ai engineer

eSense

<div>
 Position Overview
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  Mid-Level AI Engineer with strong hands-on experience in end-to-end AI system development, specializing in on-premises and private cloud AI deployments. This role focuses on building production-grade AI solutions using primarily local models, optimizing GPU-based training and fine-tuning pipelines, and developing scalable RAG, agentic, multimodal, and speech-enabled systems.
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 Key Responsibilities&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Analyze requirements and contribute to technical AI solution design.
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  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong programming skills in Python (mandatory).
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  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in backend development (APIs, microservices, model serving).
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  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Hands-on experience with local LLM deployment and optimization.
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  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in RAG system design and vector databases.
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  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Practical experience in model fine-tuning (LoRA / PEFT).
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  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Solid understanding of: Transformer architecture, quantization techniques, and embeddings with retrieval.
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  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience working in Linux environments.
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  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Participate in peer code reviews and team planning activities.
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  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Provide task estimations and deliver within approved timelines.
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  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Apply secure coding practices and participate in bug resolution with quality metrics in mind.
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 Qualifications
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  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Bachelor&rsquo;s degree in computer science, Artificial Intelligence, Data Science, or related discipline.
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  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;2-5 years of experience in AI Engineering.
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  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proficiency in C#, .NET Core and Python.
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  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with Structured and Unstructured databases.
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  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with Angular or other frontend technologies is a strong plus.
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  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Working knowledge of relational databases (i.e., SQL Server) and non-relational databases (i.e., Qdrant)
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  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Familiarity with Git, RESTful services, and Agile development methodologies
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</div>


AI Engineer

Trailhead Biosystems Inc.

