Jobs ML / AI

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

Now we are looking for a Software Development Engineer (MLOps) to join us as part of our team.

About the role

As a Senior ML Operations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges in the ML development, deployment, and support lifecycle. This role offers autonomy in decision-making, encouraging a proactive approach to solving complex issues and finding optimal solutions for scalable systems.

About the project

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

Team composition

1 Engineering Manager, 4 Senior ML Ops Engineers

Work Environment

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

As a qualified expert, You will

• Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation.
• Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment.
• Provide mentorship, technical guidance, and perform code reviews for team members.
• Design and deliver on projects end-to-end with little to no guidance.
• Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC.
• Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities.
• Support the vision and values of the company through role modeling and encouraging desired behaviors.
• Participate in various cross-functional company initiatives and projects as requested.
• Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value.
• Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance.

We’re looking for you if you have

• Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience).
• 5+ years of hands-on software development experience with Python (Java experience with strong Python proficiency also considered).
• 4+ years of experience designing and building distributed software systems and architectures.
• 3+ years of hands-on experience deploying and operating Machine Learning services in production.
• Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance.
• Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker.
• Demonstrated experience with SQL and NoSQL database design and implementation.
• Ability to decompose complex problems into iterative, well-defined solutions.
• Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems.
• Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions.
• Ability to be a team player who can also work independently.
• Experience working across multiple development teams is a plus.

Desired Skills

• Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
• Proficiency in GitOps practices and CI/CD pipeline development and management.
• Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems.
• LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock).
• LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar).
• Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector).
• RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance.
• Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML
• Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn
• Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka.
• ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow.
• API development with FastAPI or similar frameworks.
• Java programming experience is a plus.

Interview Process

1. Pre-Screening with the recruiter
2. Tech Interview(ML Fundamentals, Software Engineering) + Live Coding (up to 1,5 hours)
3. ML System Design Interview (up to 60 min)
4. Interview with Engineering Manager (60 min)
5. Final Client Interview (60 min)

About Sprinterra
Sprinterra is a technology and consulting company delivering custom software solutions and digital transformation initiatives for clients in the US and Europe. We combine strong engineering practices, Agile delivery, and business-oriented thinking. A key focus for Sprinterra is the adoption of AI-driven solutions - both internally and in client projects - to significantly increase efficiency, quality, and scalability.

Role Overview
We are looking for a senior executive technology leader who will own and drive Sprinterra's overall Technology and AI vision at the company level. This role carries full responsibility for defining, implementing, and scaling our AI-first transformation strategy across internal operations, delivery models, and client solutions.

The primary objective is to reposition Sprinterra as an AI-enabled organization by systematically transitioning from traditional manual processes to AI Agents, intelligent automation, and augmented engineering workflows.

This role operates at the executive level in close partnership with the Management Board, contributing to company-wide strategic decisions, investment priorities, capability development, and long-term technology positioning.

The Technology & AI Strategy Lead combines strategic leadership with architectural oversight and hands-on technical credibility. In addition to setting direction, this leader ensures execution, guiding teams, shaping complex solution architectures, supporting pre-sales initiatives, mentoring senior engineers, and acting as the ultimate technical authority within the organization.

Why join Sprinterra?
This is a rare opportunity to define and implement an AI-first transformation from the ground up. You will shape how a growing international technology company evolves its delivery model, internal operations, and client solutions through AI Agents and intelligent automation.

As Technology & AI Strategy Lead, you will operate as a key executive partner to the Management Board, directly influencing company strategy, investment priorities, and long-term market positioning.

Your decisions will shape:

• How we work
• What we build
• How we compete
• How we scale

Key Responsibilities
AI & Technology Strategy

• Define, own, and continuously evolve Sprinterra's overall Technology and AI strategy at the company level
• Identify and prioritize strategic opportunities to transition from traditional delivery models to AI Agents, LLM-driven workflows, and intelligent automation
• Establish and govern a long-term AI transformation roadmap fully aligned with business objectives, growth targets, and market positioning
• Advise and report to the Management Board on technology vision, investment priorities, progress, risks, and measurable outcomes
• Lead company-wide adoption of AI tools, frameworks, and engineering standards
• Drive organizational evolution toward AI-augmented delivery models and next-generation engineering practices
• Define and enforce standards, governance models, and best practices for responsible, secure, and scalable AI implementation
• Ensure all AI initiatives meet enterprise-grade expectations in quality, security, compliance, and ethical responsibility

Hands-on Engineering & Architecture

• Provide executive-level technical oversight and intervene hands-on in strategically critical or high-complexity projects when required
• Define architectural principles and review system and AI architectures across the organization
• Ensure solutions are scalable, secure, maintainable, and aligned with long-term technology strategy
• Act as the ultimate technical authority and escalation point for complex architectural or engineering challenges

Pre-Sales & Technical Sales

• Lead and shape technical pre-sales strategy in collaboration with Sales and Delivery leadership
• Define high-level system architectures and AI-driven solution approaches for strategic client proposals
• Serve as a trusted executive-level technical advisor in client meetings, workshops, and negotiations
• Translate complex business challenges into differentiated, AI-enabled technology solutions that strengthen Sprinterra's market position

