Senior AI Engineer Job at Translation Empire (Islamabad)

Senior AI Engineer

The client is seeking an experienced AI Engineer with a strong focus on Generati...

Location

United States , New York

Salary:

150000.00 - 200000.00 USD / Year

Apollo Solutions

Expiration Date

Until further notice

Requirements

5+ years of experience in AI/ML engineering or a related field
Strong programming skills in Python
Proven experience building and deploying generative AI or LLM-based applications
Hands-on experience with frameworks such as PyTorch, TensorFlow, or similar
Solid understanding of machine learning fundamentals and evaluation techniques
Experience building APIs and production systems (e.g., FastAPI, Flask)
Experience with cloud platforms (AWS, GCP, or Azure)
Strong understanding of prompt engineering, embeddings, and vector search
Ability to thrive in a fast-paced startup environment with high ownership

Job Responsibility

Design, build, and deploy generative AI solutions, including LLM-powered applications
Develop and optimize end-to-end ML pipelines (data processing, training, evaluation, deployment)
Integrate and fine-tune large language models (e.g., OpenAI, Anthropic, open-source models)
Implement advanced GenAI techniques such as retrieval-augmented generation (RAG), prompt engineering, and agents
Build scalable backend services and APIs to serve AI models in production
Collaborate with product and engineering teams to translate business requirements into AI features
Continuously improve model performance, scalability, latency, and cost efficiency
Stay current with emerging trends and advancements in AI, particularly in the generative AI space

Fulltime

Senior AI Engineer

As a Senior AI Engineer, you will spearhead the technical execution of 3Shape’s ...

Location

Ukraine , Kyiv

Salary:

Not provided

3Shape

Expiration Date

Until further notice

Requirements

Master’s degree in CS, Data Science, ML, or related field (or equivalent practical experience)
2–4 years of experience in Software Engineering or AI/ML development, with a deep understanding of how to build and maintain scalable systems
Proven end-to-end solution ownership
Strong Python skills (FastAPI/Flask)
Deep hands-on experience with Agentic Systems, prompt engineering, tool-use (function calling), and RAG/knowledge-base integration

Job Responsibility

Lead the integration of external AI tools, ensuring every solution delivers measurable business impact
Design, test, and productionize sophisticated chat and voice agents featuring LLM reasoning and TTS integration
Architect workflows that streamline operations and drive efficiency across the organization
Take full accountability for the lifecycle of a product from initial concept and design to production and maintenance
Empower internal teams by providing the training needed to maximize the adoption of custom AI solutions

What we offer

24 working days of annual vacation
medical insurance
paid sick leaves and child sick leaves
maternity and paternity leaves
breakfasts and lunches in the office
good working conditions in a comfortable office in UNIT.City
a parking lot with free spaces for employees
occasional business trips to Western Europe

Fulltime

Senior AI Engineer

As a leader in cybersecurity, Rapid7 is expanding our global AI footprint and is...

Location

United Kingdom , Belfast

Salary:

Not provided

Rapid7

Expiration Date

Until further notice

Requirements

Proven expertise in building and deploying AI systems in production using Python and modern ML frameworks
Hands-on experience with tools such as: scikit-learn, PyTorch, or TensorFlow for model development
AWS Bedrock, Sagemaker, HuggingFace, or equivalent cloud AI stacks
CrewAI or other orchestration frameworks for agentic AI systems
Pandas, NumPy, Airflow, or Databricks for data engineering and workflow automation
Understanding of model lifecycle management, including monitoring, retraining, and versioning
Ability to evaluate trade-offs between model performance, latency, and interpretability
Strong written & verbal communication with the ability to convey complex ideas clearly to both technical and non-technical audiences

Job Responsibility

Develop and ship high-quality AI systems that deliver measurable customer value
Lead the technical implementation of specific AI projects, from prototyping through deployment
Collaborate closely with product, data science, and platform teams to design, build, and ship AI-powered features that deliver measurable customer and business value
Contribute to the development of best practices for model experimentation, evaluation, and observability
Mentor and support team members in areas like architecture, model design, and debugging
Maintain awareness of emerging AI methods relevant to cybersecurity and share learnings internally

Fulltime

Senior AI Engineer

We are seeking a highly skilled and experienced Senior AI Engineer to lead the d...

