AI Engineer

Senior QA Engineer (Manual & Automation)

We are looking for a Senior AI Software Engineer to join our R&D group and help design and implement our next-generation AI-driven data and intelligence platform. This role is ideal for a senior engineer who thrives at the intersection of software engineering, data pipelines, and applied AI — someone who can bridge solid backend foundations with practical experience in modern AI systems. You’ll lead efforts to integrate and operationalize existing open-source and commercial AI models, evaluate their performance, and optimize their cost and accuracy in production environments.

Who we are:

We’re a fast-paced startup committed to delivering high-quality releases and an outstanding

user experience. We thrive on innovation, collaboration, and a commitment to excellence. If

you’re someone who enjoys diving deep into both manual and automated testing, and

you’re eager to make an impact in a dynamic environment, we’d love to hear from you.

What You’ll Do

Design and build scalable data pipelines to gather, prepare, and serve data for AI workflows — including evaluation, fine-tuning, and retrieval pipelines.

Integrate and operationalize LLMs and multimodal models , focusing on applying and adapting existing open-source or commercial models rather than building from scratch.

Conduct error analysis, model evaluation, and cost/performance optimization to ensure production readiness and efficiency.

Develop and maintain backend services (primarily in Java and Python ) that power AI-driven features and automate data processing.

Implement retrieval-augmented generation (RAG) and information retrieval pipelines to enhance system intelligence.

Apply prompt engineering , validation, and A/B testing to improve system output quality.

Collaborate with product and engineering teams to turn AI capabilities into end-user features with measurable impact.

Stay current with emerging AI trends and tools , driving innovation and adoption across the company.

What We’re Looking For

7+ years of hands-on software engineering experience , including system design and production-grade development.

B.Sc. in Computer Science or Software Engineering (M.Sc. a plus).

Strong proficiency in Java and Python .

Experience in cloud environments (AWS, GCP, or Azure).

Hands-on experience with Kafka , SQL , and NoSQL databases.

Familiarity with machine learning fundamentals, NLP, information retrieval , and RAG architectures .

Experience building data pipelines for training, evaluation, or experimentation.

Proven ability to conduct prompt optimization, model evaluation, and cost-aware experimentation .

Self-driven mindset and curiosity to explore new tools, frameworks, and approaches in applied AI.

Nice to Have

Fluency with AI-assisted development (GitHub Copilot, Cursor, JetBrains AI) and experience defining org-wide usage guidelines.

Experience with multi-model routing, tool-use/agents, and safety classifiers/guardrails.

Knowledge of model optimization techniques (quantization, distillation) and GPU/accelerator stacks.

Apply For This Position