Jobs AI

About the Role

The company is seeking a highly skilled and experienced Delivery Manager to join its dynamic team. This role is pivotal in ensuring the successful delivery of complex software projects, managing client relationships, and leading project teams. The ideal candidate will be a proactive problem-solver with a strong background in agile methodologies and a proven track record of delivering high-quality solutions on time and within budget. This is a remote position, offering the flexibility to work from anywhere.
 

Responsibilities

• Lead and manage the end-to-end delivery of software projects, ensuring they meet client expectations, scope, budget, and timeline.
• Act as the primary point of contact for clients, building strong relationships and ensuring clear communication throughout the project lifecycle.
• Define project scope, objectives, and deliverables in collaboration with clients and internal stakeholders.
• Develop and maintain detailed project plans, including timelines, resource allocation, and budget forecasts.
• Manage project risks and issues, implementing mitigation strategies and escalating as necessary.
• Facilitate agile ceremonies (e.g., sprint planning, daily stand-ups, retrospectives) and ensure adherence to agile principles.
• Monitor project progress, track key performance indicators (KPIs), and provide regular status reports to stakeholders.
• Lead, mentor, and motivate project teams, fostering a collaborative and high-performance environment.
• Ensure the quality of deliverables through effective testing and quality assurance processes.
• Identify opportunities for process improvement and implement best practices in project delivery.
• Manage project budgets, track expenses, and ensure financial targets are met.
• Negotiate and resolve conflicts, both internally and externally, to keep projects on track.
• Stay up-to-date with industry trends and technologies to continuously improve delivery capabilities.
   

Requirements

• Proven experience as a Delivery Manager or Senior Project Manager in a software development environment.
• Strong understanding and practical experience with Agile methodologies (Scrum, Kanban).
• Excellent client-facing and internal communication skills.
• Solid organizational skills, including attention to detail and multitasking skills.
• Strong working knowledge of Microsoft Office and project management software.
• PMP / PRINCE2 certification is a plus.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Ability to lead and inspire cross-functional teams.
• Demonstrated ability to manage multiple projects simultaneously.
• Experience with risk management and change management.
• Strong problem-solving abilities and a proactive approach.
• Ability to work effectively in a remote environment.
   

About the Company

The company is a leading provider of innovative software solutions, dedicated to helping businesses achieve their digital transformation goals. With a focus on cutting-edge technology and client satisfaction, the company fosters a collaborative and dynamic work environment where talent thrives. They are committed to delivering exceptional value and building long-term partnerships with their clients.

About Us

We are a fast-growing international startup building a product for the global market. We are looking for a talented individual to join our performance marketing team. We have zero bureaucracy — only hypotheses, testing, and fast-paced decision-making.

Who We Are Looking For

We need someone who can create ads that people actually watch until the very end and click instantly. You understand the difference between just "beautiful" and "effective" — and you always prioritize performance.

Key Responsibilities

• Develop performance-focused video ads and banners for Meta, TikTok, YouTube, and Google.
• Build new creative concepts, delivering several fundamentally different ideas every week.
• Analyze competitors' ads and engineer your own variations that outperform the originals.
• Create UGC-style videos that feel like organic, genuine content rather than traditional ads.
• Integrate AI tools as the core of your workflow, not just as an optional assistant.
• Test, analyze data, iterate, and test again.
• Occasionally assist with landing page designs and pitch materials.

Requirements & Qualifications

• Strong understanding of performance metrics: You know what CTR, hook rate, ROAS, and scroll-stop rate mean, and how design directly impacts them.
• Proven track record in video advertising: You know exactly how to make the first 2 seconds of a video irresistible.
• Advanced proficiency with AI tools for both video and image generation.
• Self-starter mindset: You can conceptualize ideas independently without needing a granular, hand-held brief.
• Thrive in a fast-paced environment with high production volumes.

