Jobs Python

Job description

About DualEntry

Founded in 2024, DualEntry is one of the world’s fastest-growing AI startups.

At DualEntry, the future of finance is being written today. ERP is one of the largest fintech markets in the world ($220,000,000,000+). Yet, tens of thousands of companies are still using on-premise systems, and the industry has not seen new entrants in more than 30 years.

Our AI-native ERP lets accounting teams achieve more in less time. $5M-ARR businesses to NYSE-listed companies trust DualEntry to automate away manual data entry work with AI. We’re finally making the one-person finance team a reality and putting the pain of legacy ERPs from the 1990’s in the past.

We operate with urgency and ownership. We move fast.

Why This Role Matters Now

Since starting 18 months ago, we’ve raised $100,000,0000+ from world-class investors such as Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures and Google Ventures, as well as more than 20 angel investors who’ve built, scaled, and exited some of the most impactful companies of the last decade.

We got there by moving incredibly fast and hiring an exceptionally sharp, hard-working and deeply committed team from leading tech and accounting companies — Ramp, Meta, Microsoft, Lyft, PwC, Deloitte, J.P. Morgan, Bloomberg, Sage, Xero and Intuit. And some of us don't have a fancy logo on our resume and are here for a shot to prove ourselves.

We’re a small team, growing fast with huge momentum - join early.

This is an intense, hands-on role with full ownership. We expect you to push for excellence and raise the bar.

📍 Location: Remote - this role is available across all countries with 4hr+ overlap for the US ET timezone (NYC HQ)

Where you'll create impact

• You’ll own end-to-end execution for backend systems and infrastructure
• You’ll build APIs, services, and real-time systems handling complex accounting logic
• You’ll collaborate with founders, product, and frontend engineering to turn complex workflows into secure, performant systems
• You’ll design, implement, and ship production-ready features at high speed
• You’ll manage data migrations, scaling challenges, external integrations, and end-to-end reliability
• You’ll drive measurable outcomes that accelerate DualEntry’s product velocity and stability

What sets you up for success

• Hardcore work ethic and high agency
• 8+ years of experience in backend engineering
• Proven track record in high-growth, high-ownership environments
• Strong skills in PostgreSQL, SQL, ORMs, migrations, and schema design
• Experience with AWS or comparable cloud infrastructure
• Strong API design and testing experience
• Understanding of CI/CD, deployment, and production readiness
• Bonus: expertise in Python and modern frameworks (FastAPI, Flask, or Django)
• Ability to manage complex systems with evolving requirements
• Fluent English (C1+) with clear communication

How You Operate

• Pragmatic: you like to move forward and make decisions based in reality (not theory). We don't debate if Cassandra has the most theoretical scalability -- we use Postgres until it breaks
• Hard working: 'You can work long, hard, or smart, but [here] you can't choose two out of three" - Jeff Bezos. We wrote this job post during the weekend
• Curious: you love to learn, are highly curious about new frameworks and solutions to engineering problems
• Fast-moving: you deploy daily, iterate quickly, and never wait for permission

Why you’ll thrive here

• Significant equity ownership in one of the top AI companies in the world
• You’re joining early and will grow with DualEntry
• Your feedback shapes the product directly
• High-speed culture
• High-trust environment with high expectations
• Ambitious mission - ERP is one of the largest B2B software markets in the world ($220bn per year), this is a once in a lifetime opportunity to build the next generation ERP in an industry that has not seen new entrants in 30+ years

Benefits & Perks

• Base Salary: $100,000 – $175,000 USD
• Equity: $75,000+ USD
• Contract type: B2B
• Remote-first team - the fastest team you will have ever worked with
• Time Off: 15 PTO days + 12 public holidays
• Visa sponsorship option for relocation to NYC within 2+ years
• Early-stage role with high autonomy and real long-term upside
• Enjoy a learning & development budget for courses, certifications, and language learning to keep growing your skills.
• Work where you feel most productive at co-working spaces or from your home office with support for setup, internet, and phone.
• Plus, wellness perks and more to make your workday even better!

