engineering agent

Brainlake Advertising LLC

<p></p><div><p>Seeking a high-performing Prompt &amp; Agent Engineer (Senior Associate / Manager) to join a fast-paced engagement on-site in Doha, Qatar. This is a 3-month contract, extendable based on performance and project needs.</p><p>
The primary purpose of the role is to rapidly design, build, and deploy AI agents and prompt-engineered solutions for different use cases. You will work hands-on with large language models &mdash; particularly Google Gemini &mdash; to develop production-ready agents that automate workflows, enhance citizen services, and drive operational efficiency across certain initiatives</p><p></p><ul>
<li>
Agent Development - Design, build, and deploy AI agents using Google Gemini and related frameworks to automate workflows and service delivery processes</li>
<li>Prompt Engineering - Craft, test, and optimize advanced prompts and prompt chains to maximize LLM output quality, accuracy, and reliability for production use cases
</li><li>Rapid Prototyping - Quickly build functional prototypes and MVPs of AI-powered tools, iterating fast based on stakeholder feedback and real-world testing</li>
<li>Integration and Orchestration - Connect AI agents with APIs, databases, and existing government systems using orchestration tools such as LangChain, Vertex AI Agent Builder, or similar frameworks</li>
<li>Evaluation and Testing - Develop evaluation benchmarks, test suites, and guardrails to ensure agent outputs are accurate, safe, and aligned with compliance requirements</li>
<li>Knowledge Transfer - Document agent architectures, prompt libraries, and best practices. Support internal teams in adopting and maintaining deployed solutions</li>
<li>Stakeholder Collaboration - Work closely with project leads, solution architects, and government stakeholders to translate business requirements into AI agent specifications and deliverables</li>
</ul><p><b>
Requirements</b></p><p></p><ul>
<li>
3-5 years of hands-on experience in AI/ML engineering, prompt engineering, or agent development with a strong bias for speed and execution</li>
<li>Demonstrated experience building agents and applications using Google Gemini (required), with familiarity in Vertex AI, Gemini API, and Agent Builder</li>
<li>Strong programming skills in Python with experience in LLM orchestration frameworks (LangChain, Llama Index, or equivalent)</li>
<li>Experience with RAG architectures, function calling, tool use, and multi-agent systems</li>
<li>Ability to work on-site in Doha, Qatar for the full engagement duration (3 months, extendable)</li>
<li>Fast learner who thrives under pressure with a ship-fast, iterate-fast mentality</li>
<li>Public sector or government consulting experience is a plus (Arabic is a plus)</li>
<li>Google Cloud or AI-related certifications are a bonus</li></ul></div>

