Senior Python Engineer
Ciklum is looking for a Senior Python Engineer to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Senior Python Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. You will own the technical implementation of the platform's orchestration layer. You will build the lightweight Python SDK that serves as the primary interface between domain-specific agents (like Lease Abstraction and CAM Reconciliation) and core platform services. Your work will ensure that agents operate within secure, ephemeral sandboxes (Firecracker MicroVMs) while enforcing strict multi-tenant isolation and identity management via WorkOS. Responsibilities: Platform Control Plane & AI Gateway: Architect and maintain the central platform Control Plane and API Gateway using FastAPI, handling critical functions such as LLM routing, telemetry, and per-tenant cost metering Agentic SDK Engineering: Lead the development of the Tango Python SDK, abstracting complex LLM routing and providing a standardized interface for "Human-in-the-Loop" (HITL) escalations and agent overrides Durable Workflow Orchestration: Implement and manage long-running, multi-stage agentic workflows using Temporal to ensure reliable execution of complex real estate processes Multi-Tenant Backend Services: Build scalable, secure RESTful APIs for the Admin Console, managing complex CRUD operations and ensuring strict logical data isolation across tenants Infrastructure & Security Integration: Collaborate with DevSecOps to deploy backend services via Kubernetes and integrate WorkOS for B2B identity, SSO, and fine-grained Role-Based Access Control (RBAC) Data Architecture & MCP: Interface with specialized data stores including PostgreSQL, GraphDB (Neo4j), and Vector Databases (ChromaDB) using the Model Context Protocol (MCP) to ensure agents consume data securely without direct database access LLM Gateway & Cost Controls: Develop and operate the LLM gateway layer (LiteLLM): provider routing and failover (AWS Bedrock, Anthropic), rate limiting, token budget enforcement, runaway-loop kill-switches, and per-run/per-tenant cost metering Production Operations: Participate in SLO definition, incident response, and DR runbook authoring; design for RTO/RPO targets from day one rather than retrofitting Data & Ingestion Pipelines: Build document ingestion pipelines (S3, queues, OCR handoff), schema evolution, and the data contracts through which agents consume tenant data securely , including integration with the client's existing data warehouse and Java/Spring Boot estate Identity & Access Integration: Integrate WorkOS for agent identity, on-behalf-of (OBO) user flows, SSO/SCIM for enterprise tenants, and audit-grade attribution of every agent action and tool call Requirements: Backend Mastery: Expert-level proficiency in Python and FastAPI; significant experience building scalable, production-grade RESTful APIs and microservices AI Ecosystem & Agentic Intelligence: Deep experience with LangChain and LangSmith; proven track record building multi-step reasoning chains and tool-use protocols for autonomous agents Cloud & Infrastructure: Strong experience with AWS (Bedrock, ECS, S3) and containerization (Docker/Kubernetes). Understanding of Firecracker MicroVMs for agent sandboxing is a major plus Orchestration & Messaging: Hands-on experience with Temporal for workflow orchestration and RabbitMQ or AWS SQS for event-driven architectures Security & Identity: Proven experience implementing OAuth 2.0 and integrating enterprise identity providers like WorkOS Database Proficiency: Practical experience with relational (PostgreSQL), Graph (Neo4j/GraphDB), and Vector (ChromaDB/PGVector) databases API Design: Demonstrated ability to design and version public-facing APIs and client libraries that other engineering teams depend on Desirable: Prodigy Framework: Familiarity with the Prodigy agentic framework is a significant advantage for this role Domain Expertise: Understanding of Commercial Real Estate (CRE) workflows Evaluation Literacy: Experience building programmatic "Evaluation Harnesses" to measure accuracy and hallucination rates in AI models What’s in it for you? Strong community: Work alongside top professionals in a friendly, open-door environment Growth focus: Take on large-scale projects with a global impact and expand your expertise Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level. Explore, empower, engineer with Ciklum! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum. #LI-NN1