Senior AI Engineer

Dreаmix was founded 18 years ago by passionate IT students, who wanted to create the dreamiest workplace where everyone is heard, works under transparent management, and lives up to their full potential. Now, many years later, we deliver software solutions for renowned companies from Germany, the UK, Switzerland, and Silicon Valley. Dreamix provides quality software services and products for top enterprises around the world through Java and Web technologies.We believe that the employer-employee relationship must be in the form of partnership not transaction. We are committed to investing as much as possible in our employees and we expect the same from you. Culture is what makes us different as we strongly believe in striving for mastery, teamwork, knowledge sharing, proactivity, a healthy lifestyle, and personal development.We are seeking a talented and motivated Senior AI Engineer to join our team. The person will play a key role in developing, implementing, and maintaining AI solutions that drive business value and enhance user experiences. Responsibilities:Develop new ML and GenAI based solutions written in PythonEnhance and maintain existing ML and GenAI solutionsWork together with the technical architects, client implementation team, and infrastructure team to develop, test, and maintain the codeFollow a fast-paced, agile process, and assist with estimation of sprint deliverablesEnsure secure coding and best practices for testing and DevOps pipeline across an end-to-end solutionProvide diagnostic support and issue resolutions for existing software applicationsDocument and present findings to both technical and non-technical stakeholdersRequirements:Excellent command of the Python programming language (incl. common frameworks and packages - e.g. LangChain, LlamaIndex, ReAct, NumPy / Scipy, pandas, TensorFlow / Torch, Spacy, etc.)Proficiency with different LLMs - commercial (OpenAI, Claude, Amazon Titan) and non-commercial (Meta, Mistral, etc.)Experience with prompt engineering, output parsing, guardrails Knowledge of different types of embeddings and vector databases, RAG, CoT / ToT, etc. Ability to evaluate different models and techniques based on quantitative metrics Hands-on experience with AWS SageMaker Knowledge of different ML algorithms (XGboost, etc.), feature selection, resampling, optimization techniques Experience with application of ML for classification, document parsing, customer segmentation, predictive analytics Ability to evaluate different models and techniques based on quantitative metrics Excellent knowledge of SQL and/or No-SQL databasesExperience building high-performance Python applicationsProficiency in written and spoken English Nice to have: Experience with containerization (Docker, Kubernetes) and AWS infrastructure as code (ideally, CDK)Understanding of concurrent programing concepts, data privacy, encryption, and secure coding best practicesExperience with AWS SQS, Lambda and BedrockWhat you'll get:A warm and supportive work environment where you can reach your full potentialFlexible working hours that allow you to balance your work and personal lifeUnlimited home office to help you stay productive and focusedOpportunities for professional development, including certifications and trainingAdditional benefits for academic teaching and speaking engagementsKnowledge-sharing sessions where you can learn from our Dreamix teamTeam and company-wide events that bring us togetherAmazing week long summer office and winter office initiativesAdditional health insurance and dental allowance to ensure your well-beingMultisport card to encourage a healthy and active lifestyleOffice massages to help you relax and unwindIf you are interested in the opportunity, send us your CV!Only shortlisted candidates will be contacted. The confidentiality of all applications is assured!By applying for this job, you voluntarily agree and submit your personal information. Any personal data that you provide will be processed in strict confidentiality by Dreamix ltd. only for the purposes of selection and recruitment and will not be transferred to other data controllers unless required by law. It will be stored, processed, retrieved, and deleted in accordance with the GDPR.Originally posted on Himalayas

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