Location

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
5+ years of experience in AI/ML development with a focus on building and deploying AI pipelines and backend systems
Proven experience in designing and implementing data ingestion and processing pipelines
Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services
Expertise in Python and relevant AI/ML libraries
Strong understanding of AI infrastructure and deployment strategies
Experience with data engineering and data processing techniques
Proficiency in software development principles and best practices
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
Experience with version control (Git)

Job Responsibility

Design and implement efficient and scalable pipelines for data ingestion, processing, and transformation, tailored for Generative AI workloads
Orchestrate the flow of data between various AI services, databases, and backend systems within the Generative AI context
Build and maintain CI/CD pipelines for deploying and updating Generative AI services and pipelines
Develop and manage systems for ingesting diverse data sources (text, images, code, etc.) used in Generative AI applications
Implement OCR and other preprocessing techniques to prepare data for use in Generative AI pipelines
Ensure data quality, consistency, and security throughout the ingestion process
Integrate and manage external AI services (e.g., cloud-based APIs for image generation, text generation, LLMs) into our Generative AI applications
Develop and maintain APIs for seamless communication between AI services and backend systems
Monitor and optimize the performance of integrated AI services within the Generative AI pipeline
Design and implement RAG pipelines to enhance Generative AI capabilities with external knowledge sources

Fulltime

Senior Ai Engineer

We are looking for an experienced engineer to design, build, and improve intelli...

Location

India , Hyderabad; Bengaluru

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, AI/ML, NLP, or a related field
5+ years of experience in software engineering, with hands-on work in NLP or ML systems
Practical experience building or integrating LLM-powered applications or agents
Experience working with structured data systems, including SQL and relational databases
Solid understanding of system reliability, testing, and performance tradeoffs

Job Responsibility

Design and implement NLP-driven AI agents that can interpret user intent, reason through tasks, and interact with external systems and data sources
Develop agent workflows involving multi-step reasoning, tool invocation, and structured outputs
Integrate agents with enterprise data platforms, APIs, and services, including structured data systems
Collaborate with cross-functional teams to define agent capabilities, usage scenarios, and system behavior
Build and maintain evaluation frameworks to measure agent quality, correctness, robustness, and reliability across different scenarios
Analyze agent behavior, logs, and failure cases to continuously improve performance and user experience
Contribute to best practices around prompt design, agent architecture, testing strategies, and observability

Fulltime

Senior AI Engineer

ABOUT THE JOB Architect agentic systems, including planning, memory, tool integ...

Location

Vietnam , Ho Chi Minh City

Salary:

Not provided

Amaris Consulting

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Artificial Intelligence or related field
From 5 years of experience in AI Engineering or similar role, with a focus on backend developement
Experience with machine learning fundamentals, including transformers, attention mechanisms, positional encoding, KV cache, tokenization, and sampling
Experience building production systems with advanced language models (Anthropic, OpenAI, Gemini, open-weight), including handling tool-use stability, structured-output failure modes, long-context degradation, prompt-injection defense, and cost control
Experience developing agent systems with planning, memory, tool orchestration, multi-step execution, and error recovery
multi-agent coordination is a strong advantage
Experience with multimodal models (vision-language, document AI, or audio), including data ingestion and grounded output
Advanced proficiency in Python, including asynchronous programming, typing, testing, packaging, and observability
ability to navigate large codebases and maintain code hygiene
Fluent communication in English

Job Responsibility

Architect agentic systems, including planning, memory, tool integration, multi-agent delegation, evaluation loops, and guardrails
Drive model capability into production by designing prompt and context strategies, tool interfaces, retrieval and reranking methods, structured output, streaming, and evaluation across text and multimodal inputs
Lead evaluation efforts by building offline evaluation sets, online LLM-as-judge loops, and regression harnesses
Optimize system performance through prompt caching, batching, speculative decoding, model routing, token budget management, and meeting latency targets
Contribute to upstream development by reading SDK source code, submitting pull requests to open-source agent frameworks, and providing clear bug reports for vendor orchestration services
Mentor team members through design reviews, code reviews, and technical writing, setting high standards for agent system development