Required Skills & Experience

• 10+ years of progressive experience in software engineering, system architecture, and technology leadership
• Proven track record of defining and executing company-level technology and AI strategies
• Strong practical experience with AI/ML, LLMs, AI Agents, and intelligent automation in production environments
• Demonstrated ability to lead large-scale technology transformations, not just individual projects
• Hands-on technical background with the ability to dive deep when strategically necessary
• Experience aligning technology initiatives with business strategy, growth objectives, and market positioning
• Executive-level communication skills, with the ability to influence board members, senior stakeholders, and clients
• Experience leading technical pre-sales, shaping solution strategy, and representing technology at the executive client level
• Strategic leader with full ownership mindset and accountability for outcomes
• Capable of balancing long-term vision with disciplined execution
• Confident decision-maker comfortable operating with ambiguity and high impact
• Influential communicator able to align leadership, engineering, and business teams
• Drives change rather than maintaining status quo
• Trusted advisor to executive leadership and key clients

S&F AI Automation started as an internal R&D team, using AI to solve our own company's business problems. After building real expertise and a portfolio of delivered projects, we're now turning this into a practice that helps other businesses level-up their operations with AI.

We are a team of AI geeks who see our work as a way to express creativity. We are looking for someone who shares this obsession and will raise the bar: challenge our architecture decisions, bring tools and techniques we haven't tried, and help us turn prospects into projects we will enjoy engineering.

You'll join a small team at the stage where everything you do has outsized impact. This role brings senior-level engineering capacity to the team while also adding the presales muscle needed to grow the client base.

Technical requirements

• TypeScript (Node.js) OR Python — production-level proficiency in at least one.
• Building LLM-powered applications: agents, assistants, multi-step workflows, structured outputs. Prompt engineering: function calling / tool use, chain-of-thought. RAG: document ingestion, chunking, embedding models, relevance tuning. LLM SDKs: Anthropic Claude, OpenAI. Frameworks: LangChain, LangGraph. Building and integrating MCP (Model Context Protocol) servers.
• Agentic architecture: agent loops, tool orchestration, memory management, multi-agent systems. Knowing when agents are justified vs simpler alternatives.
• Workflow orchestration: Temporal (readiness to build durable workflows), n8n (low-code automation). Vector search: Qdrant, AWS OpenSearch, embedding pipelines, hybrid search.
• API & backend: FastAPI OR Fastify / NestJS. REST APIs, webhook integrations.
• AWS: Bedrock, SageMaker, Lambda, OpenSearch. Cloud ecosystems: AWS (Anthropic), Azure (OpenAI), GCP (Gemini) — platform-exclusive models and services. Docker, IaC basics, VPS provisioning, serverless patterns.
• Zero Data Retention policies, data isolation, private cloud deployments. LLM safety: guardrails, hallucination mitigation, prompt injection protection. Ability to articulate security posture to enterprise clients.
• LLM cost optimization: token budgeting, semantic caching, model routing, fallback strategies, choosing the right model tier.
• Active use of AI coding tools: Cursor, Claude Code, GitHub Copilot, or similar.
• Nice-to-have: Voice AI (STT/TTS), multimodal AI (OCR, vision-language models), LLM evaluation frameworks.

Who you are

You have 3+ years of experience in a technical presales, solutions engineering, or solutions architect role. You have led discovery calls, scoped proofs of concept, and handled technical objections in B2B sales cycles.

You have hands-on experience building AI-powered applications in a professional setting, not just personal experimentation.

Your English is fluent at C1+ level. You can lead live calls with English-speaking stakeholders and handle nuanced technical questions without hesitation.

You communicate consultatively. You guide stakeholders to clarity instead of overwhelming them with options. You can easily explain a complex concept to a non-technical audience.

You take ownership and initiative. You do not need a heavy playbook. You identify gaps, flag risks early, and move things forward. Much of the presale process is still being built, and you are comfortable shaping it as you go.

You are adaptable. You are comfortable in a small team where priorities shift, and where the role will evolve as the practice grows.

What the work looks like

Provide technical depth during presales.
You join prospect calls alongside the department head and own the technical side of the conversation.You probe for technical constraints, assess feasibility in real time, identify integration points or data dependencies, and start forming an architecture before the call ends.

Design AI solutions that match the actual problem.
You translate business context into an architecture with realistic scope and effort estimates. You know when prompt engineering is enough, when RAG is needed, when fine tuning or custom development is justified, and you can explain why.

Connect AI to the tools businesses already use.
You design integrations that make AI solutions practical: pulling data from CRMs or ERPs, syncing with cloud drives or email, pushing outputs into Slack channels or project management tools. You think in terms of end to end workflows, not standalone modules.

Contribute to building, not just sales.
Between engagements, you write production code, guide architecture decisions, and help the team ship client and internal projects. This role carries engineering weight, not just advisory influence.

