NLP Jobs in Bulgaria.
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AI/ML Developer
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We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery-it is about shaping how AI is built, shared, and scaled across the company.
As part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators-reusable frameworks, templates, and reference architectures covering GenAI, LLM-based solutions, ML pipelines, and cloud-native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects.
A second core dimension of the role is knowledge leadership. Strategic hires will actively contribute to internal knowledge-sharing initiatives: technical deep dives, hands-on workshops, demos, and best-practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost-efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction. In addition, members of this group will act as AI project jumpstarters, joining new client engagements for up to 50% allocation over 1-2 months. In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting-edge AI use cases while maximizing your impact across multiple initiatives.
Project Description
We are looking for a highly skilled and innovative Machine Learning Engineer to develop and expand our Generative AI and Computer Vision capabilities. This role involves accelerating Technical Sales Support, Architecture and PoC development.
Technologies
- Python
- Git, CI/CD practices for ML and data pipelines
- AWS and/or Azure
- PyTorch, TensorFlow
- MLflow
- LLMs and NLP tasks
- Generative AI concepts
- LangChain/LangGraph, LlamaIndex
- Qdrant, Pinecone, Weaviate, FAISS or similar
- RNNs, Transformers
- Dataset labeling, annotation tools (e.g., Label Studio, CVAT)
- Prometheus, Grafana, DataDog, OpenTelemetry
- YOLO, SDD
- Segmentation models
- Image Classification
What You'll Do
- Lead the design, development, and deployment of scalable ML services;
- Architect and implement AI/ML solutions, ensuring model quality, governance, and security;
- Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);
- Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements;
- Mentor and guide junior engineers, promoting best practices in ML engineering;
- Develop and maintain documentation, ML models, and technical standards;
- Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;
- Stay up-to-date with emerging trends and technologies in AI/ML field;
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
- 5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs;
- Strong proficiency in Python;
- Experience with cloud data platforms (AWS and/or Azure);
- Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;
- Experience with data governance, security, and compliance in cloud environments;
- Excellent problem-solving, communication, and leadership skills;
- English: Upper Intermediate level or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
ABOUT THE ROLE:
We are establishing a dedicated team of AI Engineers to serve as a long-term strategic AI partner to one of the most influential AI organizations in the Middle East, headquartered in the UAE. This team will work closely with a highly ambitious client operating at the forefront of AI adoption across the region, supporting a continuously evolving pipeline of AI-driven initiatives.
As a Principal AI Engineer, you will work directly with customer leadership, technical teams, and internal stakeholders to deeply understand complex use cases and design, build, and deploy impactful AI solutions. This role blends hands-on engineering, AI system design, and customer-facing strategy—similar in scope to a hands-on AI startup CTO.
Rather than supporting a single static product, you will work across multiple domains and initiatives as new opportunities emerge. The Middle East’s strong national investment in AI creates a unique environment where experimentation, ambition, and real-world impact are expected, not optional.
WHAT MAKES THIS ROLE UNIQUE:
- A long-term strategic partnership, not short-term consulting.
- Exposure to large-scale, high-impact AI initiatives across sectors such as government, healthcare, energy, smart cities, and advanced research.
- The opportunity to design and deploy AI systems in an environment prioritizing speed, innovation, and real-world outcomes.
- A high-trust, fast-moving setting where engineers have meaningful ownership and influence.
RESPONSIBILITIES:
Customer Engagement & AI Strategy
- Partner closely with client stakeholders to understand strategic objectives, technical requirements, and operational constraints.
- Act as a trusted advisor on AI strategy, helping customers identify, prioritize, and implement high-impact generative and agentic AI use cases.
- Lead workshops, technical deep dives, and brainstorming sessions to translate business needs into AI-driven solutions.
AI Solution Design & Delivery
- Design, prototype, and deploy AI-powered proofs of concept (PoCs) and production solutions using generative AI models, agentic systems, and LLM workflows.
- Build end-to-end AI pipelines, from data ingestion to deployment, ensuring scalability, security, and performance on modern infrastructure.
- Implement solutions using the latest AI models and techniques, driving tangible business outcomes for the client.
