Jobs

👋 About OWN Health

OWN Health is building the world’s first secure AI Health Account — a personalized digital health companion that helps users understand, manage, and improve their well-being. The platform integrates medical data, wearables, biomarkers, nutrition, fitness, and lifestyle into one unified ecosystem to provide preventive, data-driven insights.

We are a Berlin-based health-tech startup backed by leaders from Charité and N26, currently preparing our MVP launch and scaling our AI-powered health agents.

Overview

As a Prompt Engineer at OWN Health, you will design, optimize, and maintain high-performing prompt systems that power our AI health agents — Medical, Nutrition, Fitness, and Lifestyle — and our Master AI Orchestrator.
Your work will bridge the gap between medical semantics, user experience, and AI reasoning.

Key Responsibilities

• Develop and refine prompt architectures for multi-agent health dialogues (context-aware and privacy-safe).
• Collaborate with product, medical, and data teams to ensure clinical accuracy and empathy in AI responses.
• Implement structured prompting frameworks (e.g., role-based, chain-of-thought, multi-agent orchestration).
• Create evaluation loops and test suites to benchmark AI response reliability, personalization, and tone.
• Collaborate with the engineering team to optimize retrieval-augmented generation (RAG) pipelines.
• Maintain prompt libraries, version control, and documentation for scalability.
• Continuously explore the frontier of LLM behavior, token efficiency, and fine-tuned domain prompting.

Ideal Candidate Profile

• 2+ years of hands-on experience designing or optimizing prompts for LLMs (OpenAI, Anthropic, or similar).
• Strong understanding of prompt engineering strategies (few-shot, multi-turn context management, dynamic prompting).
• Background in linguistics, NLP, cognitive science, or AI systems design.
• Interest in healthcare, wellness, and medical data interpretation.
• Familiarity with structured data integration (FHIR, Apple HealthKit, wearable APIs) is a plus.
• Experience with tools such as LangChain, LlamaIndex, OpenAI Function Calling, or custom API wrappers.
• Strong communication and collaboration skills — comfortable working cross-functionally with clinicians and product designers.

You Will Thrive Here If You

• Love combining AI reasoning with human empathy.
• Care deeply about precision, tone, and ethical communication in health contexts.
• Enjoy iterating quickly in a fast-paced, ambitious startup.
• Want your work to directly impact how millions of people understand and prevent disease.

What We Offer

• Early ownership and the opportunity to shape the core intelligence of the OWN AI ecosystem.
• A highly collaborative team with experts in medicine, AI, and product design.
• Competitive compensation (salary or equity options).
• Flexible remote-first work setup.
• A mission-driven culture focused on human health, prevention, and ethical AI.

About the Project
 

We’re building a project at the intersection of Generative AI, Large Language Models (LLMs), and prompt engineering. This is a practical, hands-on opportunity to work with modern AI technologies and learn how real-world systems are designed, tested, and deployed.

You’ll be working under the mentorship of an experienced AI/ML engineer with 10+ years of industry experience, so you’ll get direct guidance, code reviews, and exposure to best practices in applied machine learning and AI product development.

What You’ll Do
 

• Assist in developing and fine-tuning LLM-based systems and generative models.
• Experiment with prompts, embeddings, and model behaviors.
• Support data preparation, cleaning, and evaluation workflows.
• Help design and run small-scale AI experiments and benchmarks.
• Contribute ideas to improve model reliability, UX, and automation.

What We’re Looking For
 

• Basic knowledge of Python and familiarity with AI/ML frameworks (e.g., PyTorch, Transformers, OpenAI API, etc.).
• Understanding of how LLMs and generative AI systems work conceptually.
• Curiosity, initiative, and willingness to learn fast.
• Students in Computer Science, Applied Mathematics, Data Science, or related fields are encouraged to apply.

What You’ll Gain
 

• Mentorship and guidance from a senior AI engineer.
• Hands-on experience with cutting-edge AI tools and workflows.
• Real contributions to a production-grade AI project.
• Potential for long-term collaboration after the internship.

