Jobs Python

About the Project

The project is an online platform designed to systematize and manage a comprehensive range of therapies, supporting complex domain logic and long-term product evolution.
The backend is built on a legacy Django-based framework, requiring a senior-level engineer capable of understanding, maintaining, and gradually improving an existing system.

This role is for a highly autonomous Senior Python Developer who will be the sole developer on the project, fully owning the technical direction, daily execution, and system evolution.

👉 Key Responsibilities:

• Take full ownership of the backend system built with Django.
• Translate business requirements into technical solutions and execution plans.
• Maintain and evolve a legacy codebase, improving stability, performance, and maintainability over time.
• Design and implement new features using PostgreSQL, Celery, Redis, and Elasticsearch.
• Proactively identify technical debt and propose pragmatic improvement strategies.
• Use AI tools to improve development efficiency, debugging, and refactoring where appropriate.
• Ensure system reliability, scalability, and long-term sustainability.
   

👉What We’re Looking For:

• 6+ years of professional experience as a Python Developer.
• Strong hands-on experience with Django in production environments.
• Solid knowledge of PostgreSQL, relational data modeling, and query optimization.
• Experience with asynchronous/background processing using Celery and Redis.
• Practical experience with Elasticsearch or similar search technologies.
• Experience in SEO optimization.
• Proven ability to work independently and autonomously as the sole developer on a project.
• Strong business-to-technology translation skills — ability to understand business goals and implement them technically.
• Proactive problem solver who takes ownership and responsibility for outcomes.
   

👉 Ideal Mindset:

• Ownership & Responsibility: You treat the system as “your product.”
• Creative Contributor: You suggest better approaches, not just implement tasks.
• Efficiency through AI: You actively use AI tools to speed up development and problem-solving.
• Passion & Engagement: You care about the product, its users, and its long-term success.

👉 What we offer:
 

📈 Professional Growth opportunities:

• Ambitious goals and interesting projects;
• Regular & transparent performance review and feedback process;
• Possibility for both vertical or horizontal growth (in case you want to try a different path).
   

😌 Comfortable Working conditions

•  Flexible working hours;
• Provision of required equipment;

• Remote working model.

   

🎁 Benefits program

• 18 working days of fully paid vacation;
• Free tax reporting support by our Financial department;
• Help with individual entrepreneurs’ questions and accounting support;
• Financial support and additional days off for various occasions (e.g. marriage, childbirth, etc.).

Responsibilities:

• Develop and maintain scalable backend services and APIs using Python.
• Build and support backend functionality for AI/ML-enabled products, including integrations with ML models, AI services, and data-driven workflows.
• Design and implement reliable data processing, ingestion, and asynchronous backend flows.
• Work with cloud services and containerized environments to support scalable application delivery.
• Collaborate with cross-functional teams, including front-end developers, DevOps, product, and AI/ML specialists.
• Write clean, maintainable, and testable code following engineering best practices.
• Improve application performance, reliability, monitoring, and fault tolerance.
• Leverage AI-assisted development tools to accelerate delivery, improve code quality, and streamline repetitive engineering tasks.

Requirements:

• 4+ years of professional software engineering experience.
• Strong proficiency in Python and backend development.
• Experience designing and building APIs and backend services.
• Practical experience with AI/ML-related products, such as integrating AI services, ML models, data pipelines, or AI-driven features.
• Experience with relational and/or non-relational databases.
• Understanding of distributed systems, asynchronous processing, queues, or event-driven architecture.
• Hands-on experience with cloud services, preferably AWS.
• Practical hands-on experience with AI prompt engineering, leveraging Claude Code, Cursor, GitHub Copilot, or equivalent developer-AI tools.
• Solid understanding of LLM context design, tool integration, and code-generation workflows.

Nice to have:

• Experience with AWS services such as S3, API Gateway, Lambda, or SQS.
• Experience with Kubernetes in production environments.
• Experience designing data ingestion, replication, or ETL-style pipelines.
• Background in high-throughput backend services or large-scale data processing.
• Experience working closely with ML engineers or data teams.

Note:

The role description is intentionally high-level at this stage, as some project details are confidential. We will be happy to share more context during the interview process.

Department/Project Description

The Client's Digital Health organisation is a technology team focused on next-generation Digital Health capabilities which deliver on the company's mission and vision to deliver Insight Driven Care. This role will operate within the Digital Health Applications & Interoperability subgroup of the broader Digital Health team, focused on patient engagement, care coordination, AI, healthcare analytics & interoperability among other advanced technologies which enhance our product portfolio with new services, while improving clinical & patient experiences.

