools supporting accountability and transparency
  • Innovate with prompt engineering, model tuning, and retrieval-augmented generation (RAG) strategies to support operational and decision-making needs
  • Enable continuous improvement by evaluating emerging AI frameworks, supporting deployment, and monitoring agent performance in production environments
  • Maintain comprehensive documentation on agent architecture, workflows, and operational metrics supporting compliance and scalability

Requirements

What you’ll need
  • 2+ years of hands-on experience building, deploying, and optimizing AI agents, especially within enterprise environments supporting regulated industries (financial, healthcare)
  • Proven experience supporting multi-agent systems, prompt engineering, and retrieval-augmented generation (preferred)
  • Support experience with cloud-native deployment, automation pipelines, and real-time monitoring
  • Demonstrated ability to troubleshoot complex AI workflows, model performance issues, and system failures supporting operational resilience
  • Bachelor’s or Master’s degree in Data Science, Computer Science, AI, or related fields
  • Certifications supporting AI frameworks, cloud deployment, or ethical AI practices (preferred)

Benefits

Comp & perks
  • Flexible workplace arrangements
  • Mentoring
  • Internal mobility
  • Learning and development programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AI agentsAWS Strands SDKBedrock AgentCore SDKCrewAIprompt engineeringmodel tuningretrieval-augmented generationautomation pipelinestroubleshooting workflowsperformance evaluations
Soft Skills
collaborationproblem-solvingcommunicationinnovationcontinuous improvement
Certifications
AI frameworks certificationcloud deployment certificationethical AI practices certification