Why This Role Is Great for You
 

If you’re eager to move beyond tutorials and actually build AI systems that do real things, this role will give you both the skills and the confidence to step into the professional AI world.

Responsibilities:
    •    Design, develop, and deploy machine learning models to solve business problems such as revenue forecasting and member risk prediction (e.g. churn).
    •    Build end-to-end ML pipelines from data ingestion to model deployment using AWS services.
    •    Develop and deploy LLM-based applications and AI agents on AWS Bedrock.
    •    Implement RAG (Retrieval-Augmented Generation) architectures for enterprise AI use cases.
    •    Work with large volumes of data to perform feature engineering, data preprocessing, and model optimization.
    •    Write optimized SQL queries for analytics, model training datasets, and data validation.
    •    Build scalable ML APIs and microservices for real-time and batch inference.
    •    Collaborate with engineering, product, and data teams to define ML-driven solutions.
    •    Apply MLOps best practices for versioning, monitoring, CI/CD, and production reliability.
    •    Conduct A/B testing, model evaluation, and model performance tracking.
    •    Document solutions and communicate progress clearly in strong English.

⸻

Must Have Qualifications:
    1.    5+ years of hands-on experience in Machine Learning development and deployment in production.
    2.    Strong expertise in XGBoost and classical ML algorithms (LightGBM, Random Forest, etc.).
    3.    Proven experience with predictive modeling (forecasting, classification, risk scoring).
    4.    Strong SQL skills (data analysis, ETL, performance tuning).
    5.    Advanced Python skills (pandas, NumPy, scikit-learn).
    6.    Hands-on experience with AWS Bedrock and building AI/ML agents.
    7.    Strong AWS experience building solutions using S3, Lambda, Glue, Step Functions.
    8.    Experience applying MLOps concepts (CI/CD pipelines, Deployment, Monitoring).
    9.    Strong English level required (written and spoken).
    10.    Ability to work independently and solve complex problems.

⸻

Preferred Qualifications:
    1.    AWS certifications (ML Specialty, Solutions Architect is a plus).
    2.    Experience with Amazon SageMaker (training, tuning, deployment).
    3.    Experience building RAG pipelines with embeddings and vector search.
    4.    Knowledge of Amazon Redshift, RDS, and AWS data architecture.
    5.    Experience with Docker and containerized deployments.
    6.    Familiarity with MLflow, Kubeflow, or SageMaker Pipelines.
    7.    Experience working with enterprise-scale datasets and distributed computing.
    8.    Background in Generative AI or NLP systems development.
    9.    Knowledge of API development using FastAPI or Flask.
    10.    Familiarity with Git, Jira, and Agile development processes.

Preferred working hours: 11am-7pm CET

Softcery builds advanced AI systems for B2B SaaS companies. We partner with founders in the US and UK to design, build, and scale production-ready AI solutions that solve real business challenges. Our team focuses on complex AI engineering — systems that are technically robust, business-aligned, and built to scale. We combine deep technical expertise with strong product thinking, helping companies move from AI ambition to real, production impact

We are looking for a Trainee AI Developer who is passionate about AI, has a strong technical background, and wants to grow fast through real projects and mentorship. You’ll work side-by-side with experienced engineers, get mentorship, and see your code go into real products.

 

What You’ll Do:

• Support AI integrations — connect, configure, and test LLMs (OpenAI, Anthropic, Mistral, etc).
• Assist in developing AI-based products — chatbots, voice agents, and automation tools.
• Research and test new AI models and APIs.
• Work closely with experienced developers — learn how to integrate AI features into production systems.
• Take part in internal experiments and prototypes to strengthen your practical skills.

