Senior Applied AI Engineer

deepsense.ai; Warszawa; On-site; PLN 245,098 - 343,137; Full time

Benefits offered by this job

Private medical care

Sport subscription

Conference budget

Flexible working hours

Job summary

deepsense.ai is seeking an Applied AI Engineer for a hybrid role in Poland. You will work closely with clients to develop AI solutions that meet their needs, engaging throughout the project lifecycle from scoping to deployment. Candidates should have at least 4 years of software engineering experience, with a focus on AI/ML production systems.

The position requires strong Python skills and the ability to communicate effectively with clients. Enjoy a flexible work environment supported by a knowledgeable team.

Qualifications

• 4+ years of software engineering experience, including 2 years on AI/ML production systems.
• Hands-on production experience with LLMs: prompting, context engineering.
• Strong Python skills and ability to work with clients directly.

Responsibilities

• Collaborate with Delivery Managers to scope and win AI engagements.
• Act as a technical advisor during initial client interactions.
• Deliver production code and manage critical AI deployments.

Skills

Python

AI/ML Experience

Client Interaction

Cloud Platforms

Containerization

Tools

Docker

Kubernetes

GCP/AWS/Azure

Job description

Hybrid — offices and coworks in major Polish cities

Employment type:

B2B

Operating mode:

Hybrid — offices and coworks in major Polish cities

Location:

Poland

Position overview

We’re looking for anApplied AI Engineer toturn aclient’s AI ambition into working systems — and tobuild ithands‑on, right alongside them. You’ll help shape the approach early, build proofs ofconcept that prove out what’s possible inamatter ofweeks, and ship production‑grade AI not long after. It’s real engineering done inclose partnership with the client: understanding the need, then writing the code that brings ittolife. Anapplied role across the whole arc ofanengagement — from scoping the right solution todelivering itinproduction.

deepsense.ai isa120‑person AI/ML consultancy with Anthropic and OpenAI partner credentials. For over adecade we’ve delivered applied AI projects for companies like J&J, Sky, John Deere, and GLS — spanning LLM applications, agents, MLOps, and data science. We’re apeople‑first organization that believes indeep technical craft and real ownership. Our engineers don’t just advise; they build things that run inproduction.

About the role

The Applied AI Engineer works close tothe client across the whole engagement: inthe presales conversations understanding what they actually need, drafting the architecture for it, and then delivering ithands‑on, super close with the client. You’ll move across that work fluidly — one moment shaping the approach inascoping workshop, the next committing code totheir repo and owning aproduction agent intheir environment.

You’ll work alongside our own team and the client’s, and you’ll beequally athome inadiscovery workshop and apull request review.

Responsibilities

• Partner with Delivery Managers toscope and win AI engagements — run technical discovery, design solution architectures, build and demo POCs that help win the work
• Act as the primary technical advisor during early post-sales phases, shaping how clients build ontopofLLMs and agentic systems
• Work hands‑on inside client engagements — intheir systems and close totheir team — shipping production code and, where the engagement calls for it, owning critical AI deployments end toend
• Design and build LLM‑powered applications: RAG pipelines, multi‑agent systems, MCP integrations, evaluation frameworks, and production inference stacks
• Run technical workshops and architecture reviews; transfer knowledge inways that build lasting capability inclient teams
• Contribute to reusable internal assets: solution blueprints, reference implementations, prompt libraries, evaluation toolkits
• Stay at the leading edge of the applied AI space — new models, tooling, and patterns — and bring that knowledge into client work

You must have

• 4+ years ofsoftware engineering experience, with atleast 2 years working onAI/ML orLLM‑powered systems inproduction
• Hands‑on production experience with LLMs: prompting, context engineering, agent architectures, tool use, RAG, evaluation
• Strong Python skills and experience shipping software that real users depend on
• Demonstrated ability towork directly with clients — you can run atechnical scoping call, facilitate aworkshop, and earn trust quickly with engineers and non‑engineers alike
• Experience owning deliverables end‑to‑end inambiguous environments without close supervision
• Familiarity with cloud platforms (GCP / AWS / Azure) and containerized deployment (Docker, Kubernetes)

You may have

• Experience supporting the sales process as the technical expert — building POCs, scoping, and answering clients’ technical questions before a deal is signed
• Hands‑on experience with agentic frameworks: LangGraph, CrewAI, Pydantic AI, orMCP server development
• Familiarity with LLMOps tooling: LangSmith, Langfuse, W&B, orequivalent
• Experience building inregulated‑industry environments (finance, healthcare, manufacturing)
• Exposure to model evaluation methodologies, orLLM‑as‑a‑judge patterns
• A track record of building internal tools, demos, or reference implementations that other engineers reuse

Weoffer

• Work onfrontier AI problems with real clients and real production stakes
• Close collaboration with Anthropic and OpenAI through our partnerships, working at the frontier ofapplied AI
• A team of120+ specialists you can learn from and co‑create with
• Competitive compensation benchmarked tothe market
• Flexible hybrid work — remote + offices and coworks inmajor Polish cities
• Conference budget and learning allowance
• Equipment ofyour choice

Applied AI isnolonger aniche. Clients expect working systems, not slide decks. Atdeepsense.ai you’ll build things that matter, with people who’ve been doing this seriously for over adecade — and you’ll be doing it atamoment when the technology ismoving faster than anyone can keep upwith alone. Ifyou want tobeclose tothe frontier and ship real work, this isthat role.

• Flexible working hours and hybrid model (offices and coworks inmajor Polish cities)
• B2B contract
• Private medical care
• Sport subscription (Multisport)
• Mental health support
• Regular team meetups (atleast afew times per year)