Jobs

Looking for AI engineers

Workload:  full-time
Start: asap
Duration: long-term
English: B2

More details about the positions are specified below:
Client’s Continuous Security Validation enables companies to challenge, assess, and optimize their cybersecurity posture against the evolving cyberthreat landscape, simply and continuously. It strives to bring the highest level of service to everything we do. Their team is made up of the very best people for the job, and as they grow, they’re always on the lookout for people with the skills, experience, and personality that will let them both shine.

What Does the Team Do?
The AI team is an integral part of the Client’s R&D department. They develop innovative AI Agents (Agentic AI) that enable customers to operate, investigate, and analyze their environments intelligently and automatically through the client’s platform. In addition, the team researches and develops new AI models to enhance user experience, optimize processes, and strengthen the cybersecurity capabilities of their products.
Responsibilities
Design and develop Agentic AI systems, models, and an advanced infrastructure stack.
Build product components that integrate with internal systems, user experience, and advanced security features.
Research new technologies, libraries, and solutions in AI and Cyber domains.
Work in rapid sprints using Agile methodologies.
Collaborate with developers and product teams to improve processes and design system architecture.
Lead the adoption of advanced technologies and best practices in AI and Software Engineering.
Requirements and Experience
Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field.
4+ years of professional experience in software development of medium-to-large-scale systems.
Proven experience with Python, Node.js, NestJS, TypeScript/JavaScript, React, Redis, MongoDB, Kafka, AWS, NX.
Hands-on experience with microservices, Docker, and Kubernetes.
Strong background in software architecture and system design.
Experience with LangGraph and LangChain – mandatory.
Experience developing and integrating with MCP (Model Context Protocol) in AI – a strong advantage.
Familiarity with cybersecurity – a strong advantage.
Knowledge in MLOps, fine-tuning, and vector databases – an advantage.
Excellent problem-solving skills and ability to thrive under tight deadlines.
Proactive mindset, team player, and ability to provide technical leadership.
Must speak intermediate plus English.
Must be a team player, hard worker, trustworthy, reliable, responsible, motivated, and a long-term player.

Our client,  is opening a Lead ML/AI Engineer position.
The company is actively expanding its AI direction and is looking for a specialist who combines deep technical expertise with strong client-facing skills: joining calls, leading discovery phases, and participating in pre-sales processes.

Formal experience specifically in a “lead” role is not strictly required — what matters most is that you feel confident as a technical expert who understands client needs and can propose solutions. Approximately 50% of tasks will be presales/discovery, while the rest will be project work.
 

Responsibilities

• Design, build and scale a production-grade inference stack for RAG-based applications,
• Develop efficient retrieval pipelines using OpenSearch or similar vector databases, with a focus on high recall and response relevance,
• Optimize performance and latency for both real-time and batch queries,
• Identify and address bottlenecks in the inference stack to improve response times and system efficiency,
• Ensure high reliability, observability, and monitoring of deployed systems,
• Collaborate with cross-functional teams to integrate LLMs and retrieval components into user-facing applications,
• Evaluate and integrate modern RAG frameworks and tools to accelerate development,
• Guide architectural decisions, mentor team members, and uphold engineering excellence.

Requirements

• 8+ years of experience in software engineering, with a focus on AI/ML systems or distributed systems,
• Hands-on experience building and deploying retrieval-augmented generation (RAG) systems,
• Deep knowledge of OpenSearch, Elasticsearch, or similar search engines,
• Strong coding skills in Python,
• Experience with frameworks like LlamaIndex or LangChain,
• Familiarity with vector databases such as Pinecone, Qdrant, or FAISS,
• Exposure to LLM fine-tuning, semantic search, embeddings, and prompt engineering,
• Previous work on systems handling millions of users or queries per day,
• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes),
• Experience with vector search, embedding pipelines, and dense retrieval techniques,
• Proven ability to optimize inference stacks for latency, reliability, and scalability,
• Excellent problem-solving, analytical, and debugging skills,
• Strong sense of ownership, ability to work independently, and a self-starter mindset in fast-paced environments,
• Passion for building impactful technology aligned with our mission,
• Bachelor’s degree in Computer Science or related field, or equivalent practical experience.

