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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, Agentic Platform - **Company:** Epiq - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $175,000.0 - $245,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Software as a Service, Software Design Documents, Software Design Patterns, Python (Programming Language), Knowledge Management, PostgreSQL, Performance Tuning, RabbitMQ, Prometheus, Software Engineering, Apache Solr, Management of Software Versions, Datadog, Qdrant, Retrieval-Augmented Generation, Large Language Models, Grafana, Generative AI, Backend, Agentic-AI, Kubernetes, Data Pipelines, Docker - **Published:** October 27, 2026 - **Apply:** https://www.jofdav.com/jobs/60101112-senior-software-engineer-agentic-platform ## About the Role * 5+ years of software-engineering experience with demonstrated depth in backend, distributed, or AI systems. * Demonstrated experience delivering and operating LLM-based applications in production at scale, beyond prototypes or proofs of concept. * Demonstrated experience with agentic architectures and orchestration frameworks. * Demonstrated experience with retrieval-augmented generation systems at scale. * Strong production-level proficiency in Python. * Demonstrated experience evaluating agentic-system accuracy and performance. * Experience designing services and APIs consumed by other engineering teams. * Experience with observability tooling such as Prometheus, Grafana, or OpenTelemetry. * Experience operating in containerized cloud environments. * Strong system-design and architecture experience, including production of technical design documents. * Excellent written and verbal communication, including the ability to work effectively with non-technical domain experts and stakeholders. * Demonstrated proficiency using AI tools in software development., * Experience with fine-tuning, model adaptation, or systematic evaluation across model families. * Experience with large-scale data pipelines or document-processing systems. * Experience with multi-tenant SaaS architectures and data-isolation requirements. * Experience in a startup or scale-up engineering environment. * Experience in legal technology, enterprise workflow, or knowledge-management systems., Must be authorized to work in the United States for any employer. ## Description * Design the agentic platform used by other teams, including orchestration, tool registration and permissioning, durable state and memory, sandboxing, and trace-level observability. * Build agent workflows with multi-step reasoning, tool use, human-in-the-loop checkpoints, and recovery from partial failure during long-running execution. * Evaluate developments in model capabilities, agent-design patterns, and evaluation practices, and translate them into platform architecture. * Design retrieval-augmented generation systems with hybrid search over legal corpora and citation grounding to specific sources. * Build evaluation infrastructure, including golden datasets, regression harnesses, and offline and online evaluation loops. * Establish model-operations practices for routing, latency and cost budgets, prompt and context versioning, caching, and production reliability. * Build scalable backend services and APIs; produce technical design documentation; partner with product, research, security, and legal domain experts; and strengthen engineering standards., Python · LLM APIs and agent frameworks · Qdrant · Solr · PostgreSQL · RabbitMQ · Azure · Kubernetes · Docker · Prometheus · Grafana · OpenTelemetry., Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success. * Build trust-based partnerships * Nurture long-term relationships * Remove collaboration barriers * Celebrate cross-team success Engages & Influences Inspires action and alignment through clear communication, purposeful influence, and a compelling vision. * Use storytelling to build buy-in * Align communication with organizational goals * Guild alignment through strong engagement Maximizes Performance Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq's goals. * Use data to identify improvement opportunities * Make informed decisions * Align team goals with boarder strategy * Empower teams to manage their own goals * Translate vision into clear priorities * Prepare for disruptions with strong change management Achieves Operational Success Drives continuous improvement and operational excellence through smart processes, data insights, and quality execution. * Improve workflows for team efficiency * Use clear documentation and expectations * Resolve issues quickly using data and feedback It is Epiq's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual's race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.