Jobs ML / AI

We are seeking a highly skilled Lead AI Engineer to design, integrate, and optimize AI-driven solutions across our platform. This role will focus on integrating existing AI tools and services, enhancing data processing and analysis workflows with AI, and laying the technical foundation for advanced AI capabilities.

You will work closely with backend, frontend, and product teams, and over time, grow into an AI Lead position, shaping the long-term AI strategy and architecture.

Key Responsibilities

AI Integration & Architecture

• Integrate and orchestrate third-party and in-house AI/ML tools (e.g., LLMs, embeddings, vector databases, AI APIs).
• Design scalable AI-powered services that integrate seamlessly with existing systems.
• Evaluate new AI technologies and tools, and recommend adoption based on business impact.

Data Processing & AI Optimization

• Optimize data pipelines for AI-driven processing, analysis, and automation.
• Apply AI techniques to improve data quality, insights generation, and operational efficiency.
• Collaborate with data and product teams to translate business needs into AI solutions.

Backend & Frontend Collaboration

• Build and maintain AI-enabled backend services using Python, AWS, and RESTful APIs.
• Expose AI capabilities via well-structured APIs for frontend consumption.
• Work with frontend engineers to integrate AI features into React applications.

Scalability, Reliability & Security

• Ensure AI solutions are production-ready, scalable, cost-efficient, and secure.
• Monitor performance, latency, and accuracy of AI systems in production.
• Implement best practices for model versioning, observability, and responsible AI use.

Leadership & Growth

• Act as a technical mentor for engineers working with AI-related features.
• Contribute to defining AI standards, best practices, and long-term roadmap.
• Gradually take ownership of AI architecture and strategy, growing into an AI Lead role.

Required Qualifications

• 5+ years of relevant experience in software engineering, machine learning, or AI-focused roles.
• Strong proficiency in Python, with experience building production backend systems.
• Hands-on experience with AI/ML integration, including LLMs, ML APIs, or AI platforms.
• Experience with AWS (e.g., EC2, Lambda, S3, SageMaker, or similar services).
• Solid understanding of RESTful API design and microservice architectures.
• Experience collaborating with frontend teams using React or similar frameworks.
• Strong knowledge of data processing, analysis pipelines, and performance optimization.
• Ability to design systems that balance experimentation with production reliability.

Nice to Have

• Experience with MLOps, model deployment, and monitoring.
• Familiarity with vector databases, retrieval-augmented generation (RAG), or agent-based systems.
• Experience optimizing AI cost, latency, and inference performance.
• Prior experience mentoring engineers or leading technical initiatives.
• Exposure to AI ethics, governance, and compliance considerations.

What We Offer

• Opportunity to build and scale AI capabilities in a real-world production environment.
• Clear growth path toward an AI Lead position with strategic ownership.
• High level of autonomy and technical influence.
• Collaborative environment working across backend, frontend, and product teams.
• Competitive compensation and benefits, commensurate with experience.

About the project

You will be joining an organisation that builds decision-support systems used in environments where reliability and precision are non-negotiable. Their work combines advanced modelling, simulation, optimisation, and machine learning to help organisations operate with confidence under uncertainty. These systems support complex, operationally critical processes where the consequences of good or bad decisions may play out over months or years.

The team you’ll work with consists of individuals with deep experience in engineering, data science, and analytical problem-solving. They operate in high-stakes contexts where clarity, mathematical rigour, and operational awareness matter. Their focus is on building technology that works in the real world — systems that must stand up to ambiguity, incomplete information, and complex constraints.

As a Forward Deployed Engineer, you will be embedded directly into these environments. You’ll sit between engineering teams and domain experts, helping shape solutions, validate ideas, and build the technical bridges that make advanced decision engines work in messy, real-world scenarios.

About the role

As a Forward Deployed Engineer, you will own the technical execution of projects on the ground. When the platform meets real-world complexity, you will be the one who identifies solutions, implements prototypes, builds integrations, and turns abstract models into production-ready components.

You’ll bridge engineering, modelling, and stakeholder needs - helping turn uncertainty into structure, ideas into working systems, and high-level requirements into technical reality.

What you’ll actually do

• Discover opportunities and frame technical problems in complex operational environments.
• Translate ambiguous business requirements into technical specifications and modelling approaches.
• Lead technical conversations with key stakeholders, domain experts, and engineering teams.
• Design and execute proof-of-concepts that demonstrate measurable progress.
• Build bespoke integrations and data pipelines that connect decision engines to client systems.
• Work hands-on with simulation, optimisation, or ML components to customise solutions.
• Contribute to productionisation efforts, working closely with core engineering teams.
• Bridge communication between engineering, modelling, and operational stakeholders.