What We’re Looking For:

• 4th+ year student or recent graduate in AI, Computer Science, or a related field.
• Solid knowledge of Python — you’ve built pet projects or coursework with it.
• Basic experience with LLMs  and eagerness to experiment with them.
• Familiarity with SQL and data structures.
• Passion for AI and curiosity about real-world applications.
• English — Upper-Intermediate or higher.

Nice to Have:

• Experience with small AI or ML projects (personal, academic, or internship).
• Familiarity with APIs and basic web development.
• Knowledge of Git and workflow in small dev teams.

What We Offer:

• Structured onboarding & mentorship — you’ll get a clear onboarding plan, documented workflows, and a team that’s got your back.
• Flexible remote schedule — work from wherever and whenever you’re most productive.
• Learning budget — we cover books, courses, English lessons, and AI tools for your professional growth.
• Full accounting support — so you can focus on the work, not the paperwork.
• Time off — 20 paid vacation days, 12 sick days, 2 paid period leave days/month (for women), and your birthday off.
• IT Cluster membership — access to professional events and networking opportunities in the local tech community.
   

🔁 Hiring Process: Recruiter Interview → Tech Interview → Test Task → Final Interview.

If you’re eager to kickstart your career in AI, learn from real projects, and grow in a supportive team — we’d love to meet you 👋

Lasker.ai is developing an intelligent AI assistant for Amazon sellers — helping them manage products, reduce account risks, and make smarter business decisions.

Powered by official data and advanced AI analysis, our assistant delivers clear guidance, personalized recommendations, and visual insights to improve listings, pricing, and overall performance on Amazon.

We’re now looking for an experienced AI Automation Engineer to design, prototype, and scale next-generation agentic AI workflows.

💡 What you’ll do

• Build and automate AI-powered workflows (RAG, text-to-SQL, and beyond)
• Engineer and optimize prompts for real-world performance
• Prototype quickly, iterate, and bring ideas into production
• Translate business goals into scalable, maintainable technical workflows
• Integrate APIs, connect data pipelines, and ensure seamless automation

🧠 What we’re looking for

• 5+ years in backend or data engineering
• 1–2 years of LLM product development (since 2023)
• Proven portfolio of automation projects
• Strong prototyping and problem-solving mindset
• Solid grasp of business logic and system architecture
• Proficiency in Python
• Good understanding of SQL/NoSQL databases
• Experience with Git and cloud platforms (AWS, GCP, or Azure)

⚙️ Tech stack

• LLMs & Prompt Engineering: GPT-4, Claude, API integration, prompt optimization
• Workflow Automation: LangChain, n8n, or similar
• Low/No-Code Platforms: rapid functional web app development
• AIOps / MLOps: monitoring, observability, and deployment of AI systems
• APIs & Integrations: REST, webhooks, authentication

✨ Join us at Lasker.ai — and help build automation that thinks.

We are elai.io, an innovative AI-driven startup specializing in video generation. Recently acquired by Panopto — a leader in interactive video solutions — we’re now part of a growing team of around 200 professionals focused on advancing learning through powerful, interactive video technology.

We’re looking for  AI Engineers to join our team and help maintain the stability and quality of our AI-driven video generation platform.

In this role, you’ll be responsible for investigating and resolving issues within the avatar generation process, improving model reliability, and ensuring consistent performance across different use cases.

Must-have skills

• Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. 
• Experience: 1+ years of relevant project or internship experience with model training, evaluation, and deployment. 
• Technical Skills: Proficiency in Python, data science, CV, and ML libraries (scikit-learn, NumPy, OpenCV, etc.), and a major ML framework (PyTorch or TensorFlow). Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). 
• Attributes: Solid grasp of fundamental ML concepts and a strong desire to learn and collaborate.

Key responsibilities

• Data & Models: Prepare data for training; implement and run ML models based on existing designs.
• Experimentation: Execute and document ML experiments, reporting key results to the team.
• Code Contribution: Write, test, and maintain clean code for ML pipelines and components.
• Collaboration: Work with senior staff to understand requirements and learn best practices.

