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ai & digital growth engineer

ai data engineer

Edge

<div>
 
 
 About Edge
 
 
 
 Edge helps medical, dental, and insurance organizations scale faster and operate more efficiently by providing pre-vetted, global talent to handle mission-critical administrative work: documentation, scheduling, billing, claims, and more. We combine rigorous training with a people-first approach, so our clients can focus on customer experiences while we handle the rest.
 
 
 We combine data-driven sourcing strategies with deep industry expertise to deliver results that go beyond resumes. We&rsquo;re now expanding our sales development team to accelerate growth and that&rsquo;s where you come in.
 
 
 
 
 
 
 About the role:
 
 
 
 We are hiring an AI &amp; Data Engineer to design and deploy AI-powered business systems across sales, operations, HR, and compliance. You will report to the Manager, Data Platform and work within a small, high-impact team with direct visibility to the CEO.
 
 
 This role spans the full modern data + AI stack: building reliable data pipelines, owning product and marketing analytics (GA4), developing agentic AI workflows, and integrating systems across the business. It is suited for someone who operates at the intersection of data engineering, AI systems, and business execution&mdash;capable of building pipelines, shipping LLM-powered agents, and connecting everything into production systems that drive outcomes.
 
 
 
 
 
 
 What you'll do:
 
 
 <ul>
 <li>
 Build and maintain scalable data pipelines, ETL/ELT workflows, and warehouse/lakehouse data models that power analytics and AI systems, ensuring data quality, observability, and reliability across production flows
 </li>
 <li>
 Own GA4 end-to-end: event schema design, custom dimensions/metrics, conversion tracking, GTM (including server-side where applicable), and measurement strategy
 </li>
 <li>
 Pipe GA4 data into BigQuery and the warehouse; unify clickstream, product, CRM, operational, and financial data into a consistent view of the customer journey
 </li>
 <li>
 Partner with Marketing, Growth, and Product to define KPIs, funnels, attribution models, and audience segmentation; build dashboards and reporting that drive decision-making
 </li>
 <li>
 Maintain tracking governance including naming conventions, data layer standards, documentation, and privacy/consent compliance (e.g., GDPR-aligned practices)
 </li>
 <li>
 Design, build, and deploy agentic AI systems using orchestration frameworks (LangGraph, LlamaIndex, CrewAI, etc.), including RAG pipelines, tool use, memory, evaluation, and production LLM workflows
 </li>
 <li>
 Develop automation across core business functions (sales, operations, HR, compliance), including outbound sales workflows, account management, client health tracking, talent pipeline optimization, and market signal monitoring
 </li>
 <li>
 Integrate systems across Salesforce, HubSpot, Slack, email, GA4/GTM, and internal platforms using APIs, webhooks, and event-driven architectures
 </li>
 <li>
 Build and maintain reliable connectors and sync processes; monitor integrations, handle failures gracefully, and implement alerting and recovery mechanisms
 </li>
 <li>
 Support strategic and internal initiatives, including expansion efforts, workflow monitoring systems, and data-driven insight generation across business operations
 </li>
 </ul>
 
 
 
 
 
 What you'll need:
 
 
 <ul>
 <li>
 Strong data engineering fundamentals: pipelines, ETL/ELT, data modeling, and warehouse/lakehouse architectures
 </li>
 <li>
 Hands-on experience with GA4 (event design, GTM configuration, BigQuery export, and production-grade reporting)
 </li>
 <li>
 Experience building agentic AI systems (orchestration frameworks, RAG, tool use, LLM workflows in production environments)
 </li>
 <li>
 Solid understanding of APIs, integrations, and event-driven system design
 </li>
 <li>
 Proficiency in Python and SQL
 </li>
 <li>
 Experience with cloud infrastructure (AWS, GCP, or similar); BigQuery strongly preferred
 </li>
 <li>
 Experience working with business systems (e.g., Salesforce, HubSpot, communication tools, dashboards)
 </li>
 <li>
 Strong execution ability: breaking down ambiguous problems, operating across data + business contexts, and delivering production systems (not prototypes)
 </li>
 <li>
 High ownership, bias for action, and strong communication across technical and non-technical stakeholders
 </li>
 </ul>
 
