Jobs Python

We are looking for an enthusiastic and proactive Intern Python Developer to join our dynamic team!

This is a fantastic opportunity to start your career in software development and gain hands-on experience working with modern technologies in a collaborative and supportive environment. If you complete the internship successfully, you will have the chance to continue your journey with our team for at least 1 year.

For this internship, you need to have:

— Good knowledge of Python programming language;
— Understanding of basic software development concepts such as data structures, algorithms, object-oriented programming, and async programming;
— Knowledge of Django;
— Familiarity with version control systems, preferably Git;
— Familiarity with Linux systems;
— Familiarity with SQL and NoSQL Databases;
— Intermediate English level.

Would Be a Plus:

— Familiarity with ML, LLM, and RAG;
— Passionate about AI;
— Some experience in pet projects.

Our selection process includes:

— HR interview;
— Tech interview;
— Final interview with the founders of the company.

We offer:

— Internship schedule: Monday to Friday, 10.00–19.00
— Office-based / remote work;
— No time trackers or other bureaucratic measures;
— Practical experience on internal projects;
— Networking with experienced professionals willing to share their knowledge and experience;
— Opportunity to obtain a contract with HYS Enterprise as a Junior specialist.
— Gifts for birthdays and professional holidays;
— Interaction with experienced professionals willing to share their knowledge;
— Participation in internal and external events.

Recruitment stages: HR interview, Tech interview, Final interview, Offer.

We are looking for a strong Python Engineer who wants to work on modern backend systems, cloud infrastructure, AI integrations, and automation-driven products.

This role is for an engineer who:

• is confident working with backend architecture,
• understands scalable distributed systems,
• can build production-grade APIs,
• has experience with cloud infrastructure,
• and wants to work closer to the modern AI ecosystem.

Responsibilities

• Develop backend services using Python
• Build and maintain APIs using FastAPI
• Work with asynchronous programming and asyncio
• Integrate AI services and LLM-based tooling
• Develop automation workflows and backend integrations
• Work with cloud infrastructure and deployment pipelines
• Build scalable backend architecture
• Optimize service performance and reliability
• Work with Kubernetes environments
• Integrate external APIs and third-party services
• Participate in technical and architectural decision-making
• Write maintainable, production-ready code
• Work with monitoring and debugging production systems

Requirements

Must-have:

• 4+ years of experience in Python development
• Strong production backend development experience
• Experience with FastAPI
• Solid knowledge of asyncio and asynchronous programming
• Experience building REST APIs
• Understanding of scalable backend architecture
• Experience with AWS
• Experience with Kubernetes
• SQL and database experience
• Git workflows
• Understanding of cloud-native applications
• Experience troubleshooting production systems
• English level sufficient for technical communication and documentation

Nice to have

• AI integrations experience
• LLM tooling / AI APIs
• Background tasks and async processing
• Docker
• CI/CD pipelines
• Experience with distributed systems
• Monitoring / observability experience
• Infrastructure knowledge
• Experience with automation platforms
• Data engineering experience
• Event-driven architecture
• WebSocket / realtime systems
• High-load backend systems
• Experience with the modern AI ecosystem

Who We Are Looking For

We are not looking for a “regular Python developer.”

We are looking for a backend engineer who:

• understands the modern cloud/backend ecosystem,
• can independently design backend solutions,
• thinks about scalability and reliability,
• knows how to work with asynchronous systems,

• and is comfortable working at the intersection of backend, cloud, and AI integrations.

   

Particularly valuable experience includes:

• AI-powered systems,
• Python + cloud knowledge,
• Kubernetes experience,
• backend architecture mindset,
• automation-first thinking.

Tech Stack

• Python
• FastAPI
• asyncio
• AWS
• Kubernetes
• REST APIs
• Docker
• Git
• Cloud infrastructure
• AI / LLM integrations

We’re looking for a talented Fullstack Engineer with strong experience in Python, React.js, and AWS to join our team in an outstaff role for our client - a startup developing a CRM and project management platform for construction companies

You’ll be working directly with our core team, contributing to architecture decisions, implementing new features, and helping build a scalable, modern SaaS product in Agile environment

 

Frontend

• Experience with React.js
• Strong knowledge of JavaScript/TypeScript
• Experience with Redux
• Experience with AntDesign or similar UI libraries

Backend

• Strong experience with Python (Django)
• Experience with PostgreSQL or other relational databases
• Understanding of SOLID principles and common design patterns
• Experience with AWS and Docker

Nice to have:

• Experience with AI API Integrations

We are the Product Security team, responsible for the security, reliability, and trust of Raiffeisen Bank’s digital ecosystem.
Our mission is to embed security at every stage of the software development lifecycle and continuously strengthen the resilience of our services.