What we offer

Competitive salary
13th-month salary
14+ annual leaves per year
Premium healthcare insurance, starting from your probation period
Project reviews and yearly performance appraisals
Annual company trip
Teambuilding activities: Team lunch/dinner, events, and celebrations, sports clubs (football, basketball, badminton, pickleball)
International team with flexible working time
Tailor-made career path
Technical workshops and training courses

Fulltime

Senior AI Engineer

Our client is a prominent, globally recognized organization. They are expanding ...

Location

United States , Los Angeles

Salary:

150000.00 - 180000.00 USD / Year

Career Movement

Expiration Date

Until further notice

Requirements

Strong Python engineering background with production application experience
Hands on experience building or deploying ML or GenAI systems
Solid understanding of the full development lifecycle, from prototyping to production
Ability to work cross functionally and communicate technical tradeoffs clearly
Comfortable operating in structured, high expectation environments

Job Responsibility

Build and ship production grade AI systems that modernize core business processes
Build full stack ML and GenAI applications and workflows that directly impact how the organization operates
Work within a focused engineering team, taking ownership of technical delivery from design through deployment

Fulltime

Senior AI Engineer

About the AI Platform Team The AI Platform Team enables Awin teams to build, sh...

Location

Netherlands; Germany; Romania; United Kingdom; Spain; Italy; Poland , Amsterdam; Berlin; Hannover; Iași; London; Madrid; Milano; München; Warsaw

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

Strong software engineering fundamentals and experience working on production systems
Practical experience in security, governance, privacy, compliance, or risk-related engineering work
Clear hands-on experience applying those controls to AI- or LLM-powered systems
Strong understanding of AI-specific risks, including privacy exposure, PII handling, unsafe outputs, provider/model risk, and misuse or abuse patterns
Experience translating policy or risk requirements into practical engineering controls, patterns, or defaults
Good understanding of how to make AI systems observable, auditable, and safer to operate in production
Ability to work effectively with engineers, architects, and non-engineering stakeholders such as Security or Legal
Good practical experience with Python and/or JavaScript / TypeScript
Comfortable working across the lifecycle of a platform capability, from design and implementation to rollout and iteration
Good understanding of information security and how to design solutions with security in mind

Job Responsibility

Define and improve practical guardrails and safe defaults for AI-powered systems
Help shape Awin's approach to privacy, PII handling, and data-safe patterns for AI workflows
Contribute to approved provider and model guidance, including practical validation and usage expectations
Work with engineers to translate policy, risk, and governance needs into reusable platform patterns and engineering controls
Help define production-ready expectations for AI systems from a safety, governance, and risk perspective
Contribute to readiness checks, automated validations, and scalable governance mechanisms that reduce reliance on manual approval processes
Help improve logging, tracing, and observability practices so AI systems are auditable and safer to operate
Partner closely with Security, Legal, Architecture, and product engineering teams to ensure standards are practical and proportionate
Support teams in understanding AI-specific risks such as unsafe outputs, provider misuse, privacy exposure, and poor trace hygiene
Write clear documentation, patterns, and guidance that help teams apply standards consistently

What we offer

Flexi-Week and Work-Life Balance: flexible four-day Flexi-Week at full pay and with no reduction to annual holiday allowance
variety of different paid special leaves
Remote Working Allowance: monthly allowance to cover part of running costs
support in setting up remote workspace
Flexi-Office: international culture and flexibility through Flexi-Office and hybrid/remote work possibilities
Meal Vouchers: net sum to spend on lunches
Health & Wellbeing: insurance covering several types of health, vision and/or dental treatments for employee and up to one additional family member
Remote Working Furniture Package: after 3 months of employment, eligible for furniture package

Fulltime

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