• Bring structure, clarity, and momentum to high-pressure, fast-changing situations.

   

About you

• You don’t shy away from operational complexity or ambiguous problem spaces.
• You excel at turning real-world challenges into technical models and working systems.
• You have strong foundations in a quantitative field (e.g., Math, Physics, Computer Science, Engineering, Economics, or similar).
• You’re comfortable writing pragmatic, production-aware code (Python experience preferred).
• You understand the difference between experiments, prototypes, and production systems — and can operate effectively at each stage.
• You enjoy working directly with stakeholders, guiding conversations, and making technical ideas accessible to non-technical audiences.
• You’re curious about decision-making, optimisation, simulation, or ML — and motivated to apply these methods to messy real-world problems.
• You can work independently, analyse constraints, propose solutions, and execute quickly.

• You are very good in English and comfortable communicating with senior stakeholders.

   

What you’ll gain

• Real impact: Your work will shape systems that support critical, high-stakes operational decisions.
• Technical growth: Exposure to state-of-the-art optimisation, simulation, and ML techniques.
• Learning: Direct access to senior engineers and technical leaders with deep experience in complex environments.
• Visibility: Meaningful responsibility from day one — including technical decisions and stakeholder interaction.
• Compensation: Competitive salary based on experience.

Working conditions

• Remote role
• Full-time
• Work schedule: 5 days a week, Saturday and Sunday — days off
• Flexible work schedule and autonomy in planning your time
• All payments are made in euros
• An open sole proprietorship or the ability to open one is required
• Paid vacation and sick leave

We seek an AI Engineer with strong expertise in state-of-the-art techniques for RAG, LLM Agents. You will be responsible for designing, developing, and deploying AI-driven solutions for our Clients and in-house solutions. The ideal candidate has hands-on experience with a wide range of techniques in modern Agents development.

🧙‍♂️ In This Role You Will

• Develop AI agents, including chat agents and metric extraction agents.
• Create evaluation pipelines for agents, including tool usage and RAG (Retrieval-Augmented Generation) assessments like coherence and relevance.
• Improve results from Qdrant & Azure AI Search.
• Research and apply state-of-the-art techniques for agents and RAG systems.
• Maintain and support evaluation datasets.
• Write documentation for back-end integration or handle integration directly when needed.
   

🎯 You May Be Interested If

• You are excited about learning and working with AI technologies.
• You enjoy solving complex problems and have strong analytical skills.
• You thrive in a remote work setup and appreciate flexible working hours.
• You are eager to join a small, dynamic team and make a big impact.
• You value a company culture that promotes transparency, respect, and continuous learning.
• You are self-motivated and willing to learn new skills.
• Active code agents user.
   

🍰 Role Requirements

Agents

• Experience in LLM Agents architecture (not only Langchain)
• Qdrant (Must have), Azure AI Search, BM25 experience
• Semantic Reranking
• RAG evals (embeddings, LLM as a Judge)
• RAG (Naive, Graph, Hybrid, Agentic)
• Experience in different data mining techniques from unstructured data
• OCR
• PydanticAI

Web

• Django (DRF)
• Fastapi
• Celery

Infrastructure

• Azure Cloud
• Docker
   

💻 Working Conditions

• This is a fully remote position with the entire team across Ukraine.
• The team collaboratively defines deadlines, ensuring a balanced and manageable workload. The focus is on delivering commitments on time.
• 20 working days of paid vacation per year.
• Financial compensation for completing certifications and encouraging continuous learning and professional development.
• Preferred working hours: To ensure effective collaboration with our US-based client, the workday is shifted to the afternoon/evening. The 8-hour workday is scheduled within the 12:00 – 23:00 (Kyiv time) window, with the specific shift to be coordinated based on the required overlap

We are seeking a skilled AI Video Creator (Amazon/E-commerce) to produce high-performing, conversion-focused videos for Amazon. The ideal candidate combines expertise in AI video tools with a strong sense of cinematic storytelling and eCommerce strategy, creating impactful short-form content that drives results. You’ll lead the production of AI-generated videos and collaborate with the Creative and PPC teams to align storytelling with data-driven marketing goals.

This is a Full-Time remote role.

