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TechLabs London

<div>
 
 About TechLabs London:
 
 
 
 At TechLabs London, we build cutting-edge digital products that power smarter, more connected organizations. Our flagship solution is transforming housing management with modern cloud technology, intuitive design, and seamless integration. We are now embedding
 
 AI and intelligent automation
 
 across our platforms &mdash; and this role is at the center of that mission. We&rsquo;re looking for a driven and creative
 
 AI Engineer
 
 to lead this charge with us, to deliver production-ready AI features, predictive analytics, and computer vision tools that unlock real business value.
 
 
 
 Job Purpose:
 
 As an AI Engineer you&rsquo;ll be responsible for the development, deployment, and optimisation of advanced AI and ML capabilities within TechLabs London. You will collaborate with cross-functional teams to embed intelligent solutions into our existing product suite and shape the next generation of AI-powered features across our platforms. This role is perfect for someone who&rsquo;s passionate about building practical AI solutions and wants to see their work improve lives, save time, and power decisions. You&rsquo;ll help the business translate complex challenges into intelligent, scalable solutions.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design and build end-to-end AI pipelines across use cases such as predictive modelling, NLP, computer vision, and conversational AI.
 </li>
 <li>
 Design, develop and deploy conversational AI solutions using LLMs and agentic frameworks (e.g. LangChain, LangGraph), including RAG pipelines, intent classification, entity extraction, and multi-turn dialogue management.
 </li>
 <li>
 Apply computer vision to extract intelligence from images and videos for detection, classification, and automation.
 </li>
 <li>
 Develop time-series models that analyze behavior and generate predictive.
 </li>
 <li>
 Experiment with foundational models and fine-tune them for specific tasks relevant to our domain.
 </li>
 <li>
 Integrate models into production by working with our developers to deploy solutions into our products and beyond.
 </li>
 <li>
 Architect and build scalable, secure, and reusable ML APIs, workflows, and pipelines using modern MLOps practices and containerisation (Docker).
 </li>
 <li>
 Translate business problems into data-driven solutions, working closely with product, customer success, and engineering teams.
 </li>
 <li>
 Champion AI-first thinking across the company, supporting POCs, internal tooling, and customer-facing features.
 </li>
 <li>
 Collaborate with internal developers, product managers, domain experts, and external stakeholders to ensure solutions are feasible, maintainable, and impactful, as well as to define data strategies and model objectives.
 </li>
 <li>
 Conduct rigorous A/B testing and model evaluation.
 </li>
 <li>
 Support the integration of models into production systems using APIs and microservices.
 </li>
 <li>
 Stay abreast of advancements in AI/ML research and apply relevant breakthroughs to ongoing projects.
 
 
 
 </li>
 </ul>
 
 Skills and Experience:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, Software Engineering, Computer Science, or related field.
 </li>
 <li>
 Proven experience building and deploying LLM-powered applications, including RAG pipelines and conversational agents.
 </li>
 <li>
 Hands-on experience with LangChain or similar agentic frameworks (LangGraph, AutoGen, or equivalent).
 </li>
 <li>
 Strong proficiency in Python and relevant ML libraries (e.g. pandas, scikit-learn, PyTorch, spaCy, Hugging Face, OpenCV etc.)
 </li>
 <li>
 Experience with cloud platforms &mdash; Azure is our primary platform (preferred); AWS or GCP also considered.
 </li>
 <li>
 Containerization and orchestration: Docker, Docker Compose.
 </li>
 <li>
 Solid understanding of data modelling, feature engineering, and data warehousing concepts.
 </li>
 <li>
 Strong knowledge of SQL and experience with relational and/or vector databases (e.g. pgvector, Pinecone, Weaviate).
 </li>
 <li>
 Proficiency in version control, CI/CD, and model deployment practices.
 </li>
 <li>
 Experience integrating AI models into web or mobile applications is highly valued.
 </li>
 <li>
 Experience with MLOps tools like MLflow, Airflow, DVC.
 </li>
 <li>
 Familiarity with MCP Server (Model Context Protocol) for building tool-augmented AI agents is a plus.
 