Technical Stack

Core Stack:

• Video Generation: Runway, Pika, ByteDance Video Tools (Seedream / ModelArk)
• Image Generation: Midjourney, Stable Diffusion
• Video Editing: CapCut, Premiere Pro, After Effects
• VFX / Character Tools: NanBanana, face swap, lip-sync

As a Plus:

• AI Avatars: HeyGen, Synthesia, D-ID
• Voice AI: ElevenLabs
• Any other tools used for scaling and automating UGC production

What We Offer

• Compensation: Competitive salary based on your experience and interview results.
• Performance Bonuses: Real, performance-driven bonuses (not just symbolic ones).
• Flexibility: Fully remote or hybrid work setup.
• Tooling: All necessary AI paid subscriptions and infrastructure are fully covered by the company.
• Career Growth: A clear path to advance into a Lead / Head of Creative role.

Workload: full-time, fully remote
Start: asap, but can be discussed
Duration: long-term cooperation
Location: any
English: Strong proficiency in English (Upper-intermediate level or Advanced)!

Details:
- CRITICAL: AI-first delivery: proven, demonstrable experience using Claude Code or similar agentic AI tools is a hard must (specific examples expected on the application).
- Senior Golang Developer, 5+ years of experience; can potentially consider really strong candidates with 4 years of experience
- Hands-on engineering position
- Not a people-management role
- CRITICAL: Lead part: Demonstrable experience of leading delivery within a team: coordinating, breaking work down, representing the team in planning and stakeholder conversations, facilitating outcomes. Someone who has been the de facto tech lead in a squad for several years without ever holding the formal title is absolutely fine too.
- CRITICAL: Strong proficiency in English (Upper-intermediate level or Advanced)

Role description:
We are looking for a highly capable Lead AI-First Golang Engineer to join a project where you’ll build an AI tourism platform. This is not a traditional coding role. We don’t need coders; we need engineers who build features end-to-end using AI coding tools. You’ll use Claude Code and other AI tools to 10x your output, always thinking about how the product or feature you are working on benefits the user. Also, we have no QA team — you OWN the quality of what you ship!

Regarding Lead responsibilities:
● This is not a people-management role: no one-to-ones, no performance reviews, no coaching responsibilities.
● Every engineer involved in the project already owns their work end-to-end (IC + DRI), so this role is not about “more ownership”.
● A Lead is the spokesperson, coordinator, and facilitator for their pod, internally with product, design, and leadership, and externally with clients. You think product-first, contribute meaningfully in product planning sessions, and represent your pod in those rooms.
● You remain a hands-on backend engineer. The spokesperson, coordination, and facilitation work sits on top of your IC contributions, not instead of them. Expect the majority of your week to still be engineering.

What you’ll actually do:
● Own features end-to-end: from specs to deployment to fixing bugs
● Use Claude Code to generate Golang backend code
● Review AI output for quality and architectural fit
● Fix bugs to learn our codebase, then rapidly build new features
● Make quick decisions on what to build vs buy vs generate with AI
● Talk to customers when they report issues, and ship fixes the same day

Additionally, at the Lead level:
● Be the spokesperson for your pod, internally with PMs, designers, and leadership, and externally with clients and partners
● Coordinate work across the pod: break initiatives into chunks, sequence them, surface blockers, and facilitate hand-offs
● Represent your pod in product planning sessions and bring a strong product-driven point of view to scoping and trade-offs
● Join client meetings when needed to gather context, align on requirements, and report on delivery

Products you will build:
● Platform: data- and AI-focused features, internal tooling, agentic systems
● Integrations: API connections to supplier and business client platforms, data ingestion pipelines, LLM providers

Our stack:
● Backend: Go monorepo (no framework, 3+ services)
● Hosting: PaaS-managed containers, local setup fully mirrors production via Docker Compose
● Tools: Jaeger tracing, Betterstack (Logging, Alerting), Redis Async queue
● Databases: PostgreSQL, Redis
● AI tooling: Claude Code (mandatory)

You are a great fit if you:
● You think in features and architecture, and not in single lines of code
● Get frustrated when development takes weeks instead of days

Welcome to LITSLINK — a top software development company.

We are looking for a Middle AI/ML Engineer to join our growing AI practice.

You will work on client and internal projects focused on Generative AI, LLM-powered applications, AI Agents, RAG systems, Computer Vision, NLP, and intelligent automation solutions.

Please note: we are primarily looking for engineers with hands-on experience building GenAI solutions. Experience with LLMs, RAG systems, AI Agents, and AI-powered automations is highly preferred.