Outcomes over the next 6–12 months

Strengthen the team’s engineering capability
Provide architectural guidance on client or internal projects so solutions are more reliable and scalable than what would have been built without your input.

Ramp up as a presales partner within 30 days
Independently lead the technical portion of prospect calls by the end of month one. The department head should be confident you ask strong discovery questions, communicate clearly, and propose relevant approaches without heavy coaching or supervision.

Help close the first $80k in new revenue
Participate in presales engagements that result in at least $80k in signed project value within the first six months. This includes Discovery Sprints and follow-on projects that come from them.

About Speed & Function

Speed & Function is a software development company focused on long-term partnerships, not transactional outsourcing. Since 2006, we’ve been building digital products and teams with a strong emphasis on trust, ownership, and collaboration. We evolve our processes as real-world complexity demands.

How to apply

Apply with a short cover letter that includes why you’re considering a new opportunity, your hourly rate, your English level, your availability, and your location.

Sii Ukraine is a subsidiary of Sii Poland — the leader in IT, engineering, and consultancy services with over 7500 IT experts in Poland and more than 250 prestigious customers. We are looking for ambitious and top-quality professionals to join our project teams. 

We are seeking an AI Leader with a holistic understanding of modern AI technologies - including classical machine learning, deep learning, and especially the latest advancements in generative AI. This role requires not only deep technical literacy but also the ability to guide teams, mentor talent, and foster a high-performing, collaborative AI organization. As a people-first leader, this individual will inspire and develop multidisciplinary teams, influence stakeholders, and ensure alignment between technical execution and business goals. The role may involve spending up to 70% of the time on non-technical activities such as stakeholder engagement, cross-functional leadership, and supporting business development or sales initiatives.

Responsibilities:

• Develop, mentor, and empower multidisciplinary AI teams, including data scientists, engineers, and product managers—by setting clear expectations, providing coaching, and cultivating a collaborative, high-performing culture.
• Drive talent strategy for the AI organization, including hiring, onboarding, performance management, and building a diverse and inclusive team with strong technical and interpersonal skills.
• Design and oversee end-to-end AI system architectures, ensuring seamless integration of machine learning models, data pipelines, and infrastructure while guiding teams toward scalable, high-quality solutions.
• Champion innovation by staying current with cutting-edge AI research, emerging technologies, and experimental techniques, and by encouraging continuous learning across the organization.
• Represent the AI function in customer-facing and executive-level engagements, delivering technical presentations, leading discussions, addressing complex inquiries, and clearly articulating AI value propositions and solution feasibility.

Requirements:

• 10+ years of experience delivering customer-facing AI solutions, including 5+ years in a leadership or equivalent strategic role guiding teams and driving end-to-end AI initiatives.
• Deep technical expertise across AI models, algorithms, and tooling, with strong proficiency in at least one major cloud provider’s AI/ML ecosystem (AWS, GCP, or Azure).
• Proven ability to work cross-functionally with product, engineering, sales, and executive stakeholders to translate complex, cloud-based AI capabilities into clear, high-impact business outcomes.
• Demonstrated commitment to continuous learning, maintaining up-to-date knowledge of emerging cloud AI services, machine learning infrastructure advancements, and evolving industry best practices.
• Exceptional communication, leadership, and people-management skills, with a track record of hiring, developing, and enabling high-performing AI teams.
• Excellent command of English, enabling effective and fluent communication
• Tax residence in Ukraine and fluency in Ukrainian is required

Meet the YozmaTech

YozmaTech isn’t just another tech company — we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.

Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family — you’ll feel right at home with us.

We are now launching our next growth engine — AI-powered, automated, and data-driven.

This role is not about coordination. We are looking for a builder who will own and develop our end-to-end Outreach & GTM Engine.

Key Requirements:
🔹 2+ years of experience in SDR, Growth, RevOps, GTM, or Marketing roles;
🔹 Strong hands-on CRM experience (HubSpot / Monday — customization and workflow building);
🔹 Experience with automation tools (n8n, Zapier, Make, Clay, etc.);
🔹 Experience working with LLM workflows and AI tools (ChatGPT, Claude Code, etc.);
🔹 Builder mindset — able to ship fast;
🔹 High ownership and accountability;
🔹 Strong analytical thinking;
🔹 Clear communication skills;
🔹 Comfortable in a fast-paced scale-up environment;
🔹 Systems thinker, not just a task executor;
🔹 English — Upper-Intermediate or higher;
🔹 Experience in the tech outsourcing / R&D services industry;

Will be plus:
🔹 Experience building GTM systems from 0 → 1;

What you will do:
🔹 Build and optimize outbound and SDR automation systems;
🔹 Architect end-to-end CRM and GTM workflows (HubSpot / Monday);
🔹 Design and deploy AI agents for research, personalization, and qualification;
🔹 Improve funnel conversion rates and pipeline predictability;
🔹 Align GTM insights with Recruiting teams;
🔹 Drive measurable impact: more qualified meetings, lower cost per meeting, predictable pipeline growth;

Interview stages:
🔹 HR-interview;
🔹 Tech interview;
🔹 References;
🔹 Offer;

Why Join Us?
At YozmaTech, we know that great companies are built by the people who create the environment where teams can truly thrive.
We’re a global company expanding across multiple markets, and our internal teams play a key role in shaping how we grow, collaborate, and support both our clients and developers.
Here, your ideas matter. We encourage initiative, experimentation, and ownership. If you see a better way to do something — we want you to build it.
You’ll work closely with leadership, influence real decisions, and help develop new directions for the company.