<p><b>About Us</b></p><p>Trailhead Biosystems merges developmental biology with computerized experimental design to develop novel iPSC research products. Trailhead Biosystems is the pioneer of High-Dimensional Design-of-Experiment (HD-DoE&reg;), a powerful platform that differentiates human induced pluripotent stem cells (iPSCs) into virtually any desired cell type with unparalleled precision and efficiency. We are moving beyond traditional trial-and-error methods by implementing Quality by Design (QbD) principles and utilizing DoE combined with Multivariate Data Analysis (MVDA).</p><p>We are seeking a forward-thinking AI Engineer to join our R&amp;D team and help build the intelligent systems that drive our cellular engineering workflows.</p><p><b>Why Join Us?</b> As an AI Engineer at Trailhead, you will not just be managing data; you will be part of a team that is revolutionizing how we explore cell biology, using intelligent systems to direct human iPSC differentiation with unprecedented reproducibility and accuracy</p><ul><li>Generate Computer-Based Experimental Designs: Drive advanced cell culture workflows through AI-supported design, drastically reducing the time and number of experiments needed for optimization.</li><li>Model Biological Complexity: Mathematically model the effector/response space to perform virtual experiments, allowing us to predict how specific additives will create desirable cell culture fates before physical testing.</li><li>Decipher Gene Expression: Gain deep knowledge into how culture conditions affect gene expression, addressing complex optimization challenges regarding cell purity and potency.</li><li>Master Manufacturing Variance: Use data-driven insights to understand and control variance in cell manufacturing methods, ensuring consistent, high-quality outcomes.</li></ul><p><b>The Role </b></p><p>As an AI Engineer, you will be instrumental in deploying Agentic AI frameworks that can reason, plan, and execute complex scientific tasks. You will build autonomous multi-agent systems capable of analyzing proprietary biological data, managing knowledge graphs, and optimizing experiments. Working within a robust Azure cloud architecture, you will turn research concepts into production-grade tools that empower our scientists to work faster and smarter.</p><p><b>Responsibilities</b></p><ul><li>Cross-Functional Collaboration: Partner closely with research scientists, biologists, and product managers to translate complex scientific challenges into actionable technical requirements and scalable AI solutions.</li><li>Develop Agentic AI Solutions: Design and build autonomous AI agents that leverage our proprietary biological datasets to automate complex analytical workflows, from experimental design to data interpretation.</li><li>Fine-Tune Domain-Specific Models: Fine-tune open-weights models (e.g., Llama, Mistral) on our proprietary biological datasets to create specialized models capable of understanding cell differentiation pathways and effector-response relationships.</li><li>Proprietary Data Architecture &amp; UI: Architect, build and maintain a secure proprietary database and automated data ingestion pipelines (ETL/ELT), while developing intuitive user-friendly interfaces and APIs that help scientists to easily query, visualize, and interact with our proprietary data.</li><li>Build &amp; Maintain Knowledge Graphs: Integrate GenAI models with graph databases (e.g., Neo4j) to map complex relationships between cell lines, reagents, and genetic markers, enabling the AI to perform deep reasoning over structured biological data.</li><li>Orchestrate Multi-Agent Systems: Design and implement sophisticated multi-model, multi-agent architectures using state-of-the-art frameworks such as  LangChain, LangGraph, or  CrewAI. Your systems will coordinate multiple specialized agents to solve multi-step problems collaboratively.</li><li>Production Deployment on Azure: Lead the deployment of AI solutions into a secure  Azure cloud environment. You will be responsible for setting up monitoring, ensuring observability (logging, tracing), and managing the lifecycle of models using MLOps best practices (e.g., Azure Machine Learning, MLflow).</li><li>RAG &amp; Information Retrieval: Implement Retrieval-Augmented Generation (RAG) pipelines to ground Large Language Models (LLMs) in our internal scientific corpus, ensuring high accuracy and reduced hallucinations in technical outputs.</li><li>Evaluation &amp; Benchmarking: Design, implement, and own automated LLM evaluation frameworks and benchmarking suites to quantify model accuracy, reliability, and business impact.</li><li>Guardrails &amp; Quality Assurance &amp; Policy Making: Establish and maintain robust guardrails, observability, and quality gates to mitigate hallucinations, ensure AI safety, and prevent jailbreaking. Help build policies, governance, and procedures.</li><li>Documentation: Create and maintain clear technical documentation, architecture diagrams, and runbooks to ensure system reproducibility and facilitate team knowledge sharing.</li><li>Ownership: Own end-to-end model performance and reliability across different systems, including continuous monitoring, logging, and regression testing.</li></ul><p><b>Qualifications &amp; Requirements </b></p><p>Education:</p><ul><li>Master&rsquo;s degree in Computer Science, Artificial Intelligence, Computational Biology or a related quantitative field.</li></ul><p>Experience:</p><ul><li>3-5 years of professional experience in software engineering with a dedicated focus on AI/ML.</li><li>2+ years of experience developing agentic AI systems and RAG pipelines using large language models, bringing prototypes through to scalable production.</li></ul><p>Technical Skills:</p><ul><li>Agentic Frameworks: Strong proficiency with orchestration frameworks like LangChain, LangGraph, CrewAI, Microsoft Semantic Kernel, or  AutoGen. Experience building agents that utilize tool calling and function execution is essential.</li><li>Programming: Expert-level fluency in Python and familiarity with modern software development practices (CI/CD, Git, containerization with Docker/Kubernetes).</li><li>Cloud Architecture: Demonstrated experience deploying scalable applications on Microsoft Azure. Familiarity with Azure OpenAI Service, Azure AI Search, and Azure Functions is highly preferred.</li><li>Data Engineering &amp; Knowledge Graphs: Experience designing schemas and querying graph databases (e.g., Neo4j, RDF/SPARQL) and working with vector databases (e.g., Pinecone, Weaviate, Milvus).</li><li>MLOps: Practical knowledge of model monitoring, evaluation frameworks (e.g., Ragas, LangSmith), and deploying models via REST APIs (FastAPI).</li></ul><p>Soft Skills:</p><ul><li>Ability to translate complex technical concepts for cross-functional teams, including biologists and lab scientists.</li><li>Strong problem-solving skills with a &quot;builder&quot; mindset, you enjoy taking projects from prototype to production.</li><li>Collaborative spirit with a desire to work in a fast-paced, research-driven environment.</li></ul><p>Nice to Have:</p><ul><li>Experience in biotechnology, pharmaceutical, or healthcare sectors.</li><li>Familiarity with biological data standards or bioinformatics workflows.</li></ul><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Parental leave</li><li>Vision insurance</li></ul><p>Work Location: In person</p>