We are looking for an AI Video Creator (Amazon/E‑commerce) specifically with these requirements:

• Excellent English written and verbal communication skills.
• Proven experience producing AI-generated videos using tools such as Runway Gen-3, Sora, Veo, Pika, or Krea.
• Strong understanding of Amazon creative strategy and eCommerce conversion design.
• Video editing expertise in Premiere, After Effects, or CapCut.
• Ability to write and refine cinematic prompts with clear structure, lighting, and motion.
• Ability to collaborate with creative and PPC teams to align storytelling with marketing insights.
• Deep appreciation for visual aesthetics and storytelling principles.
• Motivated to push the boundaries of what AI-generated visuals can achieve.
• Detail-driven and self-sufficient in managing multiple creative projects.
• Willingness to continuously learn and adopt new AI tools and techniques.

Your responsibility will include (but not limited to):

• Concept, prompt, and produce short-form AI videos optimized for Amazon PPC (5–20 second ads, lifestyle loops, etc.).
• Use tools like Runway Gen-3, Pika, Google Veo, and OpenAI Sora to create cinematic product-focused content.
• Write and iterate structured prompts emphasizing composition, lighting, and motion.
• Maintain visual consistency across CGK’s product lines (sheets, bedding, and home essentials).
• Combine AI generations with editorial polish (cutting, color-correction, sound design, typography).
• Collaborate with the Creative and PPC teams to align visuals with data-driven marketing strategies.
• Stay current on AI video trends, contributing to internal standards and creative workflows.
• Assist in documenting and optimizing internal creative systems for scalability.

Growth Opportunities/Perks:

• Be part of an innovative team at the forefront of AI video creation in eCommerce.
• Opportunity to define CGK’s internal AI video standards and creative workflows.
• Potential to grow into a Lead AI Video Strategist or Creative Direction role.
• Collaborative, supportive, and forward-thinking company culture.
• Remote flexibility with growth potential within the creative department.

This Position Is Perfect For You If…

You're a visionary creator.
You think like a filmmaker, write like a prompt engineer, and test like a performance marketer.

You’re passionate about innovation.
You push AI tools beyond the generic, creating visuals that feel intentional, emotional, and unmistakably human.

You love storytelling that sells.
You understand that the best Amazon ads aren’t just “product videos”—they’re mini stories that drive conversion.

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

We are looking for a Middle ML & AI Engineer to join us as part of our team.

About the role

PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.

Team

Engineering Manager, 6 ML & AI Engineers.

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges.
• Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis.
• Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.
• Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.
• Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.
• Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources.

We’re looking for you if you have

• Bachelor’s/master’s degree in computer science, Machine Learning, Statistics, or related fields.
• 3+ years of experience in a similar role in a production environment.
• Experience in transformer-based language models
• Proficient in deep learning frameworks (i.e, TensorFlow and PyTorch)
• Demonstrated experience with natural language processing.
• Demonstrated experience with Python or other object-oriented programming frameworks.
• Demonstrated experience in using SQL for data extraction.
• Strong communication and data presentation skills.
• Strong problem-solving ability.
• Ability to communicate complex analysis in a clear, precise, and actionable manner.
• Experience working closely with software development team(s) is a plus.
• Experience building scalable systems in production is a plus.
• Knowledge of financial services, investment, banking, VC, and/or PE is desired but not required.

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview steps

1. Pre-Screening with the recruiter
2. Tech Interview + Live Coding (up to 1,5 hours)
3. System Design interview (up to 45 min)
4. Final interview with Engineering Manager (45 min)

About us

We’re a software outsourcing company that ships AI-powered products for EdTech and Healthcare clients. A big slice of our work is chat/voice conversational engines over knowledge bases and operational processes; we also build recommendation features, data pipelines, and full-stack integrations. We are cloud-agnostic and work across AWS and Azure (experience in either is a plus). Our delivery culture: lean Agile, CI/CD, code reviews, pragmatic documentation.
 

What you’ll do

• Design & build LLM applications: RAG over client KBs, multi-tool/agent graphs, prompt strategies, and voice UX (STT/TTS).
• Implement retrieval & data flows: ingestion, chunking, metadata/embeddings, hybrid retrieval, re-ranking, caching.
• Own evaluation & quality: latency/cost budgets, A/Bs.
• Automate with n8n (or similar): connect services, data, and back-office workflows; expose reliable admin ops for non-engineers.
• Ship pipelines: Airflow for orchestration; dbt for transformations/semantic layer where relevant.
• Productionize: tracing/observability, feature flags, safe rollouts, secrets & config hygiene.
• Collaborate with clients: discover scope, explain trade-offs, demo progress; optional presales spikes/estimates.