Tech Stack: Python, OpenAI, Anthropic, Gemini, Hugging Face, LangChain, LangGraph, LlamaIndex, RAG, AI Agents, Vector Databases, AWS/GCP/Azure

Key Responsibilities:

• Design, develop, and optimize AI-powered applications and services.
• Build solutions based on LLMs, RAG pipelines, AI Agents, and Generative AI technologies.
• Integrate AI systems with APIs, databases, and business platforms.
• Evaluate, optimize, and improve AI solutions.
• Collaborate with software engineers, product teams, and stakeholders.
• Conduct technical research and evaluate emerging AI technologies.
• Contribute to architecture decisions, code reviews, and engineering best practices.

Requirements:

• 2+ years of commercial experience in AI/ML engineering, AI Engineering, Data Science, or related roles.
• Experience building GenAI solutions is highly preferred.
• Practical experience with Generative AI and LLM-based applications.
• Hands-on experience building RAG systems, AI Agents, AI Assistants, or AI-powered automations.
• Strong Python programming skills.
• Solid understanding of Machine Learning fundamentals.
• Experience with PyTorch, TensorFlow, or the Hugging Face ecosystem.
• Experience working with OpenAI, Anthropic, Gemini, Hugging Face, or similar AI platforms.
• Experience with prompt engineering, LLM evaluation, and optimization techniques.
• Understanding of REST APIs and software development best practices.
• Strong analytical and problem-solving skills.
• Intermediate+ English level.

Nice to Have:

• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
• Experience with vector databases (Pinecone, Weaviate, Qdrant, Chroma, etc.).
• Experience with AWS, GCP, or Azure.
• Experience deploying AI solutions to production environments.
• Knowledge of MLOps practices and model lifecycle management.
• Experience with Computer Vision or NLP projects.
• Experience mentoring junior engineers.

What We Offer:

• Opportunity to work on cutting-edge AI projects.
• Access to modern AI tools and technologies.
• Collaborative and innovative engineering culture.
• Professional development and career growth opportunities.
• Remote-first environment.
• Competitive compensation package.

Recruitment Process:

• HR Interview
• Technical Interview
• Offer

Film Director & Showrunner (AI-Tech Approach)

We are looking for a visionary Film Director & Showrunner to lead the creation of high-end short-drama series. This role is for a cinematic powerhouse who understands deep storytelling, blocking, and dramatic structure, but is also ready to embrace Generative AI as their primary production engine.

You don’t need to be a software engineer, but you must be digitally native and tech-curious. We need a storyteller who can translate a traditional director’s "eye" into the world of AI-assisted filmmaking, turning scripts into seamless, prestige-quality visuals.

The Role

As the lead creative, you will act as a "one-person studio." You’ll take a project from concept to final master, using AI tools to build worlds, maintain character consistency, and direct virtual "performances." You are the bridge between classic film theory and the future of automated production.

Responsibilities

* Showrunning & Vision: Lead the narrative strategy and maintain a cohesive "look and feel" across a complete short drama series.

* Directorial Leadership: Apply your mastery of lighting, composition, and performance to AI outputs, ensuring they mirror the quality of high-end television.

* Creative Asset Management: Use AI-assisted tools to build storyboards, shot lists, and backplates that align with your directorial vision.

* Technical Execution: Personally responsible for the final "director’s cut." While you’ll have support, you should be comfortable getting hands-on with generation, assembly, and refinement.

* VFX & Polish: Oversee (and perform) the cleanup of AI artifacts to ensure visual consistency and a seamless cinematic experience.

* Ethical Oversight: Ensure all content meets brand guidelines and respects intellectual property standards.

Requirements

* Professional Directing Background: Proven experience as a Film Director or Showrunner with a portfolio that demonstrates a deep grasp of "the language of film."

* Cinematic Mastery: An expert understanding of film theory, pacing, and how to evoke human emotion through a lens.

* Tech-Savvy Mindset: You should have a basic, functional understanding of AI tools (like Midjourney, Runway, or Luma) and a massive appetite to learn more. You aren't afraid of new interfaces or evolving workflows.