We are looking for an AI Engineer (Security) — a specialist who combines strong software engineering experience, hands-on expertise with LLMs and AI tools, and a desire to apply these skills within the cybersecurity domain.

In this role, you will design AI-driven solutions to automate security team processes, assess the security of AI systems implemented across business and IT, and help colleagues integrate AI into their daily workflows.

Your future responsibilities:

In this role, you will be responsible for designing and implementing AI solutions for security teams. You will build LLM agents, RAG systems, AI pipelines, and integrations using modern tools.

At the same time, you will implement a Shift-Left AI Security approach — embedding AI security checks early in the development lifecycle by integrating them into CI/CD pipelines and SSDLC processes. This includes:

• Analyzing AI-specific threats
• Managing Shadow AI risks
• Helping Security team to build tools for conducting security reviews of AI products before they go into production
• Defining architectural standards for AI security tooling across the organization
• Mentoring engineering teams on secure AI integration patterns and best practices
• Leading technical decision-making for AI security infrastructure choices

If you are passionate about combining artificial intelligence and cybersecurity in a complex, technology-driven financial environment — this role is for you.

Your skills and experience:

• 5+ years of software development experience
• Strong proficiency in Python and other programming languages for building automation, scripts, and integrations
• Hands-on experience with LLMs: prompt engineering, building chains/agents, working with model APIs (e.g., OpenAI, Anthropic)
• Experience with LLM frameworks
• Practical use of AI assistants in development (e.g., GitHub Copilot, Claude Code, Cursor or similar)
• Understanding of RAG architectures: vector databases, embedding models, chunking strategies
• Knowledge of OWASP Top 10 for LLM Applications
• Ability to rapidly prototype — from idea to working PoC in days, not months
• Experience influencing technical direction across multiple teams or projects
• Track record of knowledge transfer — documentation, workshops, or internal enablement

Will be a plus:

• Experience with model fine-tuning
• Knowledge of Cloud AI services: Azure OpenAI, AWS Bedrock, GCP Vertex AI
• Basic understanding of information security processes (SOC, Incident Response, AppSec, GRC)
• Familiarity with NIST AI RMF, EU AI Act, or other AI regulations
• Experience building multi-agent systems
• AI or Cloud certifications

Personal Qualities:

• Practitioner mindset — not just understanding LLMs, but having built real solutions
• Self-sufficiency — ability to take ownership from problem to solution without micromanagement
• Strong communication skills — able to explain complex topics in simple terms to non-AI teams
• Curiosity and adaptability in a fast-evolving AI landscape
• Focus on delivering measurable business value
• Ability to lead by expertise — guiding teams without formal authority

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral program with rewards for bringing in new colleagues to Raiffeisen Bank. 
• Social package: official employment, 28 days of paid leave, additional paternity leave, and financial assistance for parents with newborns. 
• Comfortable working conditions: possibility of a hybrid work format, offices equipped with shelters and generators, modern equipment. 
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist, or lawyer; discount programs for sports and purchases; family days for children and adults; in-office massages. 
• Training and development: access to over 130 online training resources; corporate training programs in CX, Data, IT security, leadership, agile, сorporate library. 
• Great team: our colleagues form a community where curiosity, talent, and innovation are welcome. We support each other, learn together, and grow. You can find like-minded individuals in over 15 professional communities, reading clubs, or sports clubs. 
• Career opportunities: we encourage advancement within the bank across functions. 
• Innovations and technologies: Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Android). Data stores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink. AI: building expertise and actively integrating into processes. 
• Support program for defenders: we maintain jobs and pay average wages to mobilized individuals. For veterans, we have a support program and develop the Bank’s veterans community. We work on increasing awareness among leaders and teams about the return of veterans to civilian life. Raiffeisen Bank has been recognized as one of the best employers for veterans by Forbes. 