We hire the best, expect the best, and give you the masterclass of your career - an archaic and huge industry like ERP only goes through a restructure like this once in a lifetime. It’s hard, it’s intense, and it’s the most rewarding work you’ll ever do.

If you’re hungry, driven, and ready to build something massive, climb aboard!

At DualEntry, we believe great products come from diverse teams. We’re an equal opportunity employer, and we’re committed to a culture where everyone feels included, supported, and able to do their best work.

Job description

About DualEntry

Founded in 2024, DualEntry is one of the world’s fastest-growing AI startups.

At DualEntry, the future of finance is being written today. ERP is one of the largest fintech markets in the world ($220,000,000,000+). Yet, tens of thousands of companies are still using on-premise systems, and the industry has not seen new entrants in more than 30 years.

Our AI-native ERP lets accounting teams achieve more in less time. $5M-ARR businesses to NYSE-listed companies trust DualEntry to automate away manual data entry work with AI. We’re finally making the one-person finance team a reality and putting the pain of legacy ERPs from the 1990’s in the past.

We operate with urgency and ownership. We move fast.

Why This Role Matters Now

Since starting 18 months ago, we’ve raised $100,000,0000+ from world-class investors such as Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures and Google Ventures, as well as more than 20 angel investors who’ve built, scaled, and exited some of the most impactful companies of the last decade.

We got there by moving incredibly fast and hiring an exceptionally sharp, hard-working and deeply committed team from leading tech and accounting companies — Ramp, Meta, Microsoft, Lyft, PwC, Deloitte, J.P. Morgan, Bloomberg, Sage, Xero and Intuit. And some of us don't have a fancy logo on our resume and are here for a shot to prove ourselves.

We’re a small team, growing fast with huge momentum - join early.

This is an intense, hands-on role with full ownership. We expect you to push for excellence and raise the bar.

As our Backend Engineer, you’ll build and own critical features end-to-end, increasing product velocity and powering DualEntry’s AI-native ERP. This is an intense, hands-on role with full ownership.

📍 Location: Remote - this role is available across all EU/LATAM countries with overlap for the US ET timezone (NYC HQ)

Where you'll create impact

• You’ll own end-to-end execution for backend systems and infrastructure
• You’ll build APIs, services, and real-time systems handling complex accounting logic
• You’ll collaborate with founders, product, and frontend engineering to turn complex workflows into secure, performant systems
• You’ll design, implement, and ship production-ready features at high speed
• You’ll manage data migrations, scaling challenges, external integrations, and end-to-end reliability
• You’ll drive measurable outcomes that accelerate DualEntry’s product velocity and stability

What sets you up for success

• Hardcore work ethic and high agency
• 5+ years of experience in backend engineering
• Proven track record in high-growth, high-ownership environments
• Strong skills in PostgreSQL, SQL, ORMs, migrations, and schema design
• Experience with AWS or comparable cloud infrastructure
• Strong API design and testing experience
• Understanding of CI/CD, deployment, and production readiness
• Bonus: expertise in Python and modern frameworks (FastAPI, Flask, or Django)
• Ability to manage complex systems with evolving requirements
• Fluent English (C1+) with clear communication

How You Operate

• Pragmatic: you like to move forward and make decisions based in reality (not theory). We don't debate if Cassandra has the most theoretical scalability -- we use Postgres until it breaks
• Hard working: 'You can work long, hard, or smart, but [here] you can't choose two out of three" - Jeff Bezos. We wrote this job post during the weekend
• Curious: you love to learn, are highly curious about new frameworks and solutions to engineering problems
• Fast-moving: you deploy daily, iterate quickly, and never wait for permission

Why you’ll thrive here

• Significant equity ownership in one of the top AI companies in the world
• You’re joining early and will grow with DualEntry
• Your feedback shapes the product directly
• High-speed culture
• High-trust environment with high expectations
• Ambitious mission - ERP is one of the largest B2B software markets in the world ($220bn per year), this is a once in a lifetime opportunity to build the next generation ERP in an industry that has not seen new entrants in 30+ years

Benefits & Perks

• Base Salary: $65,000 – $135,000 USD
• Equity: $50,000+ USD
• Contract type: B2B
• Remote-first team - the fastest team you will have ever worked with
• Time Off: 15 PTO days + 12 public holidays
• Visa sponsorship option for relocation to NYC within 2+ years
• Early-stage role with high autonomy and real long-term upside
• Enjoy a learning & development budget for courses, certifications, and language learning to keep growing your skills.
• Work where you feel most productive at co-working spaces or from your home office with support for setup, internet, and phone.
• Plus, wellness perks and more to make your workday even better!