Iterative Prototyping & Experimentation
- Use an experiment-driven approach to rapidly test hypotheses, iterate on designs, and refine solutions in collaboration with client teams.
- Explore and apply cutting-edge techniques in areas such as NLP, computer vision, reinforcement learning, and multi-agent systems.
- Develop reusable frameworks, patterns, and tools to accelerate AI delivery across future initiatives.
Cross-Functional Collaboration
- Work closely with Sales, Solutions Engineering, Solutions Architects, Applied Research, Product, and Customer Success teams supporting the same account.
- Provide structured feedback from customer engagements to influence internal product and platform development.
Knowledge Sharing & Mentorship
- Document best practices, architectures, and lessons learned from deployments to strengthen internal delivery capabilities.
- Mentor junior engineers on applying generative and agentic AI technologies in real-world, enterprise environments.
REQUIREMENTS:
Technical Expertise
- Strong proficiency in Python and/or JavaScript, with experience using ML frameworks such as PyTorch or TensorFlow.
- Hands-on experience with generative AI models (e.g., GPT-4/5), LLM-based systems, agentic workflows, or reinforcement learning frameworks.
- Experience deploying AI/ML systems into production using cloud platforms (AWS, Azure) or on-premise infrastructure.
Problem Solving & Systems Thinking
- Proven ability to translate ambiguous business challenges into concrete, scalable AI solutions.
- Strong analytical skills to evaluate model performance and optimize systems for real-world constraints.
Client-Facing & Communication Skills
- Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
- Comfort operating in ambiguous, high-stakes environments while building trust-based client relationships.
Adaptability & Mindset
- Ability to work across multiple industries and domains, tailoring AI solutions to different contexts.
- Entrepreneurial mindset with a focus on ownership, execution, and measurable impact.
- Willingness to travel or work on-site with clients as required.
Education & Experience
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- 3+ years of experience in software engineering, applied machine learning, or AI-focused roles.
- Prior experience working directly with customers on AI-driven applications is highly desirable.
- Passion for staying at the forefront of generative and agentic AI advancements and applying them pragmatically.
WHY THIS ROLE:
This role is ideal for engineers who thrive at the intersection of deep technical work, customer engagement, and real-world impact. As a Forward Deployed AI Engineer, you will help shape how AI is adopted at scale in one of the most ambitious and fast-growing AI regions globally—while growing alongside a client whose challenges and opportunities will continuously evolve.
BENEFITS
- You will work with amazing teammates from across Europe.
- Take a leading role in our newly-established Bulgarian center, contributing to the foundation of our future.
- Our Sofia office is right in the center, ensuring that everything you need is close by.
- Monthly transport allowance and enjoy the convenience of a dedicated parking area at the office.
- Enjoy 25 days of paid leave, we make sure you have plenty of time to relax and recharge.
- We’ve got you covered with additional premium health insurance and dental care, to keep you and your family protected.
- We offer food vouchers and to add a little extra you can enjoy complimentary meals in the office.
- Fully covered Multisport card that gives you access to a variety of fitness options to keep you active and feeling great.
- We support your growth with certifications and courses that help you advance your career.
- Join us for Social Events, Informal Office Gatherings and Team-building activities with your colleagues, where we celebrate our achievements together.
- We’ll work with you on an individual plan to help you reach your career goals.
- Benefit from our coaching and mentorship programs, technological and professional guilds that offer guidance and support for your career journey.
- Participate in various social initiatives, contributing to causes that matter to you.
- Use our online platform, dedicated to your well-being and mental health.
- Enjoy the flexibility of our Work Abroad Policy, letting you work from another European country for a period of time.
- Refer a Friend, Get Rewarded.
To see more roles, click here.
Ready to apply?
Apply to Amdaris
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
ABOUT THE ROLE:
We are establishing a dedicated team of AI Engineers to serve as a long-term strategic AI partner to one of the most influential AI organizations in the Middle East, headquartered in the UAE. This team will work closely with a highly ambitious client operating at the forefront of AI adoption across the region, supporting a continuously evolving pipeline of AI-driven initiatives.