Why Raiffeisen Bank? 

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter! 
• One of the largest lenders to the economy and agricultural business among private banks. 
• Recognized as the best employer by EY, Forbes, Robota.ua, Stud-Point, Delo.UA, NV, Odgers, UAFIC. 
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ). 
• One of the largest IT product teams among the country’s banks. 
• One of the largest taxpayers in Ukraine; 6 billion UAH were paid in taxes in 2025. 

Opportunities for Everyone: 

• Raif is guided by principles focused on human development and the well-being of 5,000 employees and over 2.5 million clients. 
• We uphold the principles of diversity, equity, and inclusion. 
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to meet your specific needs. 
• We collaborate with students and experienced professionals alike, creating opportunities for growth at every stage of a career 

You matter at Raif! 

Want to learn more? — Follow us on social media:

Facebook, Instagram, LinkedIn

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: We are developing Ask Seeking Alpha — a high-load financial analysis system based on Large Language Models. The architecture is built on complex multi-agent orchestration using LangGraph, FastAPI, and Elasticsearch.

We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.

The Senior Python AI Engineer will be engaged with the company as a contractor (Private Entrepreneur).

Tech Stack: Python (Asyncio), FastAPI, LangChain, LangGraph, Pydantic, Elasticsearch, AWS Bedrock / OpenAI API, LangSmith.

What You'll Do

• Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
• Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
• Performance Optimization:

-Reduce end-to-end latency through asynchronous processing and streaming (SSE).

-Implement semantic caching strategies to minimize API costs and response time.

-Optimize token usage without sacrificing answer quality.

• Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
• Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.

Requirements

• Python Expert: Strong proficiency in modern Python. Deep understanding of asynchronous programming (asyncio) patterns is mandatory, as our entire I/O pipeline (Network, DB, LLM) is non-blocking. Experience with FastAPI and Pydantic (v2).
• Agentic Frameworks: Production experience with LangChain. Hands-on experience or deep conceptual understanding of LangGraph (or similar state-machine-based agent frameworks).

Deep LLM Expertise (What we mean by "Deep"):

• Non-determinism Management: Strategies for handling LLM hallucinations and ensuring reliable outputs (e.g., self-correction loops, specific prompting techniques like CoT/ReAct).
• Structured Outputs: Experience forcing LLMs to adhere to strict schemas (Pydantic/JSON mode) for reliable downstream processing.
• Context Optimization: Advanced strategies for managing limited context windows (summarization chains, sliding windows, selective context injection) beyond simple truncation.
• Inference Economics: Understanding the trade-offs between model size, latency, and cost (e.g., when to route to GPT-4 vs. a smaller/faster model).

Nice to Have

• Experience with Elasticsearch (DSL queries, analyzers).
• Knowledge of vector databases and embedding models.
• Background in FinTech or familiarity with financial data structures.

About the Role:

We are seeking a motivated Junior Verification Engineer to join our VLSI design and verification team.

This is an excellent opportunity for new graduates with strong academic training in digital design, verification methodologies, and SystemVerilog/UVM.

Responsibilities:

Develop and execute verification testbenches using Verilog/SystemVerilog and UVM

Implement functional and constrained-random tests for block-level and SoC-level designs

Create coverage models (functional, code, assertion-based) and drive coverage closure

Debug simulation failures, interface mismatches, and RTL issues

Write and maintain scoreboards, monitors, agents, drivers, and checkers in UVM

Review design specifications, extract test requirements, and build verification plans

Run regressions, triage failures, and document results

Collaborate closely with RTL designers, DFT, backend, and system architects

Required Qualifications:

B.Sc. or M.Sc. in Electrical/Computer Engineering or related field

Strong academic background in digital logic, computer architecture, and VLSI design

Hands-on experience with Verilog and SystemVerilog (labs, projects, internship)

Basic understanding of UVM methodology

Familiarity with simulation tools (VCS, QuestaSim, Xcelium or similar)

Ability to read and understand RTL code

Good analytical and debugging skills

Strong motivation to grow in advanced functional verification

Nice-to-Have Skills:

Coursework or project experience with UVM testbench development

Familiarity with assertion-based verification (SVA)

Basic scripting (Python, Perl, Shell, TCL)

Experience with coverage-driven verification

Exposure to SoC-level interfaces (AXI, PCIe, DDR, Ethernet, SPI, I2C)

What We Offer:

Full training in modern verification methodologies (UVM, SVA, CRV)

Work with cutting-edge IPs and SoC architectures

Mentorship from senior verification and architecture teams

Clear growth path toward UVM specialist, verification lead, or architect

We are looking for highly motivated junior engineers to join our Design-for-Test (DFT) team.