What Offers

• Competitive salary and transparent bonus system.
• Exciting and stable AI projects with a modern tech stack.
• Daily English practice with international clients + courses.
• Coverage for training and certifications.
• VIP medical insurance or sports compensation.
• Flexible schedule with minimal bureaucracy.
• 18 vacation days + sick leave.
• Paid coworking (for those outside Kyiv/Lviv).
• Team events, corporate gatherings, soft skills clubs.
• Opportunity to work remotely or from offices in Kyiv and Lviv.

📌 Project: AI platform leveraging RAG, LLM, and search technologies, designed to scale to millions of users.

Tidway software development company in Ukraine, dedicated to delivering high-quality mobile applications. We are looking for a talented ML Engineer to design, build, and support the next generation of fast-growing machine learning and AI applications, founded by a world-class technology team with an excellent track record. Currently, we are looking for a person to join the development of a project whose goal is to improve skills in one of the sports thanks to artificial intelligence.
 

Requirements:

Overall

• Strong knowledge of Python, TensorFlow or PyTorch.
• Bachelor's degree in Computer Science (or related field).
• Experience with Machine Learning, Gen AI and Computer Vision.
• Experience with Python web services.
• Experience with cloud ML deployment.
• Strong understanding of model training, evaluation, and optimization.

• Experience with AWS or GCP or Azure.

  
  LLM

• Experience with LLAVA or ChatGPT or LLAMA or Gemini.
• Fine-tuning open-source LLMs.
• Deploying open-source LLMs.
• Familiar with agents.
• Computer Vision
• Expertise with tracking, keypoint/pose estimation, action recognition, and depth estimation.
• Experience in image and video processing using OpenCV.

• Hands-on experience with YOLO and Transformer-based architectures for vision tasks.

   

  Other

• Ability to multi-task, organize, and prioritize work effectively.
• Upper Intermediate or higher level of English proficiency.
  
  Will be a plus
• Data Version Control for Big Datasets.
• Optimizing models for edge devices.
• C++, Java knowledge a plus.
  
  Responsibilities
• Writing clean, high-quality, high-performance, maintainable code
• Develop and support software including applications, database integration, interfaces, and new functionality enhancements
• Coordinate cross-functionally to insure project meets business objectives and compliance standards
• Support test and deployment of new products and features
• Ensure the performance, quality, and responsiveness of applications.
• Maintain code quality, organization, and automation.
• Participate in Agile/Scrum development processes.
   

     What will you get

• Competitive salary and performance-based bonuses.
• Flexible working hours and the possibility to work remotely.
• Opportunities for professional growth and career advancement.
• Friendly and collaborative work environment.
• Access to the latest technologies and tools.

We are an agency specializing in content generation and web scraping solutions, helping businesses automate and enhance their digital operations. To expand our capabilities in generative artificial intelligence, we’re looking for a talented developer to join our team and contribute to cutting-edge AI-driven projects. Please provide your resume with samples of your jobs.

Creating AI agents, AI based chat bots/assistants. Setuping vector databases, mcp servers. Providing architecture solutions and clear estimations.

AI/ML developer. 

Проект Healthcare

На фулл тайм, лонг терм 

Англійська - Upper-Intermediate

Стек: AI LangGraph / LLM / RAG 

5+ years of professional experience in software development of medium-to-

large scale systems.

Proven experience with Python, Node.js, NestJS, TypeScript/JavaScript, React, Redis, MongoDB, Kafka, AWS, NX.

Experience with LangGraph
 

We are helping an international product company find a Senior AI/ML Engineer to join their team. The company is developing an intelligent chatbot and search platform with modern AI/ML, NLP, and LLM technologies.

They are looking for a strong senior engineer with leadership mindset — someone who not only writes clean code, but also guides the team, makes architectural decisions, and can present solutions to clients.

🔧 Must-have skills:

• 5+ years of AI/ML engineering in production systems.
• Python (Pandas, NumPy, FastAPI, LangChain, etc.).
• LLMs (OpenAI, AWS Bedrock), prompt engineering.
• Vector DBs: PGVector/Postgres.
• NLP, embeddings, semantic search.
• ETL pipelines for APIs, SQL, docs, images.
• Work with unstructured data & metadata.
• Docker-based deployments.
• Understanding of role-based access & recommendations.
• Strong communication & presentation skills.

📌 Responsibilities:

• Lead technical direction, support and guide the team.
• Build ETL pipelines for structured & unstructured data.
• Work with embeddings, similarity search, vector DBs.
• Fine-tune LLMs & manage prompts for chatbot.
• Design intent detection & contextual responses.
• Collaborate on API integration, deployment, testing.
• Present solutions to clients clearly and confidently.
• Ensure scalable, maintainable, production-ready AI/ML solutions.