We hire the best, expect the best, and give you the masterclass of your career - an archaic and huge industry like ERP only goes through a restructure like this once in a lifetime. It’s hard, it’s intense, and it’s the most rewarding work you’ll ever do.

If you’re hungry, driven, and ready to build something massive, climb aboard!

At DualEntry, we believe great products come from diverse teams. We’re an equal opportunity employer, and we’re committed to a culture where everyone feels included, supported, and able to do their best work.

We are looking for an experienced Python Developer with deep learning frameworks, particularly TensorFlow.

Key Requirements:

• 6+ years of Python development in production environments, with demonstrated experience building scalable, distributed systems
• 4+ years hands-on experience with TensorFlow and/or PyTorch for training and deploying ML models at scale
• 4+ years of experience in 3D modeling and geometry processing - including mesh repair, UV mapping, spatial normalization, and working with formats such as GLB, GLTF, OBJ, or USDZ
• Solid understanding of data structures, algorithms, and multithreaded/async processing in the context of ML inference pipelines
• Upper-Intermediate English or higher (spoken and written)

Nice to Have:

• Familiarity with CUDA/GPU-accelerated computing
• Experience with computer vision pipelines - background removal, image segmentation, pose estimation
• Knowledge of distributed architectures — message queues (RabbitMQ), object storage (AWS S3), Docker/container orchestration
• Experience with image-to-3D / vision transformer models
• Familiarity with 3D libraries: Open3D, Trimesh

We offer:

• Maximum flexibility
• Professional trainings, conferences and certifications
• Corporate events and benefits
• Professional literature
• English courses.

We’re hiring a Python backend engineer to build and evolve a backend that supports product automation, third-party integrations, and scalable workflows. You’ll own API development, data reliability, async processing, and production stability in a remote-first team.

Must-have skills

• 3+ years building Python backend services used in real production systems
• Strong Python foundations: readable maintainable code, debugging skills, and performance awareness (incl. typing where applicable)
• Hands-on experience building web APIs with a modern framework (e.g., FastAPI) and structuring clean, maintainable endpoints
• Solid grasp of common API standards: auth basics, validation, pagination, versioning, and consistent error responses
• Strong database background (PostgreSQL preferred): schema design, migrations, indexing, query tuning, and transaction fundamentals
• Experience with async/background execution (workers, scheduled jobs) and safe retry strategies
• Testing practice with pytest (or similar): unit + integration tests, mocks, fixtures/test data approach
• Familiarity with production practices: logging, basic monitoring, config management, and secure secrets handling
• Ability to investigate and fix production issues, including root-cause analysis
• Comfortable working independently in a remote setup with proactive, clear communication

What you’ll do

• Deliver backend functionality that powers product workflows, APIs, internal services, and automation components
• Build and maintain well-structured REST APIs and internal interfaces with strong validation, documentation, and robust error handling
• Connect to external tools (e.g., CRM/support/messaging systems) via reliable adapters with retries and safe failure behavior
• Implement asynchronous workflows for long-running tasks using queues/schedulers and resilient execution patterns
• Evolve data models and persistence: schema updates, migrations, performance improvements, and consistency guarantees
• Strengthen reliability and observability: structured logs, metrics/tracing, alerts, and practical runbooks
• Debug incidents in production, perform RCA, and ship fixes with low regression risk
• Maintain automated tests and support QA with clear scenarios and reproducible steps
• Participate in code reviews, help set backend engineering standards, and keep documentation current