This is an excellent opportunity for graduates who want to build expertise in Scan, Memory BIST, and JTAG within advanced VLSI development.

Responsibilities:

Learn and support implementation of scan insertion and scan chain architecture

Assist in ATPG pattern generation and test coverage analysis

Participate in Memory BIST (MBIST) integration and verification

Work with JTAG / IEEE 1149.1 boundary scan concepts and flows

Help debug test-related issues at RTL and gate level

Collaborate with senior DFT engineers on SoC-level test strategy

Required Background:

Academic knowledge in digital logic, VLSI design, and computer architecture

Basic familiarity with DFT concepts: scan, ATPG, BIST, boundary scan

Understanding of Verilog or VHDL

Scripting basics (Python, TCL, Shell)

Good analytical and problem-solving skills

Strong motivation to learn industry-standard DFT tools and flows

What We Offer:

Full training in Scan, MBIST, JTAG, ATPG, and DFT methodologies

Mentorship by experienced DFT engineers

Exposure to advanced SoC development flows and signoff

Growth path toward senior DFT, test architecture, or silicon bring-up roles

Senior Python Developer для AI-агентів, LLM systems та agentic workflows.

🚀 Про Workeron.ai

Workeron.ai — AI startup, який створює AI агентів та digital employees для автоматизації реальних бізнес-процесів.

Ми не робимо черговий wrapper над ChatGPT.

Наша ціль — створювати AI-системи, які можуть виконувати реальні задачі всередині компаній та забирати рутину з команд.

Ми працюємо в режимі швидкої перевірки гіпотез:

24 ideas → 6 strong products → 1 scalable winner

Ми цінуємо:

• швидкість
• execution
• ownership

• product thinking

   

⚙️ Engineering Approach

Усі продукти розробляються у shared monorepo на базі:

• uv workspaces

• Turborepo

   

Наш підхід:

• modular monolith
• reusable components
• strict module boundaries
• можливість швидко перейти до microservices після PMF

Наша задача — рухатись швидко без технічного хаосу.

🌍 Формат роботи

• Fully remote
• International AI-focused environment

• Пряма співпраця з founders та Product Owners

   

💰 Compensation

• $4,000–6,000/month

   

💡 Про роль

Шукаємо сильного Senior Python Developer з реальним hands-on досвідом роботи з AI/LLM продуктами та agentic systems.

Ви будете працювати над AI агентами, multi-agent workflows, orchestration systems та швидкою розробкою MVP → production systems.

Ця роль підійде людині, якій подобається:

• швидко будувати продукти
• працювати з неоднозначними задачами
• поєднувати backend engineering та applied AI

• мати прямий вплив на продукт

   

🛠 Що потрібно буде робити

• Розробляти AI агентів та multi-agent workflows
• Будувати agent graphs з використанням LangGraph
• Створювати MVP та production-ready AI systems
• Інтегрувати LLM APIs, external tools та vector databases
• Проєктувати backend architecture на FastAPI + PostgreSQL
• Працювати з async workflows та orchestration systems
• Покращувати reliability та scalability AI systems

• Швидко перетворювати product ideas у working systems

   

✅ Requirements

• Strong Senior-level Python/backend experience
• Відмінне знання FastAPI та PostgreSQL
• Досвід створення AI/LLM продуктів
• Hands-on experience з LangGraph та agentic systems
• Розуміння modular architecture
• Вміння рухатись швидко без overengineering
• Високий рівень ownership

• English — Upper-Intermediate або вище

   

➕ Nice to Have

• React / Next.js
• Temporal
• Qdrant або pgvector
• LiteLLM, Traceloop, Ragas
• Product thinking