Python Technologies

<p><b>Job Title:</b> AI Engineer (2+ Years Experience)<br/><b>Location:</b> Onsite &ndash; DHA Phase 2, Islamabad<br/><b>Job Type:</b> Full-time<br/><b>Working Hours:</b> 6:00 PM &ndash; 2:00 AM (Evening/Night Shift)</p><p><b>About the Role:</b><br/>We are looking for a skilled and motivated <b>AI Engineer</b> with at least <b>2+ years of hands-on experience</b> to join our team onsite at our DHA Phase 2 Islamabad office. You will be responsible for designing, developing, and deploying AI-powered solutions across various products and client projects. This role is ideal for someone who enjoys building real-world AI applications and working in a fast-paced environment.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, develop, and deploy AI/ML models and AI-driven applications</li><li>Build and integrate LLM-based features (chatbots, automation tools, AI assistants, etc.)</li><li>Work with APIs, vector databases, and model integrations</li><li>Optimize models for performance, scalability, and accuracy</li><li>Collaborate with product, backend, and frontend teams to deliver AI solutions</li><li>Conduct testing, evaluation, and continuous improvement of AI systems</li><li>Stay updated with the latest AI trends, tools, and frameworks</li></ul><p><b>Requirements:</b></p><ul><li>Minimum <b>2+ years of experience</b> in AI/ML or related field</li><li>Strong proficiency in <b>Python</b></li><li>Experience with <b>LLMs, OpenAI APIs, LangChain, or similar frameworks</b></li><li>Familiarity with <b>machine learning frameworks</b> (TensorFlow, PyTorch, etc.)</li><li>Experience with <b>REST APIs, databases, and cloud services</b></li><li>Understanding of prompt engineering, RAG pipelines, or AI automation workflows</li><li>Strong problem-solving and debugging skills</li><li>Good communication and teamwork abilities</li></ul><p><b>Nice to Have:</b></p><ul><li>Experience with vector databases (Pinecone, Weaviate, FAISS, etc.)</li><li>Experience deploying AI applications to production</li><li>Knowledge of Docker, CI/CD, or cloud platforms (AWS, GCP, Azure)</li></ul><p><b>What We Offer:</b></p><ul><li>Competitive salary based on experience</li><li>Opportunity to work on cutting-edge AI products</li><li>Growth-focused and collaborative environment</li><li>Long-term career opportunities</li></ul><p><b>Location &amp; Timing:</b><br/>This is a strictly <b>onsite position</b> at our office in <b>DHA Phase 2, Islamabad</b>.<br/>Working hours are <b>6:00 PM to 2:00 AM</b>.</p><p>Job Type: Full-time</p><p>Pay: Rs70,000.00 per month</p><p>Work Location: In person</p>