Nice to have

• Experience integrating LLM/GenAI services (OpenAI-compatible APIs), prompt/tool orchestration, and safety guardrails
• Exposure to RAG concepts (embeddings/vector search, chunking, retrieval evaluation)
• Experience designing reusable integration connectors
• Familiarity with event-driven patterns and messaging systems (Kafka/RabbitMQ/NATS)
• Docker/Kubernetes experience (runtime constraints, deployments, observability)
• Performance optimization experience: profiling, caching (Redis), and async I/O tuning
• Background in B2B SaaS / enterprise systems where reliability/compliance expectations are higher

We are seeking a Senior Automation & Verification Engineer with expertise in networking and open source to join our team. The role focuses on ensuring seamless integration between access points and switches, the cloud-based management plane, and an AWS-backed backend infrastructure. Your primary responsibility is to design and automate the end-to-end Cloud-to-Ground validation process.

At PLVision, you will work on a stable, long-term project where deep technical expertise is valued. The role provides an opportunity to apply your experience, influence complex system architecture, and focus on solving challenging engineering problems in an environment that supports professional growth and confidence in the future.

RESPONSIBILITIES

✅ Framework Development: Design, build, and maintain Python-based automated test frameworks to validate Cloud-to-Access Point (AP) communication via vendor-provided Cloud SDKs
✅ End-to-End Verification: Develop and execute end-to-end and stress test scenarios for Zero-Touch Provisioning (ZTP) and cloud-hosted firmware management pipelines
✅ Protocol Testing: Conduct deep packet inspection and traffic analysis using tools such as Wireshark to validate IEEE 802.11ax (Wi-Fi 6) functionality, WPA3 security mechanisms, and roaming protocols (802.11r/k/v)
✅ CI/CD Integration: Integrate automated hardware-in-the-loop (HiL) test suites into CI/CD pipelines to ensure continuous validation of cloud updates against field-deployed hardware
✅ Performance Benchmarking: Measure and analyze system performance metrics, including latency, throughput, and Northbound API responsiveness, to ensure carrier-grade reliability

REQUIREMENTS
1. Networking & Open Source
— Deep understanding of disaggregated networking architectures, including separation of the Control Plane (Cloud) and the Data Plane (Hardware)
— Strong expertise in Wi-Fi protocols (IEEE 802.11 a/b/g/n/ac/ax) and RADIUS/Enterprise authentication
— Hands-on experience testing large-scale Wireless LAN (WLAN) deployments

2. Cloud & Automation
— Strong Python automation skills, including experience with PyTest and Scapy, as well as Infrastructure as Code tools such as Terraform and/or Ansible.
— Proven experience with API-driven network automation, including testing RESTful Northbound Interfaces (NBI) and WebSocket-based device connections

3. Verification Experience
— Practical experience with Hardware-in-the-Loop (HiL) testing, including automated management of physical Access Points and network switches
— Solid understanding of Linux networking fundamentals, including network namespaces, bridge-utils, and hostapd.
 

BENEFITS

📌 Medical insurance
📌 Paid vacation and sick leave days
📌 Paid bank holidays
📌 Relocation bonus
📌 Marriage and childbirth bonuses
📌 Referral bonus
📌 Educational courses and training programs
📌 Remote work
📌 Flexible schedule

ABOUT PLVISION

As a European leader in open, disaggregated technologies, PLVision delivers custom vendor-agnostic software networking solutions, giving you full control, lower costs, and future‑ready scalability. We offer complete solutions, from A to Z. No matter who you are — a startup or an enterprise — we will become your magic wand.

We’re hiring a Middle Python Developer to build production-grade Generative AI and agentic workflows for international client projects. You’ll work with modern LLM tooling and cloud infrastructure to ship reliable AI features end-to-end.