 
 
 
 
 Nice to have:
 
 server-side GTM, Consent Mode v2, privacy-compliant tracking; attribution modeling/marketing mix; dbt, Airflow/Dagster/Prefect; reverse ETL (Hightouch, Census); experience in high-compliance industries; PowerBI / MS Fabric
 
 
 
 
 
 
 Why Join Edge?
 
 
 
 Edge is at a pivotal growth point, and this role offers the rare opportunity to shape the future of global employment. Here, your work directly impacts our growth trajectory, empowers businesses, and creates global employment opportunities. We&rsquo;re not just offering a job; we&rsquo;re inviting you to be part of a revolution.
 
 
 Edge is proud to be an equal-opportunity employer. We are committed to fostering a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, veteran status, or any other legally protected basis.
 
</div>

AI & Data Engineer

Seeka Technology

<div>Company Description 
We believe strong early career roles should do more than give someone a job title. They should help people grow into the kind of professionals they want to become. At SEEKA Technologies, we give junior team members meaningful work that builds real capability, sharpens problem-solving, and develops practical experience in fast-moving business and technology environments. Our goal is to help emerging talent strengthen their skills, expand their potential, and prepare for a future shaped by constant innovation across business and IT.
SEEKA Technologies (Not Seeka Limited) is a project under its parent organisation, called Fresh Futures Australia, which is an education consultant based in both Australia and Malaysia. We are developing and creating a platform that utilises A.I. to help match students and job seekers to the right opportunities relevant to them from Kindergarten up to the University, along with vocational training centres and language schools, and of course to businesses and companies who need the right candidates. Our mission is to make it easier for anyone to find, filter and apply to educational institutions and companies in a more seamless manner.
We are currently looking to hire a junior Backend AI &amp; Data Pipeline Engineer who wants to build real-world experience in backend systems, data processing, scraping, retrieval, and cloud-based infrastructure. This role is ideal for someone who already has hands-on technical experience and wants to grow further by working on meaningful engineering challenges that support Yuzee&rsquo;s intelligent matching platform. You will contribute to the systems that process data, power search and matching, and improve the efficiency, reliability, and scalability of our platform.
Below are the important details you will need to take note of:<ul><li>
English is the primary language used in the role</li><li>
This is a full-time remote/work-from-home position</li><li>
We welcome both local and international candidates</li><li>
Candidates should have a degree or proven practical experience relevant to the role</li></ul> 

Job Description 
About the role
We are looking for a Backend AI &amp; Data Pipeline Engineer to own the end-to-end data processing infrastructure that powers Yuzee's intelligent course and job matching platform. You will design and maintain scalable, event-driven pipelines that process tens of thousands of daily records, generate semantic embeddings, and feed a growing knowledge graph used for personalised career pathway recommendations.
What you'll do<ul><li>
Design and maintain three distinct processing pipelines &mdash; scheduled job ingestion, event-driven course processing, and a periodic knowledge graph builder &mdash; each with independent trigger logic and cost controls</li><li>
Generate and manage semantic embeddings via Amazon Bedrock (Titan v2), index them in MongoDB Atlas Vector Search, and calibrate similarity thresholds to ensure match accuracy</li><li>
Build and maintain a knowledge graph linking jobs, courses, skills, and industries using FP-Growth association rules and archetype-to-SOC code mapping</li><li>
Build and improve a two-stage discovery and matching API on AWS Lambda &mdash; vector retrieval first, then deep eligibility scoring with LLM re-ranking</li><li>
Right-size Fargate Spot instances and design resumable processing loops that tolerate interruption, keeping infrastructure costs under control as data volume scales</li><li>
Maintain and improve daily job scrapers across multiple sources and build institution data scrapers with robust HTML cleaning pipelines</li></ul>
What we're looking for<ul><li>
1+ years of backend engineering experience focused on data pipelines, ML infrastructure, or search systems</li><li>
Hands-on experience with AWS serverless and container services &mdash; Lambda, ECS Fargate, EventBridge, and Step Functions</li><li>
Strong Python skills &mdash; Pandas, async processing, bulk database operations, and text cleaning</li><li>
Familiarity with vector databases and semantic similarity search; MongoDB Atlas Vector Search experience is a strong plus</li><li>
Cost-conscious infrastructure mindset &mdash; you think in per-record compute costs, free tiers, Spot resilience, and right-sizing</li><li>
Ability to document and communicate complex architecture clearly to both technical and non-technical stakeholders</li></ul>
Nice to have<ul><li>
Experience with knowledge graphs or association rule mining (FP-Growth, Apriori)</li><li>
Experience using LLMs for re-ranking or eligibility assessment on top of vector retrieval results</li><li>
Background in edtech, jobtech, or recommendation/matching systems</li></ul> 