From day one, you’ll get:
🔹 The opportunity to launch initiatives and shape internal processes
🔹 A collaborative international team that values ownership and trust
🔹 Exposure to global markets, startups, and innovative tech companies
🔹 Space to grow your role and take on new responsibilities as the company evolves

After You Apply
Our hiring process is clear and respectful.
You’ll always know who you’re meeting, what the role involves, and how you can contribute to the company’s growth.

Everyone’s Welcome
We believe diverse teams build stronger companies.
At YozmaTech, we create an environment where different perspectives are valued and everyone can grow.

Ready to grow with us?
Let’s talk.
Your next chapter at YozmaTech could start here.

We are looking for a Machine Learning Engineer with a focus on Natural Language Processing (NLP) and Automatic Speech Recognition (ASR).

This role is ideal for someone with solid ML fundamentals who has hands-on experience with real-world data and is interested in working with text and speech-based systems.

Requirements:

— 2–4+ years of experience.
— Strong understanding of how models perform and behave in production environments.
— Experience with GPU-based training is a strong plus.
— Python: Strong proficiency.
— Data Science Stack: Hands-on experience with NumPy, Pandas, and scikit-learn.
— DL Frameworks: Experience with PyTorch (preferred) or TensorFlow.
— English level: Upper-Intermediate or higher.

ML & Mathematics:
— Solid understanding of linear algebra, probability, and statistics.
— Practical knowledge of classic algorithms (regression, classification, clustering).
— Deep understanding of performance metrics (Accuracy, Precision, Recall, F1) and the Bias-Variance tradeoff.

NLP:
Experience with:
— Tokenization, lemmatization
— TF-IDF, Bag of Words, n-grams
Understanding of Transformers architecture
Experience with:
— Hugging Face Transformers
Practical experience with:
— Text classification
— Named Entity Recognition (NER)
— Fine-tuning pre-trained models.

ASR (Automatic Speech Recognition):
Understanding of:
— Spectrograms
— MFCC
Experience with audio processing:
— librosa, torchaudio
Familiarity with:
— CTC (Connectionist Temporal Classification)
— Seq2Seq + Attention
— Wav2Vec 2.0
— WhisperX
Practical experience with:
— Speech-to-text pipelines;
— Audio preprocessing and cleaning;
— Data augmentation (noise, speed, etc.)
Familiarity with metrics:
— WER (Word Error Rate)
— PER (Phoneme Error Rate).

Nice to have:
— Production deployment.
— Working with noisy data.

We offer:
— Interesting tasks and projects.
— Competitive salary.
— Remote work.
— Annual paid vacation: 20 days.
— Paid sick leaves: 10 days.

Welcome to Drawer.AI!

- What we do: AI-driven workflows that let estimators pull quantities and costs from complex PDF drawing sets.  
- Stage: Seed-funded, revenue-generating, aiming for a Series A in 2026.  
- Why join now: Real customers are pushing our roadmap faster than our current front-end team can build.

We are looking for an AI/ML Engineer who will work at the intersection of LLMs, classical algorithms, and applied machine learning, focusing on designing and improving intelligent systems that solve complex real-world problems.

Key Responsibilities:

• Conduct extensive research, prioritize and analyze possible approaches to solving complex technical problems.
• Audit existing algorithms and improve them using LLM/ML approaches.
• Design and develop new solutions that combine LLMs with traditional algorithmic techniques.
   

Requirements:

• 5+ years of experience in AI, mathematical optimization, or a closely related field.
• Solid understanding of machine learning and deep learning concepts.
• Experience with neural networks for object classification, detection, and segmentation.
• Strong mathematical and statistical foundation (linear algebra, Euclidean geometry, probability).
• Strong expertise in algorithms and data structures (graph theory, computational geometry, mathematical optimization).
• Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or equivalent.
• Proven experience writing custom algorithms and heuristics, and integrating them with ML approaches.
• Experience deploying models in production environments.
• Hands-on experience with AWS services (S3, Lambda, Step Functions, Bedrock).
• Experience building LLM-powered pipelines with LangChain.

Nice to have:

• Experience with graph neural networks (GNNs).
• Experience extracting and processing information from PDF and SVG files.
• Experience with Django, FastAPI.
• Track record of integrating LLMs into production products.
• Published research in any domain of AI.
• Relevant AI/ML certifications.
• Participation in hackathons or Kaggle competitions.
• Master’s or PhD in Computer Science or a related field.

Join our stellar team at Drawer.AI, where excellence meets opportunity! Experience the exceptional; enjoy a competitive salary and career advancement and the outstanding work environment we take pride in. Elevate your professional journey with us – because we believe in creating success together. Build a better future with us!