We offer

• Competitive salary based on qualifications and contributions
• Paid vacation and sick leaves
• Flexible working hours
• Opportunity to work with a highly qualified international, friendly team
• Fully remote work

Have you ever dreamed of joining a promising early-stage startup as one of the first employees?

Here’s your opportunity to join our journey!

🌕 About Yolk

Yolk is a VC-backed startup (Investors of Anthropic, Groq, Tentsornet)  on a bold mission: To build the best sales departments in the world with elite AI coaching available to every team. Our AI sales coach helps revenue teams catch deal-killing mistakes before they hit your forecast—sharpening discovery, objection handling, negotiation, and more. We’re not just replacing traditional corporate training; we’re lifting win rates, shortening ramp, and unlocking millions in new revenue.  Being the #1 AI coach is big. That’s where you come in.

🌟 The Opportunity

We are looking for an exceptional Founding Engineer to help shape the foundation of our AI-driven product, technology, and culture. This is a unique chance to take ownership of critical technical decisions and directly influence the company's direction. 

This role is ideal for someone who thrives at the intersection of applied ML and hands-on product engineering. You’ll be building systems where LLMs are the core technology shaping the product and our competitive edge.

🎯 Responsibilities & Impact

In this role, you will:

- Own the design and development of our insights platform with LLMs as a core layer.
- Build evaluation-first systems for LLMs, retrieval, and tool-calling.
- Develop end-to-end loops: data → models → metrics → CI.
- Partner with customers and the founding team to turn sales workflows into measurable, coachable behaviors.
- Instrument everything (tracing, A/Bs, guardrails) and automate improvement with LangGraph/LangChain.

Core Team: Yes

REQUIREMENTS

🛠 Requirements

- 3–7+ years in applied ML, data-heavy backend, or agentic LLM systems.
- Proven ability to design, build, and ship production LLM features.
- Experience in fast-paced, ambiguous environments shaping product and platform.
- Strong evaluation mindset; clear trade-offs without hand-waving.
- Excellent communication across engineering, Sales, and Success.
- A builder’s mindset with bias to simplify and ship weekly.
- Hands-on with Python, TypeScript, vector stores, embeddings, retrieval, observability, CI/CD.
- Comfortable with Docker, k8s, and GitHub Actions.

🚫 Who This Role Isn’t For

- Engineers who want to manage people and avoid hands-on building.
- Corporate-minded architects who expect massive infrastructure and rigid processes.
- Those seeking the order and stability of big-company environments—priorities here shift fast.
- Candidates looking for fully remote work - at this stage, we collaborate best in-person.

🌟 Why You’ll Love Working at Yolk

- Ground-floor ownership: Shape the core AI systems at a fast-moving, venture-backed startup.
- High visibility & impact: Work directly with the CEO and leadership team.
- Dual mandate: Ship customer-facing features now, build the ML platform for tomorrow.
- Upside: Competitive salary, stock options, and the chance to share in our success.
- Culture: A dynamic, collaborative, and supportive team that moves fast and wins together.

FAVBET Tech develops software that is used by millions of players around the world for the international company FAVBET Entertainment.

We’re looking for an experienced AI/ML Engineer with a strong focus on deploying and maintaining machine learning models in production. The ideal candidate has hands-on experience with CI/CD for ML, AWS SageMaker (or similar tools), and a solid understanding of MLOps practices and ML infrastructure. 
 

Responsibilities:

• Work on continuous product improvement.
• Collaborate with marketing and product teams to understand business needs and deliver data-driven solutions.
• Design, develop, deploy, and maintain advanced machine learning models.
• Enhance and optimize existing machine learning models.
• Analyze large-scale datasets to uncover actionable insights that drive business and product outcomes.
• Clearly present analytical findings and model results to business stakeholders.
   