Qualifications 
Degree or existing proven experience 
Additional Information 
Use this instead:
Benefits<ul><li>
Fully remote / work-from-home role</li><li>
Flexible working hours within the team&rsquo;s expected schedule and business needs</li><li>
Opportunity to work on real backend, data, and AI infrastructure projects</li><li>
Exposure to practical engineering challenges in scraping, pipelines, retrieval, and cloud systems</li><li>
Ongoing growth and development within a fast-moving technology environment</li><li>
Opportunity to build long-term value and grow with the company based on performance, including progression and increased responsibility over time</li></ul>
A slightly more polished version:
Benefits<ul><li>
Fully remote / work-from-home position</li><li>
Some flexibility in working hours, depending on team requirements and deliverables</li><li>
Hands-on experience working on meaningful backend, data pipeline, and AI-related systems</li><li>
Opportunity to contribute to a growing platform with real product and engineering challenges</li><li>
Professional growth in a practical, fast-paced environment</li><li>
Strong potential for long-term progression based on performance, regardless of location</li></ul>
If you want it to sound more attractive for hiring, the strongest version would be to add things like:<ul><li>
ownership</li><li>
real product impact</li><li>
career growth</li><li>
direct exposure to architecture and scaling decisions</li></ul></div>

Backend AI & Data Pipeline Engineer

Job Bank Recruitment Network

DATA ENGINEER &mdash; AI &amp; MODEL TRAININGJob Bank &mdash; AI Business Engine DevelopmentLocation: Remote (Pakistan) Language: Must speak Fluent EnglishSalary: Competitive &mdash; Based on Experience---About Job BankJob Bank is a UK‑focused platform helping people start recruitment and training businesses through two simple annual plans (&pound;100 &amp; &pound;200). We are now building Job Bank AI &mdash; a specialised AI system designed to help users create and scale their own recruitment or training business.Our AI ecosystem includes:<ul><li>Recruitment AI</li><li>Training &amp; Course AI</li><li>Business Builder AI</li><li>Marketing/Outreach AI</li><li>AI Assistants (Recruiter / Trainer / Business Coach / Operations)</li><li>Business Engine (AI Tool Suite)</li></ul>We are building a vertical AI platform, with deep industry‑specific intelligence &mdash; NOT a generic chatbot.This is your opportunity to become a foundational part of a fast‑growing AI product used across the UK.---Role OverviewWe are looking for a Data Engineer who can prepare, structure, clean and optimise datasets for AI fine‑tuning and retrieval systems.Your work will directly power:<ul><li>fine‑tuned recruitment models</li><li>training/course intelligence</li><li>business‑building AI</li><li>outreach and marketing AI</li><li>autonomous AI assistants</li><li>AI-driven games and simulations</li></ul>This role is crucial to the accuracy, reliability and performance of Job Bank AI.---Key ResponsibilitiesData Preparation &amp; Engineering<ul><li>Collect datasets related to recruitment, training, business planning, marketing, and operations</li><li>Clean and standardise raw data (text, CSV, JSON, documents)</li><li>Label and structure data into instruction formats for LLM training</li><li>Build datasets for fine‑tuning small/medium models</li><li>Develop evaluation datasets for model scoring</li></ul>Data Architecture &amp; Pipelines<ul><li>Build and maintain ETL pipelines for AI model ingestion</li><li>Create scalable data workflows to support training cycles</li><li>Manage datasets using tools like Pandas, PySpark or equivalent</li><li>Optimise dataset quality, consistency, and token efficiency</li></ul>Vector