We are looking for an experienced Senior AI/ML/Data Science Engineer with proven skills in:
- Python
- LangChain, Llama, OpenAI AP
- LLM orchestration frameworks like LangChain, LangGraph, vLLM, LMDeploy
- MLOps, and LLMOps best practices.
- RAG
- Pandas, NumPyStart: asap

Duration: long term (1+ year)
Workload: Full time
Location: Remote
English: Upper-Intermediate level at least

About the Project

Join a high-performing UK-based product and cross-functional product team composed of top-tier engineers(PhD holders). We’re building an enterprise-grade data platform designed to integrate, process, and analyze vast amounts of diverse data in real-time.

We build next generation, Data & Cloud agnostic Process Intelligence solution that leverages process mining, knowledge graph, agentic eco-system & canvas to optimise enterprise process and proactivelly suggest and simulate improvements deploying agents into the customer system. 

What You’ll Do

• Design and develop advanced AI components using LangChain, Langraph,  AutoGen, and other multi-agent orchestration frameworks
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines using tools like Google AI Platform, Vertex AI and Pinecone.
• Engineer efficient prompts and fine-tune LLMs (e.g., GPT-4o, DeepSeek) for advanced data analytics capabilities
• Develop AI-related backend services using Python and FastAPI
• Deploy scalable solutions in Google Cloud Platform (GCP), working with services such as BigQuery, GKE, Cloud Storage, etc.

• Collaborate with backend and data engineering teams to integrate and expose AI functionality via well-structured APIs

   

Must-Have Skills

• 5+ years of experience in backend and AI system development
• Strong hands-on experience with LangChain, AutoGen, and multi-agent frameworks
• In-depth knowledge of LLMs, prompt engineering, NL2SQL, and RAG architectures
• Proficient in Python and FastAPI
• Proven experience with GCP services: Vertex AI, BigQuery, GKE, Cloud Storage
• Experience building production-grade RAG pipelines

• Excellent problem-solving and communication skills

   

Nice-to-Have

• Experience working with data engineering and DevOps tools
• Familiarity with data governance frameworks and compliance standards (GDPR, HIPAA)

• Exposure to real-time processing and scalable architecture patterns

   

Why Join Us

• Work with a world-class team on a cutting-edge AI and data platform
• High-impact role with room for innovation and growth
• Flexible schedule and remote-friendly setup
• Competitive compensation
• Collaborative, growth-oriented culture
• Engage in technically challenging, meaningful projects
•  

About Busy RebelAt Busy Rebel, we aim to redefine the technology and innovation landscape, creating a distinctive ecosystem of exceptional talents while fostering ownership, inclusion, and diversity. We aim to catalyze societal and technological evolution by empowering tech entrepreneurs to challenge norms and spearhead change.

Busy Rebel aims to forge unparalleled partnerships, driving global impact through creative rebellion. We commit to being the trusted ally that amplifies visions with expert insight and inventive strategies, fostering a community of disruptive thinkers for technological empowerment and societal betterment. Every partnership and project is a step toward a more interconnected and enlightened world.

Be part of a company where every day is an opportunity to learn, challenge, and transcend the ordinary. Your journey with Busy Rebel is not just a career; it’s a pivotal chapter in the larger story of technological revolution and societal evolution. Join us, and let’s build the future together.
 

J-VERS is a programmatic job advertising agency that helps employers find the right candidates in any industry by optimizing the hiring process. Founded in 2023, the company has grown 5x, building a fully remote team that serves over 150 enterprise clients across the US and EU through AI-powered advertising technology.

About the product

We are an innovative programmatic job advertising startup building intelligent solutions that optimize recruitment marketing campaigns. Our mission is to leverage cutting-edge machine learning and AI to maximize campaign efficiency and improve hiring outcomes at scale. We’ve recently finished the MVP stage and are now scaling the product. A great chance to join a small startup team (CTO, 4 Developers, QA Developer, DevOps Engineer, and Product Owner), and have a real impact on its development 🚀

Technical stack: Python 3.11+, FastAPI, Postgres, Kafka, Kubernetes; TypeScript, React; AWS.