Job Description

Healthcare, Medical Device, Python, FHIR/HL7v2, EPIC/Cerner

- FHIR & HL7V2: Working knowledge and experience in implementing healthcare data exchange solutions with FHIR and HL7v2 standards.

- AWS Platform: Working experience with AWS services - in particular serverless architectures (S3, RDS, Lambda, IAM, API Gateway, etc…) supporting

- API development in a microservices architecture

- Programming Languages: Strong programming skills in Python

- Data Formats: Experience with JSON, XML and other relevant data formats

- HealthCare Interoperability Tools: Previous experience with integration engines such as Intersystems, Lyniate, Redox, Mirth Connect, etс. 

- CI/CD Tools: experience setting up and managing CI/CD pipelines using GitLab CI, Jenkins, or similar tools

- Scripting and automation: experience in scripting languages such as Python, PowerShell, etc…

- Monitoring and Logging: Familiarity with monitoring & logging tools like CloudWatch, ELK, Dynatrace, Prometheus, etc…

- Source Code Management: Expertise with git commands and associated VCS (Gitlab, Github, Gitea or similar)

- Documentation: Experience with markdown and in particular Antora for creating technical documentation

Preferred: Previous Healthcare or Medical Device experience

- Experience working with Healthcare Data, including HL7v2, FHIR and DICOM

- FHIR and/or HL7 Certifications

- Building software classified as Software as a Medical Device (SaMD)

- Understanding of EHR technologies such as EPIC, Cerner, etc…

- Experience implementation enterprise grade cyber security & privacy by design into software products

- Experience working in Digital Health software

- Experience developing global applications

- Strong understanding of SDLC – Waterfall & Agile methodologies

- Software estimation

- Experience leading software development teams onshore and offshore.

Job Responsibilities

- Develops, documents, and configures systems specifications that conform to defined architecture standards, address business requirements, and processes in the cloud development & engineering.

- Involved in planning of system and development deployment, as well as responsible for meeting compliance and security standards.

- API development using AWS services in a scalable, microservices-based architecture

- Actively identifies system functionality or performance deficiencies, executes changes to existing systems, and tests functionality of the system to correct deficiencies and maintain more effective data handling, data integrity, conversion, input/output requirements, and storage.

- May document testing and maintenance of system updates, modifications, and configurations.

- May act as a liaison with key technology vendor technologists or other business functions.

- Function Specific: Strategically design technology solutions that meet the needs and goals of the company and its customers/users.

- Leverages platform process expertise to assess if existing standard platform functionality will solve a business problem or customization solution would be required.

- Test the quality of a product and its ability to perform a task or solve a problems.

- Perform basic maintenance and performance optimization procedures in each of the primary operating systems.

- Ability to document detailed technical system specifications based on business system requirements

- Ensures system implementation compliance with global & local regulatory and security standards (i.e. HIPAA, SOCII, ISO27001, etc…)

We are looking for a Senior Backend Developer to join our Data Ops team. You will design, build, and maintain the backend systems that power our data pipelines, automation workflows, and internal tooling. This role blends deep Python expertise with cloud-native architecture, a pragmatic approach to automation, and a growing focus on integrating AI/ML capabilities into our platform. You will work closely with data engineers, front-end developers, and product stakeholders to ship reliable, scalable software.

Technology Stack

Python 3.11 — 3.14, AWS (Lambda, ECS, S3, Step Functions, CloudWatch),
Kubernetes, MongoDB, Redis, Apache Kafka, Pytest, GitHub Actions / Jenkins, Docker, SciPy, NumPy, pandas, scikit-learn, LLM APIs (OpenAI / Anthropic)


Responsibilities & Duties

— Architect and deliver efficient, well-documented, and highly readable backend services that set the quality bar for the team.
— Design and maintain automation pipelines (CI/CD, scheduled jobs, event-driven workflows) that reduce manual effort and improve reliability.
— Build lightweight internal dashboards, admin panels, or API-driven front-end components using frameworks such as React, Vue, or Streamlit to surface data and system health to stakeholders.
— Integrate AI/ML models and LLM-based features into backend services, including prompt engineering, embeddings pipelines, and retrieval-augmented generation (RAG) patterns.
— Dive into new technologies and product disciplines, driving innovation and staying current with the evolving AI and data engineering landscape.
— Define development plans based on project requirements and ensure timely delivery while remaining flexible to changing priorities.
— Oversee the stability of your services, monitoring system health, uptime, and performance post-release through observability tooling (CloudWatch, Datadog, or similar).
— Lead code reviews with peers, fostering a culture of continuous improvement, knowledge sharing, and engineering best practices.