Databases &amp; Retrieval<ul><li>Work with embeddings and vector databases (FAISS, Chroma, Pinecone, Weaviate)</li><li>Build and maintain retrieval datasets for RAG systems</li><li>Ensure high‑quality indexing for search, scoring and assistant use</li></ul>AI Model Support<ul><li>Support AI/ML engineers during fine‑tuning cycles</li><li>Prepare domain‑specific datasets for niche models</li><li>Validate and test model outputs against evaluation sets</li><li>Assist with dataset revisions and incremental model improvements</li></ul>Collaboration<ul><li>Work with AI Engineers to support model training</li><li>Work with Full‑Stack Developers to integrate datasets into the platform</li><li>Work directly with the founder to align on roadmap and priorities</li></ul>---Technical Skills (Must Have)Data Engineering<ul><li>Data cleaning, validation, normalisation</li><li>ETL pipeline development</li><li>JSON, CSV, XML processing</li><li>Strong Python (Pandas, NumPy)</li><li>Experience with large text datasets</li><li>Dataset versioning and quality control</li></ul>AI/Data Skills<ul><li>Experience preparing datasets for LLM fine‑tuning</li><li>Understanding of instruction tuning formats</li><li>Embeddings &amp; vector stores (FAISS, Pinecone, Chroma)</li><li>RAG data preparation</li><li>Working knowledge of tokenisation and dataset optimisation</li></ul>General<ul><li>Strong attention to detail</li><li>Ability to work quickly and independently</li><li>Fluent English communication skills</li><li>Experience supporting AI development teams</li><li>Ability to think like a product-focused engineer</li></ul>---Bonus Skills (Nice to Have)<ul><li>Experience with recruitment or training datasets</li><li>Knowledge of course design or HR workflows</li><li>Familiarity with LangChain, LlamaIndex, or similar</li><li>Exposure to machine learning pipelines</li><li>Experience working with international/remote teams</li></ul>---What We Offer<ul><li>Competitive salary (based on expertise)</li><li>Long‑term role with growth potential</li><li>Work on a high‑impact AI product</li><li>A stable, ambitious product roadmap</li><li>Flexible remote working</li><li>Supportive, fast‑paced, visionary team</li><li>Opportunity to build category‑defining AI</li></ul>---Why This Role MattersYou will be the engine behind our AI intelligence. Your datasets will shape:<ul><li>how accurately the AI writes job ads</li><li>how well it scores CVs</li><li>how intelligent the business plans are</li><li>how powerful the training/courses become</li><li>how effective the assistants behave</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs100,000.00 per monthWork Location: Remote

Data Engineer

IEngineering

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>04/13/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Industry
<div>IT Services
</div></div><div>Work Experience
<div>1+ year
</div></div><div>City
<div>Islamabad
</div></div><div>State/Province
<div>Federal Capital
</div></div><div>Country
<div>Pakistan
</div></div><div>Zip/Postal Code
<div>44000
</div></div></ul></div><div><h3 class="jobSectionHeader">Job Description</h3>
<div><div>What we&rsquo;re looking for: 
</div><div>
iENGINEERING is currently seeking an ideal candidate who will assume the responsibility of leveraging AI pipelines to manipulate data across diverse projects. This individual will play a key role in identifying and addressing any issues within the pipeline, while also maintaining performance analytics to guarantee optimal functionality.</div><div></div><h3 class="jobSectionHeader"> 
Requirements</h3><div></div><div> 
What you&rsquo;ll be doing:
 
</div><ul><li>Utilize AI pipelines to manipulate, process, and analyze data across multiple projects based on specific requirements.
 