Prompt and Agent Engineer

Brainlake

<div>
 Seeking a high-performing Prompt &amp; Agent Engineer (Senior Associate / Manager) to join a fast-paced engagement on-site in Doha, Qatar. This is a 3-month contract, extendable based on performance and project needs.
 <br/>
 <br/>
 The primary purpose of the role is to rapidly design, build, and deploy AI agents and prompt-engineered solutions for different use cases. You will work hands-on with large language models &mdash; particularly Google Gemini &mdash; to develop production-ready agents that automate workflows, enhance citizen services, and drive operational efficiency across certain initiatives
 <br/>
 <br/>
 <ul>
  <li>
   Agent Development - Design, build, and deploy AI agents using Google Gemini and related frameworks to automate workflows and service delivery processes
  </li>
  <li>
   Prompt Engineering - Craft, test, and optimize advanced prompts and prompt chains to maximize LLM output quality, accuracy, and reliability for production use cases
  </li>
  <li>
   Rapid Prototyping - Quickly build functional prototypes and MVPs of AI-powered tools, iterating fast based on stakeholder feedback and real-world testing
  </li>
  <li>
   Integration and Orchestration - Connect AI agents with APIs, databases, and existing government systems using orchestration tools such as LangChain, Vertex AI Agent Builder, or similar frameworks
  </li>
  <li>
   Evaluation and Testing - Develop evaluation benchmarks, test suites, and guardrails to ensure agent outputs are accurate, safe, and aligned with compliance requirements
  </li>
  <li>
   Knowledge Transfer - Document agent architectures, prompt libraries, and best practices. Support internal teams in adopting and maintaining deployed solutions
  </li>
  <li>
   Stakeholder Collaboration - Work closely with project leads, solution architects, and government stakeholders to translate business requirements into AI agent specifications and deliverables
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3-5 years of hands-on experience in AI/ML engineering, prompt engineering, or agent development with a strong bias for speed and execution
  </li>
  <li>
   Demonstrated experience building agents and applications using Google Gemini (required), with familiarity in Vertex AI, Gemini API, and Agent Builder
  </li>
  <li>
   Strong programming skills in Python with experience in LLM orchestration frameworks (LangChain, Llama Index, or equivalent)
  </li>
  <li>
   Experience with RAG architectures, function calling, tool use, and multi-agent systems
  </li>
  <li>
   Ability to work on-site in Doha, Qatar for the full engagement duration (3 months, extendable)
  </li>
  <li>
   Fast learner who thrives under pressure with a ship-fast, iterate-fast mentality
  </li>
  <li>
   Public sector or government consulting experience is a plus (Arabic is a plus)
  </li>
  <li>
   Google Cloud or AI-related certifications are a bonus
  </li>
 </ul>
</div>


Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a hands-on and qualified AI Agent Architect to design and deploy advanced Agentic AI systems&mdash;comprising task-specific autonomous tools governed by a master agent&mdash;to support complex technical decision-making in industrial environments.<br>
This is a high-impact individual contributor role for someone who can independently deliver full-stack intelligent agents that interpret natural language queries and generate precise, context-aware outputs by interacting with structured and unstructured data, APIs, and analytical engines.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Architect and develop a multi-agent AI framework where autonomous agents coordinate to solve domain-specific technical queries.
</p></div><div><p>Leverage LLMs, NLP, and tool-based reasoning to automate data extraction, analysis, and insight generation.
</p></div><div><p>Build agents capable of integrating with engineering tools, simulators, databases, and knowledge sources.
</p></div><div><p>Collaborate with domain experts to align agent behavior with technical expectations and constraints.
</p></div><div><p>Implement safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs.
</p></div><div><p>Continuously optimize prompting, agent orchestration, and performance under real-world conditions.
</p></div><div><p>Business trip to Kuwait for first 6-12 months. On-site
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Demonstrated expertise in building Agentic AI architectures, using frameworks like LangChain, AutoGen, CrewAI, or custom stacks.
</p></div><div><p>Strong foundation in LLM-based NLP, prompt engineering, and context-aware reasoning.
</p></div><div><p>Advanced Python programming and experience deploying AI workflows in cloud or containerized environments.
</p></div><div><p>Ability to work with APIs, data models, and external toolchains across complex systems.
</p></div><div><p>Comfortable operating independently with minimal supervision in a cross-functional environment.
</p></div><div><p>Ready for a long term business trip to Kuwait for first 6-12 months
</p></div></div><p>Nice to have
</p><div><div><p>Exposure to industrial domains such as energy, manufacturing, or heavy engineering.
</p></div><div><p>Understanding of vector databases, knowledge graphs, and retrieval-augmented generation.
</p></div><div><p>Familiarity with Azure or AWS development environments.
</p></div><div><p>Certifications:
</p></div><div><p>Azure AI Engineer or Azure Data Engineer certification is a plus.
</p></div><div><p>AWS experience is nice to have, but not required.
</p></div><div><p>Industry Experience:
</p></div><div><p>Oil and gas domain experience is a strong advantage, especially familiarity with digital operations or engineering workflows.
</p></div><div><p>However, candidates with relevant AI system-building experience in other complex industries are encouraged to apply.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Remote Egypt, Egypt
</p></div><p>Req. VR-118734
</p></div><div></div><div><div><p>AI/ML
</p></div><div><p>Cross Industry Solutions</p>
</div><div><p>23/02/2026
</p></div><div><p>Req. VR-118734</p></div></div></div><p></p>