As an Senior AI Engineer, you will work directly with customer leadership, technical teams, and internal stakeholders to deeply understand complex use cases and design, build, and deploy impactful AI solutions. This role blends hands-on engineering, AI system design, and customer-facing strategy—similar in scope to a hands-on AI startup CTO.
Rather than supporting a single static product, you will work across multiple domains and initiatives as new opportunities emerge. The Middle East’s strong national investment in AI creates a unique environment where experimentation, ambition, and real-world impact are expected, not optional.
WHAT MAKES THIS ROLE UNIQUE:
- A long-term strategic partnership, not short-term consulting.
- Exposure to large-scale, high-impact AI initiatives across sectors such as government, healthcare, energy, smart cities, and advanced research.
- The opportunity to design and deploy AI systems in an environment prioritizing speed, innovation, and real-world outcomes.
- A high-trust, fast-moving setting where engineers have meaningful ownership and influence.
RESPONSIBILITIES:
Customer Engagement & AI Strategy
- Partner closely with client stakeholders to understand strategic objectives, technical requirements, and operational constraints.
- Act as a trusted advisor on AI strategy, helping customers identify, prioritize, and implement high-impact generative and agentic AI use cases.
- Lead workshops, technical deep dives, and brainstorming sessions to translate business needs into AI-driven solutions.
AI Solution Design & Delivery
- Design, prototype, and deploy AI-powered proofs of concept (PoCs) and production solutions using generative AI models, agentic systems, and LLM workflows.
- Build end-to-end AI pipelines, from data ingestion to deployment, ensuring scalability, security, and performance on modern infrastructure.
- Implement solutions using the latest AI models and techniques, driving tangible business outcomes for the client.
Iterative Prototyping & Experimentation
- Use an experiment-driven approach to rapidly test hypotheses, iterate on designs, and refine solutions in collaboration with client teams.
- Explore and apply cutting-edge techniques in areas such as NLP, computer vision, reinforcement learning, and multi-agent systems.
- Develop reusable frameworks, patterns, and tools to accelerate AI delivery across future initiatives.
Cross-Functional Collaboration
- Work closely with Sales, Solutions Engineering, Solutions Architects, Applied Research, Product, and Customer Success teams supporting the same account.
- Provide structured feedback from customer engagements to influence internal product and platform development.
Knowledge Sharing & Mentorship
- Document best practices, architectures, and lessons learned from deployments to strengthen internal delivery capabilities.
- Mentor junior engineers on applying generative and agentic AI technologies in real-world, enterprise environments.
REQUIREMENTS:
Technical Expertise
- Strong proficiency in Python and/or JavaScript, with experience using ML frameworks such as PyTorch or TensorFlow.
- Hands-on experience with generative AI models (e.g., GPT-4/5), LLM-based systems, agentic workflows, or reinforcement learning frameworks.
- Experience deploying AI/ML systems into production using cloud platforms (AWS, Azure) or on-premise infrastructure.
Problem Solving & Systems Thinking
- Proven ability to translate ambiguous business challenges into concrete, scalable AI solutions.
- Strong analytical skills to evaluate model performance and optimize systems for real-world constraints.
Client-Facing & Communication Skills
- Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
- Comfort operating in ambiguous, high-stakes environments while building trust-based client relationships.
Adaptability & Mindset
- Ability to work across multiple industries and domains, tailoring AI solutions to different contexts.
- Entrepreneurial mindset with a focus on ownership, execution, and measurable impact.
- Willingness to travel or work on-site with clients as required.
Education & Experience
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- 3+ years of experience in software engineering, applied machine learning, or AI-focused roles.
- Prior experience working directly with customers on AI-driven applications is highly desirable.
- Passion for staying at the forefront of generative and agentic AI advancements and applying them pragmatically.
WHY THIS ROLE:
This role is ideal for engineers who thrive at the intersection of deep technical work, customer engagement, and real-world impact. As a Senior AI Engineer, you will help shape how AI is adopted at scale in one of the most ambitious and fast-growing AI regions globally—while growing alongside a client whose challenges and opportunities will continuously evolve.
BENEFITS
- You will work with amazing teammates from across Europe.
- Take a leading role in our newly-established Bulgarian center, contributing to the foundation of our future.