</li><li>Leverage GIS tools such as QGIS and ArcGIS for advanced geospatial data analysis and visualization. 
</li><li>
Troubleshoot and resolve issues within AI pipelines, including data quality discrepancies, algorithmic errors, and performance bottlenecks. 
</li><li>
Track key metrics, develop Grafana dashboards, and analyze operational data to optimize the balance between automated and manual processes. 
</li><li>
Provide technical guidance and support to team members regarding the configuration, usage, and maintenance of AI pipelines. 
</li><li>
Demonstrate strong communication and collaboration skills by serving as a bridge between Service Delivery and the AI team for smooth project execution. 
</li><li>
Manage and oversee multiple projects simultaneously, effectively prioritizing tasks and consistently meeting deadlines. 
</li><li>
Continuously learn and adapt to emerging technologies and best practices in AI, GIS, and data analytics. 
</li><li>
Ensure compliance with data security policies and maintain high standards of data integrity across all AI pipeline operations. 
</li></ul><div>
What you&rsquo;ll bring along: 
</div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.
 
</li><li>1+ years of hands-on experience in data analytics, AI pipelines, or related technical roles. 
</li><li>
Proficiency in SQL and Python for exploratory data analysis (EDA) and data processing, with experience using libraries such as Pandas, NumPy, Matplotlib, GeoPandas, and Shapely. 
</li><li>
Experience working with geospatial data, including tools like QGIS, ArcGIS, and other ESRI products. 
</li><li>
Strong analytical and problem-solving abilities, with the capability to diagnose and resolve technical issues efficiently. 
</li><li>
Detail-oriented approach with a strong commitment to delivering high-quality outputs. 
</li><li>
Experience in performance analytics, dashboarding, or deriving actionable insights from data. 
</li><li>
Knowledge of Transportation Infrastructure or Asset Management domains is a plus. 
</li><li>
Certifications in AI, data analytics, or related areas are considered an advantage. 
</li></ul><div>
What we offer: 
</div><ul><li>
Integral role in our journey to make roads safer and save lives that are lost due to road accidents: Vision Zero. 
</li><li>
The chance to impact the success of our constantly growing project within the organization, iENGINEERING. 
</li><li>
Stability of an established company, iENGINEERING. 
</li><li>
Autonomous and empowering culture with high degree of freedom. 
</li><li>
Centrally located office in Blue Area, Islamabad. 
</li><li>
A competitive compensation package. 
</li><li>
20 days of annual/sick leaves plus gazette holidays. 
</li></ul><div>
A little about us: 
</div><div>
iENGINEERING, aims to revolutionize the entire road asset management chain: from collecting roadway/drone imagery to extracting features of interest to providing data maps and decision support systems. We are revamping our end-to-end product and service line to deliver up-to-date and accurate road data to our customers. This data allows road authorities in the US to develop maintenance plans and take measures to make roads safer for everyone. These authorities no longer need to rely on tedious, expensive, and unreliable processes to get their hands around this data. Countermeasures taken by road authorities based on this data not only save lives but also contribute towards our deep passion of making Vision Zero a reality.</div><div></div><div> 
iENGINEERING is an equal employer and values diversity. We are committed to equal employment opportunity regardless of sex, race, color, religion, ancestry, age, marital status, or disability. All employment is decided on the basis of qualifications, merit, and business need.</div></div></div></div>

