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gravity9

Forward Deployed AI Engineer

Work from home

Remote role where the employee must remain based in a particular country.

Poland only

Employer listed it 7 weeks ago · Found 4h ago

Been open since 7 weeks ago. Long-running listings are sometimes left up after the role is filled.

Salary

Not stated

Location

Poland only

Work style

Async

Contract

Full-time

Experience

Mid

Category

Software

This employer didn't state pay. Jobs like this usually pay around $140k–$245k a year, a typical range taken from 591 mid-level software roles on Nomaders that do state pay. It's a guide, not an offer.

Remote flexibility

Work from home

This is a remote role, but the employee must be based in Poland. It is work from home rather than work from anywhere.

What the employer says

  • Source listing states candidate location: "Remote job, Kraków, Poland, Wrocław, Gdańsk, Warsaw, Remote"
  • Job description states: "US, Canada, Poland"

What Nomaders makes of it

  • Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

gravity9 is a boutique IT consulting company headquartered in the UK with offices in the US, Canada, Poland, and Colombia. Our team has deep experience in engineering, experience design and product management. We enjoy a challenge and pride ourselves on working with our clients on their most complex problems, finding elegant and flexible solutions that help them transform their businesses.

Join Our Growing Team - Future Opportunities Await!

We are excited to share that our company is experiencing significant growth and expansion, and as a result, we're on the lookout for talented individuals to join our team.

We want to be upfront about our hiring process. At this moment, we are in the process of securing projects that align with our business goals and objectives. Our intention is to ensure that once we bring new team members on board, they will have a meaningful and impactful role to play from day one. While we might not be able to extend an offer immediately, we are highly interested in considering you for these future projects.

If you're open to the idea of potentially joining our team in the future, we encourage you to continue with our interview process. We value your time and effort and believe that getting to know you better will help us make an informed decision.

Once you have effectively concluded the entire recruitment procedure, we will retain your profile and reach out to you once a suitable opportunity emerges. Additional interviews will not be necessary at this stage, and we anticipate being able to extend an offer to you promptly.

What does the recruitment process look like?

1. Recruiter Screen

In the first call, our recruiter will learn more about you and your story to check a potential fit for gravity9. This is also an opportunity to ask your questions about the role and company. This step might take around 60 mins.

2. Tech 1 Interview with our AI Practice Lead

In this meeting your potential future teammate will take a deeper dive into your experience and what you could bring to the team. This step will take around 75 mins.

3. Tech 2 Interview with our software consultants

In this meeting your potential future teammate will take a deeper dive into your experience and what you could bring to the team. This step will take around 60 mins.

4. Final Interview

You made it to the very last stage! Here we already strive to cooperate with you and give you an opportunity to meet our leadership team during this informal talk. This step will take around 30 mins.

The salary details for the role will be communicated ahead of the first recruitment meeting.

Thank you for considering the opportunity to be a part of our growing journey. We look forward to the possibility of working together and achieving great things.

Role Description

gravity9 is expanding its Forward Deployed Engineering team to build production agentic AI systems for enterprise clients, in partnership with leading frontier-model providers. We already support clients from different verticals to have agentic and RAG systems live in production across healthcare, financial services, retail and global logistics.

As a Forward Deployed AI Engineer you work embedded in the client's environment, from discovery, through architecture and build, to production and handover. This is end-to-end agent engineering, not proofs of concept and not advisory work. Two flavours of engagement:

Internal enterprise use cases, such as reconciliation and KYC workflows in financial services, clinical and claims workflows in healthcare, operations and supply-chain workflows in logistics.

Product- and customer-facing agents, more greenfield, often exploratory, built into the client's own product.

Engagements are typically a team of engineers over a few months, working shoulder-to-shoulder with the client's team including architects, DevOps and QA.

Embed with the client. Work hand-in-hand inside the client's environment, codebase and cloud tenancy, often in a hybrid team alongside their engineers. You are visible to the client from day one.

Requirements

  • ·Programming: Strong Python (async, typing, testing, packaging). Working competence in TypeScript / Node is a plus.
  • ·LLM application engineering: Hands-on production experience with frontier models: prompt and context engineering, structured outputs, tool and function calling, streaming, token and context-window management.
  • ·Frameworks: At least one of: Anthropic Agent SDK, LangGraph, LlamaIndex, or an equivalent orchestration framework, plus the judgement to know when to use none of them.
  • ·RAG and retrieval: Chunking strategy, embeddings, hybrid and semantic search, re-ranking, citation and provenance, natural-language-to-query translation.
  • ·Data platforms: NoSQL databases such as MongoDB (aggregation pipelines, Atlas Search, Atlas Vector Search) or a strong equivalent, plus SQL. Comfortable designing schemas for agent retrieval, not just for OLTP.

Benefits

  • ·Support for vendor certifications and access to partner training programmes.
  • ·Company-wide AI tooling as part of how we work day to day.

How to apply

  1. 1Check the flexibility label above, work from home, matches where you plan to live and work.
  2. 2Tailor your CV to the role at gravity9, mentioning your remote working experience and working hours (Async).
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 5h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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