- Our Sofia office is right in the center, ensuring that everything you need is close by.
- Monthly transport allowance and enjoy the convenience of a dedicated parking area at the office.
- Enjoy 25 days of paid leave, we make sure you have plenty of time to relax and recharge.
- We’ve got you covered with additional premium health insurance and dental care, to keep you and your family protected.
- We offer food vouchers and to add a little extra you can enjoy complimentary meals in the office.
- Fully covered Multisport card that gives you access to a variety of fitness options to keep you active and feeling great.
- We support your growth with certifications and courses that help you advance your career.
- Join us for Social Events, Informal Office Gatherings and Team-building activities with your colleagues, where we celebrate our achievements together.
- We’ll work with you on an individual plan to help you reach your career goals.
- Benefit from our coaching and mentorship programs, technological and professional guilds that offer guidance and support for your career journey.
- Participate in various social initiatives, contributing to causes that matter to you.
- Use our online platform, dedicated to your well-being and mental health.
- Enjoy the flexibility of our Work Abroad Policy, letting you work from another European country for a period of time.
- Refer a Friend, Get Rewarded.
To see more roles, click here.
Ready to apply?
Apply to Amdaris
Critically, this role sits at the intersection of data, AI, and people. The ideal candidate will be as comfortable enabling a frontline sales rep to understand and act on a dashboard as they are presenting strategic insight to a C-suite audience. They will also be a confident and curious adopter of large language model (LLM) tools — using AI to accelerate their own analytical workflow and helping the wider business do the same.
Key Responsibilities
- Business Analysis & Stakeholder Partnership
- Act as the primary analytics partner to senior commercial stakeholders across Sales, Marketing, Customer Success, and Revenue Operations.
- Apply strong business analysis discipline — translating ambiguous business questions into well-scoped requirements, clear success criteria, and structured analytical briefs before any build begins.
- Proactively surface insights, trends, risks, and opportunities that inform decision-making at leadership level.
- Support strategic initiatives such as CRM consolidation, demand intelligence optimization, territory and book-of-business changes, and forecasting improvements.
- Own end-to-end project management of analytics deliverables — from requirements gathering and prioritization through to delivery, adoption, and iteration — ensuring stakeholders are informed and timelines are met
- Communication, Enablement & Influence
- Demonstrate exceptionally strong communication skills across all levels of the organisation — from crafting executive narratives for senior leadership forums to running hands-on enablement sessions for managers and frontline sales representatives.
- Translate complex data, AI outputs, and analytical findings into plain-language stories that drive clarity, confidence, and action.
- Design and deliver enablement programmes that help managers and reps understand, trust, and act on dashboards, KPIs, and AI-generated insights — building genuine data literacy across the Revenue Organisation rather than dependency on the BI team.
- Champion clear, consistent communication of what metrics mean, how they are calculated, and why they matter — removing ambiguity at every level.
- Influence without authority; build credibility with senior stakeholders through the quality of insight and the integrity of the underlying data.
- Analytics, Reporting & Insight
- Own the design and delivery of executive-level dashboards and self-service reporting, primarily using Power BI.
- Ensure consistent definitions and calculations for revenue KPIs, North Star metrics, and commercial performance indicators.
- Conduct deep-dive analyses to diagnose performance issues and recommend actionable next steps.
- Write and optimise advanced SQL queries to extract, transform, and validate data across our Databricks data warehouse and connected source systems.
- Leverage Databricks as the central analytical platform — working within notebooks, SQL warehouses, and the broader Lakehouse environment to build reliable, scalable analytical outputs.
- AI & LLM Integration
- Be a power user and internal advocate of LLM-based tools, including Microsoft Copilot and Anthropic Claude (including Claude Code), using them to accelerate analysis, generate and review SQL, draft communications, and surface insight more efficiently.
- Help define and create LLM agents for the Go To Market organisation – connecting context to frontline AI tools such as MS Copilot and Salesloft.
- Proactively identify opportunities to embed LLM and AI capabilities into BI workflows, dashboards, and analytical processes — raising the ceiling of what the team can deliver.