Must-have qualifications

• Strong Python (typing, tests, packaging) and web/service basics (FastAPI, Docker).
• Hands-on building LLM apps with one or more: LangChain, LangGraph, AutoGen, Dify (or equivalents).
• RAG end-to-end experience: corpus prep → embeddings → retrieval → re-rank → context assembly → measurable gains.
• Evaluation mindset: design offline eval sets and release gates; reason about faithfulness vs relevancy; control p95 latency & $/session.
• Cloud proficiency in AWS or Azure (using at least one in production).
• Comfort with observability (OpenTelemetry/LangSmith/Prometheus/Grafana or similar).
• English B2+; clear written & verbal client communication.

Nice to have

• Vector DBs: pgvector, Qdrant, Pinecone, Azure Cognitive Search (vector); rerankers (BGE/monoT5/Cohere/ColBERT).
• Voice: Azure Speech, Whisper; VAD/barge-in, turn-taking logic.
• Data stack: dbt, Airflow, event streams; data contracts.
• Workflow: n8n design for non-tech ops; governance of low-code automations.
• Frontend for AI UX (React/Next.js, TypeScript).
• Compliance awareness for EdTech (FERPA/COPPA) and Healthcare (HIPAA/GDPR).

Leveling expectations

Mid-level

• Implements features from clear designs; contributes to prompts, tools, retrieval tweaks.
• Writes reliable code and tests; adds tracing; participates in eval set curation.
• Operates one cloud (AWS or Azure); comfortable with n8n recipes and simple Airflow DAGs.

Senior

• Leads solution design E2E; chooses retrieval/agent patterns; defines latency/cost targets.
• Establishes eval harness & release gates; drives A/Bs and post-release monitoring.
• Shapes client scope & trade-offs; mentors others; improves platform reusable components.
• Comfortable across both clouds or deep in one; designs robust n8n/Airflow/dbt topologies.

Bitmedia Labs is an international product IT company that has been building ambitious innovative products for millions of users worldwide since 2014 — combining deep tech expertise with a creative mindset.

Our ecosystem spans:

• Game Development — building the next generation of Web3 gaming, where gameplay comes first, players own their assets, and developers thrive within massive, engaged communities.

• Digital Marketing Ecosystem — building a unified ecosystem that combines a leading high-performance advertising platform with emerging media and affiliate solutions.
 

Responsibilities:

• Train, fine-tune, and optimize ML models for production use cases;
• Build data processing pipelines, workflows, and background workers for AI inference
• Participate in model evaluation, hypothesis testing, and metric improvements
• Experiment with ML concepts, prototypes, and production-ready pipelines
• Support integration with LLM-based features and APIs
• Collaborate with product teams to implement ML-powered solutions that solve business problems
 

Requirements:

• 3+ years strong Python skills and experience with ML libraries (PyTorch, TensorFlow, Hugging Face)
• Basic experience with ML pipelines, training, and fine-tuning models
• Understanding of backend development and API design to integrate ML solutions into production systems
• Basic LLM knowledge (prompt engineering, API integration)
• Analytical mindset, problem-solving skills, and independence
 

Nice-to-Have:

•Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
• LLM APIs and prompt engineering experience
• Experience with Docker, cloud platforms, MLOps, CI/CD

 

Hiring process:
• Intro call with a Recruiter — Interview with the Hiring team — Сollection of recommendations — Offer.

Join Bitmedia Labs to evolve, explore, and make a real difference — together.
Our culture is built on openness, trust, and support. We value initiative, ownership, and results. We work as one team — helping each other, celebrating wins, and learning from challenges together.

We offer the freedom and space to grow:
• Professional growth and self-realization through ambitious products;
• The opportunity to bring your ideas to life, experiment, and directly influence the product’s development;
• Collaboration with talented teammates united by a shared goal.

We also care about well-being and balance:
• Flexible schedule and the option to work remotely or from our hubs in Kyiv, Warsaw, and Berlin;
• Competitive compensation, regular performance reviews, paid vacation, sick leave, and public holidays;
• Modern Apple equipment and thoughtful corporate gifts for holidays and personal milestones.
• Support for your growth: courses, workshops, and conferences.

Through our charity foundation Bit Spilka, run by volunteers from our team, we support the military, medics, and civilians across Ukraine — already delivering over $500,000 in aid. Here, your work also drives social impact, and you can also join our volunteer initiatives.