* NLE Proficiency: Expert-level skills in industry-standard software like Adobe Premiere Pro, DaVinci Resolve, or Avid.

* Post-Production Knowledge: High-level proficiency in After Effects or similar tools for masking, compositing, and "fixing it in post."

* Adaptability: The ability to find creative workarounds for the current limitations of AI technology.

Bonus Skills

* Experience with AI audio/music tools (e.g., ElevenLabs, Udio, Suno).

* A "hacker" mentality—someone who loves testing new tools the day they drop.

About the company

Our client is a leading autonomous vehicle technology company operating at the cutting edge of self-driving software development. 

Role overview

We are not looking for a traditional SOC analyst. This role is about building detection systems, not clicking through alerts. You will work with large volumes of logs (cloud, application, network), design detection logic, and improve it over time. That includes both rule-based detection (SIEM/XDR) and data-driven approaches (statistical models, anomaly detection, simple ML where it makes sense). You should be comfortable treating logs as a data problem, not just a monitoring stream.

Important! This is not a role where you:

• sit in SIEM all day clicking alerts
• blindly add rules
• overcomplicate things with ML

This is a role where you: build detection systems that work in practice.

What you'll be doing

Detection & analytics

• Build and maintain detections across:
• application logs (auth, APIs, business logic abuse)
• cloud activity (CloudTrail, IAM, infrastructure changes)
• network telemetry (DNS, proxy, firewall, NetFlow)
• Work directly with data in platforms like Elasticsearch / Splunk / similar
• Write and tune detection logic (queries, correlation rules)
• Reduce noise — expect to spend time fixing false positives, not just adding new rules.

Working with data (this is a big part of the job)

• Build pipelines for:
• log ingestion
• normalization
• feature extraction
• Work with streaming or batch pipelines (Kafka / queues / scheduled jobs)
• Turn raw logs (e.g. CloudTrail) into structured data usable for detection.

Anomaly detection / ML (practical, not theoretical)

• Apply simple models where they add value (e.g. One-Class SVM or similar approaches)
• Focus on:
• behavior baselining
• anomaly scoring
• Tune models based on real output (false positives matter more than theory) 
• If ML does not improve signal — don't use it.

Automation & response

• Build response playbooks for common cases
• Automate where it actually saves time (not for the sake of it)
• Integrate with SOAR or write lightweight orchestration
• Improve:
• detection speed
• response consistency.

AI usage (realistic expectations)

• Use LLMs for:
• alert enrichment
• investigation summaries
• internal tooling
• Not building an "AI security platform"
• Focus on practical gains, not hype.

Threat hunting

• Run targeted hunts based on hypotheses
• Use internal data + external signals
• Identify gaps in logging and detection.

Requirements

• Solid experience with SIEM (Elastic, Splunk, Sentinel, etc.)
• Strong understanding of:
• cloud activity (especially AWS logs and IAM)
• network basics
• modern application behavior (APIs, auth flows)
• Comfortable working with large datasets (not afraid of raw logs)
• Python or similar for data processing
• Experience with automation (SOAR or custom scripts).

Nice-to-have (but not critical)

• Experience applying ML to logs (even simple models is enough)
• Familiarity with LLMs in tooling (not research)
• Experience with data pipelines (Kafka, Spark, etc.)
• MITRE ATT&CK mapping

What will make you effective here

• You don't trust alerts blindly
• You care about signal quality, not number of detections
• You can debug why a detection is noisy or useless
• You understand systems, not just tools
• You prefer building something once instead of repeating manual work.

How success looks like

• Fewer false positives
• Better visibility across systems
• Faster investigations
• Less manual work in SOC
• Detections that actually catch real issues

Senior / Lead Golang Engineer (AI-First Product)

We are looking for a Senior / Lead Golang Engineer to join an exciting long-term project focused on building an AI-powered tourism platform.

This is not a traditional coding role.

We are looking for engineers who can deliver features end-to-end using modern AI-assisted development tools, with a strong preference for Claude Code and similar agentic AI solutions.