• Project Description:

  Learning Management and Development enables each member of the company to access various training services, such as trainer-led courses, upskilling programs for Direct and Line Managers, webinars, foreign language lessons, training paths & sets, internship programs, self-learning libraries, external providers (conferences and certifications), and other training services.

• Responsibilities:

  • Organization/help any events concerned with training in location;
  • Ability for accurate work in internal management systems and tools;
  • Training modules preparations (infrastructure, materials, invitations, certificates, problem solving etc.);
  • Introduction trainings (consulting, organization, closing in the system).
  • Process the Training plan (assure the accuracy of the forecast);
  • Cooperation with internal and external training providers;

• Mandatory Skills Description:

  Higher education;
  • Good communication skills;
  • Experience with databases;
  • Advanced PC user (MS Office, Outlook, Internet Explorer);
  • Great sense of responsibility with ability to work under pressure independently as well as in teams;
  • Strong attention to details and organization;
  • Self-starter and proactive approach to resolving

• Nice-to-Have Skills Description:

  Organization experience (internal events, daily activities related with trainings)

• Languages:
  • English: B2 Upper Intermediate

Imagine joining a startup at the very beginning - founded by Ukrainians in Silicon Valley, backed by global investors, building AI that's rewriting how a $7 trillion industry works. Superagent AI is creating the world's first autonomous AI sales agent - an AI that listens, learns, and coaches humans to sell better than ever before. 

We're already working with top U.S. insurance networks - and we're just getting started.

Now, we're seeking one exceptional individual - sharp, curious, and hardworking - who wants to build, learn, and grow directly alongside the founders.

The Role: AI Prompt Engineer / Research Assistant

You'll be part of the small, core team helping our AI learn to think and communicate like a top-performing human. You'll experiment, build, and constantly iterate.

Your work will be seen and used by real customers - in the U.S., Europe, and beyond.

You will:

• Write and optimize prompts that guide how our AI "thinks" and "talks";
• Design realistic conversations between AI and humans (sales, coaching, empathy, etc.);
• Analyze AI outputs and refine for accuracy, tone, and compliance;
• Research and test different sales, communication, and behavior models;
• Collaborate with founders and engineers to improve product intelligence.
   

This is a creative, technical, and analytical role - perfect for someone who lives and breathes AI and wants to grow fast.

What We're Looking For

We don't care about your degree. We care about your hunger, brains, and curiosity.

You might be the right person if you:

• Write and think fluently in English;
• Fluent in optimizing your workflows with Claude Code or Cursor/Antigravity/etc;
• Spend hours experimenting with ChatGPT, Perplexity, Gemini, Grok, and other AI models & tools;
• Love learning, figuring out how things work, and pushing limits;
• Have a mix of logic + creativity - analytical and human at the same time;
• Thrive in fast, messy, startup environments where you get stuff done.
   

Bonus points for:

• Side projects (anything that shows initiative);
• Experience in linguistics, psychology, computer science, or sales;

• Understanding of how people communicate, persuade, or make decisions.
   

   

Why You'll Love It Here

Real mentorship - You'll work directly with our founders:

• Vlada Lotkina (Wharton MBA, 8-figure exit, ex-BCG & Dell Strategy)
• Vadym Shashkov (AI engineer, YC alum, built 70+ mid-large-sized projects and managed large teams)
   

You'll learn more in 3 months here than in 3 years anywhere else.

• Global exposure - Build AI that's being deployed across the U.S. and Europe.
• Ownership & trust - You'll make real decisions, not PowerPoints.
• Career rocketship - Grow from "junior" to "indispensable".
• Flexibility - Work remotely, but think globally.
• Competitive pay with performance-based bonuses.

What Makes This Special

This is not a "prompt engineering internship". This is your chance to help train the mind of an AI that will transform how millions of people work. 

If you're the type who's constantly curious, relentlessly improving, and deeply proud of your craft, you'll thrive here.

Senior Computer Vision Engineer

About Us

We are a technology company with roots in algorithmic trading, where we built real-time systems that process massive, noisy data streams with zero tolerance for delay.
We are now applying this engineering DNA to a new MilTech division — an AI battlefield intelligence platform, from petabyte-scale video annotation to real-time inference on custom hardware at command posts.
We have exclusive data partnerships with frontline Ukrainian military units, an operational annotation pipeline with active learning and a trained detection model (v1).
The infrastructure is built and the data is flowing — we need experienced CV engineers to push the models forward.

The Role

We are looking for a Senior CV Engineer to join the ML team and focus on developing, training, and optimizing computer vision and vision-language models for battlefield target detection, classification, and contextual intelligence.