If this resonates with you , send your CV and join us.
Let’s foster the world together!

We are looking for a Senior Data Scientist with strong technical expertise and a practical mindset to work on complex data-driven challenges. In this role, you will design and implement ML and GenAI solutions, experiment with modern approaches, and transform ambiguous business problems into scalable, production-ready systems.

Requirements
Must-have

• 4+ years of experience in Data Science
• 4+ years of hands-on experience with Python
• Strong understanding of Machine Learning fundamentals, including:
  • regression and classification models
  • feature engineering and model evaluation
• Practical experience with LLMs and GenAI, including:
  • GPT / ChatGPT or similar LLMs
  • LangChain
  • Retrieval-Augmented Generation (RAG)
• Experience with EDA, data preprocessing, and basic dimensionality reduction (e.g. PCA)
• Hands-on experience with tree-based models (e.g. XGBoost)
• Experience building scalable and high-load solutions
• Ability to write clean, maintainable code
• Participation in technical and architectural decisions
  
  Nice to have
• Experience with NLP libraries (SpaCy, Hugging Face)
• Understanding of Explainable AI (XAI) and model interpretability
• Experience with cloud platforms (AWS / GCP / Azure)
• Ability to translate business problems into ML solutions

• Background in R&D, experimentation, or prototyping

  
  Key Responsibilities

• Design and develop scalable Data Science and GenAI solutions aligned with business goals.
• Build, evaluate, and optimize ML models, including:
  -linear models
  -gradient boosting (XGBoost)
  -NLP and LLM-based solutions
• Develop and productionize LLM-powered applications using LangChain and RAG approaches.
• Perform EDA, feature engineering, dimensionality reduction (PCA), and model evaluation.
• Apply XAI techniques to ensure model transparency and explainability.
• Contribute to data science architecture and solution design.
• Write clean, maintainable code and participate in code and design reviews.
• Optimize performance and reliability of high-load systems.
• Conduct R&D activities: explore new ML/GenAI techniques and assess their practical impact.
• Collaborate with engineering, product, and business teams to deliver impactful data-driven solutions.
  
  We offer:
• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary nominated in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

   

Responsibilities:

• Own and support core ML infrastructure (MLflow, CVAT, GPU/CPU cloud instances, internal data tools).
• Assist Data Engineers with deploying and maintaining data pipelines.
• Act as the primary contact for ML and Data teams on infra-related requests.
• Improve reliability and efficiency by adding automation, monitoring, and tooling enhancements.
   

Must have:

• Knowledge of Python, Terraform, Docker, Linux.
• Hands-on experience with cloud environments (Azure prefered).
• Understanding of the end-to-end ML lifecycle (data → training → evaluation → deployment → monitoring).

Nice to have:

• Familiarity with Kubernetes.
• Experience with FFmpeg or GStreamer for video processing and streaming.
• Experience with model serving frameworks and inference formats (ONNX, TensorRT, OpenVINO, NVIDIA Triton).
• Experience deploying computer vision models, especially to edge/embedded devices (NVIDIA Jetson, Intel platforms, Raspberry Pi).

• Надаємо бронювання від мобілізації

About the team:

The AI Platform team is a newly formed, high-impact group responsible for driving AI adoption across the entire organization. Reporting to a Team Lead, you will join a team of 4 engineers building cutting-edge AI solutions from the ground up. This is a unique opportunity to shape the AI strategy and tooling that will transform how the company operates.

The role:

As a Senior Software Engineer on the AI Platform team, you will design, build, and deploy production-grade AI systems that enhance productivity and decision-making across all business units. You will be a technical expert and advocate for agentic AI solutions, enabling engineering teams company-wide to leverage AI effectively.

Key Responsibilities:

•       Design and build Retrieval-Augmented Generation (RAG) systems to provide intelligent, context-aware solutions for internal and external use cases

•       Develop AI agents that automate workflows and enhance business processes across the organization

•       Serve as an internal expert on agentic AI, guiding and mentoring engineering teams on best practices for building and integrating AI agents

•       Evaluate, integrate, and deploy the latest AI technologies, frameworks, and models to keep the company at the forefront of innovation

•       Collaborate cross-functionally with product, engineering, and business stakeholders to identify high-impact AI opportunities

•       Contribute to architectural decisions and help shape the technical direction of the AI Platform

Required Qualification:

•       5+ years of software engineering experience with strong proficiency in Python, TypeScript, or Java