Requirements

5+ years of commercial experience with Golang

    (exceptionally strong candidates with 4+ years may also be considered)

Proven hands-on experience building and delivering production-ready features

Strong experience using AI coding tools in daily development workflows

    (Claude Code is highly preferred)

Demonstrable examples of AI-first engineering practices are required during the application process

Experience leading delivery within a team:

breaking down tasks

coordinating engineering efforts

participating in planning

communicating with stakeholders

facilitating delivery outcomes

Previous formal Lead title is not mandatory — candidates who acted as de facto tech leads within squads are highly welcomed

Strong English communication skills (Upper-Intermediate / Advanced)

Self-driven mindset and ownership mentality

Responsibilities

Build and deliver product features end-to-end using Golang and AI-assisted development workflows

Collaborate closely with product and engineering stakeholders

Drive delivery processes within the team

Contribute to architecture and technical decision-making

Work in a highly autonomous, fast-moving engineering environment

Project Details

AI tourism platform

Full-time position

Fully remote

Long-term cooperation

Start date: ASAP (flexible for the right candidate)

If you’re passionate about AI-driven engineering and want to help shape a modern AI-first product, we’d love to hear from you.

Greetings from Switzerland! 
We are JettSEO and we help brands across all kinds of niches get found in search - and these days that means more than Google's blue links. It's AI Overviews, ChatGPT, Perplexity, and whatever drops next month. We'd love someone to own that side of things.
 

The role You'll lead organic search across a varied client portfolio (lots of range here - we're not tied to one industry). Part classic SEO, part making sure our clients get cited when an AI answers the question. You'll spot what needs fixing and get to fix it.
 

What you'll do

• Lead our GEO and AEO strategy across accounts
• Get client content showing up in AI Overviews, ChatGPT, Perplexity, and other LLM surfaces
• Build the citable stuff - FAQs, schema, structured content AI loves
• Track brand mentions across AI tools and report on it
• Run technical SEO: audits, Core Web Vitals, site architecture, structured data
• Team up with devs to ship fixes fast
• Own reporting that ties visibility to real results - leads, revenue, conversions
• Run experiments and let the data guide the next move
   

Who we're hoping to meet

• 4+ years hands-on SEO
• Real, applied AI-search experience (GEO, AEO, LLM visibility)
• Strong technical skills: audits, schema, Core Web Vitals
• Comfortable with GSC, Semrush or Ahrefs, and Screaming Frog
• Good with data - pulling it, reading it, sharing it

Bonus points: digital PR, AI tooling (Claude, Perplexity, Jasper), a bit of HTML/CSS/JS, agency or multi-brand background.

Project overview:

Group107 is building a dedicated AI Unit to drive automation across the company and deliver AI-powered solutions for client projects.

We are hiring Junior AI Developers who think fast, learn faster, and are already productive with modern AI-assisted development workflows.

You will work directly under the Tech Director and grow into autonomous AI engineers capable of owning full delivery pipelines.

Requirements:

• 1+ year of hands-on software development experience (commercial or substantial personal projects)
• Demonstrable proficiency with AI coding tools: Claude Code, Cursor, GitHub Copilot, or equivalent
• Working knowledge of at least one: TypeScript/JavaScript or Python
• Experience deploying web applications (Vercel, Netlify, or similar)
• Understanding of LLM fundamentals: prompting, context windows, token management, tool use
• Ability to read, debug, and refactor AI-generated code critically — not just accept output blindly
• Git proficiency and basic CI/CD awareness
• Strong English communication (both written and spoken)
   

Nice to have:

• Experience with v0, Bolt, Lovable, Replit Agent, or similar AI app builders
• Familiarity with MCP (Model Context Protocol) and agentic AI patterns
• Contributions to open-source AI tools or published AI-related content
• Experience with RAG pipelines, vector databases, or embeddings
• Backend experience with Node.js, Next.js, or FastAPI
• Understanding of DevOps basics: Docker, serverless functions, edge computing
   

Responsibilities:

• Build internal automation tools and workflows using AI coding assistants (Claude Code, Cursor, Copilot)
• Develop and ship AI-powered features and full applications for client projects
• Prototype rapidly using vibe-coding methodology — prompt-driven development with AI pair-programming
• Integrate LLM APIs (Anthropic, OpenAI, open-source models) into production systems
• Deploy and maintain applications on modern platforms (Vercel, Cloudflare, AWS)
• Create and manage AI agents, MCP servers, and tool-use pipelines
• Evaluate, benchmark, and select AI models and tools for specific use cases
• Document solutions, write technical specs, and contribute to the internal knowledge base
  
