Generative AI Engineer

Cogent Labs is hiring a Generative AI Engineer for its Lahore office. The role requires hands-on experience with LangChain, LangGraph, and Python-based AI workflows, focusing on Retrieval-Augmented Generation (RAG), fine-tuning LLMs, and multi-modal AI systems. Candidates should have 1–2 years of real-world experience in AI engineering, including prompt engineering, tool calling, and model deployment. Apply via Hirestream or visit congentlabs.co

Share This Job

Generative AI Engineer – Lahore

Company Name: Cogent Labs
Position Title: Generative AI Engineer
Location: Lahore, Pakistan
Industry: Artificial Intelligence / Software Engineering
Employment Type: Full-Time
Apply Link: Apply Here – Hirestream
Official Site: Cogent Labs Official Site

Job and Company Description

Cogent Labs is inviting applications for the position of Generative AI Engineer at its Lahore office. This opportunity is designed for professionals who have a deep technical foundation in building and scaling AI-driven solutions, with a particular focus on modern frameworks such as LangChain and LangGraph. The role requires individuals who are not only familiar with building prototypes but who have experience deploying practical, production-ready systems that deliver measurable value.

Generative AI has moved far beyond experimental projects, and companies across industries are now integrating AI into their core processes. As a result, engineers with the ability to design, fine-tune, and optimize large language models, retrieval systems, and agentic workflows are in high demand. Cogent Labs, with its emphasis on innovation and forward-looking solutions, provides an excellent platform for such professionals to showcase their expertise.

This role emphasizes more than basic development. The candidate will be working on advanced systems involving tool calling, autonomous decision-making, Retrieval-Augmented Generation (RAG), and fine-tuning of LLMs. Exposure to multi-modal systems, including chat, voice, and vision integrations, is also expected, as modern AI workflows often require blending different modes of input and output.

Cogent Labs is offering a competitive environment where engineers will be part of a team that values independence, collaboration, and innovation. The position also comes with an attractive perks package that includes daily lunch, bonuses, medical coverage, travel allowance, and other benefits.

For those passionate about the future of AI and keen to work on cutting-edge applications, this opportunity is not only a job but a chance to play a meaningful role in shaping the next generation of AI-driven solutions.

Company Introduction

Cogent Labs is a technology company that specializes in delivering innovative digital solutions to global and local clients, with a strong focus on artificial intelligence, machine learning, and advanced software systems. Founded with the mission to bridge the gap between modern technological research and practical business applications, Cogent Labs has become one of the leading names in Pakistan’s tech landscape.

The company operates with a forward-thinking vision that places AI at the core of digital transformation. While many organizations are still exploring AI as a side project, Cogent Labs integrates AI into the very fabric of its solutions. Its engineering teams are deeply involved in areas such as natural language processing, computer vision, multimodal systems, and automation frameworks that power decision-making across industries.

Cogent Labs has built its reputation on three foundational principles: technical excellence, innovation, and collaboration. By attracting some of the best talent in Pakistan’s technology sector, the company fosters an environment where engineers and developers are encouraged to experiment, learn, and grow. This culture of innovation has allowed Cogent Labs to successfully deliver projects ranging from AI-powered chatbots and enterprise automation tools to large-scale AI integration frameworks for international clients.

The organization also emphasizes inclusivity and cultural diversity, creating a workplace where individuals from different academic and professional backgrounds contribute to shared goals. By balancing independence with teamwork, Cogent Labs ensures that every employee has the space to think creatively while also benefiting from collective knowledge.

In addition to its technical strengths, the company is known for its employee-focused policies. From offering perks such as daily lunch and medical benefits to supporting professional development initiatives, Cogent Labs prioritizes the well-being of its workforce. This combination of technical challenges and a supportive environment makes it one of the most attractive destinations for skilled engineers seeking to advance their careers in AI.

By joining Cogent Labs, candidates not only secure a position in one of the fastest-growing sectors in technology but also become part of a mission-driven team that is building real-world solutions using the latest advancements in AI.