Contour Software

<div><div>About Contour</div><div></div><div><div>
Contour Software</div> has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.</div><div><br>
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.</div><div><br>
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!</div><div></div><div><div><div>
THE DIVISION:<br>
Campana Systems is an international leader in information solutions for the auto club industry. Since 1988, we have been enabling our clients to achieve their ongoing business objectives using our in-depth industry knowledge and trusted technology solutions. Our mission is to enable our auto club clients to achieve their strategic goals by providing leadership through effective innovative solutions and services.</div></div><div></div><div><div><br>
THE POSITION:<br>
We are expanding our AI capabilities and seeking an Intermediate AI Engineer who can contribute to the design, development, and deployment of AI-powered features. You will work closely with senior engineers and architects to build robust ML systems and assist developers company-wide with AI integration and best practices. The successful hire will work from the Contour Software Karachi/Lahore/Islamabad office as part of the resource-center team that is an extension of the division-based R&amp;D department.</div></div><div></div><div><div><br>
JOB RESPONSIBILITIES:</div></div><div><ul><li><div>
Implement and test ML/AI components according to design specifications.</div></li></ul></div><div><ul><li><div>
Contribute to building secure, cloud-based AI infrastructure and workflows.</div></li></ul></div><div><ul><li><div>
Integrate LLMs and other AI models into software products.</div></li></ul></div><div><ul><li><div>
Collaborate with cross-functional teams on data preprocessing, model deployment, and evaluation.</div></li></ul></div><div><ul><li><div>
Write clean, maintainable code and technical documentation.</div></li></ul></div><div><ul><li><div>
Provide practical implementation guidance to product and engineering teams.</div></li></ul></div><div><ul><li><div>
Participate actively in agile development processes and sprint planning.</div></li></ul></div><div></div><div><div><br>
REQUIRED QUALIFICATIONS:</div></div><div><ul><li><div>
Bachelor&rsquo;s in Computer Science, ML/AI, or related field.</div></li></ul></div><div><ul><li><div>
3+ years of experience in software development including ML/AI development and deployment.</div></li></ul></div></div><div><div><ul><li><div>
Experience with Python and ML libraries (scikit-learn, PyTorch, TensorFlow).</div></li></ul></div><div><ul><li><div>
Familiarity with LLMs and model integration (via APIs or frameworks).</div></li></ul></div><div><ul><li><div>
Working knowledge of cloud platforms and related AI services.</div></li></ul></div><div><ul><li><div>
Solid analytical problem-solving skills, with strong written and verbal communication.</div></li></ul></div><div></div><div><div><br>
GOOD TO HAVE:</div></div><div><ul><li><div>
Experience with MLOps tooling (e.g., MLflow, Kubeflow).</div></li></ul></div><div><ul><li><div>
Familiarity with AI governance and secure model deployment practices.</div></li></ul></div><div><ul><li><div>
Exposure to real-world production ML systems.</div></li></ul></div></div><div>
Exciting Benefits we offer:</div><ul><li><div>
Market-leading Salary</div></li><li><div>
Medical Coverage &ndash; Self &amp; Dependents</div></li><li><div>
Parents Medical Coverage</div></li><li><div>
Provident Fund</div></li><li><div>
Employee Performance-based bonuses</div></li><li><div>
Home Internet Subsidy</div></li><li><div>
Conveyance Allowance</div></li><li><div>
Profit Sharing Plan [Tenured Employees Only]</div></li><li><div>
Life Benefit</div></li><li><div>
Child Care Facility</div></li><li><div>
Company Provided Lunch/Dinner</div></li><li><div>
Professional Development Budget</div></li><li><div>
Recreational area for in-house games</div></li><li><div>
Sporadic On-shore training opportunities</div></li><li><div>
Friendly work environment</div></li><li><div>
Leave Encashment</div></li></ul><div></div><div><i>
Disclaimer:</i><i> At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.</i></div><div></div><div><i>
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</i></div></div><div></div>