• Startup experience

   

🧰 Stack

Python · FastAPI · PostgreSQL · LangGraph · LLM APIs · Qdrant · pgvector · Docker · Turborepo · uv · Temporal

💎 Ми пропонуємо

• Fully remote
• Мінімум бюрократії
• Швидкий процес прийняття рішень
• Сильну AI-focused engineering environment
• Прямий вплив на продукт та архітектуру

• Можливість будувати AI systems від MVP до scale

   

📩 Як податись

Надсилайте:

• Актуальне CV англійською
• Ваш AI / LLM / LangGraph experience
• Telegram link

Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward.

Why join us

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :)

About the role

We are looking for a Senior Backend Engineer to architect and build the core systems of a next-generation AdTech platform that embeds products directly into visual experiences. You will design high-throughput, low-latency services for campaign delivery, targeting, attribution, and partner integrations using Python, Django, Kubernetes, and AWS. This is an early-stage initiative where senior engineers define the technical direction and system architecture from the ground up. 

What you will do

• Architect, build, and evolve core systems for the Ads platform;
• Design APIs and services supporting campaign management, targeting, delivery, attribution, and reporting;
• Build and optimize high-throughput, low-latency systems processing large volumes of events and data;
• Own critical systems end-to-end, including design, implementation, deployment, monitoring, and ongoing improvements;
• Drive architectural decisions and establish patterns that support scalability, reliability, and developer productivity;
• Collaborate closely with product, data, and partner teams to translate business requirements into robust technical solutions;
• Provide technical leadership through design reviews, system discussions, and mentoring other engineers;
• Contribute to engineering best practices, documentation, and long-term platform vision;
• Participate in hiring and help grow a strong, high-performing team.

Must haves

• 5 years of software development experience building scalable systems (backend programming languages/frameworks, e.g. Java, .NET, Python, Node.js etc);
• Experience with AdTech (This may include experience with DSPs, SSPs, ad exchanges, affiliate programs, Prebid.js, Prebid Server, Google Ad Manager, Amazon UAM/TAM, OpenRTB, identity and addressability solutions, as well as ad operations workflows);
• Deep understanding of computer science fundamentals (algorithms, data structures, networking, databases);
• Proven experience designing and scaling distributed systems focusing on performance, observability, and fault tolerance;
• Strong architectural instincts and the ability to make high-leverage technical decisions that impact multiple teams and systems;
• Demonstrated ability to influence and mentor senior engineers, guide teams through ambiguity, and elevate engineering practices across the board;
• Exceptional ownership mindset — you drive initiatives forward, raise the bar, and deliver lasting impact;
• Excellent communication and cross-functional collaboration skills;
• Availability to work till 1pm EST (till 8 pm Kyiv time);
• Comfortable operating in a fast-paced, high-autonomy, product-driven environment;
• Experience with e-commerce and catalog management is preferred;
• Familiarity with Python, Django, Kubernetes, PostgreSQL, and AWS is strongly preferred, but deep expertise in analogous systems and a willingness to learn are welcome;
• Upper-intermediate English level.

Nice to haves

• Strong experience with complex ETL flows and high-throughput systems is highly preferred.

   

The benefits of joining us
 

• Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
 

• Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

• A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
 

• Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
 

Meet Our Recruitment Process

Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:

• Short online form to confirm basic requirements
• 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process.
• 5-minute introduction video

Synchronous stage – Live interviews

• Technical interview with our engineering team (scheduled at your convenience)
• Final interview with your future teammates

If it’s a match — you’ll get an offer!

MINT is the leader in Advertising Resource Management (ARM) software, driving marketing transformation in the age of agentic AI. At the core of our innovation is an open enterprise platform that deploys autonomous AI agents to augment human teams across the marketing and advertising value chain, connecting marketing performance with enterprise growth and real business impact.

Thanks to a diverse team of over 300 professionals worldwide, we integrate technology, data, and agentic intelligence to redefine how global brands and agencies plan, execute, and optimize their advertising investments.

With the recent acquisitions of technology leaders Redmill Solutions and info³, MINT has further expanded its unified ecosystem, completing the long-awaited connection of media planning, buying, and execution within one intelligent environment.

