4Bell Technology

Job Description

Responsibilities:

●      Work directly with customer product, engineering, operations and customer experience teams to understand workflows, pain points, success metrics and technical constraints.

●      Translate customer requirements into working solutions, APIs, data models, integration contracts, implementation plans and acceptance criteria.

●      Build and maintain backend services and integrations using Java and Spring Boot for customer-facing and platform workflows.

●      Build AI/LLM capabilities in Python, including agent workflows, tool/API calling, evaluation, guardrails, automation and MLOps support.

●      Integrate Conversational AI with contact-center/CCaaS systems, CRM, ticketing, identity, knowledge bases and enterprise APIs.

●      Work with ElevenLabs for Voice AI, OpenAI for LLM capabilities, and Strands as a decision-making/orchestration layer where appropriate.

●      Design secure, observable cloud solutions on AWS, using DynamoDB and PostgreSQL based on data needs. Collaborate on React-based frontend workflows as required.

●      Build for production: authentication, authorization, retries, idempotency, rate limits, timeouts, error handling, logging, monitoring, deployment and incident response.

●      Design for concurrent customer sessions and latency-sensitive interactions using appropriate multithreading, asynchronous processing, resource limits and backpressure.

●      Advance multimodal experiences spanning voice, text and images, including context management, routing, evaluation and graceful failure handling.

●      Prototype quickly, validate with customers, iterate on real usage and turn successful prototypes into maintainable production systems.

●      Own technical troubleshooting and customer escalations; coordinate with Product and Engineering on platform gaps and reusable capabilities.

●      Document architecture decisions and reusable implementation patterns without sacrificing customer-specific needs or platform integrity.

Requirements:

●      Strong hands-on software engineering experience, ideally 4+ years, delivering customer-facing enterprise software into production.

●      Mandatory Java competency for backend engineering, preferably Spring Boot, REST APIs, dependency injection, testing, exception handling and service design.

●      Mandatory Python competency for AI engineering, automation, LLM integrations, tool calling, evaluation and/or MLOps workflows.

●      Hands-on Conversational AI experience, including conversation state, context handling, fallback, escalation and production measurement.

●      Experience building APIs and enterprise integrations; familiarity with authentication, webhooks, retries, idempotency, rate limits and event-driven patterns.

●      Strong debugging and production-readiness skills across testing, observability, performance, reliability and secure customer-data handling.

●      Ability to lead technical discovery, handle ambiguity, explain trade-offs and take ownership from problem definition through deployment.

●      Working knowledge of cloud architecture and deployment practices; AWS experience is preferred.