Qualifications & Skills

Required
— 7+ years of hands-on Python development on large-scale, production systems.
— Strong experience with NoSQL databases (MongoDB preferred) and ability to design performant data models.
— Practical knowledge of AWS services and cloud-native design patterns.
— Experience building or maintaining CI/CD pipelines, automated testing suites, and infrastructure-as-code.
— Comfortable presenting ideas and technical details clearly to cross-functional teams.

Nice to Have
— Familiarity with front-end frameworks (React, Vue, or Streamlit) for building internal tools or dashboards.
— Hands-on experience with AI/ML workflows: training pipelines, model serving, or integrating LLM APIs.
— Knowledge of Kubernetes for container orchestration and scaling.
— Experience with event-driven architectures using Kafka or similar streaming platforms.
— Contributions to open-source projects or a visible engineering blog / portfolio.


What We Offer

— Working on great tech stack (app platform) with truly big data (processing 1TB every day)
— Product company with a long-term vision
— Project exposure and ownership that impacts our users, product, and business
— Medical insurance
— Sport benefit

We're looking for a sharp, curious, and driven Data Engineer to join Forecasa, a U.S.-based data startup delivering high-quality real estate data and analytics to lenders and investors.

You'll be part of our Data Acquisition & Quality team, helping scale and improve the systems that collect, validate, and monitor the data powering our platform. We've built serious AI-augmented development workflows internally - Claude Code, autonomous agents, GitLab-based orchestration - and we're looking for engineers who've already formed their own opinions about how to work effectively with these tools.

What You'll Do

• Develop and maintain Python-based web scrapers, using AI coding assistants to accelerate development while applying your judgment on reliability and edge cases
• Use tools like Selenium, BeautifulSoup, Pandas, and PySpark to extract and normalize data efficiently
• Package scrapers as Docker containers and deploy them to Kubernetes
• Create and manage Airflow DAGs to orchestrate scraping pipelines
• Build data validation pipelines to catch anomalies, missing values, and inconsistencies
• Review and refine AI-generated code for production reliability
• Set up Grafana dashboards to monitor pipeline health and data quality metrics

Our Tech Stack

Python · PySpark · Selenium · Airflow · Pandas · Postgres · S3 · Docker · Kubernetes · GitLab · Grafana · Claude Code

What We're Looking For

• Solid Python experience, especially building web scrapers
• Familiarity with Selenium, BeautifulSoup, or Scrapy
• Some experience with Docker, Airflow, or other orchestration tools
• Active use of AI coding tools (Claude Code, Cursor, Copilot, etc.) with opinions about what works and what doesn't - we want to hear about your preferred workflows
• Strong code review instincts - you can spot issues in code whether you wrote it or an AI did
• A resourceful, problem-solving mindset - not afraid to dig into a messy site or debug a flaky scraper

Bonus Points For

• Experience with Grafana or Prometheus for monitoring
• Exposure to cloud platforms (AWS preferred) and managing scrapers at scale
• Familiarity with CI/CD and Git workflows (we use GitLab)

About Us

Forecasa delivers enriched real estate transaction data to private lenders and institutional investors. We're a small, fast-moving team with a strong engineering culture. We've invested heavily in AI-augmented development - autonomous coding agents, GitLab orchestration - and we're looking for people who are already bought in on this direction, not people we need to convince.

Location

Remote – we welcome candidates from anywhere in the world.

To Apply

Tell us about your current AI coding workflow - what tools you use, what you've learned, what you'd do differently. Generic applications without this will be deprioritized.

Requirements:
— 3 year of commercial experience with Python and Django;

— 2 year of commercial experience with HTML, CSS, JavaScript
— Ability to work with databases (not only through ORM);
— Django REST Framework & Celery knowledge;
— Understanding of REST principles;
— The knowledge of basic HTTP principles;
— Experience with git & github;
— Knowledge of the agile & scrum the basics;
— Ability to communicate in English.