  We offer:
• 20 vacation days (workdays)
• 7 sick days
• Personalized career growth
• Education reimbursement
• Corporate events and team buildings
• Equipment provided

About the team:
You'll run a small group inside our R&D function whose mission is to validate new product bets quickly. We move from "is this worth building?" to a working prototype in weeks, not quarters. You set the research direction, decide what to build and how, and lead the team to get it in front of users and stakeholders fast. This is a builder-leader role: roughly hands-on coding alongside the team, with the rest spent on strategy, planning, and unblocking people.

What you'll do:

• Own the technical vision and execution for a portfolio of PoCs, from initial research through working prototype.
• Lead a small engineering team — set direction, review work, grow people, and keep the group focused and motivated.
• Run lightweight research: scope a problem, survey the landscape, form a hypothesis, and define what a successful prototype must prove.
• Translate fuzzy ideas into concrete plans with clear milestones, then execute against them.
• Build full-stack — backend services, frontends, data pipelines, and the glue between them.
• Work AI-first: use AI tooling to accelerate development, and build products that embed LLMs, agents, retrieval, and related techniques where they create real value.
• Make pragmatic build-vs-buy and "good enough for a PoC" calls, balancing speed against the parts that need to be solid.
• Partner with product, design, and leadership to decide which bets graduate from prototype to product. 
   

What we're looking for:

• Proven technical leadership — has led a team or owned a major workstream, set technical direction, made the call on what to build, and shipped through others. You can run lightweight research, turn a fuzzy idea into a plan with clear milestones, and keep a small group focused and motivated. (Formal management title not required; the instinct and track record are.)
• Strong full-stack engineering with real AI-building depth — production experience across backend and frontend in at least two of C#, Python, and JavaScript/TypeScript (comfortable picking up the third), and a genuinely AI-native way of working: fluent with AI dev tools and hands-on experience building LLM-powered products (prompting, RAG, agents, evals). This is the builder half of a builder-leader — you'll write the first prototype yourself.
• Genuinely self-directed and motivated — thrives with ambiguity, defines the problem when no one hands it to them, and drives it to a result. 
   

Also required — pragmatic, not deep:

• Cloud experience (AWS, Azure, or GCP) and enough DevOps to ship — CI/CD, containers, getting a prototype deployed, observable, and demo-able. PoC-grade is fine; you don't need to be an infra specialist. 
   

Valued, but not a dealbreaker:

• Working understanding of ETL/ELT, data warehouses, and lakehouse concepts — enough to design a sensible pipeline and reason about how data flows through a prototype.
• Hands-on data engineering depth is a bonus, not a requirement. 
   

Nice to have:

• Experience taking a 0→1 product or prototype to real users or market validation.
• A standout specialty (distributed systems, ML/AI, frontend architecture, or data engineering) on top of the breadth.
• Background in a startup, R&D lab, or innovation team where speed and ownership were the norm.
• Familiarity with experiment design, rapid user testing, or other cheap ways to validate an idea. 
   

Who you are:
You're equally comfortable whiteboarding a research plan, writing the first prototype yourself, and coaching a teammate through theirs. You'd rather ship something rough and learn than polish something no one needs. You can hold the big picture and the implementation detail at the same time, and people want to follow you because you bring clarity and momentum.

What we offer:

• Continuous learning and career growth opportunities
• Professional training and English/Spanish language classes
• Comprehensive medical insurance
• Mental health support
• Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more
• Flexible working hours
• Inclusive and supportive culture

We are looking for a Middle AI/ML Engineer to develop and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will focus on building and iterating on machine learning and LLM-based solutions, integrating them into Foundry workflows to support analytics, automation, and decision-making. You will collaborate closely with data engineers, business analysts, and domain experts to deliver practical, production-ready AI solutions.