Value Engineering

<p><b>Role Overview</b></p><p>Reporting to <b>AI Lead / Solution Architect</b>, this is a <b>senior technical leadership role</b> responsible for:</p><p>&middot; Designing and deploying <b>state-of-the-art LLMs and multi-modal AI models</b>.</p><p>&middot; Implementing <b>agentic AI systems with RAG, self-RAG, and memory-optimized architectures</b>.</p><p>&middot; Leading <b>cloud-based GPU LLM training pipelines</b>, including <b>data labeling, preprocessing, model training, and post-processing</b>.</p><p>&middot; Extending AI models into <b>front-end applications and back-end pipelines</b>.</p><p>&middot; Managing <b>staging, development, and production environments</b> with SSH deployment and editing.</p><p>Driving <b>complex problem-solving, critical thinking, and innovative AI solutions</b></p><p><b>Key Responsibilities</b></p><p>1. <b>LLM Cloud Training &amp; Pipelines (Mandatory)</b></p><p>&middot; Design and deploy <b>LLM training pipelines</b> on cloud GPU infrastructure.</p><p>&middot; Manage <b>data labeling, preprocessing, and post-processing</b> for training datasets.</p><p>&middot; Optimize <b>model training, memory usage, and inference efficiency</b>.</p><p>&middot; Implement <b>RAG-based pipelines, agentic RAG, and self-RAG</b> for knowledge augmentation.</p><p>2. <b>Deep Learning &amp; Model Development</b></p><p>&middot; Research, design, and implement <b>Transformers, Vision Transformers, Diffusion Models</b>.</p><p>&middot; Optimize <b>SAM models for tabular and image data</b>, including preprocessing and post-processing.</p><p>&middot; Implement <b>multi-modal AI pipelines</b> (text, image, video).</p><p>&middot; Develop <b>agentic AI models</b> with adaptive memory and reasoning.</p><p>3. <b>Agentic AI &amp; Orchestration</b></p><p>&middot; Design <b>agent frameworks</b> with orchestration, inter-agent communication, and protocol management.</p><p>&middot; Integrate <b>LangChain, LangGraph, or custom agent pipelines</b>.</p><p>&middot; Ensure AI agents are <b>robust, scalable, and production-ready</b>.</p><p>4. <b>Machine Learning for Real-World Data</b></p><p>&middot; Implement ML models for <b>tabular, image, and multi-modal data</b>.</p><p>&middot; Preprocess, normalize, and feature-engineer datasets for <b>SAM and other model types</b>.</p><p>&middot; Translate research models into <b>production pipelines with RAG augmentation</b>.</p><p>5. <b>Front-End &amp; Back-End AI Integration</b></p><p>&middot; Extend AI models into <b>front-end applications</b> (interactive AI features).</p><p>&middot; Integrate AI models into <b>back-end services</b> for low-latency inference.</p><p>&middot; Ensure seamless integration between AI models and application architecture.</p><p>6. <b>Production AI Infrastructure &amp; Deployment</b></p><p>&middot; Deploy AI models on <b>MCP / GPU servers, distributed clusters, or cloud infrastructure</b>.</p><p>&middot; Manage <b>staging, dev, and production environments</b>, including SSH deployment, editing, and version control.</p><p>&middot; Implement monitoring and observability using <b>Prometheus, Grafana, and custom dashboards</b>.</p><p>&middot; Maintain CI/CD for AI models, training pipelines, and data workflows, including <b>Git/GitHub workflow management</b>.</p><p>7. <b>Research to Production Translation</b></p><p>&middot; Bring experimental AI models into <b>production-grade systems</b>.</p><p>&middot; Validate model performance, reliability, and safety.</p><p>&middot; Implement reproducibility, versioning, and automated retraining pipelines.</p><p>8. <b>Mentorship &amp; Leadership</b></p><p>&middot; Mentor junior AI engineers and researchers.</p><p>&middot; Establish <b>best practices</b> for AI experimentation, deployment, and RAG/agentic architectures.</p><p>&middot; Contribute to <b>AI roadmap and enterprise AI strategy</b>.</p><p><b>Required Experience</b></p><p>&middot; 5+ years AI / Deep Learning / Research &amp; Production experience.</p><p>&middot; <b>Mandatory:</b> Hands-on experience in <b>LLM training pipelines</b>, including <b>cloud GPU infrastructure, data labeling, preprocessing, training, and post-processing</b>.</p><p>&middot; Deep knowledge of <b>Neural Networks, Transformers, LLMs, Vision Transformers, Diffusion Models, Agentic AI, RAG/self-RAG pipelines</b>.</p><p>&middot; Hands-on experience with <b>SAM models</b>, <b>tabular data ML</b>, and preprocessing pipelines.</p><p>&middot; Experience managing <b>staging, dev, and production environments</b> with <b>SSH deployment, editing, and Git/GitHub workflow</b>.</p><p>&middot; Strong <b>Computer Vision and Image Processing</b> skills.</p><p>&middot; Experience with <b>agent orchestration, LangChain, LangGraph, and protocol optimization</b>.</p><p>&middot; Proven <b>problem-solving, critical thinking, and innovative AI solution delivery</b>.</p><p>&middot; Experience integrating AI into <b>front-end and back-end systems</b>.</p><p><b>Preferred Experience</b></p><p>&middot; Experience with <b>generative AI, diffusion models, multi-modal agents</b>.</p><p>&middot; Optimizing <b>LLM memory, inference, and fine-tuning at scale</b>.</p><p>&middot; Experience in <b>production RAG pipelines and knowledge-augmented AI systems</b>.</p><p>Application Question(s):</p><ul><li>Are you available to work from 2:00 PM &ndash; 11:00 PM shift Monday to Friday with alternate Saturday?</li></ul><ul><li>Are you comfortable working onsite from Bahria Phase 4, Rawalpindi?</li></ul><ul><li>How many years of experience do you have as a  AI Engineer??</li></ul><p>Work Location: In person</p>