What You'll Be Doing:

• Design, build, test, and deploy ML models that automate and optimize campaign performance;
• Develop and maintain scalable ML pipelines, ensuring reliability and performance in production;
• Integrate LLMs into our existing platform to enable intelligent features such as CV pre-screening and automated marketing content generation;
• Research, design, and adapt ML algorithms to address business-specific challenges in recruitment advertising;
• Collaborate with product and engineering teams to integrate AI services into production systems;
• Experiment with reinforcement learning approaches to dynamically tune and optimize campaign performance;
• Continuously improve models and pipelines with monitoring, retraining, and evaluation workflows.

Your Skills:

• Strong background in Python and ML libraries (TensorFlow or PyTorch, Scikit-learn, pandas);
• Hands-on experience with classic ML algorithms (classification, regression, clustering) as well as deep learning architectures;
• Familiarity with LLMs, prompt engineering;
• Experience building production-ready ML pipelines;
• Strong skills in Docker and AWS for deployment and scaling;
• Knowledge of reinforcement learning techniques (advantage);
• Ability to conduct applied research and adapt state-of-the-art models to real-world problems;
• Strong problem-solving and communication skills, comfortable working in a fast-moving startup environment.

Will be a plus:

• NLP fundamentals;
• Knowledge of MLOps frameworks (e.g., MLflow, Kubeflow, SageMaker).

Key Projects You’ll Work On:

• LLM-powered CV prescreening service to automate candidate shortlisting;
• Automated marketing campaign generator;
• Reinforcement learning engine to dynamically optimize campaign spend and performance in real time.

You’ll thrive at J-Vers if you:

• Self-motivated and comfortable with autonomy;
• Passionate about using technology to solve real problems;
• Open to collaboration and knowledge sharing;
• Results-oriented and focused on impact;
• Curious and committed to continuous learning.

Why Join Us:

Work Without Limits:

• Remote-first team with no location limits;
• Flexible 8-hour workday;
• Flat structure with direct access to leadership;
• Full set of equipment provided for your comfortable work.

Get Rewarded & Supported:

• Competitive compensation with transparent salary bands;
• Health insurance after 3 months of work;
• Mental health support;
• 24 vacation days + 20 paid sick days + 4 no-doc sick days + company-wide one-week break at year-end.

Endless Opportunities to Grow:

• Personal learning budget for professional development;
• Clear growth paths from Junior to Senior;
• Work with global clients (US & EU);
• Culture of feedback, mentorship, and constant learning.

Hiring Process:

1. Intro call with a recruiter
2. Values-based interview
3. Technical interview
4. Final interview with CTO
5. Recommendation

At J-Vers, you're not just filling a job — you're joining a mission. We're building something extraordinary where technology and humanity combine to transform hiring. Flex your skills. Expand your impact. Shape the future of global hiring.

About the role:
We are seeking a talented AI Chatbot & Automation Specialist to design, implement, and optimize intelligent conversational systems and business process automations.
This role offers the flexibility to work remotely (part-time or full-time) while collaborating with a forward-thinking team driving digital transformation.

Responsibilities

• Build, deploy, and manage AI-powered chatbots to enhance customer engagement and internal efficiency.
• Designed and implemented workflow automations using n8n, Zapier, Make, and other automation platforms.
• Integrate chatbots and automations with CRMs, ERPs, helpdesk software, and third-party APIs.
• Monitor, analyze, and improve chatbot and automation performance for scalability and reliability.
• Collaborate with product, operations, and technical teams to identify and execute automation opportunities.
• Ensure chatbot experiences align with the company’s brand voice and customer experience standards.
• Stay up-to-date with emerging AI and automation trends, recommending innovative solutions.
  
  Qualifications
• Hands-on experience with n8n, Zapier, and/or Make for workflow automation.
• Proven track record in chatbot design and deployment (Dialogflow, Rasa, Botpress, or similar).
• Solid understanding of APIs, webhooks, and system integrations.
• Familiarity with AI/LLMs and conversational AI best practices.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills and ability to collaborate in remote teams.
  
  Preferred Skills
• Experience with Python or JavaScript for custom integrations and advanced automations.
• Knowledge of cloud platforms (AWS, GCP, Azure).
• Background in SaaS, customer service, or operations automation.
  
  What We Offer
• Salary up to $4,000 monthly 
• Remote-first role with flexible hours.
• Opportunity to work part-time or full-time, depending on availability.
• Competitive pay based on experience and commitment.
• Exposure to cutting-edge AI and automation tools.
• Collaborative team culture with room for innovation and growth.

