Ai Engineer Job at Apollo Solutions (Prague)

New

AI Engineer

As our next AI Engineer, you will contribute to solving meaningful challenges ac...

Location

Spain; Denmark , København

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

Strong Python skills and solid software engineering fundamentals
Hands-on experience with at least one major cloud (AWS, Azure, or GCP)
Deep, hands-on experience with enterprise LLMs and their APIs (e.g. Anthropic/Claude, OpenAI, Google), including tool/function calling, structured outputs, and the Model Context Protocol (MCP)
Experience building agentic systems with modern orchestration frameworks such as Pydantic AI, LangGraph, OpenAI Agents SDK, AutoGen / Microsoft Agent Framework, or LlamaIndex
Strong command of retrieval techniques including RAG and graph-RAG, vector search, embeddings, reranking, and document-processing pipelines
Practical context-engineering skills and the ability to consistently improve AI quality through prompt and context design
Experience with evals and observability as first-class concerns, including evaluation suites, tracing, regression testing, reliability, latency, and cost management
Familiarity with tooling such as LangSmith, Langfuse, Braintrust, Arize Phoenix, MLflow, DeepEval, or Promptfoo
A solid foundation in data science fundamentals, data analysis, and statistical thinking
Strong communication skills in English

Job Responsibility

Design, build, and ship AI-powered tools that help life science teams create, review, and manage critical documents and data
Build features such as grounded retrieval, summarisation, document comparison, question answering, and content classification with traceability back to source
Design agentic workflows capable of handling complex business processes
Build evaluation frameworks and observability capabilities that ensure reliability and quality
Ensure solutions are secure, auditable, and scalable in regulated cloud environments (AWS, Azure, GCP)
Collaborate closely with clinical, regulatory, quality, and commercial experts to understand their workflows and implement AI solutions that create measurable value

What we offer

Support for health and wellbeing, covering physical, mental, and social needs
Flexible ways of working, built on trust, autonomy, and balance
Ongoing learning and professional development throughout your career
A modern work setup, with the tools and equipment needed to do great work
Recognition of performance and impact, linked to contribution and results
The opportunity to work on challenges that make a meaningful difference for patients and healthcare systems worldwide

Fulltime

Ai Engineer

We are currently looking for a candidate for the position of AI Engineer (he/she...

Location

Poland , Warsaw

Salary:

1100.00 - 1300.00 PLN / Day

Astek

Expiration Date

Until further notice

Requirements

Have strong commercial experience with Generative AI, Large Language Models (LLMs), and Agentic AI systems
Have hands-on experience designing and implementing RAG architectures, AI agents, and orchestration workflows
Are proficient in Python and comfortable building production-grade backend services and AI integrations
Have experience with LangChain, LangGraph, or similar AI orchestration frameworks
Understand prompt engineering, model evaluation, observability, and LLMOps best practices
Have practical experience deploying AI solutions in AWS environments, including Bedrock and related AI services
Are familiar with Docker, CI/CD pipelines, cloud-native architectures, and scalable distributed systems
Can translate business requirements into technical AI solutions and work effectively in international Agile teams

Job Responsibility

Designing and developing enterprise-grade GenAI and Agentic AI solutions
Building and maintaining RAG pipelines, AI agents, and orchestration workflows
Creating scalable AI architectures using LangChain, LangGraph, and related frameworks
Implementing prompt engineering strategies and optimizing LLM performance
Developing backend services and APIs supporting AI-powered applications
Integrating AI solutions with enterprise systems, data sources, and external services
Managing AI deployment lifecycle, monitoring, observability, and reliability processes
Collaborating with cross-functional teams to gather requirements and deliver business value
Participating in architecture discussions, code reviews, and technical decision-making
Supporting CI/CD processes, containerized deployments, and cloud infrastructure management

What we offer

Long-term collaboration
Technical training, certifications, and skills development
Competence Center mentoring
Clear career path
Employee benefits package (Multisport, private healthcare, life insurance)
Friendly working atmosphere, team-building events, and team-building meetings

AI Engineer

We are looking for a highly experienced Senior GenAI & MLOps Engineer to join ou...