Requirements:

• At least 3 years of experience in designing and implementing modern ML solutions.
• Proficiency in data mining and analysis.
• Strong knowledge of Python, including libraries such as scikit-learn, LightGBM, Keras/PyTorch/JAX.
• Proficiency in SQL, including writing optimized queries.
• Experience with version control systems (e.g., GitHub, GitLab, Bitbucket).
• Experience with cloud data platforms (preferably AWS) for ML tasks (S3, Athena, RDS, Redshift, Lambda, SageMaker, ECR).
   

Would be a plus:

• Deep experience with MLOps tools and practices (e.g., SageMaker, CI/CD, MLflow, DVC).
• Experience with feature stores.
• Hands-on experience in designing, running, and interpreting A/B tests.
   

We offer:

• 30 days off — we value rest and recreation.
• Medical insurance for employees and the possibility of training employees at the expense of the company, and gym membership.
• Remote work or the opportunity — our own modern lofty office with spacious workplace, and brand-new work equipment (near Pochaina metro station).
• Flexible work schedule — we expect a full-time commitment, but do not track your working hours.
• Flat hierarchy without micromanagement — our doors are open, and all teammates are approachable.

At Uvik Software, we build dedicated development teams and deliver cutting-edge software solutions for global clients. As we expand our AI & Machine Learning division, we’re looking for a AI/Machine Learning Engineer excited to explore real-world intelligent systems.

This is a great opportunity to join a collaborative, innovation-driven team, work with modern ML technologies, and grow your expertise through challenging and meaningful projects.

🔎 What You’ll Work On

• Designing, developing, and experimenting with Generative AI models (LLMs, GANs, VAEs, diffusion models, etc.).
• Applying and fine-tuning machine learning and deep learning algorithms for real applications.
• Building and maintaining scalable ML pipelines and data workflows in the cloud (AWS, GCP, or Azure).
• Supporting MLOps practices — automation, monitoring, and CI/CD for ML systems.
• Collaborating with cross-functional teams to turn AI ideas into working solutions.
• Staying up to date with the latest AI research and trends to help shape future projects.

💼 What We’re Looking For

• Solid hands-on experience in Machine Learning, Deep Learning, or Data Science.
• Strong programming skills in Python and familiarity with frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of LLMs, vector databases, or retrieval-augmented generation (RAG).
• Knowledge of cloud services (AWS / GCP / Azure) and best practices for deploying ML models.
• Good communication skills and English level B2+.

💡 Nice to Have

• Understanding of Generative AI concepts or a willingness to dive deep into this area.
• Familiarity with tools such as LangChain, LlamaIndex, or Hugging Face Transformers.
• MLOps experience — MLflow, Airflow, or Kubeflow.
• Publications, open-source contributions, or active participation in the AI community.

🚀 Why Join Uvik

• 🌐 Remote-first — work from anywhere in the world.
• 🤝 Collaborative environment with a strong tech culture.
• 💼 Global projects in AI/ML and enterprise software.
• 🕓 Flexible hours and clear career growth path.
• 🎓 Continuous learning — conferences, internal training, and mentoring support.
   

If you’re curious about AI innovation, eager to build systems that learn and create, and ready to grow with a team that values your ideas, we’d love to meet you.

📩 Apply now and let’s shape the future of AI together.

We are currently seeking a skilled and driven Senior AI/ML Engineer to join our R&D team.

We believe that you have:

• In-depth knowledge of Machine Learning (ML) and Deep Learning (DL) principles
• A minimum of 3 years of experience working as a Software/ML Engineer
• Strong proficiency in Python programming and ML related libraries and engines
• Experience with AI Agents
• Proven experience in prompt engineering, Large Language Models (LLM)
• LLM Fine-tuning: Experience in fine-tuning pre-trained language models for specific tasks or domains
• LLM Frameworks and Tools: Langchain / LlamaIndex or other + familiarity with other relevant frameworks such as Transformers, GPT-Index, or FAISS
• Experience with one or more machine learning libraries such as TensorFlow, Keras, PyTorch
• Ability to extract meaningful business insights from data and identify the stories behind the patterns
• Willingness to work in an R&D team with shifting priorities and actively engage in PoC initiatives.