•       Experience with databases, both relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., MongoDB, Redis, Aerospike)

•       Experience building and deploying HTTP-based applications and APIs in production environments

•       Hands-on experience building RAG systems and working with vector databases (e.g., Pinecone, Weaviate, Milvus, Qdrant, pgvector)

•       Proven experience developing AI agents using frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar

•       Hands-on agentic coding experience (e.g., Claude Code, Cursor, GitHub Copilot Workspace, or similar AI-assisted development tools)

•       Experience with MCP (Model Context Protocol) or similar agent communication standards

•       Strong understanding of prompt engineering, context engineering, and LLM optimization techniques

•       Experience with modern LLM APIs (OpenAI, Anthropic, Google, open-source models)

•       Excellent communication skills with the ability to explain complex AI concepts to technical and non-technical audiences

•       Demonstrated ability to work cross-functionally and drive alignment across teams

Nice to Have:

•       Background in adtech or real-time bidding systems

•       Familiarity with MLOps practices and model deployment pipelines

•       Contributions to open-source AI projects or active participation in AI communities

Why Join Us:

•       Build complex AI systems from scratch that directly impact company-wide performance

•       Work with the latest AI technologies and shape how the organization adopts them

•       High visibility role with direct collaboration across all business units

•       Join a small, agile team where your contributions have outsized impact

•       Hybrid work environment with flexibility

Benefits:

• Competitive compensation package
• International work environment
• Flexible working schedule and the possibility to work remotely
• Annual performance bonus
• English classes
• Maternity/Paternity leave

Langate is an award‑winning provider of web development services in 3 main categories: business, healthcare, and education. At Langate, we're passionate about crafting digital solutions that make a real impact. We take immense pride in our strong collaboration with the U.S. We're here to shape the future of technology, one milestone at a time. In addition to technical expertise, we value excellent communication skills. Collaboration and effective teamwork are the cornerstones of our success, and we believe in fostering an environment where everyone’s voice is heard and valued. To thrive in this role, we’re seeking candidates with a strong academic background and hands‑on experience through pet projects, university work, hackathons, Kaggle, or research, coupled with a solid foundation in Python, ML basics, algorithms, and engineering tools. 

About the project: This internship gives you hands‑on experience working on real AI/ML tasks in a live engineering environment. You will help build and refine ML pipelines, prepare data, run experiments, and evaluate models under the guidance of a mentor. The work includes creating small prototypes, integrating models into simple internal tools, and documenting results. You’ll gain practical exposure to applied AI development and gradually take ownership of small but meaningful components as you learn. Upon successful completion of the internship, there is an opportunity to receive a permanent position within the company. 

Requirements:  

• Strong Python programming skills (required)
• Basic OOP, clean code habits
• Good understanding of data structures & algorithms
• ML fundamentals: supervised learning, train/val/test splits, metrics, overfitting
• Familiarity with PyTorch
• Experience with Git, Linux/CLI, virtual environments
• Data skills: pandas, NumPy, preprocessing 

Nice‑to‑have: 

• Experience with LLMs, Transformers, embeddings, vector DBs (RAG)
• Basic backend/API development (FastAPI/Flask)
• Docker
• Cloud basics (AWS/GCP/Azure) 

 
Responsibilities:

• Implement and improve AI/ML features under mentor guidance
• Run experiments, track results, compare approaches
• Perform model evaluation and propose improvements
• Work on data tasks (cleaning, preprocessing, dataset creation, labeling support)
• Build supporting components (scripts/services)
• Integrate models into simple APIs or internal tools
• Document findings and maintain reproducible code
• Deliver prototypes, experiment reports, feature increments, and clean PRs 

Team: You will be working directly with a mentor and collaborating with an experienced engineering team. Regular syncs: 2–3 times per week (standup/demo/check‑in); rest async. 

Schedule: 6+ hours/day, preferred overlap: 3–5 hours with EET/EEST (UTC+2 / UTC+3). Internship duration: 2+ months, extendable based on performance 

Hiring process: HR interview + tech specialists   

Why Choose Us? What Do We Offer that's Exceptional?    