 
 
 </li>
 </ul>
 
 Mindset &amp; Soft Skills:
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking &mdash; able to translate messy real-world data into measurable solutions.
 </li>
 <li>
 Pragmatic and delivery-oriented &mdash; capable of balancing technical innovation with business impact.
 </li>
 <li>
 Communicative and collaborative &mdash; comfortable working across teams and disciplines.
 </li>
 <li>
 Self-driven &mdash; able to manage time, priorities, and project ownership in a fast-moving team.
 </li>
 <li>
 Knowledge of data governance, bias mitigation, and explainable AI techniques.
 </li>
 </ul>
</div>

AI& Data Engineer (Hybrid)

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Your day-to-day missions
 </li>
 <li>
 You contribute to the design, deployment and operation of AI platforms, ensuring reliability, scalability and security in production environments.
 </li>
 <li>
 You work closely with data scientists, data engineers and infrastructure teams to industrialize AI use cases on cloud and hybrid platforms.
 </li>
 <li>
 You implement and maintain the tooling and pipelines required for model training, evaluation, deployment and monitoring (MLOps).
 </li>
 <li>
 You help automate and standardize platform services (templates, CI/CD, infrastructure as code) to accelerate delivery while keeping quality high.
 </li>
 <li>
 You participate in incident analysis and continuous improvement of the AI platform, contributing to a strong reliability and performance culture.
 </li>
 <li>
 Occasional missions and example projects
 </li>
 <li>
 You may contribute to the rollout of new AI platform features (for example, GPU-based training environments, feature stores or model registries).
 </li>
 <li>
 You can be involved in migration projects to new cloud services or new AI frameworks, in collaboration with architecture and security teams.
 </li>
 <li>
 You may participate in internal communities of practice, tech talks or proof-of-concept projects around emerging AI technologies.
 </li>
 <li>
 Skills you will develop This position offers you the opportunity to deepen your expertise in AI platform engineering, from build to run. You will strengthen your skills in cloud environments, containerization, MLOps and observability, while gaining experience on real-life, large-scale AI use cases. You will also develop your ability to collaborate with cross-functional teams, translate data science needs into robust platform services, and grow your autonomy and technical leadership in an international and agile environment.
 </li>
 <li>
 Benefits of the role You will work at the heart of Orange Business&rsquo; AI platforms, contributing directly to projects that matter for our customers and internal stakeholders. You will evolve in a modern, cloud-centric environment, with access to cutting-edge AI and platform technologies. You will benefit from a flexible working environment and a culture that values continuous learning, knowledge sharing and innovation.
 </li>
 <li>
 Career perspectives In the medium term, this role can open up opportunities towards more senior positions such as Senior AI Platform Engineer, MLOps Lead or Platform Tech Lead. You will also be able to move towards roles focused on architecture or technical leadership on AI and data platforms, depending on your aspirations and strengths.
 </li>
 <li>
 The team You will join an international team combining diverse expertise in data, AI, cloud and platform engineering. You will work on visible and impactful projects, in an environment that encourages collaboration, technical excellence and mutual support. You will be surrounded by colleagues who are keen to share knowledge and help you grow.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Experience and education |You have between 3 and 5 years of professional experience in a relevant technical role (for example: platform engineer, DevOps engineer, data/ML engineer, software engineer) and hold at least a Bachelor&rsquo;s or Master&rsquo;s degree (or equivalent) in computer science, engineering or a related field.
 </li>
 <li>
 Your hard skills
 </li>
 <li>
 Good knowledge of cloud environments (AWS, Azure or GCP) and their managed services for data and AI.
 </li>
 <li>
 Solid experience with containers and orchestration (Docker, Kubernetes) in production contexts.
 </li>
 <li>
 Hands-on experience with CI/CD and DevOps practices (Git, pipelines, infrastructure as code such as Terraform/Ansible, monitoring/logging tools).
 </li>
 <li>
 Familiarity with AI and ML concepts and tools (for example Python-based ML stacks, model serving frameworks, MLOps tools) and a strong motivation to grow further in this area.
 </li>
 <li>
 Understanding of security, reliability and performance considerations for production platforms.
 </li>
 <li>
 Your soft skills You are a team player with good communication skills, able to collaborate smoothly with data scientists, engineers and operations teams. You show rigor, curiosity and a strong willingness to learn, especially in a fast-evolving AI and cloud ecosystem. You are comfortable taking ownership of problems, proposing solutions and iterating in an agile way. Your mindset combines pragmatism and a desire for quality, allowing you to deliver reliable services while continuously improving them.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

