Responsibilities
- Design and orchestrate multi-agent workflows with planning, execution, retrieval, validation, reflection, routing, tool calling, and human-in-the-loop patterns.
- Build production Python applications, asynchronous backend APIs, data-ingestion pipelines, RAG systems, memory systems, and evaluation utilities.
- Deploy and scale foundation models and agent workflows using AWS Bedrock, Lambda, Step Functions, and related AWS services.
- Develop semantic search and vector retrieval systems with embeddings, chunking, metadata tagging, indexing, reranking, and evaluation pipelines.
- Implement LLMOps practices for prompt versioning, logging, latency tracking, quality measurement, monitoring, and cost optimization.
- Apply AI security controls addressing prompt injection, data leakage, unauthorized tool use, access control, secrets protection, and unsafe outputs.
- Translate business processes into deterministic workflows and collaborate with product, engineering, data, security, and operations teams.
- Participate in architecture discussions, code reviews, testing, documentation, troubleshooting, technical guidance, and production support.
Requirements
- Expert Python proficiency and hands-on experience with asynchronous backend APIs using FastAPI, Flask, or equivalent frameworks.
- 3–5+ years of core software development, AI engineering, backend engineering, or related technical experience, including 1–2 years of production-level LLM and agentic AI work.
- Experience designing multi-agent systems, autonomous task-execution engines, memory systems, tool-calling workflows, secure API integrations, and RAG architectures.
- Experience with AWS Bedrock, including foundation models, Knowledge Bases, Agents, Guardrails, and custom model evaluations.
- Experience with AWS EC2, Lambda, IAM, VPCs, and Step Functions, plus secure and scalable cloud architecture.
- Experience with LangGraph, CrewAI, AutoGen, Semantic Kernel, or comparable orchestration frameworks.
- Experience with vector databases and semantic search technologies such as Pinecone, OpenSearch, pgvector, and Chroma.
- Knowledge of embeddings, retrieval, reranking, metadata, indexing, evaluation datasets, data drift, concept drift, and data-quality controls.
- Knowledge of AI security guardrails, prompt-injection handling, data protection, least-privilege access, safe tool execution, and responsible AI practices.
- Experience with Git, code reviews, automated testing, technical documentation, deployment, monitoring, and production lifecycle support.
- Bachelor’s or master’s degree in computer science, information technology, engineering, artificial intelligence, or a related field; equivalent practical experience may be considered.
- AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect certification is preferred.
- Preferred experience includes MCP ecosystems, PEFT or LoRA fine-tuning, model monitoring, CI/CD, infrastructure as code, containers, Kubernetes, observability, and enterprise or regulated AI delivery.
Benefits
- Flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and ongoing professional development are offered.
- The employer describes an inclusive equal opportunity workplace and encourages applicants from diverse backgrounds.
Tech Stack
Categories
About Synechron
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Synechron Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,000+, and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website:www.synechron.com.