Key Responsibilities:

• Develop and enhance machine learning and AI models to support predictive analytics, classification, forecasting, and AI-assisted workflows.
• Build AI and ML solutions within Palantir Foundry, using Python and existing Foundry pipelines, Ontology objects, and workflows.
• Apply LLMs and NLP techniques (e.g. prompt engineering, fine-tuning, embeddings, retrieval-augmented workflows) using Palantir AIP for enterprise use cases.
• Collaborate with data engineers to understand data sources, ensure data quality, and prepare datasets for model training and inference.
• Conduct experiments, evaluate model performance, and iterate on features and model approaches.
• Integrate AI models into Foundry workflows to surface insights and support business processes.
• Support model deployment and monitoring by following established team standards and best practices.
• Work closely with business and domain stakeholders to translate requirements into practical AI-driven solutions.
• Document model behavior, assumptions, and limitations to support transparency and compliance.
• Stay up to date with applied AI and GenAI trends and contribute ideas under guidance from senior team members.

Requirements:

• 3+ years of experience in machine learning, AI engineering, or applied data science.
• Strong Python skills; experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Hands-on experience with LLMs, NLP, or GenAI use cases (e.g. prompt design, embeddings, text classification, summarization).
• Practical understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and iteration.
• Experience working with structured data (tabular, time series); exposure to text or unstructured data is a plus.
• Familiarity with enterprise data environments and collaborative development workflows.
• Ability to clearly explain model results and AI behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to have: 

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About the client:

Our customer is the European online car market, with over 30 million monthly users and a presence in 18 countries. As a Lead FullStack Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Responsibilities:

• Developing fast, high-traffic public-facing websites
• Explore new technologies and help the team to use them
• Work using AI tools and apply them to the SDLC
• Following software development best practices while delivering the work
• Following testing principles while testing your own code to ensure production readiness
• Follow the philosophy of: you-build-it-you-run-it (be responsible for the SDLC processes) 

Requirements: 

• 5+ years developing reliable, highly available, and scalable software systems
• Strong understanding of software architecture and design patterns
• Firm grasp of clean code principles and coding standards
• Strong proficiency using AI tooling, such as ChatGPT/Codex, for rapid development

Experience integrating AI tooling into your development environment for streamlined usage

• Experience with AI Frameworks like Vercel AI SDK, LangChain, etc.
• Strong proficiency with backend development with Node.js
• Strong proficiency with TypeScript
• Strong proficiency with SQL& NoSQL datastores (GraphQL, Redis)
• Strong proficiency with frontend development (HTML, CSS, JavaScript)
• Strong proficiency with component-based frameworks and SSR (Next.js/React or Vue.js) or Angular with the desire to learn React/ Vue.js.
• Hands-on experience developing and maintaining 3rd party content management systems
• Knowledge of modern cloud infrastructures and tools, such as AWS, Terraform, and Docker
• Experience with APIs and developing in a service-based application environment
• Experience building optimized UIs for performance
• Proficiency with version control systems such as Git
• Experience working within a formal CI/CD pipeline
• Experience with logging, monitoring, and alerting services like Datadog, Newrelic
• Solid approach to testing and ensuring quality of code, Unit testing, backend, and frontend

At least Upper-intermediate English level

• This role requires mandatory timezone coverage: work must align with the Toronto (ET) timezone for LATAM hours and 13:00–21:00 EET for EU hours approximately.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

AI Product Engineer / AI-First Developer

We are looking for an AI-first engineer who can leverage modern AI tools to dramatically accelerate software development.

Our goal is not simply to integrate AI into products, but to rethink the development process itself.

You will work on rapid prototyping, MVP development, internal automation, AI-powered products, and client projects where development speed and efficiency are critical.

Responsibilities:

• Build software products using AI-assisted development workflows
• Use tools such as Claude Code, Cursor, OpenAI, Anthropic and modern AI ecosystems
• Rapidly prototype and validate product ideas
• Design and implement AI-powered features
• Build integrations with LLMs and AI services
• Optimize development processes through AI automation
• Collaborate with engineering and product teams

Requirements:

• Strong software engineering background
• Commercial experience with Python, JavaScript/TypeScript or similar technologies
• Experience using AI coding tools in production workflows
• Experience with OpenAI, Anthropic or other LLM APIs
• Understanding of prompt engineering and AI agent workflows
• Ability to quickly learn new technologies
• Strong problem-solving skills

Nice to have:

• Experience with RAG systems
• Experience with LangChain, LangGraph or LlamaIndex
• Experience building AI agents
• Startup or MVP development experience

Most importantly, we are looking for engineers who can demonstrate how AI helped them significantly increase development speed and productivity.