AI Platform Engineer

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 
 About the AI Factory Team
 
 
 
 The
 
 AI Factory
 
 team builds intelligent software tools and platforms that empower our business teams &mdash; including
 
 Marketing, Operations, and Sales
 
 &mdash; to leverage AI for productivity, automation, and data-driven decision-making.
 
 
 
 Role Overview
 
 
 
 We&rsquo;re looking for a
 
 Software Engineer with strong AI/ML experience
 
 to join our AI Factory team.
 
 
 You&rsquo;ll work on designing, developing, and deploying scalable, production-grade applications that integrate
 
 Large Language Models
 
 ,
 
 Generative AI
 
 , and
 
 data pipelines
 
 .
 
 
 You will collaborate closely with data scientists, AI researchers, and business stakeholders to turn ideas into impactful AI-powered software products.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop end-to-end AI-powered applications and internal tools for business teams.
 </li>
 <li>
 Build and maintain full-stack applications using React (frontend) and Python/FastAPI (backend).
 </li>
 <li>
 Implement and optimize LLM-based systems, including RAG pipelines, prompt engineering, and model integration.
 </li>
 <li>
 Collaborate with AI/ML engineers to productionize models and integrate them into user-facing products.
 </li>
 <li>
 Deploy, monitor, and maintain applications using Docker and Kubernetes.
 </li>
 <li>
 Contribute to the AI Factory platform by developing reusable components, APIs, and SDKs.
 </li>
 <li>
 Ensure software quality through testing, CI/CD pipelines, and DevOps best practices.
 </li>
 <li>
 Stay updated on the latest trends in AI/ML, Generative AI, and LLM frameworks (LangChain, LlamaIndex, etc.).
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 About you
 
 
 
 <ul>
 <li>
 3+ years of professional experience as a Software Engineer.
 </li>
 <li>
 Strong full-stack development skills:
 </li>
 <ul>
 <li>
 Frontend: React, TypeScript/JavaScript.
 </li>
 <li>
 Backend: Python (FastAPI or Flask).
 </li>
 </ul>
 <li>
 Proven experience building AI-driven applications, especially with LLMs, Generative AI, or RAG systems.
 </li>
 <li>
 Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of RESTful APIs, microservices, and system design.
 </li>
 <li>
 Strong problem-solving skills, with a collaborative and pragmatic mindset.
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar LLM frameworks.
 </li>
 <li>
 Knowledge of vector databases (e.g., PostgreSql, Pinecone, Weaviate, FAISS).
 </li>
 <li>
 Exposure to MLOps and AI model lifecycle management.
 </li>
 <li>
 Familiarity with prompt engineering and AI agent frameworks.
 
 
 </li>
 </ul>
 Experience building internal tools or platforms for cross-functional teams
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Full Stack AI Software Engineer

Link Datacenter

<div>
 
 
 Job Title: Artificial Intelligence Consultant
 
 
 
 
 Role Overview
 
 
 
 The Artificial Intelligence Consultant is responsible for developing and deploying Conversational AI solutions (chatbots and voicebots), using LLMs, Agentic AI, and NLU models. This role executes technical implementations and integrations across environments, ensuring compliance with standards and best practices.
 