Job Description

The role of Generative AI Engineer at Cogent Labs is highly specialized and requires expertise in designing, implementing, and optimizing advanced AI systems. Unlike roles that focus solely on experimentation or passive content generation, this position emphasizes the practical deployment of intelligent agents that perform actions, make decisions, and solve real-world problems.

The engineer will be expected to design workflows that utilize LangChain, LangGraph, or similar Python-based frameworks to create intelligent systems capable of integrating with multiple tools, APIs, and data sources. The role involves moving beyond low-code/no-code environments by building custom pipelines that enable autonomous decision-making, AI action execution, and adaptive responses.

A core responsibility will be developing and refining Retrieval-Augmented Generation (RAG) systems. This includes building pipelines that fetch, index, and retrieve data efficiently, ensuring that large language models provide contextually accurate and useful responses. The engineer will also engage in fine-tuning LLMs, ensuring that models are adapted to specific tasks, industries, or datasets relevant to client requirements.

Another major aspect of this role is working with multi-modal systems. This includes designing AI solutions that combine text, vision, and voice, enabling users to interact with applications naturally and seamlessly. Practical experience in integrating these different modes of input and output will be key to the success of the engineer in this position.

The role also requires strong skills in prompt engineering, including advanced techniques such as ReAct prompting, structured prompting, and context optimization. The ability to craft effective prompts ensures that AI models produce reliable and consistent outputs, a critical component of deploying systems for production use.

In addition to core AI responsibilities, the engineer will also be expected to handle structured and unstructured data. This involves tasks such as parsing documents, managing large datasets, and creating structured outputs using tools like Pydantic.

The engineer will collaborate with cross-functional teams, participate in code reviews, and contribute to system design discussions. They will also play a role in scaling AI-driven solutions, ensuring that projects move from proof-of-concept to production-ready deployments.

Soft skills such as communication, teamwork, and problem-solving are equally important. The engineer will be required to explain complex AI concepts to both technical and non-technical stakeholders, collaborate with team members, and maintain attention to detail in fast-paced environments.

This role is well-suited for individuals who thrive on challenges, enjoy working at the intersection of research and engineering, and have a strong desire to contribute to the advancement of practical AI applications.

Eligibility Criteria

The eligibility requirements for the Generative AI Engineer position at Cogent Labs are designed to ensure that candidates have both the technical foundation and the problem-solving abilities needed to succeed in a demanding environment.

Candidates must have 1–2 years of hands-on experience in developing AI workflows beyond basic low-code platforms such as n8n, Make, or Zapier. The company is seeking individuals who can build advanced pipelines in Python using frameworks such as LangChain or LangGraph, demonstrating depth in AI engineering rather than surface-level familiarity.

Proficiency in prompt engineering is essential. Candidates should be comfortable with advanced techniques, including structured prompting, ReAct agents, and optimizing context for better results. Experience with tool calling, autonomous decision-making, and AI action execution is required, as these are critical components of the workflows at Cogent Labs.

Strong knowledge of Retrieval-Augmented Generation (RAG) and fine-tuning LLMs is mandatory. Applicants should be able to demonstrate practical projects or prior work where these methods have been implemented successfully.

Exposure to multi-modal systems is another requirement. Candidates must have experience working with AI systems that integrate chat, voice, or vision, ensuring versatility in handling modern AI applications.

Familiarity with working on both structured and unstructured data is important. The ability to parse complex documents, extract meaningful insights, and create structured outputs with tools such as Pydantic will be expected.

While not mandatory, certain skills are considered advantageous. Experience with MCP (Model Context Protocol) servers, multi-agent pipelines, or agent-to-agent coordination is highly desirable. Candidates with exposure to MLOps pipelines, particularly around model deployment and production readiness, will also be prioritized.

Soft skills are equally valued. Strong communication and interpersonal skills, the ability to work independently, and adaptability in fast-paced environments are all considered essential qualities for success in this role.

Candidates lacking experience with LangChain or real-world production-grade AI deployments will not be considered. This reflects Cogent Labs’ focus on hiring individuals with proven capabilities in deploying systems at scale.

Overall, the eligibility criteria highlight a blend of technical expertise, practical deployment experience, and interpersonal skills that enable engineers to thrive in a collaborative yet demanding environment.