Nice to Have:
— Skills in React.js / Next.js; FastAPI
— Advanced knowledge of PostgreSQL;
— Experience with Redis;
— Familiarity with MongoDB;

• We're seeking a strong and creative Software Developer eager to solve problems of scale and work on cutting edge and open-source technologies. In this project, you will have the opportunity to write code that will impact thousands of users every month. You'll implement your critical thinking and technical skills to develop cutting edge software, and you'll have the opportunity to interact with teams across disciplines.
  
  In Luxoft, our culture is one that strives on solving difficult problems focusing on product engineering based on hypothesis testing to empower people to come up with ideas. Great Place to Work Institute certifies us as one of the Top 10 companies to work for in Mexico, and we do it with a truly flexible environment, high impact projects in Agile environments, a culture focused on results, training and strong support to grow your career.

• Responsibilities:

  - Work closely with other engineers, designers, and management teams to rapidly build, iterate, test, and deploy new features and products and main a high-quality robust codebase
  - Improve and scale the existing products and tools
  - Launch new projects from ideation to completion
  - Actively support your team's deployed software
  - Drive the development team towards the goal by integrating skills and experiences.
  - design integration with 3rd parties (Python AWS interoperability role)
  - work with Auths (Authorizations) process - connect to many diff systems interoperability via healthcare data / companies / health systems / EMR
  - Work with QA, product management, and operations in an Agile environment.
  - Develop and support data-driven product decisions in a high energy high-impact team.
  - Participate in the resolution of production issues and lead efforts toward solutions.
  - To maintain legacy applications and participate in the migration to newer technology in the mid-term if needed.
  - Collaborate and drive research to find the solution to system bugs and issues.

• Mandatory Skills Description:

  - 5+ years of professional software development experience
  - Strong understanding of Computer Science fundamentals in data structures, algorithms, and design patterns
  - Advanced proficiency in Python as software or data engineering
  - Expertise in AWS (EKS, Lambda, S3), other cloud services
  - Comprehensive grasp of databases (SQL/NoSQL)
  - Mastery of API design (REST and GraphQL)
  - Proficiency with event-driven architectures and messaging systems (Apache Kafka or RabbitMQ)
  - Experience with Event-Driven Microservices (Kafka backbone) Identity management/OAuth
  - Experience with observability, tracing, and other cloud-native patterns

We are developing an innovative, conversational voice-based AI tailored for the restaurant industry. Our AI-powered solution is designed to enhance customer interactions, increase efficiency, and improve overall service quality. Our first major deployment focuses on automating order-taking in Quick Service Restaurants (QSRs), reducing employee workload while driving higher sales and a seamless customer experience.
 

What You’ll Bring:

• 6+ years of experience in Python
• Strong background in software design and backend development
• Hands-on experience deploying multiple production projects
• Expertise in Docker, Kubernetes, Microservices, CI/CD, and cloud environments (AWS, GCP, Azure)
• BSc in Computer Science or equivalent industry experience
• Key qualities: Leadership skills, High performer, team player, fast learner, strong ownership mentality, and great communication skills
   

Bonus Qualifications:

• Architect-level experience with deep system design knowledge
• Familiarity with gRPC, Async IO, WebRTC
• Experience with Ansible
   

About the Role:

Our backend is fully developed in Python, running in a cloud-based Kubernetes environment. Unlike traditional backend systems that primarily interact with a UI, this system is responsible for processing real-time audio streams and executing complex AI-driven algorithms.

The role involves:

• Designing and implementing key backend components, focusing on distributed architecture, concurrency, and high-performance scaling
• Optimizing real-time data processing for AI-driven applications
• Ensuring backend reliability, scalability, and efficiency in a production environment
   

We are committed to building an exceptional team that values diversity, innovation, and excellence.

If you’re passionate about AI, real-time systems, and backend development at scale, we’d love to hear from you!

About the Product:
 

They build one of the most trusted AI order-taking systems for drive-thrus, designed specifically for high-volume QSR environments and built to scale. Their AI consistently delivers over 93% order completion and 96% accuracy, enabling faster, error-free service across thousands of locations.

Their platform gives brands full control over scripts, upsells, and voice, while allowing franchisees to easily adapt menus, limited-time offers, and regional variations. Built-in labor optimization reduces employee stress and turnover, saves hours of labor every day, and significantly improves the guest experience.

They are growing rapidly and operate the largest number of voice-AI drive-thru deployments in the market, competing directly with both big tech and restaurant technology leaders.

