{"schemaVersion":"jobsearcher.job.v1","id":"e72354b63325832e7dfeef9b","url":"https://jobsearcher.com/jobs/e72354b63325832e7dfeef9b","canonicalUrl":"https://jobsearcher.com/jobs/e72354b63325832e7dfeef9b","title":"Senior AI/ML Software Engineer","description":"Senior AI/ML Software Engineer\r\nPeraton Labs is seeking a Senior AI/ML Software Engineer to join the Labs Agentic AI team, you'll design, build, and ship AI-powered systems a compliance-ready, low-code platform for dynamically generating and orchestrating AI agentic workflows. You'll work across the full product lifecycle: from architecting multi-step agentic pipelines backed by Temporal.io, to building the plugin system, APIs, and interfaces that bring them to life, from within federal-grade security and accreditation constraints.\r\nThis is a role for someone who thinks deeply about how AI agents should behave in high-trust environments, cares about reliability and auditability, and can move fluidly between distributed orchestration, backend systems, and product-facing features.\r\nResponsibilities\r\nDesign and implement agentic AI capabilities using Python-based frameworks (LangChain, LangGraph, DeepAgents) and orchestrated workflows\r\nBuild and maintain integrations with LLM APIs (Anthropic/Claude, OpenAI, AWS Bedrock, Ollama) to power intelligent, multi-step automations\r\nDevelop full-stack product features (FastAPI + React) that surface AI capabilities to users – from REST APIs and streaming interfaces to workflow builders and dashboards\r\nInstrument agent pipelines with OpenTelemetry tracing, provenance audit trails, and observability tooling for debugging and performance evaluation\r\nWrite clear, well-tested, maintainable code that passes strict pre-commit validation, and contribute to engineering standards in a compliance-driven environment\r\nEvaluate agent performance, debug distributed workflows, and continuously improve reliability and output quality\r\nQualifications\r\nMinimum Requirements\r\nMinimum of a BS degree with 12 years of experience, MS degree with 10 years, or PhD with 7 years with meaningful exposure to AI/ML systems or LLM-based products\r\nHands-on experience building agentic systems using multi-step reasoning, tool use, RAG pipelines, or autonomous task execution\r\nStrong Python skills (3.12+); comfort with async/await patterns, type hints, and modern Python tooling\r\nExperience with workflow or task orchestration systems (Airflow, Prefect, Celery, or similar distributed execution frameworks)\r\nFamiliarity with agentic frameworks and an understanding of the underlying concepts (chains, tool calling, agent loops) that transfer across tools\r\nExperience working with LLM APIs (OpenAI, Anthropic, AWS Bedrock, or similar)\r\nComfort working across the stack: FastAPI/Python backends, React frontends, Docker containerization, and PostgreSQL\r\nA product mindset: you think about the end user, not just the technical implementation\r\nComfort operating with some ambiguity in a fast-moving environment\r\nUS Citizenship is a requirement for this position\r\nDesired Additional Experience\r\nExperience with workflow orchestration frameworks for workflow/activity patterns, task queues, worker lifecycle management\r\nFamiliarity with federal compliance environments: FedRAMP, FIPS 140-2/3, IronBank container hardening, OPA policy enforcement, or Section 508 accessibility\r\nExperience building plugin or extension systems: dynamic code loading, container isolation, API mixin patterns\r\nExposure to orchestration patterns: supervisor agents, parallel tool calls, human-in-the-loop flows, DAG-based pipeline execution\r\nExperience with observability tooling: OpenTelemetry, Jaeger, Prometheus, Grafana, or similar distributed tracing/metrics stacks\r\nFamiliarity with prompt engineering, evaluation frameworks, or agent observability\r\nExperience with container orchestration (Docker SDK, Kubernetes) and distributed storage (S3, MinIO, JuiceFS)\r\nPrior work building internal tooling, enterprise automation products, or platforms for government customers\r\nTarget Salary Range\r\n$146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.\r\nEEO\r\nEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.