Senior AI Engineer | Big Entities | DHA Phase 3, Lahore at Tech Junction Ltd – Lahore | Jobyssey

Position Summary:

Big Entities is seeking an experienced, highly technical, and accomplished Senior AI Engineer with 3 to 5 years of professional artificial intelligence and software engineering experience to join our client delivery team on a full-time basis in DHA Phase 3, Lahore (working hours: 1 PM - 10 PM). In this specialized generative AI and agentic systems role, you will spearhead designing, building, and deploying intelligent, production-ready AI systems, autonomous AI agents, and advanced multi-agent workflows utilizing state-of-the-art LLMs. You will work closely with cross-functional software engineers, data scientists, and product leaders to translate complex ideas into scalable AI solutions. Ideal candidates bring a robust academic degree in computer science or artificial intelligence, deep practical mastery of Python, RAG pipelines, LangChain, LangGraph, MCP, and vector databases, and immediate availability for deployment in Lahore.

Detailed Job Description:

As a Senior AI Engineer at Big Entities in Lahore, Pakistan, you will take full ownership of architecting, developing, and optimizing generative AI applications and multi-agent systems. Your day-to-day responsibilities encompass engineering robust backend services in Python, implementing advanced Retrieval-Augmented Generation (RAG) architectures, orchestrating complex agentic workflows using LangChain and LangGraph, and integrating Model Context Protocol (MCP) servers with vector databases. You will collaborate with engineering squads to tune model inference, optimize prompt engineering pipelines, and ensure high availability of production AI services. Working in a fast-paced technology environment with convenient afternoon-to-evening shift timings (1 PM - 10 PM), you will drive cutting-edge artificial intelligence innovation.

Key Responsibilities:

Design, architect, develop, and deploy production-ready generative AI systems and autonomous AI agents.
Build and optimize advanced Retrieval-Augmented Generation (RAG) pipelines for accurate enterprise knowledge retrieval.
Orchestrate complex multi-agent workflows and conversational architectures utilizing LangChain and LangGraph.
Integrate Model Context Protocol (MCP) servers, LLM APIs, and vector databases (e.g., Pinecone, Milvus, Qdrant, Chroma).
Write clean, maintainable, and highly efficient backend code and automation scripts in Python.
Collaborate closely with software architects, data engineers, and product stakeholders in DHA Phase 3, Lahore.
Perform rigorous model evaluation, prompt tuning, latency optimization, and hallucination reduction testing.
Ensure strict adherence to AI ethics, data privacy standards, and enterprise security compliance.
Maintain comprehensive technical documentation, architecture blueprints, and API integration guides.
Participate in code reviews, technical spike investigations, and continuous improvement initiatives.

Required Qualifications & Skills:

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
3 to 5 years of professional software development experience, with a strong specialized focus on artificial intelligence and machine learning.
Deep technical mastery of Python programming, asynchronous execution, and software design patterns.
Proven practical experience building RAG architectures and working with large language models (LLMs).
Hands-on expertise with AI agent orchestration frameworks, specifically LangChain and LangGraph.
Practical working familiarity with Model Context Protocol (MCP) and vector database integration.
Strong analytical, problem-solving, prompt-engineering, and cross-functional communication capabilities.
Professional availability for full-time employment in DHA Phase 3, Lahore (Timings: 1 PM - 10 PM).

Nice-to-Have Skills:

Experience fine-tuning open-source LLMs (Llama, Mistral, Gemma) using Hugging Face transformers and PEFT/LoRA.
Hands-on familiarity with cloud deployment platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
Experience implementing vector search optimizations, hybrid search, and reranking mechanisms (Cohere, BGE).
Contributions to open-source AI projects or published technical articles on agentic workflows.
Strong background in CI/CD pipelines and automated MLOps testing frameworks.

Application Information:

Salary/Rate: Competitive and commensurate with experience
Deadline: Open until filled
Notice Period: Immediate to short notice preferred
Contract Duration: Permanent / Full-Time (DHA Phase 3, Lahore | Timings: 1 PM - 10 PM)

Recruitment Pro Tip:

When applying for senior AI engineering roles focusing on agentic workflows, ensure your resume explicitly highlights your production experience with LangGraph, RAG optimization, and vector database management.

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