Augmenting Advertising Intelligence. For more information, visit mint.ai.

The Role

We are looking for a skilled API Developer to collaborate with us on a consultancy basis.

In this role, you will craft and maintain the backbone of software interactions.

This is a consultancy engagement, not an employment contract. The selected consultant will work independently, bringing their specialized knowledge and experience to our projects.

Responsibilities

• Development of components and applications in Python / FastAPI / Django;
• Maintenance of existing applications;
• Tasks estimation;
• Writing unit tests;
• Writing technical documentation and reports;

This role will be a great fit if you have:

• 3+ years of experience with Python;
• Experience with Django;
• Experience with FastAPI;
• Experience with AsyncIO;
• Experience with Celery;
• Knowledge of Kafka;
• Knowledge of SQL and NoSQL databases;
• Knowledge of Docker;
• Understanding of the HTTP protocol and RESTful APIs;
• Command of Linux/UNIX environment (shell, scripting, tools);
• Passione for Testing (Unit and Integration Testing);
• Good English proficiency

Ideally, you'll also have:

• Experience with the DDD approach and Hexagonal Architecture;
• Experience with microservices;
• Experience with integrating third-party services;
• Knowledge of Go/Scala/JS

Interview Process

Candidates can expect the following steps in our interview process:

• HR Video Interview (30 minutes): A virtual interview with HR to provide an overview of the company and the role, as well as to gain insight into your experience and background.
• Technical Interview with Tech team (1 hour): A virtual interview with the API Developer Team Lead and/or other Team members, focused on your technical expertise, past experience, and problem-solving approach.
• Offer: after completing the interview process, successful candidates will receive an offer.

Typical base salary pay range:

MINT is committed to a diverse and inclusive workplace. MINT AI is an equal opportunity employer and does not discriminate on the basis of age, race, religion, color, national origin, gender, gender identity, gender expression, sexual orientation, immigration status, medical condition, protected veteran status, disability, genetic information, political views or activity, or other legally protected status.

About the role

We're looking for a software engineer with leadership experience to lead a small team building a product management ecosystem in the defense sector. This is not a purely managerial role — the lead continues writing code and contributing to development while coordinating the team, defining priorities, and owning delivery quality.

Responsibilities

• Develop and maintain internal deployment and product management tooling
• Build and maintain CI/CD pipelines (GitHub Actions)
• Own Docker-based build and deployment workflows
• Code reviews and technical quality across the team
• Team planning, backlog prioritization, cross-team sync
• Onboarding and mentoring team members

Requirements

• Strong Python: async, threads, concurrent programming
• Experience with Python web frameworks (FastAPI preferred)
• Deep understanding of Docker and containerization
• Linux: systemd, journald, containers, confident CLI usage
• Networking: HTTP(S), SSH, WebSocket
• Strong understanding of client-server architecture and API design
• Databases and ACID fundamentals
• Cloud or on-premise infrastructure experience

• English for technical communication

   

   

  Nice to Have

• Bare-metal / Raspberry Pi / embedded Linux (firmware flashing, secure boot)
• Information security fundamentals
• Python deployment optimization
• Experience with ArduPilot or other autopilot stacks

• Prior tech lead or mentoring experience

   

   

  What we expect from the lead

• Structured approach to planning — not purely ad hoc
• Clear cross-team communication: status, blockers, priorities
• Autonomy in technical decisions within the team's scope
• Readiness to grow ownership as the company scales

Role Overview

We are seeking an experienced Senior Bentley BIM Engineer to serve as a key technical leader in delivering complex infrastructure BIM models. This role involves leading multidisciplinary 3D delivery, integrating complex datasets, and ensuring high-quality, standards-compliant outputs across large-scale projects.

Key Responsibilities

Lead 3D Delivery
Develop, federate, and deliver multidisciplinary models (roads, rail, utilities) using OpenRoads Designer, OpenBuildings Designer, MicroStation, and Civil 3D.

Integrate Complex Data
Combine reality capture data (LiDAR, drone surveys, ContextCapture), surveyed topography, and Subsurface Utility Engineering (SUE) datasets into coordinated, clash-free models.

