REMOTEFULLTIME
Sr AI Engineer, Agentic Systems
Talent
Remote · remote · Posted 33d ago
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Undisclosed5–10 yrsfulltimeRemote
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Section · 01
About this role
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 theyve done so far, whats 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 dont
- 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 didnt
- 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
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
DockerPostgresqlCompressionDistillationstreamingorchestrationml engineerapi designcachingamazon web servicesGdprclassificationredisai engineerProgrammingLarge Language Models (LLMs)AsynchronousdeploymentPythonState ManagementcomplianceGITArtificial IntelligenceMachine Learning
Section · Company
About Talent
Talent
Internet
25
employees
2015
11 years old
Mumbai,Maharashtra
India
₹12.1L PA avg
Avg at Talent
About
We are providing services to manufacturing industries.
With Regards
Kavya
9844378855
Industries
Internet
Employee ratings
10 reviews
3.0/ 5
Culture
2.6
Career growth
2.6
Work-life
3.2
Employees rate it well for
Compensation & Benefits36Work-Life Balance32
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