- Work with the Senior Manager of BI to evaluate and scale AI-assisted analytics approaches across the team, including the use of Databricks' native LLM and AI capabilities.
- Help commercial stakeholders and frontline teams understand and appropriately trust AI-generated outputs — building confidence in AI tools through clear explanation, demonstration, and enablement.
- Data Modelling & Quality
- Partner with Data Analytics Engineers to define analytical data models that support revenue, pipeline, customer lifecycle, and performance reporting.
- Validate data accuracy and integrity across the analytics layer, proactively identifying and resolving issues before they impact decision-making.
- Contribute to data governance standards, metric documentation, and reporting best practices.
- Technology & Tooling Context
-
- The Lead Business Analyst will work within a modern BI and revenue intelligence stack, including:
- Layer Tools
- Data Warehouse & Analytics Databricks (central data warehouse with LLM capabilities)
- BI & Visualisation Power BI
- AI & LLM Tooling Microsoft Copilot, Anthropic Claude, Claude Code, Databrick Genie, Databricks hosted LLM models
- Core Commercial Systems Salesforce (multiple instance), PlanHat, &
- Revenue & Demand
- Intelligence Clay
- Sales Enablement &
- Engagement Salesloft (including AI and conversational intelligence) & HighSpot
- A strong understanding of how these systems connect — and how data flows end-to-end from source systems to executive dashboards and frontline tools — is essential.
-
- Required Experience & Skills
-
- 8+ years of experience in a Business Analysis, Analytics, or BI within a SaaS or technology-driven organisation.
- Experience supporting RevOps, Sales Operations, or Commercial Analytics teams.
- Advanced SQL skills — comfortable writing complex queries, debugging data issues, and working directly within a cloud data warehouse environment; Databricks experience strongly preferred.
- Strong business analysis capability — proven ability to scope, structure, and document analytical requirements with rigour before moving into delivery.
- Proven project management skills — able to manage multiple concurrent workstreams, set and meet deadlines, and maintain clear stakeholder communication throughout.
- Exceptionally strong communication skills — a natural and compelling communicator in written and verbal form, equally effective presenting strategy to a VP as running a training session for a team of account executives.
- Demonstrated experience designing and delivering stakeholder enablement on data, dashboards, or analytics tooling — not just building outputs, but ensuring they are understood and adopted.
- Proven experience delivering executive-ready dashboards and self-service reporting (Power BI preferred).
- Strong commercial and revenue-focused business acumen.
- Active and confident user of LLM tools such as Microsoft Copilot or Anthropic Claude in a professional analytical context.
- Preferred Experience
-
- Hands-on experience with Databricks — including SQL warehouses, notebooks, and the Lakehouse architecture.
- Experience using Claude Code or similar AI coding assistants to accelerate SQL development, data validation, or analytical scripting.
- Familiarity with CRM and GTM analytics — Salesforce, pipeline reporting, forecasting, MEDDPICC, territory models.
- Hands-on Experience with Clay
- Ideally experience with Python (e.g. connecting to APIs)
- Exposure to building or scaling data literacy programmes within a commercial organisation.
- What Success Looks Like
- Leaders trust the dashboards and insights/recommendations produced and use them to run the business with confidence.
- Managers and frontline reps understand and act on data, insights, and AI outputs — because this role has invested in enabling them, not just building for them.
- KPIs and metrics are clearly defined, consistently applied, and widely adopted across the organisation.
- LLM and AI tools are meaningfully embedded into BI workflows, improving speed, quality, and reach of analytical output.
- The BI team is seen as a strategic partner — not just a reporting function.
- Data quality issues are proactively identified and resolved before impacting decision-making.
- Projects are delivered on time, with clear communication and minimal surprises for stakeholders.
Ready to apply?
Apply to Cision
Associate AI Engineer
Share this job
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Project
As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.
