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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and deploy production-grade AI services involving Agentic AI, LLM integrations, and vector retrieval for telecom managed services.
Develop and manage multi-agent systems, RAG pipelines, knowledge graph reasoning, and ML pipelines with measurable impact on service operations.
Ensure production stability by monitoring model drift, data quality, latency, and token costs; contribute to CI/CD and technical documentation.
Minimum Requirements
6–15 years software development experience; Bachelor’s or Master’s in CS, Software Engineering, AI/ML, or equivalent.
5+ years hands-on ML engineering and LLM development experience in production environments.
Expertise in Java backend/full stack, Python scripting, microservices, API design, and big data tools like Spark, SQL, Kafka.
Experience with Agentic AI, vector databases for Retrieval-Augmented Generation, knowledge graph integrations, LLM fine-tuning and optimization, and cloud technologies (Docker, Kubernetes, AWS/Azure/GCP).
Ideal Candidate Profile
Experienced in building scalable AI/ML production systems in telecom or similarly complex managed service environments.
Strong multi-agent system design and integration skills, capable of balancing cost, privacy, latency, and accuracy in LLM services.
Familiar with enterprise architecture frameworks (e.g., TOGAF), MLOps tooling, model safety, observability, and optimization techniques.