India
Hybrid
Founded in 2014, Circles is a global technology company reimagining the telco industry with its innovative SaaS platform, empowering telco operators worldwide to effortlessly launch innovative digital brands or refresh existing ones, accelerating their transformation into techcos.
Today, Circles partners with leading telco operators across multiple countries and continents, including KDDI Corporation, Etisalat Group (e&), AT&T, and Telkomsel, creating blueprints for future telco and digital experiences enjoyed by millions of consumers globally.
Besides its SaaS business, Circles operates three other distinct businesses:
Circles is backed by renowned global investors, including Peak XV Partners (formerly Sequoia), Warburg Pincus, Founders Fund, and EDBI (the investment arm of the Singapore Economic Development Board), with a track record of backing industry challengers.
About the Role
We are looking for an AI Engineer to build and scale production-grade AI capabilities across our core backend services. You will design agentic workflows, integrate LLM-powered endpoints, and work on delivery lifecycle from prototype to production reliability.
Primary Scope
• Design, implement, and maintain AI/LLM features across backend services.
• Build secure, observable API integrations for AI use cases in consumer-facing journeys.
• Partner with product, design, and frontend teams to ship AI features with measurable business impact.
Key responsibilities of the AI Engineer shall include (but not be limited to):
Collaborate with Product and Design teams to identify and build agentic AI use cases for consumer-facing journeys.
Design and implement agentic workflows with planning and execution loops, safe tool/function calling, and strong failure handling.
Build RAG pipelines, including document ingestion, chunking, embeddings, vector indexing, retrieval tuning, and grounded responses with citations where required.
Develop secure and scalable AI APIs, SDKs, and integrations for frontend, internal systems, data sources, and third-party tools.
Implement authentication, least-privilege access, RBAC, rate limits, retries, timeouts, budget controls, and provider failover strategies.
Apply safety and compliance guardrails such as PII redaction or masking, content moderation, audit logging, and policy-aligned access controls.
Define and automate evaluation frameworks to measure task success, response quality, hallucination, latency, and cost.
Set up observability for AI systems using traces, metrics, logs, dashboards, and cost or latency monitoring.
Optimize reliability, performance, and cost through caching, queuing, retries, timeouts, and model/provider fallback mechanisms.
Contribute to CI/CD, infrastructure-as-code, automated testing, and production deployment processes.
Drive production readiness through clear documentation, runbooks, staged rollout plans, and incident response support.
Work closely with backend, frontend, and QA teams through sprint planning, technical design reviews, and code reviews.
Write clean, well-tested, maintainable, and production-ready code.
3. Resource Skills Requirement
The AI Engineer shall possess the following qualifications:
Proven experience designing, building, and operating agentic AI/LLM systems in production
Strong proficiency in Python; familiarity with TypeScript/Node.js or Golang is a plus
Hands-on with agent orchestration and tool/function calling; ability to design planning/execution loops and multi-agent workflows
Strong RAG expertise, including document ingestion, chunking, embeddings, indexing, vector databases, retrieval tuning, and grounded responses with citations.
Experience with AI frameworks and platforms such as LangGraph, LangChain, AutoGen, CrewAI, OpenAI APIs, pgvector, or Pinecone.
Solid API engineering fundamentals, including authentication, authorization, input validation, error handling, versioning, rate limiting, retries, timeouts, and budget controls.
Ability to implement safety, compliance, evaluation, and observability practices, including PII redaction, content moderation, audit logging, RBAC, traces, metrics, logs, and quality benchmarks.
Production engineering mindset, including testing, CI/CD, documentation, runbooks, staged rollouts, incident response support, and collaboration with backend, QA, Product, and Design teams.
The Software Engineer shall possess the following qualifications:
At least 4-5 years of software engineering experience, preferably with hands-on delivery of AI or LLM systems in production.
Strong full-stack development experience with a good understanding of UI/UX principles.
Strong proficiency in Node.js, TypeScript, and React.
Working knowledge of Python for AI/LLM integrations and exposure to Golang are pluses.
Solid API engineering fundamentals, including authentication, authorization, input validation, error handling, versioning, integration design, and secure system development.
Strong testing and delivery practices, including unit, integration, and end-to-end testing, Agile collaboration, code reviews, production rollouts, and writing clean, maintainable, production-ready code.
Circles is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, disability or age.
By submitting an application for this position, you, as the applicant, or your authorised representative(s), consent to Circles’ Candidate Data Protection and Privacy Policy. You also agree to the collection, use, and/or disclosure of your personal data by us solely for recruitment purposes as specified in the Policy. You acknowledge that you have read and understood the Policy, are aware of your rights regarding your personal data, and accept the terms relating to international data transfers, where applicable. You further understand that you may withdraw consent at any time, which may affect our ability to consider your application. In instances where your personal data or application is submitted by a third party, it is understood that such third party has been duly authorised by you to disclose the relevant personal data and provide consent on your behalf, and that you have been made aware of this Policy.
To all recruitment agencies: Circles will only acknowledge resumes shared by recruitment agencies if selected in our preferred supplier partnership program.
Please do not forward resumes to our jobs alias, Circles, employees or any other company location. Circles will not be held accountable for any fees related to unsolicited resumes not uploaded via our ATS.