What you’ll do

• Build and support Python services focused on Generative AI and agentic/graph-based workflows
• Implement agent orchestration (e.g., LangGraph), tool-calling, memory, routing, and multi-step automation
• Integrate LLMs from major providers and connect them to external APIs and business systems
• Work with vector databases / embeddings to power retrieval and context-aware experiences
• Collaborate with engineers and stakeholders to deliver robust, maintainable solutions
• Improve quality via testing, automation, monitoring, and CI/CD pipelines
• Debug performance/cost bottlenecks (latency, token usage, throughput) and raise reliability standards

Must-have skills

• Solid commercial Python experience
• Practical experience with agentic workflows and frameworks (e.g., LangGraph)
• Hands-on use of LLM APIs (commercial providers) in real products
• Understanding and application of vector stores in AI pipelines
• CI/CD familiarity (build, test, deploy automation)
• Strong English communication in distributed / cross-cultural teams

Nice to have

• Background in AI-focused product teams or fast-paced tech environments
• Experience with AWS or Azure

• Understanding and implementation of RAG patterns (retrieval, chunking, embeddings, evaluation)

   

What we offer

• Work on modern GenAI/agentic solutions with real business impact
• A collaborative engineering environment with room to influence technical decisions
• Growth through challenging projects and continuous learning in a fast-moving domain

Senior Python Engineer (AI-driven Recommendation Platform, iGaming domain)

About the Product

We are developing an AI-powered performance optimization platform for online casinos and sportsbooks. The solution helps operators improve key business metrics by increasing player engagement and loyalty through personalized recommendations and predictive analytics.

The platform collects and processes player behavior data across multiple systems, builds detailed user profiles, and generates actionable insights, including:

• identifying players who misuse bonus programs without long-term retention
• detecting patterns of risky or excessive gaming to support responsible play
• recommending relevant games and activities based on user preferences and behavioral history

You will join a team building scalable recommendation systems, working with large volumes of data, and implementing ML-driven personalization to enhance user experience within iGaming products.

Requirements

• 5+ years of backend development experience with Python
• Strong foundation in mathematics, statistics, or computer science
• Hands-on experience with FastAPI, Django, or Flask
• Solid knowledge of data structures, algorithms, and distributed systems
• Experience with SQL and NoSQL databases (PostgreSQL, Redis, DynamoDB, MongoDB, etc.)
• Practical experience with Kafka or RabbitMQ and asynchronous architectures
• Cloud experience with AWS (Lambda, S3, RDS, SQS, etc.)
• Experience designing and maintaining high-load, scalable systems
• English level — B2 or higher

Nice to Have

• Experience with recommendation systems, data analysis, or ML-based personalization
• Understanding of data pipelines and ETL processes
• Experience with Kubernetes, Docker, and CI/CD pipelines
• Familiarity with Elasticsearch and monitoring/visualization tools (Grafana, Kibana)

Responsibilities

• Design and develop scalable backend services for AI-powered recommendation systems
• Collaborate with data scientists and ML engineers to deploy models into production
• Optimize data storage, processing, and retrieval for large-scale user datasets
• Ensure system reliability, performance, and scalability
• Take part in architectural discussions, code reviews, and mentoring
• Contribute to new features aimed at increasing player engagement and retention

Tech Stack

Python, FastAPI, Django, Flask, Kafka, RabbitMQ, PostgreSQL, Redis, DynamoDB, AWS (Lambda, S3, RDS, API Gateway, CloudWatch), Kubernetes, Pandas, NumPy, SQLAlchemy, Celery, Elasticsearch, Prometheus, Grafana.

Python Developer (Junior / Strong Junior) with DevOps Focus

(Bare Metal & Cloud Infrastructure)

We are looking for a Python Developer (Strong Junior / Middle) with an interest in DevOps and infrastructure to join an international product company from Sweden.
The project focuses on map development and geoinformation services. Communication is fully in English.

Responsibilities:

Backend and REST API development using Python

Working with CI/CD pipelines (build, test, deploy)

Containerizing applications with Docker

Supporting cloud (AWS/GCP) and bare metal infrastructure

Collaboration with an international team

Requirements:

Python backend basics and understanding of REST APIs

Linux fundamentals (users, permissions, systemd, logs)

Understanding of CI/CD concepts

Docker (Dockerfile, docker-compose, containerization concepts)

Basic Git knowledge

Advanced English

Computer Science degree (or 2nd–3rd year student)

Strong motivation to grow in DevOps

Nice to have:

AWS or GCP experience (EC2 / Compute Engine, IAM, networking basics)

CI/CD tools (GitHub Actions, GitLab CI, Jenkins)

Basic networking knowledge (ports, DNS, firewalls)

