{"id":82628,"url":"https://alion.io/job/tekion-staff-software-engineer-ai-engineer-2","title":"Staff Software Engineer - AI Engineer","company":{"id":804,"name":"Tekion","domain":"tekion.com","url":"https://alion.io/company/tekion","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":81,"open_postings":12,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":88000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"gRPC","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Hybrid Search","optional":false},{"name":"LightGBM","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Structured Outputs","optional":false},{"name":"XGBoost","optional":false},{"name":"A/B Testing","optional":true},{"name":"Amazon Neptune","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Flink","optional":true},{"name":"Go","optional":true},{"name":"GraphQL","optional":true},{"name":"Java","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Kubeflow","optional":true},{"name":"Kubernetes","optional":true},{"name":"Milvus","optional":true},{"name":"MLFlow","optional":true},{"name":"Neo4j","optional":true},{"name":"pgvector","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Python","optional":true},{"name":"Qdrant","optional":true},{"name":"Scala","optional":true},{"name":"Spark","optional":true},{"name":"Tool Use","optional":true}],"status":"live","first_seen_at":"2026-07-09T12:10:31Z","employer_posted_date":"2026-07-09","last_verified_at":"2026-10-17T13:53:36Z","board_verified":true,"closed_at":null,"days_open":100,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":100},"description":"About Tekion:\nPositively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.\nAbout Tekion:\nPositively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.\nWhy This Role Matters\nThis role powers Tekion’s AI-native, end-to-end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real-time intelligence. You’ll operationalize a graph-based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost-efficient, multi-provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.\nWhat Makes This Opportunity Unique\nThis role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end-to-end ownership of an LLM control plane and gateway that serve multi-tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context-aware agents and retrieval-augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue. You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models .\nResponsibilities\nBuild and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking.\n\nShip a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics).\n\nEnforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction.\n\nEnable multi-model, multi-vendor use LLMs with automated canarying and versioning.\n\nOwn the agent runtime: tool registry, permissions, function calling, grounding, and retrieval.\n\nDesign orchestration patterns (sequential, planner-executor, streaming) and manage agent state and long-running workflows.\n\nEnabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging.\n\nCreate components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance.\n\nAdd human-in-the-loop review and safe-actioning before agents touch dealer systems.\n\nEvolve the domain graph and entity resolution; build reliable data ingestion pipelines.\n\nServe real-time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage.\n\nPower retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost.\n\nRun continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity.\n\nDefine SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls.\n\nMaintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed.\n\nProvide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices.\n\nDesired Skills & Experience\n8+ years building large-scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems).\n\nProduction experience with Python plus one of Java/Scala/Go; microservices and API design.\n\nMLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka).\n\nCloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi-tenant SaaS.\n\nPractical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user-facing workflows.\n\nBuilt or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate-limit, cost and token accounting.\n\nAgentic systems: tool use/function calling, orchestration frameworks, human-in-the-loop, safety/guardrails, and online evaluation/telemetry.\n\nGraph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns.\n\nPreferred Mindset\nPlatform-as-product: obsess over developer experience, paved roads, and clear SLAs.\n\nThinks in systems - observability, fallback, access control are core, not afterthoughts.\n\nPassionate about AI - enjoys enabling real-world LLM and agentic use cases.\n\nCost-aware builder: you treat latency and dollars as first-class metrics and design for graceful degradation.\n\nVendor-agnostic thinker: choose the right model/provider per use case; build for portability and resilience.\n\nDocumentation and teaching: you make complex systems understandable; you uplevel teams.\n\nCurrent Tekion Employees: Please apply via the Internal Job Board in Ashby\nNote: Tekion recently transitioned to a new recruiting tool and we appreciate your patience and feedback as we adjust to our new system!\nTekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.\nFor more information on our privacy practices, please refer to our Applicant Privacy Notice here.","description_format":"text","description_chars":8142,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Automotive Software"],"lifecycle":[{"event":"open","at":"2026-07-09T12:10:31Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.47,"p_room":0.28,"age_days":99,"expected_fill_days":48,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/tekion-staff-software-engineer-ai-engineer-2","json_url":"https://alion.io/job/tekion-staff-software-engineer-ai-engineer-2.json","meta":{"generated_at":"2026-10-17T14:21:01Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":19307,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":804},"rest":"https://alion.io/mcp/rest/get_company?id=804"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftekion-staff-software-engineer-ai-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftekion-staff-software-engineer-ai-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftekion-staff-software-engineer-ai-engineer-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/tekion-staff-software-engineer-ai-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftekion-staff-software-engineer-ai-engineer-2"}]}