Senior Software Engineer - AI Platform

Ovii's Interpretation of the Role

Senior Software Engineer driving Tekion's AI‑native automotive platform. Owns the LLM control plane, builds APIs/SDKs, and scales classical ML pipelines to deliver real‑time dealer outcomes.

Role Snapshot

• Senior Software Engineer
• AI Platform
• LLM Control Plane Owner
• Large‑Scale ML & Data Platform
• Backend & Cloud‑Native Services

Must-Have Requirements

• Python
• Java/Scala/Go
• Microservices/API design
• REST/gRPC
• AWS
• Docker/Kubernetes
• Airflow/Kubeflow
• MLflow
• Distributed systems
• MLOps
• LLM control plane/gateway
• Agentic systems
• large‑scale data/ML platforms
• distributed systems
• production software engineering

Nice-to-Have Signals

• Platform‑as‑product mindset
• Cost‑aware building
• Vendor‑agnostic thinking
• Documentation & teaching
• Knowledge graphs (Neo4j, Neptune, TigerGraph)
• Vector search (pgvector, Qdrant, Milvus)
• platform‑as‑product mindset
• cost‑aware development

Work Setup

• Location: Bangalore, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Salary range
• Visa sponsorship
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Build and operate an LLM control plane/gateway with routing, rate‑limits, token/cost tracking, and multi‑vendor adapters.
• Ship unified REST and gRPC APIs and SDKs with normalized schemas, caching, and full observability.
• Enforce safety and privacy by default through content filtering, prompt validation, and PII redaction.
• Design and manage agent runtime, tool registry, function calling, and long‑running workflow orchestration.
• Enable training and scoring pipelines for classical ML models (XGBoost, LightGBM, deep models) and standardize experiment tracking.
• Create monitoring for model/data drift, automate retraining, and add human‑in‑the‑loop review.
• Evolve the domain graph, build reliable ingestion pipelines, and serve real‑time context to agents with access controls.
• Define SLOs, autoscaling, and cost controls; maintain model/agent registry, versioning, and audit trails.

Good Fit If You Have

• Platform‑as‑product mindset with focus on developer experience and clear SLAs.
• Cost‑aware builder who treats latency and dollars as first‑class metrics.
• Vendor‑agnostic thinker comfortable with multiple LLM providers.
• Enjoys teaching and documenting complex systems for cross‑team adoption.