Basic understanding of Kubernetes

Bash / shell scripting

Experience with VPS, on-prem, or bare metal servers

Looking for a Django/DRF Developer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

     Skills requirements:

• 1 + years of experience with Django and it's components;
• Experience with RESTful APIs, DRF and related libraries;
• Experience with Celery and async task management;
• Experience with SQL and query optimisation;
• Experience of writing tests;
• Able to work independently and excellent in communicating challenges and issues;
   

     Optional skills (as a plus):

• Experience with AWS services (EC2, API Gateways, Lambda, SQS);
• Experience with NoSQL databases (Redis, Elasticsearch, etc.);
• Experience of end-to-end implementation for new functionality;
• Experience with payment systems integrations (Stripe, Shopify, Recurly, Paypal, Braintree, etc.);
• Experience with chargeback management tools (Ethoca, RDR, CDRN, etc.);
• Understanding how to handle high load on projects;
  
  Key responsibilities:
• Design, develop and maintain payment gateway and other integrations;
• Design and develop new features and maintain existing functionality.
• Design and develop web applications using Python/Django/Celery.
• Design, develop and maintain RESTful APIs using Django Rest Framework (DRF).
• Write clean and well-structured code that is easy to read and maintain;
• Write and maintain technical documentation.
• Write and maintain unit tests to ensure code quality.
• Optimize and maintain the security, performance, and usability of the applications.
• Collaborate with the PM/Frontend/DevOps/QA and others team members.
  
  We offer:
• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Comfortable, spacious and well-equipped office in the city center;
• Team building activities, corporate events.

Technical Skills:

• 2+ years of experience in Software development  
• 1+ years of practical experience with Python.
• Knowledge of RESTful API design and implementation.
• Experience in scripting and automating workflows, including working with APIs for task automation.
• Understanding of software design principles, particularly SOLID.
• Basic knowledge of Linux systems and familiarity with the Linux command line.
• Proficiency with version control systems (e.g., Git, GitHub, Bitbucket).
• Practical experience with web frameworks like Flask, Django, or FastAPI.
• Familiarity with Celery, Redis, and RabbitMQ.
• Hands-on experience with containerization tools like Docker.
• Skilled in writing unit and integration tests.
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP)

Problem-Solving Skills:

• Strong analytical thinking and problem-solving capabilities.
• Ability to debug, troubleshoot, and optimize code effectively.

Nice-to-Have Skills:

• Basic understanding of frontend technologies (HTML, CSS, JavaScript).
• English at an intermediate level or higher (to read and understand technical documentation).
• Familiarity with Agile development methodologies.
• Understanding of CI/CD pipelines and DevOps practices.

Responsibilities:

• Developing and maintaining tools and applications for the company’s infrastructure.
• Designing, supporting, and maintaining internal services.
• Transforming and storing data in various formats (e.g., JSON, XML, CSV).
• Automating workflows using APIs.
• Researching, configuring, and integrating third-party software into company processes.
• Providing general IT support and troubleshooting.

We are looking for you!
 

We are looking for a Strong Python Engineer who wants to go beyond classical backend development and step into the world of AI-native systems and Generative AI architectures.

You will work on real client engagements across industries, helping enterprises transform how they operate using Large Language Models, AI agents, retrieval systems, and intelligent automation.

This is engineering-first, production-focused, system-level AI development.

You will contribute to AI-native enterprise platforms, generative AI Proofs of Concept (POCs) and MVPs, agent-based systems and workflow orchestration, Retrieval-Augmented Generation (RAG) pipelines, enterprise AI integrations (CRM, ERP, document systems, knowledge bases), internal AI accelerators and reusable frameworks, and intelligent automation and workflow transformation.

You will work at the intersection of backend engineering, data engineering, applied generative AI, LLM orchestration and cloud-native architecture.

If you do not have hands-on experience in Generative AI yet - that is fine. What matters is strong engineering fundamentals and genuine curiosity.