What You’ll Do
- Build LLM and Agentic applications
- Brainstorm ideas for those projects and their implementation
- Take part in the full cycle: from ideation and brainstorming, through implementation, to testing and evaluation of the solutions
- You will have the opportunity to learn and develop your skills by working together with other AI Engineers (ranging from Associate to Lead)
- Participate in research of cutting-edge technologies and products
What You Bring
- Strong fundamentals in software development and problem-solving (Python preferred)
- Experience working in a Scrum team and writing production code
- Experience in using AI and Agentic tools for coding
- Knowledge of SDLC process
- Bachelor’s degree in STEM (or equivalent hands-on experience or bootcamp) as minimum (master's or PhD degree a plus)
- DevOps/MLOps experience including Docker
- Business-oriented, results-driven mindset
- Strong communication skills
- Curiosity and willingness to learn AI/LLM technologies
Nice to have
- Familiarity with cloud infrastructure (AWS/GCP/Azure)
- Knowledge of LLM Python packages: LangChain, LangGraph, LangFuse, vector DBs
- Knowledge of ML Python packages: PyTorch, scikit-learn
- NLP and language modelling knowledge
- Research interest and experience
- Good grasp of mathematics and statistics, including:
- Linear algebra, probability, and basic calculus
- Statistical testing and basic modeling techniques
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Associate AI Engineer
Share this job
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Project
As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.
What You’ll Do
- Build LLM and Agentic applications
- Brainstorm ideas for those projects and their implementation
- Take part in the full cycle: from ideation and brainstorming, through implementation, to testing and evaluation of the solutions
- You will have the opportunity to learn and develop your skills by working together with other AI Engineers (ranging from Associate to Lead)
- Participate in research of cutting-edge technologies and products
What You Bring
- Strong fundamentals in software development and problem-solving (Python preferred)
- Experience working in a Scrum team and writing production code
- Experience in using AI and Agentic tools for coding
- Knowledge of SDLC process
- Bachelor’s degree in STEM (or equivalent hands-on experience or bootcamp) as minimum (master's or PhD degree a plus)
- DevOps/MLOps experience including Docker
- Business-oriented, results-driven mindset
- Strong communication skills
- Curiosity and willingness to learn AI/LLM technologies
Nice to have
- Familiarity with cloud infrastructure (AWS/GCP/Azure)
- Knowledge of LLM Python packages: LangChain, LangGraph, LangFuse, vector DBs
- Knowledge of ML Python packages: PyTorch, scikit-learn
- NLP and language modelling knowledge
- Research interest and experience
- Good grasp of mathematics and statistics, including:
- Linear algebra, probability, and basic calculus
- Statistical testing and basic modeling techniques
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Associate AI Engineer
Share this job
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Project
As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.
What You’ll Do
- Build LLM and Agentic applications
- Brainstorm ideas for those projects and their implementation
- Take part in the full cycle: from ideation and brainstorming, through implementation, to testing and evaluation of the solutions
- You will have the opportunity to learn and develop your skills by working together with other AI Engineers (ranging from Associate to Lead)
- Participate in research of cutting-edge technologies and products
What You Bring
- Strong fundamentals in software development and problem-solving (Python preferred)
- Experience working in a Scrum team and writing production code
- Experience in using AI and Agentic tools for coding
- Knowledge of SDLC process
- Bachelor’s degree in STEM (or equivalent hands-on experience or bootcamp) as minimum (master's or PhD degree a plus)
- DevOps/MLOps experience including Docker
- Business-oriented, results-driven mindset
- Strong communication skills
- Curiosity and willingness to learn AI/LLM technologies
Nice to have
- Familiarity with cloud infrastructure (AWS/GCP/Azure)
- Knowledge of LLM Python packages: LangChain, LangGraph, LangFuse, vector DBs
- Knowledge of ML Python packages: PyTorch, scikit-learn
- NLP and language modelling knowledge
- Research interest and experience
- Good grasp of mathematics and statistics, including:
- Linear algebra, probability, and basic calculus
- Statistical testing and basic modeling techniques
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
We are seeking a skilled Middle AI Engineer with a deep understanding of the latest trends to join our international team. As a mid-level contributor, you will design and implement agentic AI solutions that enhance automation, decision-making, and system intelligence across the enterprise. This role is ideal for developers with hands-on experience in AI/ML, LLMs, and autonomous agents, and a passion for building scalable, intelligent systems that drive operational excellence.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design, develop, and deploy AI-driven applications and agentic systems using LLMs, transformers, and reinforcement learning
- Build intelligent automation pipelines for tasks such as incident triage, anomaly detection, and operational decision support
- Collaborate with SRE, DevOps, and product teams to integrate AI capabilities into existing infrastructure and workflows
- Develop and fine-tune models for natural language understanding, system behavior prediction, and autonomous task execution
- Implement scalable APIs and microservices for AI model serving and orchestration.
- Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model performance and contextual accuracy
- Contribute to architectural decisions, model evaluation strategies, and continuous learning systems
- Align with team schedules (daily meetings and reviews between 3–7 PM CET)
What You Bring
- Experience in AI/ML development, software engineering, or related roles
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers
- Experience with LLMs (e.g., OpenAI, Anthropic, Mistral) and agentic frameworks (e.g., LangChain, AutoGPT, CrewAI)
- Understanding of machine learning, deep learning, and reinforcement learning principles
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes)
- Experience with MLOps tools and practices for model deployment
- Knowledge of observability and telemetry systems for AI performance tracking
- Excellent problem-solving skills, communication, and a collaborative mindset
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
We are seeking a skilled Middle AI Engineer with a deep understanding of the latest trends to join our international team. As a mid-level contributor, you will design and implement agentic AI solutions that enhance automation, decision-making, and system intelligence across the enterprise. This role is ideal for developers with hands-on experience in AI/ML, LLMs, and autonomous agents, and a passion for building scalable, intelligent systems that drive operational excellence.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design, develop, and deploy AI-driven applications and agentic systems using LLMs, transformers, and reinforcement learning
- Build intelligent automation pipelines for tasks such as incident triage, anomaly detection, and operational decision support
- Collaborate with SRE, DevOps, and product teams to integrate AI capabilities into existing infrastructure and workflows
- Develop and fine-tune models for natural language understanding, system behavior prediction, and autonomous task execution
- Implement scalable APIs and microservices for AI model serving and orchestration.
- Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model performance and contextual accuracy
- Contribute to architectural decisions, model evaluation strategies, and continuous learning systems
- Align with team schedules (daily meetings and reviews between 3–7 PM CET)
What You Bring
- Experience in AI/ML development, software engineering, or related roles
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers
- Experience with LLMs (e.g., OpenAI, Anthropic, Mistral) and agentic frameworks (e.g., LangChain, AutoGPT, CrewAI)
- Understanding of machine learning, deep learning, and reinforcement learning principles
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes)
- Experience with MLOps tools and practices for model deployment
- Knowledge of observability and telemetry systems for AI performance tracking
- Excellent problem-solving skills, communication, and a collaborative mindset
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Middle AI Engineer
Share this job
We are seeking a skilled Middle AI Engineer with a deep understanding of the latest trends to join our international team. As a mid-level contributor, you will design and implement agentic AI solutions that enhance automation, decision-making, and system intelligence across the enterprise. This role is ideal for developers with hands-on experience in AI/ML, LLMs, and autonomous agents, and a passion for building scalable, intelligent systems that drive operational excellence.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design, develop, and deploy AI-driven applications and agentic systems using LLMs, transformers, and reinforcement learning
- Build intelligent automation pipelines for tasks such as incident triage, anomaly detection, and operational decision support
- Collaborate with SRE, DevOps, and product teams to integrate AI capabilities into existing infrastructure and workflows
- Develop and fine-tune models for natural language understanding, system behavior prediction, and autonomous task execution
- Implement scalable APIs and microservices for AI model serving and orchestration.
- Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model performance and contextual accuracy
- Contribute to architectural decisions, model evaluation strategies, and continuous learning systems
- Align with team schedules (daily meetings and reviews between 3–7 PM CET)
What You Bring
- Experience in AI/ML development, software engineering, or related roles
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers
- Experience with LLMs (e.g., OpenAI, Anthropic, Mistral) and agentic frameworks (e.g., LangChain, AutoGPT, CrewAI)
- Understanding of machine learning, deep learning, and reinforcement learning principles
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes)
- Experience with MLOps tools and practices for model deployment
- Knowledge of observability and telemetry systems for AI performance tracking
- Excellent problem-solving skills, communication, and a collaborative mindset
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)