{"id":2497613,"url":"https://alion.io/job/drivenets-ai-platform-software-engineer","title":"AI Platform Software Engineer","company":{"id":1990259,"name":"DriveNets","domain":"drivenets.com","url":"https://alion.io/company/drivenets","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tel Aviv, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":91000,"max_usd":235000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2102},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"CrewAI","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Google ADK","optional":false},{"name":"gRPC","optional":false},{"name":"Incident Management","optional":false},{"name":"Kubernetes","optional":false},{"name":"Langfuse","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"Ansible","optional":true},{"name":"Arize Phoenix","optional":true},{"name":"Configuration Management","optional":true},{"name":"LangChain","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-06T08:29:00Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-18T03:56:46Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Description\n#Hybrid\nDriveNets is a leader in high-scale disaggregated networking solutions. Founded in 2015, DriveNets modernizes the way service providers, cloud providers, and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&T's backbone traffic is running on DriveNets' Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, DriveNets is disrupting the networking market from high-scale architecture to AI platforms, and is bringing onboard the most talented people. We are seeking people that want to make an impact on the world's leading communication networks and are experienced in networking architecture or AI infrastructure solutions.\nJob Summary\nWe are looking for a talented and motivated Software Engineer with hands-on experience building and operating multi-agent AI systems in production to join our DriveNets Automation Platform (DAP) team.\nThe team develops automation tools, orchestration capabilities, and intelligent platforms that simplify the deployment, management, troubleshooting, and optimization of large-scale network and AI infrastructure environments.\nYou will work on the design and development of AI-powered systems that bridge networking, automation, observability, and distributed infrastructure - running on Kubernetes at scale. Our stack includes LangGraph, Langfuse, RAG pipelines, MCP, and agent-to-agent (A2A) communication patterns.\nThis role combines strong software engineering with practical AI application development, with a sharp focus on production hardening, tracing, evaluation, and safety of agentic systems - not model training or research prototypes.\nRequirements\n8+ years of hands-on software engineering experience building production-grade backend services, APIs, or AI-powered systems.\nProven production experience with multi-agent AI systems: deployment, tracing, guardrails, hardening, and incident management.\nHands-on experience with agentic frameworks such as LangGraph, CrewAI, Google ADK, AutoGen, or equivalent.\nExperience building and running evaluation pipelines for agentic solutions - including trajectory tracing, ground truth validation, and harshness/quality scoring.\nStrong Python proficiency: comfortable building scalable backend services using gRPC and REST APIs.\nSolid understanding of distributed systems: fault tolerance, consistency models, service communication, and operational challenges at scale.\nHands-on Kubernetes experience: deploying and operating containerized services, managing workloads, config, and scaling in production clusters.\nPractical experience with embeddings, vector databases, and semantic retrieval systems in production.\nPractical experience with RAG pipelines, LLM API integration, structured outputs, and tool calling in production environments including building and serving MCP servers at scale.\nWorking knowledge of SQL and/or NoSQL databases, schema design, and query optimization.\nStrong debugging skills across application logic, APIs, data, and AI agent behavior.\nStrong communication skills and a bias toward ownership and delivery.\nNice to Have\nFamiliarity with Langfuse/Arize Pheonix.\nFamilarity with A2A & A2UI protocols.\nExperience with network automation, orchestration, or configuration management (Ansible, Terraform, NETCONF, gNMI, or similar).\nDriveNets is on a mission to build a special company comprised of individuals with diverse backgrounds, perspectives, and experiences.\nDriveNets is an equal opportunity employer. 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