We’re looking for an AI Engineer to join our outsourcing team — not a pure ML researcher, but a pragmatic, data-driven backend engineer who knows how to put LLMs, vision APIs, and off-the-shelf models to work inside real products.

Most of our work isn’t training models from scratch — it’s understanding the business logic, collecting and cleaning data, wiring it into LLMs or services like AWS Textract, and shipping the result as a reliable API inside our existing platform.

If you’ve spent the last few years building APIs and integrations, you’re comfortable with data, and you’ve leaned hard into Cursor or Claude Code to deliver projects faster — this is for you.

What you’ll do

• Build and ship LLM-powered features: prompt design, data prep, passing context to the model, parsing and validating output, returning clean APIs.
• Design and implement integrations between our product and third-party AI services (OpenAI, Anthropic, Hugging Face models, AWS Textract, etc.).
• Take document-processing and computer-vision tasks end-to-end: ingest → Textract/vision API → post-process → structured output consumed by our backend.
• Write backend services and APIs in Node.js (our primary backend), dropping into Python when a task calls for it (model work, data scripts, fine-tuning).
• Fine-tune existing models and prompts — not from scratch, but iterating on what’s already in place to get better accuracy, cost, or latency.
• Do the unglamorous but critical work: data collection, cleaning, transformation, pattern-finding — often by letting an LLM do the heavy lifting on structured and unstructured input.
• Maintain and improve existing AI and automation workflows already running in production.
• Monitor cost and performance of model/API usage, propose optimizations, and forecast costs for new features.
• Prepare and present demos and solution overviews to U.S.-based clients.
• Document architecture, prompts, and pipelines in Confluence.

What we’re looking for

• 2+ years shipping production backend systems, with meaningful hands-on experience integrating LLMs or AI APIs into real products.
• Strong in Node.js with the flexibility to work in Python — or a Python engineer who’s comfortable committing Node.js code. We need someone fluent on both sides; pure-Python candidates won’t be a fit.
• Solid grasp of algorithms and data structures — enough to write custom logic when an LLM or library can’t cover the case.
• Real experience with LLM integrations: OpenAI, Anthropic, or similar. Prompt engineering, function/tool calling, structured output, retrieval, evaluation.
• Familiarity with the Hugging Face ecosystem — picking models, running inference, fine-tuning where it makes sense.
• API and integrations background: REST, auth, webhooks, rate limits, retries, idempotency — the stuff that makes integrations not break at 2 a.m.
• Comfortable with data work: collecting, cleaning, transforming, and analyzing data (SQL, pandas, or the Node equivalents).
• Working knowledge of AWS — especially Textract, Lambda, S3, and the services around document and data pipelines. Bonus for Athena, Glue, Kinesis, SageMaker.
• Exposure to NLP and Computer Vision concepts — enough to pick the right tool and evaluate results, not necessarily to train SOTA models.
• Familiarity with CI/CD and deploying AI-powered services to production.
• Experience building chatbot workflows — conversational flows, multi-turn logic, context management — is a plus, as this is among our planned projects.
• AI-native delivery workflow. You use Cursor or Claude Code daily and know how to ship a project with minimal hand-written code — scoping work for the agent, reviewing generated code critically, orchestrating multi-step tasks, and getting to shipped quality faster than a traditional workflow. If you can’t describe how you use these tools to deliver, this role isn’t the right fit.

Nice to have

• Experience fine-tuning open-source LLMs or vision models on domain-specific data.
• Background in fintech, healthcare, or construction domains.
• Experience with vector databases, RAG pipelines, or agentic workflows.

What we offer

• Competitive salary with regular reviews.
• Support for individual entrepreneurs with accounting assistance.
• Fully remote work.
• A clear path for professional development and growth.
• A friendly team environment and engaging team-building activities (online and offline).