They are now looking for a Staff Engineer to join their Infrastructure team and help shape the backbone of a highly complex, real-time system at scale.

 

About the Role:
 

As a Staff Engineer, you will operate at a high level of ownership and impact, working on systems that are already live in production and used at massive scale.

You will:

• Own and evolve critical parts of the core backend infrastructure -a real-time, distributed system written in Python and Rust
• Lead large technical initiatives end-to-end with minimal guidance
• Troubleshoot and resolve high-severity, complex production issues
• Continuously improve development velocity while maintaining exceptionally high reliability standards

Why You Should Apply

This role is ideal for engineers who want real technical ownership, not just influence on paper.

By joining them, you will:

• Work on mission-critical, real-time systems deployed at massive scale
• Tackle hard infrastructure problems involving networking, performance, concurrency, and reliability
• Have genuine autonomy to design, build, and ship impactful solutions
• Compete technically with top-tier big tech systems while retaining startup-level speed
• Influence architecture decisions that directly affect thousands of real-world locations
• Be part of a team that values deep technical excellence, resilience, and ownership

If you’re looking for a role where your experience truly matters - and where the problems are genuinely difficult - this is it.

Qualifications

• BSc in Software Development or equivalent industry experience
• Previous experience as a Staff or Principal Engineer in a startup environment
• 10+ years of Python development experience
• Strong experience with Python Asyncio
• Excellent software design and architecture skills
• Strong written and verbal communication skills
• Significant experience with at least one strongly typed language (Rust, C++, Go, Swift, Java, etc.)
• Deep understanding of networking protocols and operating systems
• Deep expertise in Python profiling and performance optimization
• Proven experience delivering and troubleshooting production-grade, cloud-based distributed systems
• Experience building and debugging real-time, low-level systems (e.g., kernel, drivers, RTOS)
• Hands-on experience with Kubernetes and Helm
• Experience working with multiple observability stacks
• Strong LLM prompting skills, while also being effective without them
• Experience with gRPC and gRPC troubleshooting
• Contributor or maintainer of an open-source project

Bonus Experience

• Knowledge of WebRTC, STUN/TURN, SIP, RTP, HLS, or RTMP
• Experience with Rust and PyO3
• Audio or voice-related programming experience

Qualities They’re Looking For

• Fast - you aim to be a true 10x engineer, not just another senior profile
• Resilient - comfortable balancing planned work with urgent, real-time issues
• Clear communicator - able to write concise documentation and explain complex ideas
• Strong problem solver with a systems-level mindset
• Extreme ownership and independence
• Ability to turn incomplete or ambiguous requirements into real products
• A collaborative team player who raises the technical bar around them
  
  If you’re passionate about AI, real-time systems, and backend development at scale, we’d love to hear from you!

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're looking for a Full-Stack Developer with a strong backend focus and real, hands-on fintech experience — specifically in building crypto exchanges or digital banking products. If you've spent the last few years deep in trading engines, payment flows, or core banking systems, we want to talk.

This is not a role for someone who has worked around fintech. We need someone who has been inside it - building the systems that move money, settle trades, and keep financial data consistent at scale.

What You'll Be Doing:

• Designing and building backend services that power financial operations - payments, ledgers, transaction processing, and compliance workflows
• Integrating with external payment providers, banking APIs, and crypto infrastructure
• Owning complex backend logic while contributing to React-based frontend when needed
• Ensuring financial data integrity, security, and regulatory compliance across the stack
• Collaborating closely with product and business stakeholders who speak the language of finance

What We're Looking For:

• 2-3+ years of hands-on experience building fintech products — ideally a crypto exchange or digital bank (this is a hard requirement, not a nice-to-have)
• Strong Python backend expertise (Django)
• Practical experience with financial systems: payments, ledgers, double-entry accounting logic, reconciliation
• Experience integrating with external payment providers — APIs, webhooks, payment flows, error handling
• Understanding of compliance-sensitive workflows: KYC, AML, transaction monitoring
• Comfortable with React on the frontend - you don't need to be a UI specialist, but you can own a feature end-to-end
• Experience with relational databases and financial data modeling (PostgreSQL preferred)

What we offer:

📈Professional Growth opportunities:

• Ambitious goals and interesting projects;
• Regular & transparent performance review and feedback process;
• Possibility for both vertical or horizontal growth (in case you want to try a different path).

😌Comfortable Working conditions

• Flexible working hours;
• Provision of required equipment;
• Remote working model.