• Intermediate or higher level of English proficiency

   

Cool to have:

• Experience with Computer Vision
• Expirience with LLMOps
• DevOps & MLOps: CI/CD pipelines, Docker, Kubernetes
• Experience with SQL, NoSQL and Vector databases

• Experience with NLP, NLU, Semantic Search

   

Responsibilities:

• Collaborate closely with the web development team to design, develop, and deploy machine learning models
• Develop new machine learning models or enhance existing ones to meet project requirements

• Monitor and maintain machine learning models in production, ensuring their optimal performance and stability

   

We offer:

• Flexible schedule
• Horizontal management and communication directly with project stakeholders
• 20 days of paid vacation
• Paid sick-leaves
• Annual activities budget — we endorse your wish to self-improvement
• Remote work

EXITEK team is looking for a Machine Learning Engineer. We're expanding our development team and looking for a passionate, experienced, self-organised candidate to work on our BeautyUp app (https://apps.apple.com/us/app/id1671843069).

Responsibilities:

• Design, develop, and optimize state-of-the-art computer vision pipelines, algorithms and models;
• Conceive and experiment with innovative features and functionalities in the realm of photo editing and enhancement;
• Collaborate with cross-functional teams to integrate machine learning models into production systems and pipelines.

Requirements:

• Proficiency in Python and PyTorch;
• Experience in Computer Vision (GANs, SD, etc.) is a must;
• Deep understanding of the current state of the art in machine learning and computer vision;
• Robust communication skills, complemented by the ability to thrive in a collaborative team environment.

We are looking for a Deep Learning Engineer with strong expertise in Computer Vision to join our R&D team.
You’ll work on developing, training, and optimizing deep learning models for image recognition, detection, segmentation, and generation tasks, contributing to innovative AI-powered solutions in production environments.

🔹 Responsibilities:

• Research, develop, and train deep learning models (focus on Computer Vision).
• Design and implement model architectures for classification, detection, segmentation, and tracking.
• Experiment with CNNs, detectors, and style transfer techniques.
• Prepare, clean, and label datasets; evaluate data sufficiency for ML tasks.
• Deploy trained models into production environments.
• Collaborate with AI, backend, and design teams to integrate models into real products.
• Regular reports preparation for key stakeholders.

🔹 Required knowledge and skills:

• 3+ years of experience in deep learning model development & research (Computer Vision).
• Deep understanding of CNNs and popular detector architectures.
• Strong theoretical knowledge of machine learning and deep learning.
• Hands-on experience with:
  Python, NumPy, Pandas, scikit-learn, OpenCV, Docker, PyTorch.
• Experience in classification, detection, segmentation, and tracking tasks.
• Experience deploying models into production.

• Experience with dataset labeling and understanding data sufficiency for ML tasks

   

🔹 Will be a plus:

• Experience with 3D image generation or CAD-based AI tasks.
• Experience with image generation models (GANs, diffusion, etc.).
• Familiarity with MLOps pipelines or cloud deployment (AWS, GCP).
• Publications or research in Computer Vision field.

• Project Description:

  We are seeking a Palantir Foundry & AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir's Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP.

• Responsibilities:

  • Data & Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.
  • AIP & AI Enablement:
  o Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
  o Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
  o Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
  o Collaborate with senior engineers on agent design, instructions, and evaluation using AIP's native features.
  • End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications.
  • User Engagement: Provide training and support for business teams adopting Foundry and AIP.
  • Governance & Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
  • Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.

• Mandatory Skills Description:

  Required Qualifications:
  • 10+ years of overall experience as a Data and AI Engineer;
  • 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications).
  • Strong technical skills in Python, PySpark, SQL, and data modelling.
  • Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications.
  • Ability to work independently and engage directly with non-technical business users.
  • Strong problem-solving mindset and ownership of delivery.
  