Qualifications & experience:
 

• Strong proficiency in Python with experience building production backend systems (5+ years)
• Good understanding of software architecture principles
• Hands-on experience working with services of at least one cloud provider (AWS / Azure / GCP)
• You are comfortable going beyond pure engineering - you can contribute to product thinking, consulting discussions, and solution ideation;
• You are particularly interested in emerging AI technologies, LLMs, and generative AI, and follow new developments in the field;
• You understand how business value can be generated through AI technologies and can articulate this clearly;
• You enjoy communication and can effectively interact with both technical and non-technical stakeholders;
• You are a proponent of agentic coding and utilize it daily.

Nice to have:
 

• You have experimented with agentic workflows and LLMs via pet projects;
• You are an active user of agentic AI for your daily tasks and excited about where things are going;
• You’ve looked into integrating with LLM APIs, used LangChain / LangGraph / similar frameworks, digged into RAG and prompt engineering fundamentals;
• You are curious about AI evaluation methodologies and gained some theoretical knowledge;
• You’ve implemented data pipelines (ETL, batch/stream processing).

What impact you’ll make:
 

You will help enterprises:

• Automate complex workflows;
• Enhance decision-making with AI;
• Build conversational and agent-based systems;
• Transform how knowledge is accessed and used;
• Move from experimentation to production-grade AI.

What you’ll get 
 

We offer a rewarding compensation and benefits package, an intellectually and creatively stimulating environment, professional flexibility, and unique international travel opportunities. 

Star is an Equal Opportunity Employer. We believe that equity, diversity, and inclusion are key to our ability to provide our clients and crew members with unique business and career outcomes. Your race, color, ancestry, religion, gender, identity, sexual orientation, age, marital status, and disability have no effect on our hiring decisions. If you have a special need that requires accommodation, please let us know.

Who we are looking for

We are seeking a talented Middle Python Developer with expertise in Generative AI and Agentic AI to join our innovative team. You will work with cutting-edge large language models and AI infrastructure to build solutions that transform our clients' businesses.
 

Required Skills:

• Strong Python programming experience with AI frameworks like LangGraph
• Hands-on experience with Large Language Models (OpenAI, Anthropic, Google Gemini)
• Knowledge of Vector Stores and their application in AI workflows
• Experience with GCP and integrating AI models with APIs and cloud platforms
• Familiarity with CI/CD practices
• Excellent English communication skills and ability to work in cross-cultural teams
   

Nice to have:

• Experience in AI-driven startups or technology companies
• Knowledge of Azure or AWS
• Familiarity with RAG concepts and implementation
   

Your future role:

As a Middle Python Developer, you will be at the forefront of AI innovation, working with advanced technologies and international teams to deliver impactful solutions.
 

Your responsibilities:

• Develop and maintain Python applications focused on Generative AI and Agentic AI
• Work with large language models (OpenAI, Anthropic, Google Gemini) to build innovative AI solutions
• Integrate AI models with various APIs and cloud platforms
• Collaborate with cross-functional teams to deliver robust AI solutions
• Participate actively in team discussions and contribute to project success
   

What we offer:

• Develop and maintain efficient, scalable, and clean Python code
• Design and implement new features to meet client needs
• Optimize application performance and ensure smooth functionality
• Identify and troubleshoot issues, addressing bottlenecks in the codebase
• Collaborate with cross-functional teams throughout the development lifecycle
• Maintain high standards for code quality and automation practices
• Continuously learn and adopt emerging technologies into development processes 
   

Selection process:

• Application and CV review
• Short call with recruiter
• Technical interview with tech expert and Delivery manager
• Final interview in English
• Offer and onboarding

Who we are looking for:
 

• 5+ years Python (complex backend & AI projects)
• Expertise in LangChain, LangGraph, AutoGen, CrewAI, or similar agentic AI frameworks
• Hands-on experience with LLMs (OpenAI, Anthropic Claude, Google Gemini), multi-agent systems, RAG architectures, vector databases (Pinecone, Weaviate, etc.)
• Proven delivery of production AI systems, CI/CD, cloud (AWS, Azure, GCP)
• Strong mentoring/leadership skills, excellent English (B2+)

Nice to have:
 

• MLOps/AgentOps (MLflow, LangFuse), async/distributed, Docker, Kubernetes
• Enterprise API integrations, open-source contributions
   