Deeplight

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.</p><p>
The Artificial Intelligence (AI) Engineer is a specialist role focused on the engineering, deployment, and scaling of advanced AI systems to drive the Bank&rsquo;s digital and operational transformation. This position is responsible for building the robust technical foundations required for enterprise-grade applications, including Conversational AI agents, operations automation, and Generative AI initiatives. By developing high-performance pipelines and reusable components, you will ensure that AI products are reliable, compliant, and capable of delivering next-generation experiences for both customers and employees.</p><p></p><p>
As the AI Engineer with Deeplight, your responsibilities will include:</p><p></p><ul><li>
Building and scaling next-generation Conversational AI platforms (voice and chat) using LLM-based agents and multi-agent orchestration frameworks.</li><li>
Developing automation agents for critical banking functions such as KYC, compliance, risk monitoring, and customer service.</li><li>
Implementing Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases and knowledge graphs to power enterprise search.</li><li>
Model Optimization: Design and refine prompts to optimize LLM performance and apply advanced parameter-efficient fine-tuning techniques.</li><li>
Operationalizing embedding models and custom ML solutions by building APIs, SDKs, and CI/CD pipelines with automated retraining and drift management.</li><li>
Establishing engineering standards for model fairness, security, explainability, and disaster recovery to ensure operational resilience.</li><li>
Acting as an analytics translator, identifying opportunities for leveraging data to solve complex business problems across functional teams.</li></ul><p></p><p>
As an AI consultancy, our greatest asset is the expertise of our people.<br>
</p><p><br>
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.<br>
</p><p><br>
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.<br>
</p><p><br>
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.<br>
</p><p><br>
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</p><b><br>
Requirements</b><p><br>
What we need from you:</p><ul><li><ul><li>
Bachelor&rsquo;s degree in a quantitative field (Computer Science, AI, Software Engineering, or Mathematics); a Master&rsquo;s degree in AI/ML is highly preferred.</li><li>
5+ years in AI/ML engineering or large-scale digital product engineering, ideally within a major digital transformation or digital-only bank project.</li><li>
Proven experience deploying large-scale AI/ML solutions within a regulated environment (Banking or Financial Services preferred).</li><li>
Hands-on experience with MLOps tools (MLflow, CI/CD) and data visualization platforms (Tableau, Power BI)</li><li>
Expert-level programming in Python specifically for ML/AI engineering and Generative AI applications.</li><li>
Deep knowledge of transformer models, multimodal architectures, and agentic AI systems (multi-agent frameworks/human-in-the-loop).</li><li>
Expertise in vector databases (Pinecone, Weaviate, Milvus), knowledge graphs, and both SQL/NoSQL systems (Postgres, MongoDB).</li><li>
Proficiency in Azure AI Foundry or AWS SageMaker, including serverless deployments (Lambda/Azure Functions) and containerization (Docker, Kubernetes).</li><li>
Deep understanding of LLM evaluation metrics and observability frameworks for monitoring agentic workflows.</li></ul></li></ul><p><br>
It would also be beneficial if you have experience of the following:</p><p></p><ul><li>
Ability to quickly build and test AI prototypes while maintaining a focus on enterprise-grade security and compliance.</li><li>
Active engagement in the AI community with a track record of evaluating emerging tools like LangChain, CrewAI, and Bedrock.</li><li>
Exceptional communication skills to bridge the gap between technical requirements and business objectives for non-technical stakeholders.</li><li>
Deep understanding of emerging trends such as Reinforcement Learning from Human Feedback (RLHF) and multimodal AI.</li></ul><br>
<b>
Benefits</b><p><b><br>
Benefits &amp; Growth Opportunities:</b></p><ul><li>
Competitive salary.</li><li>
Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li><li>
Opportunity to work on cutting-edge AI projects.</li><li>
Career advancement opportunities in a rapidly growing AI company.</li></ul><p></p><p>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</p><p>
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.</p><p>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</p><p>
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</p></div><p></p>

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