1. Cutting-Edge Technologies on Real Projects: At Langate, you'll work with the latest technologies on live projects. We're a dynamic, fast-growing company, so you'll find a minimal amount of legacy systems and plenty of opportunities to implement new technologies.
2. Work-Life Balance with Benefits: We value work-life balance and offer paid time off, including vacation days and sick leave. Remote work options and hearty life are part of the package too.    
3. Investment in Your Growth: We're committed to your professional development. You can expect training programs, courses, and opportunities to enhance your English language skills.   
4. Team Building and Unity: We know that a happy team is a productive team. That's why we organize team-building events and group activities to foster strong bonds and a sense of belonging.    

When you choose us, you're choosing a company that values innovation, invests in its employees, and provides a supportive and engaging work environment. Join us in shaping the future of technology!  

Need more information? Welcome! 

Location: Remote

Type: Full-Time

Department: Engineering / Data Sciencej / AI

We are a company based in California seeking a versatile Generative AI Engineer who sits at the intersection of software development and creative AI. You will not only generate and test high-quality AI imagery but also build and maintain the Python-based tooling that powers our workflows.

Our product is a cutting-edge AI tool that makes children the starts of their own custom stories. We have partnerships with some of the biggest entertainment companies in the world.

Most of our team is Ukrainian.

Key Responsibilities

• Tool Development & Maintenance:
  • Maintain and improve our internal Python-based applications that generate images based on specific prompts.
  • Debug and enhance code in Jupyter Notebooks and manage version control via GitHub.
  • Ensure smooth operation of tools through the Command Line Interface (CLI).
• Image Generation & Workflow Testing:
  • Execute image generation tasks using SwarmUI (training provided, but aptitude required).
  • Run rigorous testing on image outputs to ensure consistency and quality.
• Prompt Engineering:
  • Write, test, and validate prompts to achieve specific visual results.
  • Iterate on prompt strategies to improve the reliability of image models.
• Collaboration:
  • Work closely with key stakeholders to interpret requirements and translate them into technical execution, mostly around efficient and effective prompting as it relates to high-quality images.
  • Communicate technical constraints and wins to cross-functional teams.

Required Qualifications (The "Must-Haves")

• Python Proficiency (Mid-Level): You can write clean functions, debug existing code, and are comfortable working within Jupyter Notebooks.
• Command Line Confidence: You are comfortable navigating the OS, running scripts, and managing environments via CLI.
• Version Control: Standard proficiency with Git and GitHub (pull, push, merge, resolve conflicts).
• Prompt Engineering Basics: You understand how to structure a text prompt to get a desired image result and how to troubleshoot when the model hallucinates or fails.
• Language Skills: Strong professional English (written and verbal) is mandatory for communicating complex requirements with the team.

Preferred Qualifications (The "Nice-to-Haves")

• SwarmUI Experience: Familiarity with this specific interface or similar Stable Diffusion web UIs (ComfyUI, A1111).
• Cloud Autonomy: Experience setting up and managing cloud instances (AWS, GCP, or Lambda Labs) for GPU computing.
• Model Training: Experience training LoRAs, Dreambooth, or fine-tuning checkpoints.
• SOTA Knowledge: A genuine interest in the latest developments in Image Generation (Flux, SDXL, ControlNets, etc.).

Soft Skills & Cultural Fit

• High Autonomy: You don’t need to be micro-managed. If you see a bug in the tool or a way to optimize the prompt workflow, you fix it or propose a solution.
• Bridge Builder: You can act as a translator between technical code and creative visual requests.
• Fast Learner: You can pick up new tools (like SwarmUI) with a short learning curve.

About the project

The client is building a B2B marketplace for surplus inventory that helps businesses reduce waste and improve supply-chain efficiency. The product operates at the intersection of pricing, supply, and demand, and market intelligence, where Machine Learning is a core competitive advantage. This is an early-stage product with no legacy code, a modern tech stack, and close collaboration with the founders. Machine Learning here is not a supporting function but a foundation of the platform’s business logic and growth.

Your area of responsibility

• Designing and building the ML and data architecture from scratch, aligned with business goals;
• Developing pricing, demand forecasting, and optimization models for a B2B marketplace;
• Translating supply-and-demand challenges into scalable ML solutions;
• Defining data collection, feature engineering, and model evaluation approaches;
• Deploying, monitoring, and iterating on models in a production environment;

• Collaborating closely with founders to shape the ML roadmap and long-term strategy.

   

Skills and requirements

• 5+ years of experience in Machine Learning and/or Software Engineering, with a proven track record of delivering ML solutions to production;
• Strong Python skills and hands-on experience with classical ML frameworks (scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow);
• Solid understanding of pricing-related domains: regression models, time-series forecasting, econometrics, or optimization techniques;
• Experience designing end-to-end ML pipelines, from data collection and feature engineering to deployment and monitoring;
• Strong SQL skills and experience working with cloud-based data platforms (PostgreSQL / Supabase is a plus);
• Ability to work independently in ambiguous, early-stage environments and translate business goals into technical solutions.