🎁Benefits program

• 18 working days of fully paid vacation;
• Free tax reporting support by our Financial department;
• Help with individual entrepreneurs’ questions and accounting support;
• Financial support and additional days off for various occasions (e.g. marriage, childbirth, etc.);

We are looking for an experienced Python Software Engineer to join our team and help build AI-driven automation solutions. In this role, you will design and enhance intelligent workflows that automate internal processes and improve overall efficiency.

You’ll work closely with cross-functional teams, contributing to scalable systems and high-quality engineering practices in a fast-paced, product-oriented environment.
 

Responsibilities:

• Design, develop, and improve AI-powered workflows and services
• Implement new features and optimize existing functionality for performance and scalability
• Write and maintain unit and integration tests
• Participate in code reviews and contribute to engineering best practices
• Apply modern architectural approaches and industry standards
• Collaborate with other teams to deliver reliable and high-quality solutions
   

Required Qualifications:

• 5+ years of commercial software development experience
• Strong proficiency in asynchronous Python (e.g., asyncio, aiohttp)
• Hands-on experience with AWS services (Lambda, IAM, S3, SQS/SNS, EC2, ECS)
• Experience with CI/CD pipelines and DevOps practices
• Experience designing RESTful APIs, including security, versioning, and error handling
• Solid understanding of software architecture, design patterns, and data structures
• Strong communication skills and experience working in distributed teams
• Upper-intermediate level of English
   

As a plus:

• Experience building or working with agent-based (agentic) workflows
• Familiarity with Bedrock AgentCore or Strands SDK
• Experience with containerization (Docker, Kubernetes)
• Experience with AI-assisted development tools (e.g., Cursor, CLine, Claude Code)

What you'll do:

You will design, build and ship LLM-powered features end-to-end. Day-to-day this means owning a problem from a Linear ticket through to a deployed Python service in production: prompts, evals, retrieval pipelines, agentic workflows, integrations with our CRM data, and the operational tail of monitoring and on-call.

You will work directly with the founder. There is no PM filter and no architect filter. You decide on the design, you write the code, and you run the deploy. AI tools (Claude Code, Cursor, MCP servers) are part of the workflow — we expect you to leverage them aggressively, not babysit them.

Requirements:

- 3+ years of production Python (FastAPI / async / typed code)

- 30+ days of daily Claude Code usage with a public /insights HTML report you can share

- Demonstrated RAG / agentic systems experience (vector DBs, embeddings, tool-use, function-calling)

- Comfort with PostgreSQL, Docker, and at least one cloud (AWS / GCP / Hetzner)

- Strong written English (B2+) — async-first team, written communication is the default

- Self-managed: we do not assign you tasks daily, you pull from a backlog

Strong plus:

- LangChain / LlamaIndex / DSPy production experience (not tutorial level)

- MCP server authoring or skill/hook engineering on Claude Code

- LLM evaluation infrastructure (custom evals, regression suites)

- Open-source contributions in the LLM ecosystem

- Experience scaling RAG above 10M documents

Selection process:

1. Application form with your /insights HTML report (filtering happens here)

2. 48-hour async test — small RAG service from a starter repo we send you

3. 45-min interview — we discuss the test, your /insights, and the trade-offs you made

4. Offer — monthly retainer USD 1500-6000 depending on level and timezone overlap

We do not run live coding interviews and we do not run "culture-fit" calls.

A note on language

Day-to-day internal communication (chats, calls, design discussions) happens in Ukrainian and Russian. Code, PRs, tickets, documentation, and any client-facing work stay in English. We are upfront about this so candidates can opt in or out before applying — being comfortable working in a Ukrainian/Russian-speaking team is a hard requirement for the role.

CrunchCode — міжнародна сервісна ІТ-компанія з досвідом близько 7 років у розробці вебсервісів і вебзастосунків. Ми працюємо у форматах staff augmentation (outstaff) та outsourcing і підключаємо спеціалістів до проєктів клієнтів у довгостроковій моделі співпраці.

Ми працюємо переважно з проєктами в доменах логістики (включно з last mile),e-commerce, fintech та банкінгу, а також enterprise-рішеннями.
Для нас важливо, щоб проєкт був “чистим” і зрозумілим з точки зору етики та цінності для користувачів.

Ми принципово не беремо проєкти, пов’язані з:
● gamblng / гемблінгом,
● adult-контентом та порнографією,
● шахрайством або будь-якою розробкою, що спрямована на обман чи маніпуляції.