Location

Netherlands , Amsterdam

Salary:

Not provided

Levy Professionals

Expiration Date

Until further notice

Requirements

Extensive Python coding experience with a strong software engineering foundation (clean code, design patterns, testing)
Deep experience developing and operating machine learning/artificial intelligence applications in enterprise environments
Hands-on expertise with LLM frameworks and orchestrators (e.g., LangChain or equivalent toolchains)
Strong working experience with Cloud AI services, particularly Azure AI services (Azure OpenAI, Azure Machine Learning)
Proven track record of taking the lead on critical system design and architectural decisions

Job Responsibility

Act as a technical advisor during early-stage business ideation, assessing the viability of GenAI initiatives
Design and implement end-to-end GenAI application architectures and pipelines
Develop robust, clean, and highly maintainable Python codebases
Deploy, operate, and monitor AI applications, integrating modern MLOps best practices
Lead high-level design decisions and align technical strategies with business goals
Manage stakeholders effectively, translating complex AI concepts for non-technical business partners
Design and build applications leveraging modern GenAI/LLM frameworks (e.g., LangChain) and Azure AI services
Ensure code quality by championing clean code principles, unit testing, and design patterns
Build CI/CD and MLOps pipelines to support continuous integration, testing, and deployment of machine learning assets
Facilitate the final stages of the project lifecycle by coordinating and executing thorough operational handovers

Fulltime

Ai Engineer

Location

United States , Atlanta

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Languages: Python, Java, R, C++, JavaScript
ML/DL: TensorFlow, PyTorch, Keras, Scikit-learn
Data: Pandas, NumPy, SQL
NLP: spaCy, NLTK, Hugging Face
CV: OpenCV
Cloud/MLOps: AWS (SageMaker, Bedrock), Azure ML, Google Vertex AI, Docker, Kubernetes
LLM/AI Tools: OpenAI API, Anthropic Claude (Claude Code), LangChain, LlamaIndex, n8n, Pinecone, FAISS

Job Responsibility

Develop ML/DL models (supervised, unsupervised, neural networks, reinforcement learning)
Build deep learning solutions (CNNs, RNNs, Transformers) using TensorFlow, PyTorch, Keras
Perform data processing and analysis (Pandas, NumPy, SQL)
Develop NLP (chatbots, classification) and computer vision solutions (OpenCV)
Deploy models via APIs (FastAPI/Flask), Docker, Kubernetes, and cloud (AWS, Azure, GCP)
Integrate LLMs and AI services (OpenAI, Anthropic Claude, AWS Bedrock, Vertex AI)
Utilize AI engineering tools (LangChain, LlamaIndex, n8n, vector DBs like Pinecone/FAISS)
Apply prompt engineering, RAG, and agent-based workflows
Monitor model performance (accuracy, F1, AUC) and ensure observability
Ensure ethical AI practices (bias mitigation, explainability)

What we offer

medical, vision, dental, and life and disability insurance
401(k) plan
free online training

Ai Engineer

We're hiring a senior AI Engineer to design, build, and ship production AI syste...

Location

India , Jaipur

Salary:

Not provided

HabileLabs

Expiration Date

Until further notice

Requirements

4+ yrs ML/software engineering
2+ yrs on production AI systems
Strong Python
PyTorch or TensorFlow
LLM fine-tuning: LoRA / QLoRA / PEFT
End-to-end ML pipeline experience (train → serve)
Cloud (AWS / GCP / Azure) + Docker / Kubernetes
ASR & TTS integration in real-time streaming systems
VAD, noise suppression, and barge-in handling
Telephony APIs (Twilio, Vonage) or WebRTC experience

Job Responsibility

LLM & GenAI: Fine-tune and deploy LLMs
build RAG pipelines and agentic workflows (LangChain, LlamaIndex)
Voice Pipelines: Architect real-time ASR → LLM → TTS pipelines with <300 ms latency
Voice Agents: Build production voice agents with turn-taking, barge-in handling, and emotion-aware dialogue
Speech Fine-Tuning: Adapt ASR/TTS models for domain-specific accents, terminology, and speaking styles
MLOps: Build reproducible ML pipelines (Kubeflow / MLflow)
maintain CI/CD, monitoring, and model versioning
Inference Optimization: Apply quantization (GGUF, GPTQ), distillation, and hardware-aware inference (TensorRT, vLLM) to cut cost and latency
APIs & Services: Ship high-performance inference APIs in Python (FastAPI) or Go on Kubernetes
Data & Evaluation: Curate text + speech corpora

Fulltime

Ai Engineer

This role sits at the intersection of AI engineering, data scientist, developer ...

Location

United States , New York

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

6+ years of experience as a Software Engineer, AI Engineer, Platform Engineer, or related technical role
Strong production experience building LLM-powered applications and deployment at scale
Strong programming skills in Python and experience building scalable production services and APIs
Experience designing and implementing AI application architectures in cloud-native environments
Hands-on experience with modern AI engineering frameworks and tooling such as LangChain, LangGraph, LlamaIndex, OpenAI APIs, Anthropic APIs, MCP, or equivalent systems
Experience building AI workflows involving retrieval, tool calling, orchestration, context management, and structured generation
Familiarity with AI observability, evaluation frameworks, and production monitoring
Experience deploying and operating AI systems on AWS, Azure, or GCP
Comfortable working in evolving environments and collaborating across teams to deliver AI-powered features and workflows
Strong communication and collaboration skills with the ability to work effectively across engineering, product, and business teams