\r\nJ-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Basking Ridge","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:46:04.618Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior AI/ML Software Engineer","description":"Senior AI/ML Software Engineer\r\nPeraton Labs is seeking a Senior AI/ML Software Engineer to join the Labs Agentic AI team, you'll design, build, and ship AI-powered systems a compliance-ready, low-code platform for dynamically generating and orchestrating AI agentic workflows. You'll work across the full product lifecycle: from architecting multi-step agentic pipelines backed by Temporal.io, to building the plugin system, APIs, and interfaces that bring them to life, from within federal-grade security and accreditation constraints.\r\nThis is a role for someone who thinks deeply about how AI agents should behave in high-trust environments, cares about reliability and auditability, and can move fluidly between distributed orchestration, backend systems, and product-facing features.\r\nResponsibilities\r\nDesign and implement agentic AI capabilities using Python-based frameworks (LangChain, LangGraph, DeepAgents) and orchestrated workflows\r\nBuild and maintain integrations with LLM APIs (Anthropic/Claude, OpenAI, AWS Bedrock, Ollama) to power intelligent, multi-step automations\r\nDevelop full-stack product features (FastAPI + React) that surface AI capabilities to users – from REST APIs and streaming interfaces to workflow builders and dashboards\r\nInstrument agent pipelines with OpenTelemetry tracing, provenance audit trails, and observability tooling for debugging and performance evaluation\r\nWrite clear, well-tested, maintainable code that passes strict pre-commit validation, and contribute to engineering standards in a compliance-driven environment\r\nEvaluate agent performance, debug distributed workflows, and continuously improve reliability and output quality\r\nQualifications\r\nMinimum Requirements\r\nMinimum of a BS degree with 12 years of experience, MS degree with 10 years, or PhD with 7 years with meaningful exposure to AI/ML systems or LLM-based products\r\nHands-on experience building agentic systems using multi-step reasoning, tool use, RAG pipelines, or autonomous task execution\r\nStrong Python skills (3.12+); comfort with async/await patterns, type hints, and modern Python tooling\r\nExperience with workflow or task orchestration systems (Airflow, Prefect, Celery, or similar distributed execution frameworks)\r\nFamiliarity with agentic frameworks and an understanding of the underlying concepts (chains, tool calling, agent loops) that transfer across tools\r\nExperience working with LLM APIs (OpenAI, Anthropic, AWS Bedrock, or similar)\r\nComfort working across the stack: FastAPI/Python backends, React frontends, Docker containerization, and PostgreSQL\r\nA product mindset: you think about the end user, not just the technical implementation\r\nComfort operating with some ambiguity in a fast-moving environment\r\nUS Citizenship is a requirement for this position\r\nDesired Additional Experience\r\nExperience with workflow orchestration frameworks for workflow/activity patterns, task queues, worker lifecycle management\r\nFamiliarity with federal compliance environments: FedRAMP, FIPS 140-2/3, IronBank container hardening, OPA policy enforcement, or Section 508 accessibility\r\nExperience building plugin or extension systems: dynamic code loading, container isolation, API mixin patterns\r\nExposure to orchestration patterns: supervisor agents, parallel tool calls, human-in-the-loop flows, DAG-based pipeline execution\r\nExperience with observability tooling: OpenTelemetry, Jaeger, Prometheus, Grafana, or similar distributed tracing/metrics stacks\r\nFamiliarity with prompt engineering, evaluation frameworks, or agent observability\r\nExperience with container orchestration (Docker SDK, Kubernetes) and distributed storage (S3, MinIO, JuiceFS)\r\nPrior work building internal tooling, enterprise automation products, or platforms for government customers\r\nTarget Salary Range\r\n$146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.\r\nEEO\r\nEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:46:04.618Z","dateModified":"2026-08-08T01:46:04.618Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Basking Ridge","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e72354b63325832e7dfeef9b"},"url":"https://jobsearcher.com/jobs/e72354b63325832e7dfeef9b"}}