Responsibilities
- Design and orchestrate multi-agent workflows using planning, execution, retrieval, validation, reflection, routing, delegation, and human-approval patterns.
- Build advanced RAG systems, including ingestion, chunking, embeddings, metadata tagging, semantic indexing, retrieval, reranking, and evaluation.
- Develop autonomous task-execution engines with tool calling, API integrations, fallback strategies, validation, escalation controls, and memory systems.
- Deploy and scale foundation models and agent capabilities using AWS Bedrock, including Knowledge Bases, Agents, Guardrails, and model evaluations.
- Develop secure serverless workflows using AWS Lambda and AWS Step Functions.
- Implement LLMOps for prompt versioning, log streaming, latency tracking, quality measurement, evaluation, monitoring, and cost optimization.
- Create evaluation datasets and data pipelines to measure response quality, concept drift, data drift, and automated system scores.
- Apply security guardrails, prompt-injection prevention, access controls, identity management, secrets protection, least-privilege permissions, and safe tool execution.
- Translate complex business processes into deterministic, measurable, code-driven workflows.
- Review code and architecture, guide team members, document systems and operating procedures, and collaborate with product, engineering, data, security, and operations stakeholders.
- Design, develop, test, deploy, monitor, support, and continuously optimize production AI systems.
Requirements
- 3–5+ years of core software development, AI engineering, backend engineering, or related technical experience.
- At least 1–2 years of focused experience developing production-level LLM and agentic AI workflows.
- Expert Python development experience, including asynchronous backend APIs, production applications, agent tools, data pipelines, and evaluation utilities.
- Hands-on experience with AWS Bedrock, AWS EC2, AWS Lambda, AWS IAM, AWS VPC, and AWS Step Functions.
- Deep experience with agent orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or comparable technologies.
- Experience designing multi-agent systems, autonomous task-execution engines, memory systems, tool-calling workflows, secure API integrations, and human-in-the-loop processes.
- Experience with RAG architectures, embeddings, vector databases, semantic search, indexing, retrieval, reranking, and evaluation.
- Experience with Pinecone, OpenSearch, pgvector, Chroma, or comparable vector technologies.
- Experience working with structured and unstructured enterprise data, ingestion pipelines, metadata, access controls, evaluation datasets, and data-quality controls.
- Knowledge of AI security guardrails, prompt-injection handling, data alignment, access control, responsible AI, and safe tool execution.
- Experience with LLMOps, prompt versioning, monitoring, latency measurement, quality evaluation, cost tracking, and production 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.
- Preferred experience includes MCP ecosystems, open-source agent libraries, PEFT or LoRA fine-tuning, infrastructure as code, containerization, Kubernetes, CI/CD, model monitoring, experiment tracking, and distributed tracing.
- AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect certification is preferred.
Benefits
- Flexible workplace arrangements, mentoring, internal mobility, and learning and development programs are available.
- The company promotes an inclusive, equal-opportunity workplace and encourages applicants from diverse backgrounds.
- The role includes ongoing professional development through training, technical experimentation, open-source contribution, knowledge sharing, and continuous learning.
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.