Senior Technical Lead

HCL America, Inc.
United States
19 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

LangGraph Framework Application Programming Interfaces (APIs) Artificial Intelligence Audit Trail Automation of Tests Databases Information Retrieval Python (Programming Language) PostgreSQL Network Control Regression Testing Design of Telemetry/logging Agents
+20 more
LangChain Evaluation Pipelines Retrieval-Augmented Generation Delivery Pipeline Large Language Models Hallucination Detection Llamaindex Agentic-AI Fastapi Gitlab-ci Low Latency CrewAI AutoGen Apache Kafka OSS/BSS Restful APIs Semantic Kernel Network Server Docker Microservices

Job description

Design, build, test, and productionize telecom-domain agents for Nokia’s Agentic Control Plane across 5G Core, Packet Core, IMS, and Autonomous Networks., Design Agentic RAG solutions over telecom documentation, alarms, KPIs, topology, inventory, and operational runbooks. Implement ingestion, chunking, embeddings, vector retrieval, reranking, grounding, and citation generation. Develop AI microservices using Python, FastAPI, REST APIs, AsyncIO, and containerized architectures. Create MCP Servers and MCP Clients exposing approved telecom tools, repositories, databases, and APIs. Integrate LLMs through Vertex AI and enterprise model gateways with prompt caching and model routing. Develop multi-step agent workflows with tool calling, contextual memory, state management, and human approvals. Apply 5G Core, IMS, EPC, OSS/BSS, assurance, and operational domain expertise to agent design. Design structured tool contracts and agent interfaces for reusable telecom capabilities. Build evaluation pipelines covering grounding, telecom correctness, hallucination detection, latency, and safety. Implement observability for prompts, retrieval quality, tool invocations, token usage, and business outcomes. Integrate agents with PostgreSQL, vector databases, Kafka/PubSub, enterprise APIs, and telemetry platforms. Implement Responsible AI controls, access controls, auditability, approval workflows, and security guardrails. Deploy solutions on GKE/Cloud Run using Docker, GitLab CI/CD, automated testing, and release pipelines. Own production rollout, incident analysis, operational readiness, regression testing, and service evolution.

Requirements

Build production-grade AI Agents using LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, and LlamaIndex.

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