Description

Global player in the railway sector is looking to create an internal platform aimed to support the Bid and Sales teams during critical stages of the bidding process, as well as to assist to Engineers throughout key phases of the Engineering projects lifecycle.

This solution utilizes various techniques, including multi-agent GenAI, to enhance the requirements and compliance process, facilitate data analysis and tender authoring, provide guidance in engineering, offer technical support, and aid in decision-making. It also generates essential artifacts such as requirements, designs, and tests. Additionally, the solution will enable data analytics to identify trends across bids, supporting the Sales and Product Development teams.

#LI-IN1

Requirements

• Extensive experience in developing AI and machine learning models, with a focus on multi-agent systems and generative AI.
• Strong proficiency in programming languages such as Python, and familiarity with ML frameworks and libraries like TensorFlow, PyTorch, etc.
• Solid understanding of natural language processing techniques, with experience in deploying NLP systems and working with prompt libraries.
• Expertise in data analysis and analytics.
• Experience with cloud platforms for deploying AI solutions.
• Familiarity with DevOps practices and tools for CI/CD, containerization (Docker, Kubernetes), and version control (Git).
• Proven track record of driving innovation and solving complex technical problems using AI and machine learning.
• Good communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
• Experience working collaboratively within cross-functional teams.
• Understanding of data privacy and security standards, ensuring systems are compliant with industry regulations and best practices.
• Passion for continuous learning and staying updated with the latest trends and advancements in AI/ML technologies.

Job responsibilities

• Collaborate with PO, BA, stakeholders to understand the specific needs and requirements of the business process.
• Translate business needs into technical specifications for AI/ML models.
• Design and develop AI models, particularly multi-agent generative AI models, to assist with requirement compliance, data analysis, and tender authoring.
• Ensure models are trained on relevant datasets and are capable of providing accurate, context-aware insights.
• Implement NLP techniques to enable effective parsing and understanding of user prompts.
• Develop and refine the prompt library to facilitate seamless user interaction and request handling.
• Ensure the AI models integrate effectively with existing applications and workflows.
• Support the development of APIs or other integration methods to incorporate AI-generated data back into native applications.
• Develop analytics components to analyze trends across bids and provide actionable insights.
• Utilize statistical and machine learning techniques to derive patterns and predictions from historical data.
• Implement robust security measures to protect sensitive data and maintain confidentiality.
• Stay informed about the latest security protocols and ensure compliance with relevant regulations.
• Conduct thorough testing of AI models to ensure they meet quality, performance, and accuracy standards.
• Continuously evaluate model performance and implement improvements as necessary.
• Provide ongoing support and troubleshooting to address any system issues.
• Monitor and adapt AI systems to accommodate changes in the business process or user requirements.
• Create comprehensive documentation for developed solutions.

⚡️ AI Engineer (Middle+/Senior)

We are looking for AI Engineers to join a long-term, full-time project that is currently in the pre-sale stage. This is a high-priority opportunity, so we are seeking highly skilled specialists who meet the key technical requirements and have strong communication skills in English.

Requirements:

Proven experience with AI/ML development (preferably production-level projects)

Strong Python skills, with experience in building and deploying machine learning models

Solid understanding of deep learning frameworks (TensorFlow, PyTorch, etc.)

Experience with cloud platforms (AWS, GCP, or Azure)

Proficiency in working with APIs and data processing pipelines

English level B2 or higher – must be comfortable communicating with international teams

Ability to work independently and in a team, with strong problem-solving skills

Nice to Have:

Knowledge of MLOps practices and experience with model deployment at scale

Experience with LLMs (Large Language Models) or Generative AI solutions

Familiarity with Docker, Kubernetes, and CI/CD processes

Background in data engineering or big data tools

Responsibilities:

Design, develop, and deploy AI-driven solutions for complex business problems

Build and optimize machine learning models and pipelines

Collaborate closely with data scientists, developers, and stakeholders

Ensure scalability, reliability, and performance of AI solutions

Stay up-to-date with the latest trends and advancements in AI/ML technologies

Recruitment Process:

Recruiting interview

Technical interview

Client interview in English

Offer

If you are ready to work on impactful AI projects and meet the requirements — send us your CV today! 🚀

Unidatalab is seeking a Senior ML Engineer with strong leadership skills to drive machine learning initiatives within our software development company. You will work on cutting-edge AI solutions, including LLM-based systems, RAG pipelines, and cloud-native deployments, while collaborating with both internal teams and clients.