What You Will Do

Model Development & Training
- Train and iterate on detection, classification, tracking, and segmentation models on real combat footage
- Experiment with vision-language models (VLMs) for scene understanding and contextual reasoning
- Run distributed multi-GPU training experiments and manage the experiment lifecycle
- Improve model accuracy through architecture selection, hyperparameter tuning, data augmentation, and training strategy
- Contribute to the active learning loop: analyze confidence distributions, refine auto-labeling thresholds, identify hard cases for human review

Battlefield Contextual Intelligence
- Develop area-level temporal analysis: change detection across sequential overflights, environmental cue recognition
- Build sequence-aware model architectures (temporal attention, video transformers) for multi-frame reasoning
- Collaborate with military subject-matter experts to encode operator knowledge into model features and evaluation criteria

Model Optimization & Deployment
- Quantize and optimize models for deployment on custom AIPU inference hardware (INT8, mixed-precision, quantization-aware training)
- Validate that optimized models meet accuracy targets against gold-set benchmarks
- Support multi-stream inference validation at command post scale (100+ concurrent streams per rack)

Data & Annotation Quality
- Work with the annotation team to refine the labeling ontology and quality control criteria
- Analyze model errors to identify gaps in training data and drive targeted data collection
- Evaluate dataset diversity and coverage using embedding-based curation tools

What We Are Looking For

Must Have
- 4+ years in computer vision and deep learning, with production model deployments
- Strong PyTorch proficiency, including distributed training (DDP/FSDP)
- Hands-on experience with object detection pipelines (YOLO family, RT-DETR, or similar)
- Model optimization experience: quantization, pruning, or export to inference runtimes (ONNX, TensorRT, or similar)
- Solid understanding of training methodology: experiment design, ablation studies, metrics analysis
- Python as primary language; clean, production-grade code

Strong Plus
- Experience with vision-language models (CLIP, Florence, PaliGemma, or similar)
- Video understanding or temporal model architectures
- UAV / drone / robotics domain experience
- MilTech or defense-related work
- Change detection or remote sensing experience
- Experience with active learning or data-centric ML workflows
- C++ for performance-critical components

Tech Stack

- Training: PyTorch, distributed training (DDP/FSDP)
- Data processing: Ray Data
- Data curation: FiftyOne, embedding-based selection
- Annotation: CVAT with pre-annotation and active learning
- Experiment tracking: MLflow
- Inference: Custom AIPU hardware (model export via ONNX + quantization)
- Infrastructure: Kubernetes, on-prem GPU cluster (NVIDIA L40S)
- Storage: S3-compatible object storage (Ceph)

What We Offer

- A role focused on what you do best — building and improving CV models, not setting up infrastructure
- Real combat footage dataset — petabyte-scale, operationally relevant, impossible to replicate
- Dedicated on-prem GPU resources — no cloud queues or budget negotiations for compute
- Direct collaboration with military operators whose domain expertise shapes the models
- Competitive salary
- Stock options
 

N-iX is looking for a Lead AI Engineer to drive the design, evaluation, and evolution of AI-powered solutions. In this role, you will focus on building and scaling intelligent systems (including RAG-based and NLP-driven applications), while guiding clients through technical discovery, architecture decisions, and AI adoption strategies.

You will work closely with stakeholders to design and deliver AI-driven solutions that enhance business efficiency, streamline processes, and unlock value from data, while ensuring scalability, quality, and cost-effectiveness.

Key Responsibilities

• Design and implement AI-driven systems within Palantir Foundry AIP, including RAG pipelines, LLM-powered applications, and NLP workflows for document understanding and knowledge extraction
• Lead the end-to-end lifecycle of AI solutions, from data ingestion and embedding generation to retrieval, reasoning, and response generation
• Collaborate with AI/ML engineers to productionize models and LLM-based solutions, ensuring reliability, scalability, and performance
• Drive technical discovery and solution assessment, analyzing possible AI implementations, clarifying their architecture, and identifying risks and improvement opportunities
• Evaluate and optimize RAG pipelines, including retrieval quality, chunking strategies, embeddings, and hybrid search approaches
• Assess scalability, multilingual capabilities, and cost-performance trade-offs of AI systems
• Advise on AI architecture evolution, including platform choices, vendor dependencies, and potential migration paths
• Establish best practices for LLMOps / MLOps, including evaluation frameworks, prompt engineering, monitoring, and iterative improvement
• Ensure responsible AI practices, including data governance, security, and compliance considerations
• Mentor engineers and foster collaboration across AI, data, and product teams

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 6+ years of experience in software engineering, with strong exposure to AI/ML systems
• Hands-on experience with LLM-based applications, RAG pipelines, or NLP systems
• Experience building multimodal AI systems, including working with text, documents, images, and/or other data types
• Experience developing AI solutions for multiple languages, including handling multilingual data, prompts, and evaluation
• Strong proficiency in Python and experience with AI/ML frameworks and tooling
• Experience designing and deploying scalable AI systems in production environments
• Understanding of vector databases, embeddings, retrieval strategies, and hybrid search
• Experience with MLOps / LLMOps practices, including model lifecycle management, evaluation, and monitoring
• Ability to perform technical discovery and communicate complex AI concepts to both technical and non-technical stakeholders
• Strong leadership, communication, and stakeholder management skills
• English Upper-Intermediate +

Nice to Have

• Experience with Palantir Foundry
• Familiarity with distributed systems or large-scale data processing (e.g., Spark)

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries. 

