Software Engineer (AI Products)

Posted Yesterday
Be an Early Applicant
Vilnius, Vilniaus miesto savivaldybė, Vilniaus apskritis, LTU
Hybrid
3K-6K Annually
Junior
Big Data • Information Technology
Oxylabs is a web intelligence collection platform, enabling companies worldwide to unlock the power of big data.
The Role
Design, build, and maintain Python backend services for LLM-powered products. Implement RAG, semantic search, agent workflows, and API endpoints; integrate with vector/search/databases; optimize prompts, latency, cost, and reliability; collaborate cross-functionally and contribute to evaluation and testing of AI features.
Summary Generated by Built In
We’re a team of 500+ professionals who develop cutting-edge proxy and web data scraping solutions for thousands of the world’s best known businesses, including Fortune 500 companies. 

What’s in store for you:
You’ll be solving complex challenges and maintaining our own infrastructure with 60PB+ monthly data traffic. Here are its scale and maturity in numbers:

- 6PB+ Ceph storage
- 60PB+ monthly data traffic through our systems
- 300k+ service requests/sec processed
- 500k+ Kafka messages/sec streamed

The team waiting for you:

We’re building the AI layer on top of one of the world’s largest B2B data platforms. Our product lets users ask questions in plain language and get data-driven answers from millions of company and professional records. Think of it as giving our dataset a brain.

We’re forming a dedicated squad to take this from promising product to industry-leading platform. If you’re a Python developer who’s been itching to go deep on LLMs, RAG, and agentic AI — not just toy projects, but production systems at scale — this is your chance. You’ll work alongside experienced Staff Engineers, ship to real customers, and help define how AI reshapes B2B data intelligence. We have a seat ready for you!

In this role, you’ll:

  • Design, develop, and maintain Python backend services powering our AI products.
  • Build and optimize LLM-powered pipelines — RAG, semantic search, natural language query processing.
  • Develop agent workflows and tool-use patterns for the AI Data Assistant.
  • Integrate with large-scale data infrastructure — vector databases, search engines, and analytical query engines.
  • Design and implement API endpoints to serve AI-generated insights to client-facing products.
  • Optimize prompt engineering, LLM output quality, and system reliability.
  • Collaborate with cross-functional teams (Data Engineering, API, Client Side) to deliver product features.
  • Monitor and improve performance, latency, and cost efficiency of AI services.
  • Contribute to evaluation frameworks and testing strategies for AI-powered features.
  • Share knowledge and help build the team’s collective expertise in applied AI.

Your skills & experience:

  • 2+ years of professional backend development experience.
  • Experience building and deploying production-grade APIs.
  • Familiarity with LLM APIs (OpenAI, Anthropic, or similar) — professional or personal projects.
  • Understanding of retrieval-augmented generation (RAG) patterns or strong willingness to learn.
  • Experience working with databases — relational (PostgreSQL/MySQL) and/or search engines (Elasticsearch).
  • Experience with Docker and containerized environments.
  • Strong problem-solving skills and genuine curiosity about AI technologies.
  • Ability to work with ambiguity and evolving requirements in a fast-moving product space.

Nice to have:

  • Experience with vector databases (Qdrant, Pinecone, Weaviate).
  • Experience with LLM orchestration frameworks (LangChain, LlamaIndex).
  • Experience with agent/tool-use patterns and agentic programming.
  • Data engineering background — Kafka, Spark, Trino, dbt, or similar.
  • Experience with prompt engineering and LLM evaluation.
  • Experience with Kubernetes.
  • Familiarity with observability tools (Grafana, Sentry, OTel).
  • Understanding of NLP concepts (embeddings, semantic similarity, tokenization).

Salary & Benefits:

  • Gross salary: 3200-5600 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies.
  • Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing.
  • Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.
  • Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together.
  • Plus bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need. See the full list of benefits here: https://career.oxylabs.io/blog/our-work-benefits/.

Up for the challenge? Let’s talk!

Skills Required

  • 2+ years of professional backend development experience
  • Experience building and deploying production-grade APIs
  • Familiarity with LLM APIs (OpenAI, Anthropic, or similar)
  • Understanding of retrieval-augmented generation (RAG) patterns or strong willingness to learn
  • Experience working with relational databases (PostgreSQL/MySQL) and/or search engines (Elasticsearch)
  • Experience with Docker and containerized environments
  • Strong problem-solving skills and ability to work with ambiguity
  • Experience with vector databases (Qdrant, Pinecone, Weaviate)
  • Experience with LLM orchestration frameworks (LangChain, LlamaIndex)
  • Experience with agent/tool-use patterns and agentic programming
  • Data engineering background (Kafka, Spark, Trino, dbt, or similar)
  • Experience with prompt engineering and LLM evaluation
  • Experience with Kubernetes
  • Familiarity with observability tools (Grafana, Sentry, OTel)
  • Understanding of NLP concepts (embeddings, semantic similarity, tokenization)
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The Company
HQ: Vilnius, Lithuania
500 Employees
Year Founded: 2015

What We Do

Established in 2015, Oxylabs is a web intelligence acquisition solution and premium proxy provider, enabling companies of all sizes to utilize the power of big data. Constant innovation, an extensive patent portfolio, and a focus on ethics have allowed Oxylabs to become a global leader in the web intelligence collection industry and forge close ties with dozens of Fortune Global 500 companies. In 2022 and 2023, Oxylabs was named Europe's fastest-growing web intelligence acquisition company in the Financial Times’ FT 1000 list. Unlocking the power of web intelligence with Oxylabs! As businesses look for ways to create and optimize revenue streams, internal data is being exhausted, forcing companies to turn outwards. Organizations are now competing over external data insights that are fueling the digital economy's growth. Oxylabs proudly stands as a leading force in the web intelligence collection industry. Our innovative and ethical scraping solutions make web intelligence insights accessible to those that seek to become leaders in their own domain. Why choose us? Industry Leaders: As one of the market-leading companies, we offer cutting-edge web scraping solutions backed by the world's largest ethical proxy network. Partnering for success: We view our clients as partners, working hand in hand to maximize the benefits of our collaboration. Your success is our success. Elevate your business with our services: - Market Research: Gain insights that drive informed decisions. - Ad Verification: Ensure real audiences see your ads. - Brand Protection: Safeguard your online reputation. - Travel Fare Aggregation: Optimize travel-related pricing. - SEO Monitoring: Stay ahead in search engine rankings. - Pricing Intelligence: Make data-driven pricing decisions and more. Curious about how Oxylabs can supercharge your business? We're here to help! Drop us a line at [email protected].

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