This position is also an excellent opportunity for engineers ready to step up into a leadership track. We are open to flexible cooperation formats, including both part-time and full-time arrangements, depending on your availability and preferences.

Responsibilities:

• Lead design and development of AI/ML models and systems, with a focus on LLMs and RAG architectures;
• Build and optimize scalable solutions using Python, TensorFlow, REST APIs, and Docker;
• Deploy and manage ML solutions on AWS/GCP cloud environments;
• Collaborate closely with cross-functional teams to integrate AI features into software products;
• Engage directly with clients to gather requirements, present solutions, and ensure project alignment.
• Mentor team members and contribute to strategic AI/ML roadmap planning.

Requirements:

• 5+ years in AI/ML engineering, with a track record of production-level deployments;
• Degree in Mathematics, Computer Science, Engineering, or related technical domain;
• Excellent English communication skills;
• Strong proficiency in:
  • Python;
  • TensorFlow, LLMs, and RAG architectures;
  • Cloud (AWS/GCP) and containerization;
  • REST API design and integration.

Will be a plus:

• Computer Vision and Agentic AI experience.

Trueplay is a Loyalty Booster Suite that enables iGaming brands to build lasting customer relationships based on trust and mutual benefit. It features three programs that ensure player interactions with gambling platforms are exciting right from the start.

We offer solutions on three epic levels:

• Acquisition and engagement — CopyStake introduces users to an iGaming website, allowing them to bet alongside their favorite streamers.
• Retention — the Play to Earn and Hold to Earn loyalty programs keep player engagement high by guaranteeing rakeback and distributing a share of the platform’s revenue.
• Brand equity — the tokenization of loyalty points helps transform users’ affinity for a brand into a personal interest in its financial success. In Trueplay’s take on Web3 loyalty, players feel like casino stakeholders.

More than 20 iGaming brands from 18 markets are fostering player loyalty with Trueplay. 

Our internal team is currently looking for a skilled Senior ML Engineer.

It is important for us that you have:

• 5+ years of professional experience in software engineering/ML engineering
• Strong programming skills in Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow)
• Solid experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes)
• Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, etc.)
• Knowledge of data engineering (ETL pipelines, streaming data, batch processing)
• Strong background in algorithms, data structures, and distributed computing
• Experience deploying and monitoring ML models at scale
• Excellent problem-solving and communication skills

You will be responsible for:

• Designing, implementing, and optimizing end-to-end ML pipelines (data preprocessing, model training, deployment, monitoring)
• Collaborating with data scientists to move ML models from research to production
• Ensuring scalability, reliability, and performance of ML services in production environments
• Developing tools for experiment tracking, model versioning, and reproducibility
• Working with big data platforms (Spark, Hadoop, Snowflake, Redshift, etc.)
• Implementing MLOps best practices (CI/CD for ML, monitoring, automated retraining)
• Conducting code reviews, mentoring junior engineers, and leading technical discussions

We offer:

• Remote work
• Two meeting hubs in Warsaw, Poland, and Kyiv, Ukraine
• Flexible working hours
• Compensation that includes coverage for 20 days to recharge and unwind
• Additional support covering 14 days for health-related matters when needed
• Support in professional growth during the initial months, with guidance from experienced team members
• Engaging corporate events and activities
• Competitive financial compensation

We’re looking for an AI Engineer to design, build, and deploy next-gen AI solutions. You’ll lead projects, mentor a small team, and work with cutting-edge tools in ML, deep learning, and generative AI.
 

Responsibilities

• Develop and optimize ML/DL/GenAI models (NLP, content generation, personalization, automation, recommendations).
• Deploy models with MLOps/AIOps, manage cloud platforms (AWS, GCP, Azure).
• Ensure high-quality code, guide team practices, and stay on top of AI trends.

Requirements

• 3–5 years in AI/ML (Python, TensorFlow, PyTorch, Scikit-learn).
• Experience with vector DBs, Docker/Kubernetes, CI/CD, REST API.
• Strong leadership and communication skills.

Will be a plus

• GenAI integration experience.
• Agile (Scrum/Kanban).
• Community contributions.
   

What We Offer

• Flexible remote/hybrid setup.
• Growth & leadership opportunities.
• Training and learning resources.

💡 Apply now and help us shape the future with AI!