Senior AI Engineer, Agentic Systems

talentwwinc; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Careerminds is developing a new AI career companion app with a conversational assistant. You will lead core technical choices to build this product, including memory, orchestration, evaluation, and safety features.

This is a 100% remote/work-from-home role and offers ownership of the product direction in a small team. The role focuses on building a scalable, low-latency system using Python, FastAPI, and modern ML tools, with emphasis on tool calling, state management, and end-user impact through

Qualifications

• 5+ years as a software or ML engineer, including at least 2 years shipping LLM-based products to real users.
• Experience building a conversational product that people used, and a clear account of what worked and didn't.
• Production experience with agent frameworks, tool calling, MCP, structured outputs, state management.

Responsibilities

• Conversation and Memory: maintain context across weeks or months and personalise user experiences.
• Agent Orchestration: design multi-step workflows with explicit state and tool calls.
• Evaluation: run offline eval sets and online experiments to measure user outcomes.
• Safety: implement guardrails, handle prompt injections and ensure compliance.

Skills

LLM-based products

Conversation product

Python

Async programming

API design

Git

AWS

Docker

API deployment

Tools

LangGraph

MCP

Structured outputs

Tool calling

State management

FastAPI

Postgres

Redis

AWS

Job description

THE COMPANY

Careerminds is a leader in career transition and coaching solutions, helping organizations support employees through change while enabling workforce growth and development. Our product portfolio includes market-leading Career Transition and Coaching Services as well as Progression, our application for Career Frameworks and progression planning.

THE ROLE

We are developing a new product, an AI career companion app. It is distinct from our main platform and is in its early stages. At its heart is a conversational assistant which helps people with their job search, along with an agentic feature that enables it to carry out actions on their behalf such as updating a resume, searching for jobs, preparing for an interview, and following up on the outcome. You would have control of that core since the team is small and the direction has already been decided, most of the technical choices being yours.

This is a 100% remote/work-from-home role.

THE KEY RESPONSIBILITIES

Conversation and Memory

• A multi-turn assistant that maintains context across sessions over weeks or months
• User memory and personalisation: what someone has shared, what they've done so far, what's changed
• Retrieval over the coaching corpus, and fine-tuning if it turns out to be worth it
• Conversation design: when the assistant should ask, suggest, act, or refer the user elsewhere

Agent Orchestration

• Multi-step workflows with explicit state, tool calling and handoffs between specialized agents
• Deciding which actions need user confirmation and which don't
• Routing between model providers based on cost, latency and quality, with fallbacks
• Traces for every agent decision so failures can be debugged

Evaluation

• Offline evaluation sets for multi-turn conversations
• LLM-as-judge scoring, validated against human ratings
• Online experiments on live traffic, measured against user outcomes (applications, interviews, offers)

Safety

• Guardrails for scope, tone and escalation in a consumer product
• Prompt injection and jailbreak handling
• GDPR and EU AI Act compliance as part of the design

Production

• Streaming responses and latency work
• Cost per conversation: caching, routing, prompt compression
• Deployment: FastAPI, async Python, Postgres, Redis, AWS

THE MUST-HAVES

• 5+ years as a software or ML engineer, including at least 2 years shipping LLM-based products to real users
• Experience building a conversational product that people used, and a clear account of what worked and what didn't
• Production experience with agent frameworks (LangGraph or similar), tool calling, MCP, structured outputs, state management
• Experience evaluating multi-turn systems: offline eval sets, judge validation, online testing
• Experience with guardrails and adversarial input in a live product
• Experience with streaming, latency and cost optimisation for LLM systems
• Python, asynchronous programming, and API design; Git, Docker, and AWS.
• Interest in the problem domain: careers, coaching, how people make decisions about work

THE NICE-TO-HAVES

• Fine-tuning or post-training on conversational data (SFT, DPO, distillation)
• Voice interfaces: STT, TTS, real-time conversational agents
• Consumer product experience
• Background in coaching, education, health or similar
• MCP server development
• Classical ML or recommendation systems

At Careerminds, we believe that diversity in thought and cultural background leads to better teams and stronger companies. We seek talented, qualified employees, regardless of race, color, sex/gender (including pregnancy, gender identity, and gender expression), national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status or any other protected classification under country or local law. Careerminds is proud to be an Equal Employment Opportunity Employer.

Come join our team. Together, we’ll help others tell their career stories and land their dream jobs.