Senior Associate Developer (Generative AI) - Gen AI - Agent Engineer

*About Us:*Chryselys is a Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights. Who we are:People - Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies. Quality - Our goal is to deliver the value of a big five consulting company without the big five cost. Technology - Our solutions are Business centric built on cloud native technologies.

**How to Apply:**Ready to make an impact? Apply now by clicking [here] or visit our careers page at https://chryselys.com/chryselys-career/Please include your resume and a cover letter detailing why you're the perfect fit for this role.

**Equal Employment Opportunity:**Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. **Connect with Us:**Follow us for updates and more opportunities: https://www.linkedin.com/company/chryselys/mycompany/ Discover more about our team and culture: www.chryselys.com

• 3++ years of software engineering, ML or GenAI application development, with hands-on experience building and deploying LLM-powered agents and agentic workflows in production.
• Strong understanding of agent architecture, workflow orchestration, prompting, tool calling, structured outputs, planning/reasoning, RAG, memory and context management.
• Strong programming skills in Python and/or TypeScript, with experience building production-quality AI applications and services.
• Hands-on experience with LangGraph, LangChain, AWS and AWS AgentCore.
• Experience designing multi-agent workflows and agent interoperability using A2A and MCP.
• Strong focus on evaluation, tracing, observability, latency and performance optimization for AI/agentic systems.
• Experience implementing guardrails, security, human-in-the-loop (HITL) controls and reliable failure/recovery patterns.
• Familiarity with model routing, fine-tuning and model optimization preferred.