Senior Engineer, Agentic AI
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Requirements
- At least 18 to 24 months experience in enterprise grade Agentic AI applications. A seasoned Data Scientist with a total of 6 to 10 years in multiple areas of Data Science, Data warehousing, AI product development.
- Have experience in enterprise grade Gen AI applications
- Experience with VectorDB and RAG patterns
- Experience in production grade ML ops
- Experience in Data architecture scalable to high volume and velocity
- Experience in real time event processing
- Experience in debugging production issues using metrics and logs.
- Hands on experience in Python, Go, Langgraph, FastAPI, LLM APIs, MCP, RAG, VectorDBs, Phoenix
- Highly adaptable problem solver with a positive can-do attitude!
- 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.
- Data Protection and Privacy Statement
Additional Information
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.Life : A wholly-owned digital lifestyle telco brand based in Singapore, Circles.Life is powered by Circles ' SaaS platform and pioneering go-to-market strategies. It is the digital market leader in Singapore and has won numerous awards for marketing, customer service, and innovative product offerings beyond connectivity. Circles Aspire : A global provider of Communications Platform-as-a-Service (CPaaS) solutions. Its cloud-based Experience Cloud platform enables enterprises, service providers and developers to deliver and scale mobile, messaging, IoT, and connectivity services worldwide. Jetpac : Specializing in travel tech solutions, Jetpac provides seamless eSIM roaming for over 200 destinations and innovative travel lifestyle products, redefining connectivity for digital travelers. Jetpac was awarded Travel eSIM of the Year. 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. Standardized Job Title: Senior Engineer, Agentic AI Role: Senior Agentic AI Lead Location: Bangalore Job Description In the role of a Senior Agentic AI Lead you will be a key member of the Data and AI group of Circles. As a key member of our team, your responsibilities include: Own the agentic AI domain from both Business and Technical perspective Extensive experience is customer facing role getting requirements, feedbacks and providing solutions as a key forward engineer. Extensive experience in the Agentic AI frameworks Own the entire agentic AI lifecycle from Concept to Launch to Value Experience in Data governance, Data security and usage handling customer sensitive data. Knowledge of responsible AI framework As a key member of our team, your responsibilities include: Work with end customers providing Data solutions in multi-disciplinary areas including Data warehousing, Reporting and Digital analytics. Have a passion for driving actionable insights for the central BI team and the country teams to identify opportunities for cross-sell and up-sell. Maintain strong accountability for project scope, cost, resource planning, monitoring and reporting. Working on the business reporting and data analysis for our internal operations world-wide and reporting/data-exchange interfaces with external partners Working closely with any one of business units (Finance , revenue Reconciliation, Product Engineering, Product Management, Operations etc.) across geographies to understand their analytics needs Working very closely with our data team and engineering team to understand the business logic to generate accurate reports and correct analysis Delivering top quality reports and analysis as per commitment
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