About the Product: 

Over the past few years Coro has received $175M in funding and is one of the fastest growing Cybersecurity companies in the world. The funding is primarily being used to enhance the Coro Cybersecurity SaaS platform and for additional headcount growth, as Coro continues to expand globally.   

Coro started in Tel-Aviv, Israel and is also headquartered in Chicago, IL with additional offices in New York, London, and remotely across the globe. As a global organization, Coro gives you the ability to work with people and teammates from around the world. 

Coro’s AI enabled Modular Cybersecurity Platform is the only one in the industry specifically designed to provide Mid-Market customers with scalable and affordable “enterprise grade” protection for all of their priority threat vectors. 

About the Role: 

This is a principal-level AI engineering role focused on driving the next generation of AI adoption across Coro — both within the product and across the organization.

You will take ownership of AI-driven initiatives end-to-end, shaping how engineering teams build, ship, and scale software using LLMs, agents, and intelligent tooling. The role is not about day-to-day coding, but about defining architecture, building workflows, and delivering impactful AI solutions that improve developer productivity and system quality.

You will work closely with DevEx, Core Engineering, Product, and R&D, helping standardize and scale AI usage across teams — moving from ad-hoc usage to a structured, high-impact AI-driven environment.

If you are looking for a role where you can combine technical leadership, ownership, and innovation, and influence how a global engineering organization adopts AI — this is the role for you.

Key Responsibilities: 
 

•  Build a shared vision with DevEx and Core Engineering leadership for AI-driven developer tooling, supporting development by prototyping agents and workflows while serving as a subject matter expert for internal R&D efficiency
• Work closely with Product and R&D stakeholders, taking full responsibility and ownership from conception to post-deployment of AI tools that automate and optimize the daily work of engineering teams
• Work in a modern CI/CD environment with a team of highly skilled developers, leveraging LLMs and agentic frameworks to redefine and improve the developer experience
• Spearhead the development of new internal features and AI agents — from automated code review to intelligent debugging tools — while owning the full development lifecycle
• Contribute to the overall technical strategy and roadmap of the internal platform, driving initiatives that use AI to improve developer velocity, code quality, and system reliability
• Promote a culture of innovation and continuous growth, encouraging the exploration of emerging AI technologies to solve complex engineering bottlenecks
• Continuously monitor developer feedback and internal productivity metrics to identify opportunities for optimization and further tool refinement

Our Stack: Java (Spring-based microservices), Golang, and Python services, running on Kubernetes (AWS EKS). We use Redis, MongoDB, SQL, OpenSearch, RabbitMQ,  AWS Lambda and additional cloud-native technologies. We encourage engineers to stay current with industry trends and emerging technologies to continuously evolve our platform

Required Competence and Skills:
 

• Proven experience working with AI/LLMs, agents, or AI-driven workflows in production environments
• 7+ years of experience building complex web applications and scalable backend systems
• Strong background in platform engineering, developer productivity, or internal tooling
• Ability to work closely with engineers, R&D leaders, and cross-functional stakeholders to define productivity goals and design AI-driven solutions
• Strong product and engineering judgment, with a clear understanding of how to build internal tools that create a smooth and frictionless developer experience
• Strong focus on quality, simplicity, and maintainability when designing solutions for complex engineering problems
• Hands-on experience with LLMs, automation, and AI-driven workflows, combined with an analytical, curious, and data-driven mindset
• Experience implementing AI solutions at an organizational level (not only in isolated projects)
• Strong collaboration and communication skills, with empathy for the challenges faced by modern engineering teams

Nice to have:
 

• Technical leadership experience in roles such as Architect, Tech Lead, or similar, especially in platform engineering or developer productivity areas
• A degree in Computer Science or a related field is a plus, but we are also open to exceptional candidates with strong practical experience

Why Us?

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

We’re hiring RL Environments Engineers to design and build MLE/SWE environments that deliver high-quality, diverse tasks with minimal supervision. You will target a specific language model, meet a defined difficulty distribution, and deliver about one task every 10 hours. This is a remote contractor role with ≥4 hours overlap to PST and advanced English (C1/C2) required.

Responsibilities

• Design and build MLE/SWE environments and diverse tasks.
• Target a specified language model and satisfy the required difficulty distribution.
• Deliver ~1 task per 8-10 hours once onboarded.
• Edit tasks within 24 hours based on customer feedback.
• Onboard quickly and start delivering on day one with minimal supervision.
  
   

Requirements

What we’re looking for (must-haves)

• Strong Python (engineering-quality, not notebook-only).
• Hands-on LLM/GenAI work in production: you’ve shipped and operated real systems (not “wrapped an API and called it AI”).
• Strong product/engineering ownership: comfortable building, fixing, and scaling end-to-end pipelines.
• Docker + production mindset (debugging, reliability, iteration speed).
• ≥4 hours PST overlap and advanced English (C1/C2) for specs, reviews, and feedback.
• Ability to meet throughput expectations and respond quickly to feedback.
   

