AI Engineer - Internal Agents & Workflows at Interface AI

, , India -

Full Time

Start Date

Immediate

Expiry Date

04 May, 26

Salary

0.0

Posted On

03 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, LLMs, Agents, API Integration, Workflow Engines, Retrieval Systems, Slack Bots, Jira Automations, Webhooks, Multi-step Orchestration, Structured Outputs, Knowledge Systems, Access Control, Observability, Documentation, User Feedback

Industry

Software Development

Description

Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem. Job Title AI Engineer (Contract / Freelance) — Internal Agents & Workflows About the Project We’re building custom internal AI agents and workflow automations to boost productivity across Support, Sales, Customer Success, Recruiting, and Engineering. The goal is to automate repetitive work (triage, summaries, follow-ups, reporting) and enable “copilot” experiences that help teams execute faster with consistent quality. This is a hands-on build role: integrate with our tools (Slack/Jira/Zoom/Email/Docs/CRM), implement agent workflows, and ship working automations quickly. Engagement Model Contract / freelance (part-time or full-time) Remote-friendly Short iteration cycles; focus on MVPs that can be deployed and improved What You’ll Build (Example Use Cases) Support AI triage bot to classify bug vs change request, ask required questions, and auto-create tickets with correct fields Self-serve assistant in Slack / Chatbot Sales & Customer Success Sales copilot: provide real-time answers grounded in product specs (private assist to the rep) Auto-generate follow-up emails, route for approval, send, and remind owners ROI summaries from billing + analytics + call notes (and generate board-style slides/docs) Recruiting Interview evaluation agent: ingest transcript, apply role rubric, generate structured feedback and also coaching notes Responsibilities Design and implement agentic workflows (tool calling, multi-step reasoning, structured outputs) Build integrations/connectors with common internal systems (Slack, Jira, email, calendar, CRM, data warehouse) Implement RAG / knowledge systems for product and internal docs (citations + links to sources) Build basic access control patterns (SSO/AD group aware retrieval, role-based response filtering) Ship MVPs fast, iterate based on user feedback, and add guardrails (evals, logging, retry/timeout behavior) Document workflows and provide a simple runbook for internal adoption Required Skills Strong software engineering fundamentals (clean, testable code; production mindset) Experience building with LLMs and agents: Prompting + structured output (JSON schemas), tool/function calling Multi-step orchestration (agent loops, state machines, graphs) Experience with at least one of: Claude Agent SDK / MCP, LangGraph, OpenAI Assistants/Responses, etc. Strong API + integration experience (OAuth/SSO patterns a plus) Ability to work independently, communicate clearly, and demo progress frequently Workflow engines (Temporal, Dagster, Airflow, Prefect, etc.) Retrieval systems (LlamaIndex, LangChain RAG, Elasticsearch/OpenSearch, pgvector, Pinecone, etc.) Experience building Slack bots, Jira automations, webhook systems Preferred / Nice-to-Have Experience with evaluation frameworks (RAG evals, regression suites, “golden” test sets) Familiarity with security best practices (secrets management, least privilege, audit logging) Tech Stack (Flexible) We’re open to your recommendations, but expect a mix of: Python and/or TypeScript Agent framework: Claude Agent SDK and/or LangGraph RAG: LlamaIndex or existing vector retrieval stack Integrations: Slack / Jira / email / call recording / CRM APIs Optional: workflow runner (Temporal or equivalent) for long-running reliable jobs What Success Looks Like (First 2–4 Weeks) Deliver 1–2 production-ready MVP automations (e.g., interview evaluator + Slack trigger, or support triage + Jira ticket creation) Basic observability: logs, failure handling, retries/timeouts, simple admin runbook Clear plan for scaling to more use cases with reusable connectors + tool registry What to Include in Your Application 2–3 examples of similar systems you’ve built (agents, automations, RAG, Slack bots, integrations) Links to GitHub / demo videos / writeups (if available) Your preferred stack and why (1–2 paragraphs) Availability, hourly rate (or project rate), and timezone overlap At interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

Responsibilities

Design and implement agentic workflows and build integrations with common internal systems. Ship MVPs quickly and iterate based on user feedback.