Associate Data Analyst

Faj IT Solutions

About Us FAJ Group, based in Dubai, UAE, was founded in 2010 as a small company focused on technical services and equipment sales.We have since grown into a dynamic organization with over four subsidiaries in two sectors: International Training Academy and IT solutions. Our growth spans trading (including e-commerce), technical services, and various appliances and electronics.Company Name: FAJ IT SolutionsFor more details,Company Name: FAJ IT SolutionsLocation: 3rd Floor, HB Tower, Gulberg Greens Executive Block, IslamabadSend your CV via WhatsApp at +92 341 1410485A Prompt Engineer, or Prompt Designer, provides support for businesses in creating and managing AI prompts to ensure accurate, productive automated AI processes. Duties commonly listed in a Prompt Engineer job description include analyzing and researching AI technologies to stay abreast of best practices, creating and editing prompts and developing algorithms to support positive machine learning outcomes.Prompt Engineer duties and responsibilitiesPrompt Engineers are typically concerned with how processes, employees and customers interact with artificial intelligence. They work to create better prompts and support more proactive and helpful automated content within the scope of a variety of processes, including content generation, customer service chatbots and data analysis.Some potential duties to ensure are in a Prompt Engineer job posting include:<ul><li>Designing or writing prompts to support specific AI outcomes</li><li>Collaborating with teams to refine prompts to develop better prompt processes to support desired outcomes</li><li>Analyzing AI performance and making process and algorithm updates for performance improvement</li><li>Continued research and education on the ever-changing AI field to ensure updated best practices</li><li>Preparing data for use in updating or training machine learning processes</li><li>Providing and explaining reports regarding AI outcomes and performance</li><li>Collaborating with cross-functional teams to understand risks, ethical concerns and other issues related to AI use</li><li>Highlight required technical skills: Specify the programming languages, AI frameworks, and tools the candidate should be proficient in, such as Python, TensorFlow, or GPT-3.</li><li>Design multi turn dialogue flows for text and voice agents with context awareness and memory handling. Define personalities and tone across products and agents.</li><li>Create multilingual prompt strategies and develop reusable templates and frameworks to speed development.</li><li>Continuous Testing and Improvement</li><li>Test prompts with recordings, transcripts, and simulations before and after launch. Analyze live interactions to spot hallucinations, tone issues, dead ends, and token inefficiency.</li></ul>Collaboration and Delivery<ul><li>Partner with product managers on requirements and goals and work with engineers to integrate prompts within technical constraints.</li><li>Coordinate updates across multiple agents with version control for a unified experience and support compliance and privacy standards.</li><li>Iterate quickly to improve quality, safety, and naturalness and use analytics and qualitative insights to measure success.</li></ul>Requirements:<ul><li>Proven experience designing multi-turn conversational systems, such as chatbots, voice assistants, or customer service agents.</li><li>Strong skills in prompt engineering techniques (e.g., few-shot, chain-of-thought, RAG pipelines).</li><li>Ability to define consistent, persona-driven conversational styles across multiple agents and products.</li><li>Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and conversational frameworks (e.g., LangChain).</li><li>Excellent writing and linguistic skills, with attention to tone, clarity, and cultural sensitivity.</li><li>Basic programming skills (Python preferred) for testing and prototyping prompts.</li></ul>Work Location: In person

Ai Prompt Engineer Graphic Designer (Animation, AI Reels & Social Media)