Will be a plus

• Previous experience in B2B marketplaces, e-commerce pricing, or fintech products;
• Ability to work beyond ML tasks, including tweaking backend APIs or writing SQL functions to retrieve and prepare data;
• Hands-on experience with MLOps tools and practices, such as Docker, Airflow, or specialized frameworks like ZenML or BentoML.

We offer

• Working in a team of talented and passionate engineers;
• Opportunity to work with the most trending technologies;
• Long-term enjoyable cooperation;
• Personal legal support;
• English classes;
• Paid vacation and sick days;
• Competitive salary depending on your own talents;
• Regular performance & career development reviews;
• Team building events.

Our client is building AI-powered solutions that help legal teams automate contract workflows, accelerate deal execution, and improve operational efficiency.
This role combines legal domain expertise with hands-on work on AI-driven automation tools for enterprise customers.

🧩 Responsibilities:

• Design and configure AI agents for legal workflows (intake, contract review, approvals)
• Implement and deploy solutions end-to-end for enterprise clients
• Gather and analyze customer requirements, design workflows, and ensure successful onboarding
• Advise legal, legal operations, and procurement teams on process automation and compliance
• Collaborate with Product and Engineering teams to improve AI agents and workflows
• Train customer teams and support adoption of legal automation solutions
• Work closely with Sales, Customer Success, and Legal stakeholders to deliver measurable results

✅ Requirements:

• 1+ year of experience implementing legal tools (e.g. SimpleLegal, Ironclad, LinkSquares, or similar)
• Upper-intermediate English level (or higher)
• Strong understanding of legal processes, contract lifecycle management, and stakeholder dynamics
• Ability to communicate effectively with legal, procurement, and business teams
• Technical curiosity and readiness to work with AI-based solutions
• Experience working in fast-paced, ambiguous environments
  
  ⭐ Nice to have:
  • Experience with CLM systems and redlining workflows
  • Background in legal automation platforms
  • Technical education or strong technical fluency (CS, Engineering, Math)

We offer:

• Opportunity to work with AI-driven legal technology
• Training in AI agents and legal automation (no prior AI experience required)
• High-impact role with enterprise customers
• Collaboration with cross-functional international teams

We’re building an AI platform that helps businesses automate customer interactions and internal workflows using LLM-powered conversational agents. The product focuses on high-quality, controllable AI behavior: reliable conversations, tool usage (calling internal systems), measurable performance, and fast iteration based on real user feedback.
You’ll work closely with an AI automation expert to bring assistants into real business processes - not demos.

What you’ll do

• Craft, test, and optimize prompts for LLMs to solve real product and business tasks
• Build and refine conversational agents (text and optionally voice) using an internal no-code/low-code tool
• Translate feature requirements into working agent behaviors: flows, guardrails, tone, and structured outputs
• Analyze model responses, run experiments, and iterate based on metrics and feedback
• Maintain a prompt/agent knowledge base, best practices, and reusable templates
• Collaborate with product, engineering, and automation teams to integrate AI into workflows
• Research and evaluate new models and techniques, recommending what’s worth adopting

Requirements (must-have)

• 2+ years of hands-on experience in Prompt Engineering or building LLM-based conversational experiences
• Practical experience with LLM prompting in production-like scenarios (quality, consistency, edge cases)
• Strong analytical thinking: ability to evaluate outputs and improve them systematically
• Solid communication skills and ability to work cross-functionally
• English: B2+ (C1 is a strong advantage)

Nice to have

• Basic Python and experience with LLM APIs (OpenAI, Gemini, Claude, Cohere, etc.)
• Understanding of RAG, structured outputs (JSON/function calling), and evaluation approaches
• Experience building LLM agents (tool calling, multi-step workflows) with LangChain/LangGraph/AutoGen/CrewAI
• Exposure to open-source model ecosystems and practical optimization (e.g., lightweight fine-tuning like LoRA)
• Background in linguistics, media, content creation, or UX writing (we value language craftsmanship)

Why this role

• Real impact: you’ll build AI behavior that users interact with daily
• Ownership of the “AI layer” as a product surface: quality, reliability, iteration speed
• A practical environment focused on shipping, measuring, and improving - not hype