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Senior Developer- GenAI
New
AI/ML

Senior Developer- GenAI

Warsaw
243 - 270 USD/dayNet per day - B2B
243 - 270 USD/dayNet per day - B2B
Type of work
Full-time
Experience
Senior
Employment Type
B2B
Operating mode
Hybrid

Tech stack

    English

    C1

    AI

    master

    LLM

    advanced

    REST API

    advanced

    Python

    advanced

    AWS

    regular

    Azure

    regular

    Kafka

    regular

    Java

    regular

    Scala

    regular

    Docker

    nice to have

Job description

Job Title: Senior Developer- GenAI

Location: Warsaw - Poland

Employment Type: Contract

About Hirexa Solutions:

Hirexa Solutions is a leading player in the recruitment ecosystem across the United States, United Kingdom, Europe, and India. As the fastest-growing next-generation provider of technology talent, we empower our clients to become resourceful, achieve higher productivity, adopt agile structures, and effectively execute project deliverables.

Envisioned and co-founded by veterans of the Information Technology industry, our mission is to make recruitment efficient, flawless, and cost-effective. Our unwavering commitment to strategic investments in intelligent technology underscores our passion for people and our dedication to helping organizations realize their true potential.


Position Overview:

For one of our partners, we are seeking a Senior Developer- GenAI. The ideal candidate will possess the necessary skills and experience to contribute to the success of our partner organization.


Job Description:

Mandatory Skills

GenAI, LLMs, RAG, Python, Java, or Scala, REST APIs, Kafka, and cloud platforms (AWS/Azure)


Desired Skills

Docker, Kubernetes, CI/CD, Git, and exposure to prompt engineering, embeddings, or AI-based toolchains preferred


Years of exp needed - 5+

Roles and Responsibilities

Designing and implementing backend systems to support Generative AI workflows and services.

Developing microservices and APIs that integrate with GenAI models, vector databases, and orchestration tools (e.g., LangChain, LangGraph).

Building scalable infrastructure for deploying and serving LLMs and AI pipelines in production environments.

Creating and maintaining data pipelines to support GenAI use cases, including prompt data processing and model feedback loops.

Participating in architecture reviews focused on optimizing GenAI system performance, latency, and modularity.

Collaborating with AI/ML engineers to enable plug-and-play components (e.g., Intent Resolver, Tool Agent, LLM Gateway) in agentic workflows.

Debugging, profiling, and optimizing GenAI applications, including prompt execution paths, model inference, and external API integration.

Writing technical documentation related to GenAI service design, deployment procedures, and best practices.


Details about the project they would be working on.

(if there is differentiator in terms of superior technology versions/exposure/other benefits please specify. It will help generate more interest and boost applications)

• 5+ years of total experience in IT

• 1+ years of hands-on experience with GenAI technologies — including LLMs, prompt engineering, embeddings, fine-tuning, or building RAG (Retrieval-Augmented Generation) pipelines.

• Strong programming skills in one or more languages such as Python, Java, or Scala, with a solid foundation in software design principles, testing, and version control (e.g., Git). Python developers are preferred.

• Strong backend engineering background with expertise in building scalable systems using Python, C#, Java or similar, and hands-on experience with microservices, REST APIs, Kafka, and cloud platforms (AWS/Azure) — preferably with exposure to secure, low-latency architectures.

• Demonstrated interest or experience in GenAI/Agentic AI systems — including building or integrating with LLMs (e.g., OpenAI, Claude), use of tools like LangChain, LangGraph, Copilot, or vector DBs, or implementing AI agent orchestration logic in real-world workflows.

• Comfortable working in AI-first environments, with experience using modern developer tools (e.g., Docker, Kubernetes, CI/CD, Git), and exposure to prompt engineering, embeddings, or AI-based toolchains preferred.


How to Apply:

If you are interested in this opportunity, please submit your resume. We look forward to hearing from you!

243 - 270 USD/day

Net per day - B2B

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