Job Bank &mdash; AI Business Engine DevelopmentLocation: RemoteMust speak Fluent EnglishAbout Job BankJob Bank is a UK focused platform helping people start recruitment and training businesses through two simple annual plans. We are now building Job Bank AI &mdash; an intelligent system that includes:<ul><li>Recruitment AI</li><li>Training/Course AI</li><li>Business Builder AI</li><li>Marketing/Outreach AI</li><li>AI Assistants (Recruiter / Trainer / Business Coach / Operations)</li><li>Business Engine (AI Tool Suite)</li></ul>We are building a vertical AI platform, not a generic chatbot.Our mission is to create the #1 AI powered business building platform in the UK.Role OverviewWe are looking for an AI Developer / AI Engineer who can:<ul><li>Integrate large language models (OpenAI, Mistral, Groq, Claude)</li><li>Build custom AI workflows</li><li>Fine tune niche models using Job Bank&rsquo;s datasets</li><li>Build intelligent business tools</li><li>Develop AI agents</li><li>Work closely with our product and engineering team</li><li>Deliver fast, clean and high‑quality work</li></ul>You will be responsible for turning Job Bank into an AI powered platform with recruitment intelligence, training intelligence, business-building intelligence, and marketing intelligence.This is a high impact role.Key ResponsibilitiesAI Development<ul><li>Integrate multiple LLM providers (OpenAI, Anthropic, Mistral, Groq).</li><li>Build custom AI workflows using LangChain, LlamaIndex, or similar frameworks.</li><li>Create structured output templates (JSON, Markdown, Steps, Tasks).</li><li>Fine‑tune domain‑specific models (Recruitment, Training, Business, Marketing).</li><li>Build embeddings and vector search for knowledge retrieval.</li><li>Create RAG (Retrieval Augmented Generation) systems.</li><li>Develop AI scoring systems for CVs, content, outreach, etc.</li></ul>AI Tools &amp; Business Engine<ul><li>Build AI tools for:</li><li>Job adverts</li><li>CV scoring</li><li>Outreach writing</li><li>Training/course building</li><li>SOP creation</li><li>Business plan building</li><li>Content creation</li><li>Product creation</li><li>Develop UI + backend logic for these tools.</li></ul>AI Assistants (Agents)<ul><li>Build semi-autonomous agents:</li><li>AI Recruiter Assistant</li><li>AI Training Assistant</li><li>AI Business Coach</li><li>AI Marketing Assistant</li><li>AI Operations Assistant</li><li>Implement memory (short-term + long-term).</li><li>Chain-of-thought planning (hidden).</li><li>Tool calling (search, write files, propose steps).</li></ul>Data Engineering<ul><li>Prepare datasets for fine‑tuning:</li><li>Job ads</li><li>CVs</li><li>Courses</li><li>Training materials</li><li>SOPs</li><li>Business plans</li><li>Marketing frameworks</li><li>Clean, label, and structure data into instruction formats.</li></ul>Collaboration<ul><li>Work with full‑stack developers to integrate AI tools into the platform.</li><li>Work with product to refine features and outputs.</li><li>Work with the founder to align on strategy, direction, and roadmap.</li></ul>Technical Skills (Must Have)AI &amp; ML<ul><li>Experience with OpenAI API, Mistral, Groq, Claude</li><li>Fine‑tuning small/medium models</li><li>Embeddings &amp; vector stores (FAISS, Pinecone, Weaviate, Chroma)</li><li>LangChain / LlamaIndex</li><li>Prompt engineering</li><li>LLM function calling</li><li>RAG systems</li><li>Model evaluation and scoring</li></ul>Backend<ul><li>Python or Node.js</li><li>FastAPI / ExpressJS</li><li>REST + WebSockets</li><li>Clean code principles</li><li>API architecture</li></ul>Frontend(Not required, but a plus)<ul><li>React / Next.js</li><li>UI component building</li><li>Clean UX flows</li></ul>General<ul><li>Strong problem‑solving</li><li>Ability to work quickly</li><li>Experience shipping real AI features</li><li>Ability to think like a product engineer, not just a coder</li></ul>Bonus Skills (Nice to Have)<ul><li>Experience with recruitment technology</li><li>Experience with LMS or course platforms</li><li>Experience with business tools (CRM, project management, etc.)</li><li>Experience building AI agents</li><li>Experience using Groq for ultra-fast inference</li><li>Understanding of UK recruitment/training market (not required)</li></ul>What We Offer<ul><li>Work on a high‑impact AI platform</li><li>Long‑term role with growth potential</li><li>Stable and exciting product roadmap</li><li>Opportunity to build category‑defining AI</li><li>Flexible working</li><li>A team that is supportive, fast, and visionary</li></ul>Why This Role MattersYou will be responsible for:<ul><li>bringing AI intelligence into Job Bank</li><li>creating tools no competitor has</li><li>shaping the future of the UK&rsquo;s small‑business landscape</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs100,000.00 per monthWork Location: Remote