Your future role:
 

• Architect and develop enterprise-grade multi-agent AI solutions
• Technology selection, code & architecture review, standard setting
• Integrate LLMs, RAG, orchestration, and APIs
• Mentor team members, share knowledge, provide pre-sales technical expertise
• Present solutions to clients, optimize systems, and contribute to R&D
   

What we offer:
 

• Cutting-edge AI projects for top international clients
• Premium access to AI/ML tools and learning budget
• Flexible remote work, global and diverse team
• Health insurance, well-being support, transparent career track: Senior → Lead → Principal/Architect
   

Selection process:

• CV Review
• Screening call with recruiter
• Technical interview with Delivery manager
• Team fit/cultural interview
• Offer

Engineers on this team work on distributed systems, event-driven pipelines, and high-availability services with a strong emphasis on correctness, auditability, and operational excellence. You’ll collaborate closely with
product, compliance, and other platform teams while helping shape foundational systems in a greenfield environment. This is a high-impact opportunity to apply deep backend expertise in Python and Kotlin to systems that matter to both customers and the business.
 

What You'll Do:

• With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others
  to ensure timely delivery of your work.
• You will partner with other members of the B&H team to deliver on the tasks assigned to you by the tech lead or manager.
• You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
• You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
   

What We Look For:

• We are looking for Backend engineers who can contribute to backend services and pipelines.
• You have a total of 5+ years of experience as a software engineer.
• You have experience designing, developing and launching APIs at scale using languages like Python or Kotlin.
• Having front end experience in React is a bonus.
• You have experience creating tests using JUnits, WireMocks
• You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes.
• You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily
  understood, well tested and extensible code.
• You have solid experience working with source control systems like Git and GitHub, and understand how to create, update, and commit pull requests.

We are looking for Senior Python Engineer to join our team.
Our client - the fortune 500 company and a bigger car safety systems manufacturer is planning to develop a Global AI Orchestrator — an enterprise AI-driven Quality Assurance platform operating across cloud, on-prem, and edge environments. The solution integrates Azure services (Azure Entra ID, Azure ML Studio, Azure IoT Hub) with existing customer systems and edge devices to deliver secure, scalable command-and-control capabilities.

The platform manages large fleets of Windows and Linux edge devices — enabling provisioning, software deployment, updates, decommissioning, and inventory exposure via APIs. It supports OCI-compliant container orchestration on the edge, enforces secure communications, and is designed to scale across multiple customer edge use-cases.

Responsibilities:

• Design and implement backend services for the central command-and-control platform
• Develop scalable REST/gRPC APIs for device lifecycle management (provisioning, deployment, updates, inventory)
• Build orchestration services managing OCI container workloads on edge devices
• Integrate AI/ML pipelines and model operations from Azure ML Studio
• Implement secure device communication (TLS, certificate management, encrypted channels)
• Ensure high availability, scalability, and performance of orchestration services
• Collaborate with DevOps on CI/CD, containerization, and release management
• Support cross-platform device management (Windows & Linux)

• Contribute to system architecture, technical design, and code quality standards

   

Requirements:

• 5+ years of professional Python engineering experience
• Strong expertise in microservices architecture and distributed systems
• Proven experience designing production-grade APIs
• Hands-on experience with Docker / OCI containers
• Experience working with IoT or edge device ecosystems
• Solid understanding of secure communication protocols (TLS, PKI, cert rotation)
• Experience integrating with cloud platforms (Azure)
• Knowledge of container orchestration frameworks (Kubernetes, K3s, Edge K8s)
• Exposure to MLOps / AI model lifecycle management
• Strong database experience (SQL/NoSQL)
• Familiarity with event-driven architectures and message brokers

• Experience operating in Linux environments

   

Nice to have:

• Experience with Azure IoT Hub, Azure ML Studio, Azure Entra ID
• Experience with device fleet provisioning at scale
• Automotive, Manufacturing, or Industrial QA domain experience
• Familiarity with Zero-Trust or outbound-only edge security models

• Contributions to platform observability (logging, telemetry, tracing)

   

We offer*:

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

*not applicable for freelancers