Job Responsibility

Spend real time with lawyers, legal operations teams, and our internal subject-matter experts
Translate ambiguous, half-formed customer pain into crisp problem statements the team can build against
Collaborate closely with customers and internal stakeholders to prototype, validate, and refine AI-powered workflows and user experiences
Bring the customer voice back into our roadmaps, our model choices, and our trade-offs
Contribute to AI-powered applications and workflows for legal and business use cases
Implement and iterate on LLM application capabilities such as prompt engineering, multi-step workflows, tool calling, and lightweight agent patterns
Contribute to scalable orchestration layers for prompting, retrieval, and tool integration across AI services
Work with frameworks such as LangChain, LangGraph, LlamaIndex, MCP/A2A, OpenAI SDKs, Google ADK, and/or Anthropic/Claude APIs to prototype and productionize AI capabilities
Participate in experimentation, testing, and performance optimization activities for LLM-based applications in production environments
Support adoption of AI engineering practices by helping software engineering teams incrementally integrate machine learning and generative AI capabilities into existing products and workflows

What we offer

Medical
Vision
Dental
Life and disability insurance
401(k) plan

Fulltime

AI Engineer

We are revolutionizing B2B commerce by delivering scalable, innovative solutions...

Location

United Kingdom , London

Salary:

Not provided

RedCloud

Expiration Date

Until further notice

Requirements

At least 6+ years of experience in software engineering, with strong proficiency in C#, Node.JS, Databases (SQL, NoSQL) and 2+ years of experience working with AI/ML technologies, frameworks (e.g., TensorFlow, PyTorch), and developing machine learning models with Python
Strong problem-solving skills and the ability to break down complex challenges into manageable, actionable tasks
An interest in working across both software engineering and AI, with the ability to piece together solutions using a variety of tools and techniques
Excellent communication skills, with a collaborative approach to working within diverse teams
A passion for continuous learning and personal development, with a willingness to explore new ideas and approaches
Familiarity with MLOps (Machine Learning Operations) practices, including the deployment, monitoring, and maintenance of AI/ML models in production environments and experience with cloud platforms and deploying AI/ML models in production environments

Job Responsibility

Design, develop, and implement AI models and machine learning algorithms to solve complex, real-world problems
Work with cross-functional teams to identify opportunities where AI can improve products, services, or internal processes
Integrate AI and machine learning models into production software systems in a scalable and maintainable way
Analyse complex data sets and technical challenges to develop innovative, creative AI solutions
Use your software engineering expertise to piece together different tools, frameworks, and algorithms to create unique solutions
Work collaboratively with the team to brainstorm, prototype, and refine AI solutions
Leverage your background in software engineering to develop clean, efficient code that supports the deployment of AI models and solutions
Ensure that AI models integrate seamlessly with existing systems, and collaborate with software development teams to build robust and scalable applications
Work in close collaboration with data scientists, engineers, and product teams to define AI requirements and deliver innovative solutions
Continuously learn and stay updated on emerging AI tools, techniques, and industry best practices

What we offer

25 Days Annual leave, increasing to 26 days after 12 months in the business
Enhanced Company Pension (Matched up to 5% & Salary Sacrifice)
Healthcare Cashplan with Medicash
Private Healthcare with Aviva
Life Insurance with AIG
Happl, our benefit platform which provides access to pre-negotiated discounts on a wide variety of services including entertainment, food, and fitness
Stock / Equity

Fulltime

Ai Engineer

We're building the world's first viral agent. An AI purpose built for influencer...

Location

United States , San Francisco Bay Area

Salary:

150000.00 - 200000.00 USD / Year

Influur

Expiration Date

Until further notice

Requirements

Solid experience designing multi AI agent architectures with memory, tool use, and feedback loops (LangChain, CrewAI, or custom orchestration), using LLMs such as those from OpenAI, Anthropic, Gemini, etc.
Expertise in full-stack development (Node.js, Next.js) and scalable systems
Strong proficiency in Python is a plus
Ability to reason about API orchestration, error handling, integration complexity
Experience building RAG systems
Experience building and integrating APIs (REST) in Node.js
Hands-on experience using AI-powered IDE tools such as Cursor
Experience properly using LLMs in different parts of a greater system
Deep knowledge of which models to be used whenCreating and using embeddings
Strong grasp of API architecture, performance tuning, and database optimization (SQL)

What we offer

Competitive equity in a venture-backed company shaping the future of music influencer marketing
A seat at the table as we redefine how the most iconic record labels, artists, and brands go viral (think Bad Bunny), with our tech, support, and strategic guidance
Access to elite tools, AI copilots, and a team that builds daily at top speed
Hybrid flexibility

Fulltime

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