AI Agent Architect (onsite work in Kuwait)

Pragma Edge

<div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><ul><div><div>Job Category - IT</div>
</div><div></div><div><div>No of Openings : 02</div>
</div><div></div><div><div>Experience: 3&ndash;5 years of relevant AI/ML experiences</div>
</div><div></div><div><div>Job Location - Hyderabad</div>
</div><div></div><div><div><div>Employment Type - Permanent
</div></div></div><div></div><div><div>Shift Timing: 2pm - 11pm IST</div>
</div></ul></div></div></div></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div></div><div><div><p>We are looking for a Senior AI Engineer with proven experience in Agentic AI, Large Language Models (LLMs), and advanced NLP systems. The candidate will take end-to-end ownership of multi-agent architectures, from design and development through production deployment and optimization.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Key Responsibilities:</b></h2>
</div></div><div><div><b>Agentic AI &amp; Multi-Agent Architecture</b>
</div></div><div><div><ul><li>Design and implement agent-based and multi-agent systems using frameworks such as CrewAI, LangGraph, AutoGen, and LangChain</li><li>
Build autonomous agents capable of planning, reasoning, tool usage, and long-running task execution</li><li>
Integrate LLMs with tools, APIs, memory stores, vector databases, and RAG pipelines</li></ul>
</div></div><div><div><b>LLM Development &amp; Optimization</b>
</div></div><div><div><ul><li>Fine-tune and optimize foundation models (e.g., Mistral, Gemini Flash, OpenAI models, AWS Bedrock)</li><li>
Develop advanced prompt strategies and control loops for agent reasoning</li><li>
Build NLP pipelines for summarization, classification, QA, and text generation</li></ul>
</div></div><div><div><b>Production Deployment &amp; Scalability</b>
</div></div><div><div><ul><li>Deploy AI services and agent workflows to production environments</li><li>
Optimize solutions for latency, cost, memory usage, and scalability</li><li>
Collaborate with DevOps and platform teams on CI/CD, monitoring, and reliability</li></ul>
</div></div><div><div><b>Evaluation, Safety &amp; Reliability</b>
</div></div><div><div><ul><li>Implement evaluation frameworks for LLM and agent performance</li><li>
Ensure robustness, observability, and responsible AI deployment</li><li>
Apply AI safety, ethical AI, and governance best practices</li></ul>
</div></div><div><div><b>Cross-Functional Collaboration</b>
</div></div><div><div><ul><li>Work closely with product, research, data engineering, and software teams</li><li>
Translate business requirements into scalable AI solutions</li><li>
Mentor junior engineers and contribute to design reviews</li></ul>
</div></div><div><div><b>Documentation &amp; Knowledge Sharing</b>
</div></div><div><div><ul><li>Maintain detailed technical documentation</li><li>
Communicate system design, trade-offs, and outcomes to stakeholders</li></ul>
</div></div><div><div><h2 class="jobSectionHeader"><b>Required Qualifications:</b></h2>
</div></div><div><div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or related fields</li><li>
3&ndash;5 years of hands-on experience in AI/ML or applied NLP</li><li>
Strong proficiency in Python</li><li>
Experience with PyTorch and/or TensorFlow</li><li>
Hands-on experience with LLMs, prompt engineering, fine-tuning, and RAG</li><li>
Practical exposure to agentic AI and multi-agent orchestration</li><li>
Experience building scalable, distributed systems</li><li>
Strong problem-solving and communication skills</li></ul>
</div></div><div><div><h2 class="jobSectionHeader"><b>Preferred Nice To Have Skills:</b></h2>
</div></div><div><div><ul><li>Experience with WatsonX, LangChain, AutoGen, LangGraph, CrewAI</li><li>
Cloud platforms: IBM Cloud, AWS, Azure, or GCP</li><li>
Experience with vector databases (FAISS, Pinecone, Weaviate, etc.)</li><li>
Contributions to open-source AI projects</li><li>
Knowledge of AI safety, alignment, and ethical AI principles</li></ul></div></div></div></div></div></div></div></div></div><p></p>

