Senior Software Engineer (LLM)

Exadel Inc (Website)

4h•Hybrid

About The Position

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. Founded in the Netherlands over 180 years ago, the customer is a global leader in information services and expert solutions for professionals in the health, tax and accounting, risk and compliance, finance, and legal sectors. As of 2017, the company was recognized by Corporate Knights as one of the 100 most sustainable companies in the world. The company currently operates in over 150 countries. Join a team building a comprehensive AI technology stack (focused on GenAI) that accelerates AI capabilities across hundreds of customer products. The platform integrates with major AI providers and enables scalable, production-ready AI solutions for professional users. The team is divided into core development and product integration streams.

Requirements

8+ years of professional software engineering experience
Strong full-stack development skills and cloud experience (AWS, Azure, or GCP)
Expert in at least one, and proficient across the others:
AI agent development and evaluation
Backend development
Frontend development
Cloud services (AWS/Azure/GCP)
CI/CD and Infrastructure as Code
Site Reliability Engineering (SRE)
Quality engineering / testing strategy
Secure SDLC and privacy by design
Proven track record delivering secure, reliable, cloud-native systems to production
Excellent problem-solving, ownership, and cross-functional communication
US Central Time overlap (9–11 AM CDT).

Nice To Haves

Proven ability to deliver software products independently or as part of a small, fast-paced team
Experience taking AI agents from concept to production, including safety evaluations, iterative testing (e.g., A/B testing), and continuous improvement
Experience with LangChain, LangGraph, MCP; vector/RAG systems; OpenSearch
Experience with traditional ML tasks such as training, deployment, and monitoring
Understanding of how LLMs work, their failure modes, and techniques such as fine-tuning and model adaptation
Familiarity with regulatory frameworks such as SOC 2, HIPAA, etc.

Responsibilities

Design and implement full-stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment
Build developer tooling, CI/CD, and observability for safe, fast iteration (evals, canaries, rollout/rollback, cost and quality telemetry)
Apply secure SDLC and privacy-by-design practices (threat modeling, least privilege)
Collaborate with product, UX, and domain experts to deliver customer-focused solutions with measurable outcomes
Apply current LLM patterns (RAG, retrieval, routing, tool-use, evals) to deliver measurable customer value — faster, more reliable AI systems; reduced time-to-decision; improved trust/safety metrics; and lower cost per query
Lead by example and be heavily hands-on: drive architecture, mentor engineers, and take ownership of larger projects