At airSlate, our journey began in Boston, USA, in 2008. What started as a single product with 3,000 customers has grown into an influential tech company with 900+ team members across six offices worldwide. In 2022, airSlate reached a total valuation of $1.25 billion and became a 'Unicorn 🦄'. But even as we scale, team members remain our most valuable asset. That's why we've built a company that excites people about their work.

We develop products that serve over 100 million users with no-code workflow automation, electronic signature, and document management solutions. The company's portfolio of award-winning products, signNow, pdfFiller, DocHub, WorkFlow, Instapage, and US Legal Forms, empower teams to digitally transform the way their organizations run.

About GenAI team:

The team is focused on developing agentic AI implementations for both product-facing features and the core of our marketing engine platform. Our work spans the entire spectrum of Large Language Model (LLM) activities, including prompt engineering, retrieval-augmented generation (RAG), and fine-tuning—all tailored to enhance our core marketing engine and product features.

We leverage extensive natural language datasets and have access to cutting-edge LLM technologies, enabling us to push the boundaries of AI-driven marketing solutions. Team members collaborate closely with our core machine learning research group, working on advanced enterprise applications of LLMs.

This role offers the opportunity to engage in both foundational AI research and its practical deployment, ensuring innovative and impactful solutions in the marketing and automotive sectors.

This position merges cutting-edge AI development with scalable cloud solutions, providing a rare chance to innovate in a rapidly evolving landscape.

You’ll collaborate across diverse databases and modern orchestration tools, refining prompt engineering and performance strategies at every turn. The variety of challenges ensures continuous learning and growth while pushing the boundaries of AI-driven applications.

And now, we are looking for a AI Engineer who is prepared to contribute to the next chapter of our company's growth.

What you'll be working on:

Develop and maintain AI-driven applications leveraging LLMs, RAG (Retrieval-Augmented Generation), and AI agent frameworks;
Design, implement, and optimize APIs and microservices, ensuring scalability and performance;
Work with various database systems, including relational, NoSQL, and vector databases;
Integrate and optimize message queue brokers for distributed system architectures;
Collaborate on prompt engineering, evaluation strategies, and fine-tuning LLM-based applications;
Build and maintain cloud-native applications using AWS and containerization tools;
Design and build new services from scratch for AI agents ecosystem;
Improve engineering standards, tooling, and processes;
Actively participate in code reviews;
Increase system’s performance and scalability;
Implement integrations with other products APIs.

What we expect from you:

Strong proficiency in Python and experience with modern frameworks (FastAPI, Flask, Django);
Experience with tools and best practices in the Python ecosystem (Poetry, virtual environments, dependency management);
Experience with LLM-based solutions, including prompt engineering, retrieval strategies, and evaluation;
Solid understanding of data design and database management (SQL, NoSQL, VectorDB);
Experience designing scalable RESTful APIs and working with asynchronous programming (asyncio, FastAPI, Celery);
Hands-on experience with RAG (Retrieval-Augmented Generation) and search pipelines;
Knowledge of message queue brokers (RabbitMQ, Kafka, Redis Streams);
Experience with Git, GitHub, and CI/CD tools for automated testing and deployment;
Proficiency in cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes);
High level of self-awareness, problem-solving, and proactivity.

What helps you rock:

Familiarity with LangChain, LangGraph, or other AI agent orchestration frameworks;
Hands-on experience with search and retrieval systems (Elasticsearch, Weaviate, FAISS, Vespa);
Understanding of ML Ops practices (model deployment, monitoring, scaling);
Experience optimizing LLM inference performance (quantization, distillation, caching);
Exposure to NLP frameworks (Hugging Face, spaCy, NLTK, OpenAI APIs);
Knowledge of workflow orchestration tools (Kubeflow, Airflow, Prefect) for AI pipelines;
Experience with data pipelines and feature stores (Kafka, DVC, Feast);
Understanding of security & compliance requirements for AI applications (data privacy, access control);
Familiarity with knowledge graphs and reasoning engines (Neo4j, RDF, SPARQL).

What we offer:

— Flexible work environment — We value the advantages of in-person collaboration and prioritize work from our offices in Wroclaw or Bialystok. However, we also provide flexible work arrangements to accommodate remote or hybrid options and flexible scheduling.

— Bonuses and compensation — On top of a competitive base salary, we reward our team members' performance with a quarterly bonus to recognize achievements, time, and effort.

— Professional growth opportunities — We are committed to ongoing improvement and welcome those passionate about learning. We cover professional development courses, conferences, literature, English classes, and more for each team member.

— Health and well-being — We prioritize the health and well-being of our team. This is why we provide a Luxmed subscription, a multisport card for every team member, access to the office's massage room, free lunches, and healthy in-office snacks to sustain your energy.

— Stock options — At airSlate, our team members are more than employees; they're business partners. We issue stock options that grant ownership in the company, allowing everyone to share in its growth.

— Open communication — We encourage transparent communication from all team members at airSlate. Feel free to share your thoughts, ideas, and concerns with our management team, CEO, any member of our leadership team, or any team lead at any time.

We are proud of:

— airSlate Care for Ukraine — With a significant number of our team members in Ukraine, our foremost concern was ensuring their safety by providing both financial and logistical assistance to them and their families. What started as an immediate response has evolved into a cornerstone of the airSlate charity program. We match donations contributed by our team members, offer humanitarian aid to those affected by the conflict, distribute food packages to seniors, and support animal shelters. Our commitment remains steadfast in working towards restoring peace to Ukraine.

— airSlate Junior Club — Our sense of family extends beyond our team. All team members with children gain access to the airSlate Junior Club, featuring engaging events such as cooking classes, creative activities, and educational online games.

It is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalised as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.

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