Senior AI Engineer (Agentic AI)

Datamatics Global Services Ltd

<div><p><b>Job Title:</b> Agentic AI Engineer<br>
<b>Location:</b> Islamabad, Pakistan (Onsite)<br>
<b>Experience:</b> 7&ndash;8 Years<br>
<b>Employment Type:</b> Full-Time</p><h3 class="jobSectionHeader"><b>
Job Overview</b></h3><p>
We are looking for a highly skilled <b>Agentic AI Engineer</b> to design, build, and deploy intelligent AI agents capable of autonomous decision-making, workflow execution, and tool integration. The ideal candidate will have strong experience in AI/ML systems, LLM-based applications, and building multi-agent or autonomous AI solutions that solve real business problems.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li><p>
Design and develop <b>agentic AI systems</b> that can plan, reason, and execute tasks autonomously.</p></li><li><p>
Build and optimize applications using <b>Large Language Models (LLMs)</b> and advanced AI frameworks.</p></li><li><p>
Develop multi-agent architectures for complex workflows and decision-making processes.</p></li><li><p>
Integrate AI agents with enterprise tools, APIs, databases, and internal platforms.</p></li><li><p>
Implement memory, planning, retrieval, and tool-use capabilities in AI agents.</p></li><li><p>
Work closely with product, engineering, and business teams to identify AI automation opportunities.</p></li><li><p>
Ensure scalability, security, and performance of AI systems in production.</p></li><li><p>
Continuously evaluate new AI frameworks, models, and techniques to improve solutions.</p></li></ul><h3 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h3><ul><li><p>
7&ndash;8 years of experience in <b>AI/ML, software engineering, or applied AI development</b>.</p></li><li><p>
Strong programming experience in <b>Python</b>.</p></li><li><p>
Hands-on experience with <b>LLMs and AI frameworks</b> such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar.</p></li><li><p>
Experience with <b>RAG architectures</b>, vector databases, and embeddings.</p></li><li><p>
Familiarity with <b>OpenAI, open-source LLMs, or similar AI model ecosystems</b>.</p></li><li><p>
Experience building <b>AI agents, automation workflows, or intelligent assistants</b>.</p></li><li><p>
Strong understanding of APIs, microservices, and cloud platforms (AWS, GCP, or Azure).</p></li><li><p>
Experience with Docker, CI/CD, and scalable system design.</p></li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li><p>
Experience with <b>multi-agent systems and autonomous AI workflows</b>.</p></li><li><p>
Knowledge of <b>prompt engineering, model evaluation, and AI safety</b>.</p></li><li><p>
Familiarity with <b>vector databases</b> such as Pinecone, Weaviate, or FAISS.</p></li><li><p>
Experience working in <b>AI startups or advanced R&amp;D environments</b>.</p></li><li><p>
Background in <b>Computer Science, AI, Data Science, or related field</b>.</p></li></ul><h3 class="jobSectionHeader"><b>
What We Offer</b></h3><ul><li><p>
Opportunity to work on cutting-edge <b>AI and autonomous systems</b>.</p></li><li><p>
Competitive salary and growth opportunities.</p></li><li><p>
Collaborative and innovation-driven work environment.</p></li><li><p>
Exposure to global AI projects and modern technology stack.</p></li></ul><p>
</p><p>Hr0rUNuBPn</p></div>

Agentic AI Engineer

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