AI Experience Software Engineer (IR-479) at Intellectsoft-USA

, , Colombia -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

0.0

Posted On

23 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, LLMs, OpenAI, Cloud Infrastructure, Vector DB, APIs, Postgres, BigQuery, Redis, Message Queues, Agentic Automation, React, Next.js, Payload CMS

Industry

Software Development

Description

Intellectsoft is a software development company delivering innovative solutions since 2007. We operate across North America, Latin America, the Nordic region, the UK, and Europe.We specialize in industries like Fintech, Healthcare, EdTech, Construction, Hospitality, and more, partnering with startups, mid-sized businesses, and Fortune 500 companies to drive innovation and scalability. Our clients include Jaguar Motors, Universal Pictures, Harley-Davidson, and many more where our teams are making daily impactTogether, our team delivers solutions that make a difference. Learn more at www.intellectsoft.net/ Our client is building the next generation of intelligent sales enablement tools for insurance agents — an AI-driven platform that automates marketing, lead nurturing, case prep, compliance workflows, prospecting, CRM updates, content generation, and personalized agent dashboards. Strong Python experience (FastAPI, async, tool functions, structured outputs). Experience with LLMs: OpenAI, Claude, Gemini, Groq, ReAct, RAG, transformers. Experience building real agentic workflows, not just prompt engineering. Experience with cloud infrastructure (AWS, GCP, Azure, etc) Vector DB experience (Pinecone, Qdrant, PGVector, Chroma). Comfortable integrating complex APIs, authentication flows, and compliance handling. Strong architectural instincts for secure, multi-tenant SaaS applications. Experience with Postgres, BigQuery, Redis, and message queues. Nice to have: Experience with agentic automation frameworks (CrewAI, AutoGen, LangGraph). Prior work with insurance, fintech, or regulated environments. Experience building multi-cloud monitoring or DevOps automation tools. Experience with React, Next.js or Payload CMS is a plus. Responsibilities: AI & LLM Engineering: Build agentic workflows using frameworks such as LangChain, CrewAI, ADK, custom orchestrators, and internal agent runners. Design retrieval-augmented generation (RAG) systems with structured memory, embeddings, Postgres/BigQuery, and vector stores. Develop multi-agent orchestration for automated operations (alerts, monitoring, remediation, reporting). Build AI tools for analyzing insurance carrier PDFs, rate sheets, and case documentation. Implement cost-aware AI routing, token budgeting, and observability for LLM usage. Integrations & Automation: Connect AI flows to our systems: GCP, AWS, and custom APIs Build structured tools/functions so AI agents can act safely and deterministically. Implement workflow automations for sales, compliance, commissions, and agency management. Work with vendor APIs. Architecture & Ops: Design systems that scale as we grow from thousands of agents to tens of thousands. Implement monitoring, testing, observability, and performance automation for AI systems. Help define best practices for safety, alignment, and deterministic behavior in agent workflows. Awesome projects with an impact Udemy courses of your choice Team-buildings, events, marathons & charity activities to connect and recharge Workshops, trainings, expert knowledge-sharing that keep you growing Clear career path Absence days for work-life balance Flexible hours & work setup - work from anywhere and organize your day your way

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Responsibilities

The role involves building agentic workflows and designing retrieval-augmented generation systems. Additionally, the engineer will implement workflow automations and connect AI flows to various systems.