Drive Geospatial Accuracy
Manage coordinate systems, terrain surfaces, and utility quality levels (QL D–A) to ensure high-fidelity, construction-ready models.

Ensure Quality & Compliance
Act as the technical authority for QA/QC, clash detection, and compliance with ISO 19650. Ensure proper metadata integration and alignment with client BIM Execution Plans and delivery standards.

Mentor & Innovate
Guide and support junior modelers globally, enhance BIM workflows, and contribute to digital twin readiness within the Bentley Systems ecosystem.

Requirements

Experience

• 10+ years in infrastructure BIM modeling
• 6+ years leading large-scale civil, rail, or utility projects

Bentley Expertise

• Advanced, hands-on experience with:
  • OpenRoads Designer
  • OpenBuildings Designer
  • MicroStation CONNECT Edition
  • iTwin Platform

Data & Collaboration

• Strong experience with ProjectWise
• Proven ability to produce and manage federated 3D models

Technical Knowledge

• Solid understanding of surveying, SUE workflows, and mapping standards
• Strong ability to interpret construction documents and shop drawings

Client & Standards Integration

• Experience defining asset data exchange requirements with clients
• Ability to integrate metadata and adapt models to client-specific standards
• Experience working with coordinate systems, grids, workspaces, worksets, and seed file standards

Nice-to-Have Skills

Workflow Optimization & Automation

• Strong Excel and Bluebeam Revu skills
• Experience with Python scripting or Bentley SDK

Cross-Platform Coordination

• Familiarity with Autodesk Construction Cloud (ACC)
• Experience with Revit, Navisworks
• Knowledge of ArcGIS Pro

Advanced Bentley Tools

• OpenRail, OpenUtilities Designer, OpenGround
• Generative Design workflows

Data & Reality Capture

• Photogrammetry and metadata management
• Automation and scripting experience

We work with startups and established companies to create products in healthcare, fintech, eCommerce, and AI. This role offers real variety — new domains, evolving challenges, and steady professional growth instead of being locked into a single legacy system.

If you’re motivated by fast learning and building features that go live, this might be the right place for you.

What You'll Do

• Build and ship features - from small tasks to full modules as you grow
• Write clean code and learn best practices through code reviews
• Work alongside experienced engineers who'll help you level up
• Learn how production apps are built and scaled
• See different products and industries - faster learning curve

What We Work With

⚡ Python, FastAPI, Django, Pydantic, PostgreSQL, uv, Ruff

Gets You Extra Points

• Familiar with SQLModel, Alembic
• Used AI coding tools (Cursor, Claude Code, Copilot)
• Hands-on experience with any LLM integration
• Basic prompt engineering skills

What You Bring

• Solid understanding of Python
• Understanding of REST APIs
• Basic experience with SQL databases
• English: Intermediate+
• Willingness to learn and take feedback

What You Get

Work & Growth:

• Fully remote, flexible hours
• Structured code reviews
• Senior engineers who help you level up
• English practice sessions

Compensation:

• Salary in USD
• Performance reviews twice a year
• 15 days paid vacation + sick leave

🚀 Ready to level up? Apply now.

Company Description

Are you a seasoned engineer passionate about building scalable, high-performance systems? This Senior-level role offers the opportunity to work remotely with talented teams across Europe, Ukraine, and LATAM.

At Sigma Software, we deliver cutting-edge solutions for global customers, combining technical excellence with a service-minded approach. In this role, you will join a distributed team to architect and evolve an advanced Ads platform, contributing to both innovation and stability.

Why join us? You will work on complex, high-impact systems, collaborate with international experts, and enjoy the freedom to shape architecture and technical patterns that drive long-term success.

CUSTOMER

We partner with a leading company in the AdTech space, delivering high-performance, scalable solutions that empower advertisers to manage campaigns, optimize targeting, and analyze results in real time. The Customer values innovation, reliability, and long-term collaboration, and operates globally with distributed teams in Europe, LATAM, and other regions.

PROJECT

The project focuses on building and evolving core systems for an advanced Ads platform integrated into a product for the interior decor industry. This product enables users to preview and visualize home items before purchase, enhancing shopping experiences both online and in-store.