  Preferred Qualifications:
  
  • Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing).
  • Exposure to AIP Evals and evaluation/test-driven approaches.
  • Experience with integration patterns (APIs, MCP, cloud services).
  • Consulting or applied AI/ML background.
  • Experience in Abu Dhabi or the broader MENA region.

• Languages:
  • English: C2 Proficient

Position overview

We are seeking a highly skilled AI & ML Engineer to join our innovative team. In this role, you will lead the development, optimization, and deployment of advanced machine learning and artificial intelligence models. You will drive state-of-the-art research, build scalable pipelines, and collaborate with cross-functional teams to translate business needs into effective ML solutions.

This position offers the opportunity to work on cutting-edge technologies in a dynamic, fast-paced environment, contributing to impactful projects that power next-generation AI applications.

Responsibilities

• Design, implement, and optimize machine learning and AI models, including classification, regression, clustering, and agent tuning.
• Experiment with the latest methods, frameworks, and architectures to enhance model performance and efficiency.
• Develop robust, scalable ML pipelines for training, validation, and inference.
• Deploy ML models into production environments (cloud or on-prem), ensuring high reliability, low latency, and scalability.
• Apply MLOps best practices including CI/CD, monitoring, automated retraining, and model registry management.
• Partner with data engineering teams to source, clean, and transform large datasets for model training and inference.
• Ensure high data quality, perform feature engineering, and support real-time data integration processes.
• Work closely with data scientists, software engineers, and product managers to align ML solutions with business goals.
• Clearly communicate complex technical results to both technical and non-technical stakeholders.
• Provide technical guidance and mentorship to junior ML engineers and data scientists.
• Contribute to establishing team best practices, code reviews, and architectural decisions.
   

Requirements

• 5+ years of professional experience in machine learning, AI engineering, or related fields.
• Master’s degree in Computer Science, Machine Learning, Physics, or related field; PhD preferred.
• Proficient in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Strong understanding of algorithms, statistics, probability, and linear algebra.
• Hands-on experience with data pipelines and ETL tools (e.g., Spark, AWS Lambda, AWS Glue).
• Practical experience with cloud platforms, preferably AWS.
• Solid software engineering fundamentals including version control (Git), testing, and design patterns.
• Demonstrated success in deploying ML models into production at scale.
• Familiarity with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work autonomously and collaboratively within a fast-paced, cross-functional team environment.
   

Nice to have

• Experience with agentic frameworks like LangChain or LangGraph

Position overview

We are seeking an AI Engineer with a strong software engineering background, proficient in Python and modern cloud-native technologies. The ideal candidate has hands-on experience with Snowflake, BigQuery, or AWS data platforms and solid expertise in data engineering, including ETL, Spark, Spark Streaming, Jupyter Notebooks, data quality, and medallion architecture and design.

Experience with machine learning best practices such as model training, evaluation, and weighting is essential.

Responsibilities

• Design, develop, and deploy scalable AI and machine learning models.
• Build and maintain data pipelines and ETL processes using Spark, Spark Streaming, and related tools.
• Ensure high data quality and implement medallion architecture design principles.
• Collaborate with data scientists, engineers, and product teams to translate requirements into technical solutions.
• Implement best practices for model training, evaluation, and performance tuning.
• Develop, integrate, and maintain AI agents and conversational AI solutions where applicable.
   

Requirements

• Strong software engineering skills (Python, cloud-native stacks)
• Hands-on experience with Snowflake, BigQuery, or AWS data platforms
• Solid data engineering experience (ETL, Spark, Spark Streaming, Jupyter Notebooks, data quality, medallion architecture)
• Knowledge of machine learning best practices (model training, evaluation, weighting)
   

Nice to have

• Experience building AI agents (Langchain, Langgraph, OpenAI Agents, PydanticAI)
• Experience building conversational AI agents (AI chats, Evaluation-Driven Development)