Strong signals (nice-to-have, big plus)

• Experience designing environments/tasks for RL and/or evaluations.
• Experience in high-stakes or regulated domains (e.g., healthcare, finance, fraud/risk, safety-critical systems).
• ML systems experience: CI/CD, monitoring, evaluation harnesses, MLOps, scalable pipelines.
• Systems depth: C++/Rust/Scala/Java, performance/infra optimization, distributed systems.
• Exposure to RL / bandits / agentic systems (not required, but a strong signal).
   

Not a fit if

• You’re primarily a prompt engineer without strong ML/engineering foundations.
• You’re a research-only / academic-only profile with little or no shipping/production ownership.
• You’ve only built in notebooks or rely heavily on managed AutoML tools.
  
   

Working Conditions

• Remote, independent contractor engagement.
   
• 40 hours/week - full time - need 4 hours overlap in the working hours with the team in Pacific time zone;
• Deliverables-driven; begin shipping on day one.

Conversion & relocation: Potential path to FTE and relocation to the Bay Area if performance and mutual fit align.
 

We're hiring Low-Level Engineers to design and build RL environments that teach LLMs kernel development, hardware optimization, and systems programming. The goal is to create realistic feedback loops where models learn to write high-performance code across GPU and CPU architectures.

This is a remote contractor role with ≥4 hours overlap to PST and advanced English (C1/C2) required.

Requirements

Minimal Qualifications

• Strong Python (engineering-quality, not notebook-only)
• Production mindset (debugging, reliability, iteration speed)
• Clear understanding of LLMs, their current limitations
• Ability to meet throughput expectations and respond quickly to feedback

You may be a good fit if one of the following applies

• Deep understanding of memory hierarchies (registers, L1/L2/shared memory, HBM, system RAM) and their performance implications
• Threading models, synchronization primitives, and concurrent programming (warps, thread blocks, barriers, atomics)
• Cache coherence, memory access patterns, coalescing, and bank conflicts
• JIT compilation frameworks (e.g., Triton, JAX/XLA, TorchInductor, Numba)
• AOT compilation and optimization passes (LLVM, MLIR, TVM)
• Compiler and kernel frameworks such as CUTLASS, BitBLAS, or JAX/Pallas
• Modern C++, including templates, concurrency, and build systems
• Assembly-level programming and low-level optimization across GPU and CPU architectures (e.g., x86, ARM, NVIDIA Hopper, NVIDIA Blackwell)
• Debugging and optimizing GPU kernels using CUDA and/or HIP/ROCm
• Developing PyTorch custom operators, backend extensions, or dispatcher integrations (e.g., ATen, TorchScript, or custom backends)
• Customizing, extending, or optimizing c, including distributed inference workflows
• GPU communication libraries and collectives, such as NVIDIA NCCL, AMD RCCL, MPI, or UCX
• Mixed-precision and low-precision kernels (e.g., FP16, BF16, FP8, INT8), including numerical stability and performance trade-offs

Job Description

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• +5 years of experience in machine learning and NLP, with a focus on developing applications using LLMs.
• Proficiency in programming languages such as Python and frameworks/libraries like TensorFlow, PyTorch, Hugging Face Transformers.
• Experience with cloud services (AWS, Azure, GCP) for deploying ML models and applications.
• Strong understanding of RESTful APIs for integrating chatbot functionalities into different platforms.
• Familiarity with version control tools (e.g., Git) and ML development tools (e.g., Jupyter Notebooks, MLflow).
• Participate in pre-sales activities, including developing ML offering materials and engaging with clients to understand their needs, presenting tailored solutions, and demonstrating the potential impact of our ML technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Preferred (but not mandatory):

• Certifications or advanced training in machine learning, cloud architectures, or similar fields.
• Active participation in relevant tech communities or contributions to open-source projects in the ML/NLP domain.
•  

Job Responsibilities:

• Design and implement chatbot solutions using Large Language Models such as OpenAI GPT API or similar frameworks.
• Collaborate with cross-functional teams to integrate chatbot solutions into existing platforms and workflows.
• Optimize and fine-tune LLMs for performance, accuracy, and user engagement.
• Build and optimized RAG and vectorized databases
• Monitor and evaluate the performance of chatbot applications, identifying areas for improvement and implementing updates.
• Stay up-to-date of developments in AI, machine learning, and NLP to ensure our solutions remain cutting-edge.
• Develop and maintain documentation related to ML models, including model design, deployment details, and performance metrics.
• Work with data engineers to ensure the availability and quality of data for training and fine-tuning models.

• Implement security measures to protect sensitive information processed by chatbots

   

Department/Project Description:

We are seeking a highly skilled and motivated Machine Learning Developer to join our dynamic team, focusing on developing, deploying, and optimizing Large Language Models for chatbot applications. This role involves working on cutting-edge AI technologies to create conversational agents that provide engaging and insightful interactions with users. The ideal candidate will have a strong background in machine learning, Natural Language Processing, and experience in developing LLM-based chatbots.