Job Description

• Design, develop, and maintain APIs and services supporting ad campaign management, targeting, delivery, attribution, and reporting
• Architect scalable, reliable, and high-performance distributed systems
• Optimize systems for high-throughput and low-latency event/data processing
• Drive architectural decisions and establish development patterns
• Collaborate with distributed teams to ensure seamless integration and delivery
• Mentor and guide other engineers, fostering technical excellence

• Ensure code quality, maintainability, and alignment with long-term product goals

   

Qualifications

• At least 5 years of commercial experience in building scalable, high-performance systems
• Hands-on experience with AdTech solutions such as DSP, SSP, ad exchange, prebid, Google Ad Manager, or openRTB
• Strong proficiency in Python, preferably with the Django framework
• Solid knowledge of computer science fundamentals, including data structures, algorithms, and distributed systems
• Good understanding of distributed system architecture with a focus on data availability, reliability, and performance
• Practical experience with Kubernetes, PostgreSQL, and AWS

• Upper-Intermediate level of English

   

WILL BE A PLUS

• Experience with dbt and Redshift

• Familiarity with interior decor industry solutions

   

Additional Information

PERSONAL PROFILE

• Attention to detail and quality
• Excellent communication skills
• Leadership mindset, proactiveness

Who we are

Adaptiq is a technology hub that helps fast-growing product companies build, scale, and support strong R&D teams across different industries.
 

About the Product

We are developing an AI-first maritime intelligence platform that combines multiple global maritime data sources into one operational view. The product creates a digital twin of worldwide maritime activity and uses behavioral analytics, predictive AI models, and advanced data processing to detect risks such as smuggling, illegal fishing, container threats, and other compliance or security issues.

The platform is used by commercial, regulatory, and government customers, operating at global scale and processing millions of events along with terabytes of geospatial data every day. It is built on cloud infrastructure, microservices, and close integration with research and data science prototypes.
 

About the Role

As a Senior Backend Python Engineer, you will join an autonomous team focused on building and scaling agentic, AI-first workflows within a production-grade maritime intelligence platform.

You will be responsible for designing, delivering, and operating backend services that support generative AI agents at scale. The role involves influencing architecture, improving AI-SDLC practices, and helping shape agent-based automation used in real-world defense, regulatory, and enterprise scenarios.
 

Key Responsibilities

• Design and develop scalable Python-based microservices for agentic workflows, data pipelines, and distributed systems.
• Contribute to frontend development with React when needed.
• Integrate generative AI capabilities into production systems, including LLM APIs, RAG pipelines, and autonomous agents.
• Build operational practices and observability for AI components, including monitoring for model drift, hallucinations, and performance metrics.
• Implement and improve AI-SDLC standards, including code reviews, automated testing, CI/CD pipelines, and trace-based quality evaluation.
• Design and maintain infrastructure as code using Terraform, Kubernetes, and AWS services.
• Improve engineering velocity and product quality through automation, tooling, and architecture improvements.
• Mentor engineers on AI frameworks, developer tools, and best practices for high-scale agentic development.
• Work closely with product and research teams to turn user needs into reliable, secure, and scalable backend services.
   

Required Skills and Experience

• 7+ years of professional backend engineering experience.
• At least 2 years of experience building agentic or autonomous AI workflows in production.
• Strong hands-on experience with Python.
• Practical experience with agentic frameworks such as LangChain, LangGraph, DeepAgents, CrewAI, OpenClaw, Hermes, or similar.
• Proven experience designing scalable, event-driven architectures on AWS.
• Experience with messaging systems such as SQS/SNS and SQL/NoSQL databases.
• Strong understanding of GraphQL or REST API design.
• Solid DevOps background, including CI/CD, Kubernetes, and Terraform.
• Experience with production-grade security, monitoring, and incident response for mission-critical systems.
• Strong communication skills, autonomy, ownership, and ability to work in fast-paced, ambiguous environments.
   

Nice to Have

• Experience with React.js or full-stack development.
• Familiarity with vector databases and similarity search for AI applications.
   

Why Us

• 20 vacation days per calendar year, plus official national holidays in the country where you are based.
• Full accounting and legal support in all countries where we operate.
• Fully remote work model.
• Powerful workstation provided.
• Co-working space support if needed.
• Competitive compensation package with annual performance and salary reviews.