 
 It combines expertise in prompt engineering, knowledge base structuring, and system integration to enable end-to-end automation and continuous improvement. The Artificial Intelligence Consultant also ensures safe and reliable model behavior, performs fine-tuning, proactive monitoring, and performance optimization, and oversees STT/TTS configuration and maintenance to guarantee high-quality voice and seamless telephony integration.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Voicebot and Chatbot technical implementation and deployment.
 </li>
 <li>
 Responsible for system integrations for seamless automation across platforms.
 </li>
 <li>
 Ensure safe and reliable AI models by implementing safeguards and governance measures.
 </li>
 <li>
 Engineer and refine prompts to guide LLM behavior and ensure precise, context-aware, and business-aligned responses.
 </li>
 <li>
 Structure knowledge bases technically to ensure accurate and context-aware responses.
 </li>
 <li>
 Configure and maintain STT/TTS systems, ensuring high-quality voice performance.
 </li>
 <li>
 Participate in and support telephony integration for voicebots.
 </li>
 <li>
 Conduct technical documentation analysis and feasibility checks:
 </li>
 <li>
 Assess technical feasibility and architecture constraints
 </li>
 <li>
 Evaluate integrations, APIs, data sources, and platform capabilities
 </li>
 <li>
 Define initial system architecture and dependencies
 </li>
 <li>
 Apply LLM and Agentic AI best practices for hybrid bots (NLU + LLM).
 </li>
 <li>
 Handle development required to support user experience and new integrations.
 </li>
 <li>
 Document architectures, configurations, and deployment processes.
 </li>
 <li>
 Detect and mitigate technical risks and issues.
 </li>
 <li>
 Collaborate with cross-functional teams including Conversational Designers, Delivery Managers, Data Analysts, and business stakeholders.
 </li>
 </ul>
 
 
 Requirements (Must Have)
 
 
 <ul>
 <li>
 Knowledge of Conversational AI, including LLMs and NLU.
 </li>
 <li>
 Degree or background in Engineering or Software Development.
 </li>
 <li>
 Experience with Conversational AI platforms and deploying AI bots.
 </li>
 <li>
 Experience with speech technologies (STT &amp; TTS).
 </li>
 <li>
 Experience in deployment and system integration (APIs, platforms).
 </li>
 <li>
 Experience in prompt engineering.
 </li>
 <li>
 Ability to document architectures, configurations, and deployment procedures clearly.
 </li>
 <li>
 Fluent in written and spoken English.
 </li>
 </ul>
 
 
 Technical Stack &amp; Tools
 
 
 <ul>
 <li>
 Programming: Python, JavaScript, TypeScript
 </li>
 <li>
 Data Formats: JSON, YAML
 </li>
 <li>
 Databases: SQL / NoSQL
 </li>
 <li>
 Integrations: REST APIs, Webhooks, OAuth Authentication
 </li>
 </ul>
 
 
</div>

Artificial Intelligence Consultant

Integrant, Inc.

<div>
 Integrant is looking for game changers to join our team as " Lead AI Platform".
 
 
 The Lead AI Platform Engineer is responsible for bridging AI workloads with production-grade infrastructure, with a strong focus on NVIDIA AI stack, enabling high-performance, scalable, and optimized AI systems.
 
 
 This role focuses on model optimization, runtime efficiency, and GPU utilization, ensuring that AI workloads are production-ready, cost-efficient, and performant across enterprise environments.
 
 
 
 Roles and Responsibilities:
 
 
 