What We Offer:
● Fully remote work
● Long-term, stable project
● High level of autonomy and trust
● Minimal bureaucracy
● Direct impact on business-critical logistics systems
● Long-term engagement, not a short-term contract.

Project Overview 
High-agency backend role building reliable, scalable systems that support real-time, high-throughput workloads — telephony, AI inference, and third-party integrations. The engineer will own and evolve backend services on an AWS container stack (ECS + Docker) while actively contributing to a migration toward Kubernetes.

Тech Stack: Python, TypeScript, Node.js, AWS (ECS), Docker, Kubernetes, REST APIs, LLM/Speech APIs, CI/CD, Microservices

Requirements (Must-have):

• Strong hands-on experience with Python as primary backend language
• Solid TypeScript / Node.js experience
• Experience with AWS (ECS), Docker, and container-based infrastructure
• Experience with microservices architecture and REST APIs
• Hands-on experience with AI integrations (LLM and/or speech APIs)
• Familiarity with Kubernetes or active interest in migration to K8s
• CI/CD practices
• High agency — ability to own systems independently
• English B2+
  
  Responsibilities:
• Own and evolve backend services end-to-end
• Build scalable, reliable systems for real-time and high-throughput workloads (telephony + AI inference + integrations)
• Work primarily in Python with growing contribution in TypeScript (Node.js)
• Maintain and scale AWS ECS + Docker infrastructure
• Contribute to Kubernetes migration
• Integrate LLM and speech APIs into production systems
• Design and maintain REST APIs and microservices architecture
• Implement and improve CI/CD pipelines
  
  Nice to Have:
• Experience with telephony systems or real-time audio pipelines
• Experience leading or contributing to cloud migration projects
• Background in AI-driven or voice-based products
  
  Hiring Process :
• Intro call 
• Technical discussion 

• Offer

  Start: ASAP

Softcery builds advanced AI systems for B2B SaaS companies. We partner with founders in the US and UK to design, build, and scale production-ready AI solutions that solve real business challenges. Our team focuses on complex AI engineering — systems that are technically robust, business-aligned, and built to scale. We combine deep technical expertise with strong product thinking, helping companies move from AI ambition to real, production impact.

We are looking for a Junior AI Software Engineer, who is passionate about AI, has a strong technical background, and wants to grow fast through real projects and mentorship. You’ll work side-by-side with experienced engineers, get mentorship, and see your code go into real products.


What You’ll Do:

• Work on AI integrations — implement and extend LLM-based features (OpenAI, Anthropic, Mistral, etc.) in real applications.
• Contribute to AI products — develop chatbots, voice agents, and automation features across internal and production systems.
• Support production AI systems — help maintain, improve, and debug existing AI-driven features.
• Participate in AI experiments — test models, APIs, and approaches to improve quality, cost, and performance of solutions.
• Grow toward client projects — gradually move from internal initiatives to real client-facing AI implementations.

What We’re Looking For:

• 6+ months of commercial experience with AI development — experience in real projects (AI products or AI integrations).
• Experience with AI/LLM systems — hands-on work with tools like OpenAI, Anthropic, LangChain, RAG pipelines or similar.
• Python skills — comfortable working with Python, APIs, and AI integrations.
• Understanding of software fundamentals — data structures, databases (SQL), and basic system design concepts.
• Interest in AI — curiosity about new models, tools, and practical applications.
• English level — Upper-Intermediate or higher.

Nice to have:

• Experience with APIs and backend systems — ability to integrate and debug third-party services.

• Familiarity with Git — understanding version control and basic workflows in a small development team.

  
   

What We Offer:

• Structured onboarding & mentorship — you’ll get a clear onboarding plan, documented workflows, and a team that’s got your back.
• Flexible remote schedule — work from wherever and whenever you’re most productive.
• Learning budget — we cover books, courses, English lessons, and AI tools for your professional growth.
• Full accounting support — so you can focus on the work, not the paperwork.
• Time off — 20 paid vacation days, 12 sick days, 2 paid period leave days/month (for women), and your birthday off.
• IT Cluster membership — access to professional events and networking opportunities in the local tech community.
  
   

🔁 Hiring Process: Recruiter Interview → Tech Interview → Test Task → Final Interview.

If you care about who you work with, what you create, and how it affects the outcome, we will definitely be on the same page. We’re excited to meet you 👋