AI Developer

Datamatics Technologies

<div>
 
 Role Overview
 
 
 Datamatics is seeking a highly motivated
 
 AI Engineer
 
 with a strong focus on designing, developing, and deploying production-grade
 
 LLM-powered applications
 
 . The ideal candidate will have hands-on experience with modern GenAI frameworks such as LangChain and LangGraph, and a deep understanding of Retrieval-Augmented Generation (RAG) architectures.
 
 
 Key Responsibilities
 
 
 AI Application Development
 
 <ul>
 <li>
 Design, develop, and deploy scalable AI applications using Python and modern GenAI frameworks (e.g., LangChain, LangGraph, LlamaIndex)
 </li>
 <li>
 Build production-ready LLM applications for real-world use cases across public health and enterprise domains
 </li>
 <li>
 Integrate state-of-the-art generative AI models to enhance product capabilities and consulting offerings
 </li>
 </ul>
 
 RAG &amp; NLP Engineering
 
 <ul>
 <li>
 Develop and optimize
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines using advanced techniques such as:
 <ul>
 <li>
 Semantic search
 </li>
 <li>
 Hybrid search
 </li>
 <li>
 Re-ranking strategies
 </li>
 </ul>
 </li>
 <li>
 Apply NLP concepts including embeddings, Named Entity Recognition (NER), and text processing to improve model performance
 </li>
 <li>
 Fine-tune retrieval and generation strategies for accuracy, latency, and scalability
 </li>
 </ul>
 
 Architecture &amp; Scalability
 
 <ul>
 <li>
 Collaborate with Data Engineers and Data Scientists to design scalable, high-performance AI solutions
 </li>
 <li>
 Ensure smooth productionization of AI models in collaboration with MLOps teams
 </li>
 <li>
 Deploy and manage AI services using Kubernetes and containerization technologies
 </li>
 <li>
 Work with cloud platforms (AWS, Azure, or GCP) and big data ecosystems
 </li>
 </ul>
 
 Innovation &amp; Continuous Learning
 
 <ul>
 <li>
 Stay updated with the latest advancements in AI, LLMs, and NLP
 </li>
 <li>
 Contribute to innovation by experimenting with emerging tools, frameworks, and methodologies
 </li>
 <li>
 Drive adoption of best practices in AI engineering and system design
 </li>
 </ul>
 
 Required Qualifications
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field (with focus on AI/ML/NLP)
 </li>
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 1&ndash;3 years of hands-on experience in AI/ML application development
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 Strong programming skills in Python
 </li>
 </ul>
 
 Required Skills
 
 <ul>
 <li>
 Experience with GenAI frameworks such as LangChain, LangGraph, and/or LlamaIndex
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 Strong understanding of:
 <ul>
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 LLMs and prompt engineering
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 RAG architectures
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 Embeddings and vector databases
 </li>
 </ul>
 </li>
 <li>
 Familiarity with NLP techniques such as NER, semantic search, and text processing
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 <li>
 Experience with:
 <ul>
 <li>
 Kubernetes and containerization (Docker)
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 Cloud platforms (AWS, Azure, or GCP)
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 Big data tools (e.g., Apache Spark) and data lake architectures
 </li>
 </ul>
 </li>
 <li>
 Strong problem-solving, analytical thinking, and communication skills
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience building production-grade AI/LLM applications
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 <li>
 Exposure to MLOps practices and model lifecycle management
 </li>
 <li>
 Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate)
 </li>
 <li>
 Understanding of scalable system design and microservices architecture
 </li>
 </ul>
</div>

AI Engineer

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