 <ul>
 <li>
 Translate AI/ML workloads into optimized infrastructure and deployment strategies
 </li>
 <li>
 Optimize model performance across GPU environments (latency, throughput, memory utilization)
 </li>
 <li>
 Design and implement inference and training pipelines using NVIDIA stack tools (TensorRT, Triton, NIM)
 </li>
 <li>
 Convert and optimize models across frameworks (PyTorch &rarr; ONNX &rarr; TensorRT)
 </li>
 <li>
 Analyze and resolve performance bottlenecks using profiling tools (GPU, memory, network)
 </li>
 <li>
 Improve GPU utilization and scheduling efficiency across clusters
 </li>
 <li>
 Design scalable distributed training and inference architectures
 </li>
 <li>
 Work closely with customers to define AI infrastructure strategies and deployment models
 </li>
 <li>
 Support production deployments including monitoring, rollback, and performance validation
 </li>
 <li>
 Conduct applied research to improve model efficiency and infrastructure utilization
 </li>
 <li>
 Mentor team members on AI infrastructure, optimization, and GPU systems
 </li>
 <li>
 Experiment tracking tools (MLflow, W&amp;B, Neptune) log parameters, metrics, and artifacts for comparison
 </li>
 <li>
 Find the Model degradation happens post-deployment: concept drift, data pipeline changes, traffic pattern shifts
 </li>
 <li>
 Root cause analysis (RCA) applies to ML systems: isolating variables, reproducing issues
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 8+ years of experience in AI systems
 </li>
 <li>
 8+ years of experience in ML systems, HPC and AI infrastructure
 </li>
 <li>
 Strong proficiency in Python
 </li>
 <li>
 Strong experience with GPU-based AI workloads and performance optimization
 </li>
 <li>
 Deep understanding of model optimization techniques (quantization, pruning, batching)
 </li>
 <li>
 Hands-on experience with:
 </li>
 <li>
 PyTorch
 </li>
 <li>
 ONNX / ONNX Runtime
 </li>
 <li>
 TensorRT / TensorRT-LLM
 </li>
 <li>
 Triton Inference Server
 </li>
 <li>
 Knowledge of CUDA, cuDNN, and GPU architecture fundamentals
 </li>
 <li>
 Experience with distributed systems (multi-GPU / multi-node)
 </li>
 <li>
 Familiarity with:
 </li>
 <li>
 NCCL communication
 </li>
 <li>
 NVLink / InfiniBand
 </li>
 <li>
 Kubernetes or Slurm for orchestration
 </li>
 <li>
 Experience deploying AI models into production environments
 </li>
 <li>
 Ability to analyze system bottlenecks (compute, memory, network)
 </li>
 <li>
 Experience with profiling tools (Nsight, TensorRT profiler, etc.)
 </li>
 <li>
 Knowledge of cost optimization strategies for GPU workloads
 </li>
 <li>
 Experiment tracking tools (MLflow, W&amp;B, Neptune) log parameters, metrics, and artifacts for comparison
 </li>
 <li>
 Find the Model degradation happens post-deployment: concept drift, data pipeline changes, traffic pattern shifts
 </li>
 <li>
 Root cause analysis (RCA) applies to ML systems: isolating variables, reproducing issues
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with NVIDIA NIM and NGC ecosystem
 </li>
 <li>
 Exposure to Megatron-LM, NeMo, or large-scale LLM training/inference
 </li>
 <li>
 Experience with LLM optimization techniques (KV cache, batching strategies)
 </li>
 <li>
 Familiarity with MLOps practices and CI/CD for AI systems
 </li>
 <li>
 Experience in customer-facing architecture or consulting roles
 </li>
 <li>
 Familiarity with hybrid cloud / on-prem HPC environments
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Salary paid in USD
 </li>
 <li>
 Six-month career advancing opportunities
 </li>
 <li>
 Supportive and friendly work environment
 </li>
 <li>
 Premium medical insurance [employee +family]
 </li>
 <li>
 English language development courses
 </li>
 <li>
 Interest-free loans paid over 2.5 years
 </li>
 <li>
 Technical development courses
 </li>
 <li>
 Planned overtime program (POP)
 </li>
 <li>
 Employment referral program
 </li>
 <li>
 Premium location in Maadi
 </li>
 <li>
 Social insurance
 </li>
 </ul>
</div>

Lead AI Platform

Finaira

<div>
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives.
 
 
 
 Focus:
 
 End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineer
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What you will bring to the role:
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 <ul>
 <li>
 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes)
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures
 </li>
 <li>
 Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership
 </li>
 <li>
 Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives
 </li>
 <li>
 Strong mentoring and coaching skills, with a passion for developing the talents of junior team members
 </li>
 <li>
 Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Principal AI Engineer

YO IT Consulting

<div>
 
 Job Title:
 
 AI/ML Engineer
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Job Summary
 
 
 
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
 </li>
 <li>
 Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
 </li>
 <li>
 Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
 </li>
 <li>
 Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
 </li>
 <li>
 Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
 </li>
 <li>
 Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
 </li>
 <li>
 Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
 </li>
 <li>
 Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
 </li>
 <li>
 Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
 </li>
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 Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
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 Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
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 Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
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 Exceptional written and verbal communication skills for effective collaboration and documentation.
 
 
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 </ul>
 
 Preferred Qualifications
 
 
 
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 Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
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 Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
 </li>
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 Prior exposure to government or highly regulated cloud environments and compliance standards.
 </li>
 </ul>
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AI/ML Engineer - Remote

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