# Senior Software Engineer - AI/ML

> Devsinc · Lahore, Pakistan · Full-time · Posted 2026-10-01

**Workplace:** on_site

**Department:** Awais Mushtaq

## Description

Devsinc is hiring a **Senior AI/ML Engineer** with **4+ years of experience**, including **development of LLM or generative AI applications**. The ideal candidate brings strong **machine learning fundamentals** and expertise in **Python backend services and APIs, RAG, semantic search, AI agents, and scalable ML infrastructure**, using commercial and open-source models.

You will own the **end-to-end AI lifecycle**, from experimentation and evaluation to deployment, optimization, and monitoring, ensuring reliable, scalable, secure, and cost-efficient solutions. The role also involves architectural decisions, mentoring engineers, and collaborating with clients and cross-functional teams to deliver measurable business impact.

**Responsibilities**

-   Design, develop, and deploy **AI/ML and LLM-based applications**, including **AI agents, tool-using systems, and human-in-the-loop workflows**, to solve business problems.
-   Build scalable **training, fine-tuning, evaluation, and inference pipelines**, with experiment tracking and model versioning.
-   Develop and optimize **RAG and semantic-search systems** using embeddings, document chunking, vector search, reranking, and grounding.
-   Build **backend APIs, microservices, and real-time inference services** using **Python, FastAPI, Flask, or Django**.
-   Improve model quality, latency, throughput, and cost through experimentation, **hyperparameter tuning, quantization, batching, and caching**.
-   Implement **MLOps, automated testing, CI/CD, and production monitoring**, supported by evaluation datasets, quality criteria, regression tests, and human review.
-   Guide architectural decisions and cloud deployment, ensuring **scalability, reliability, security, and resource efficiency**, with safeguards against prompt injection, data leakage, unauthorized access, and unsafe outputs.
-   Evaluate emerging AI technologies and measure feature effectiveness through **product analytics or A/B testing**.
-   Mentor engineers, collaborate with technical and non-technical stakeholders, and document designs, experiments, and outcomes.

## Requirements

-   Bachelor’s degree in **Computer Science**, **Software Engineering**, **Data Science**, or a related field.
-   **4+ years of post-graduation professional experience in AI/ML engineering**, with demonstrated ownership of production AI systems and hands-on experience developing **LLM or generative AI applications**.
-   Strong production-level **Python** skills, with hands-on experience in **PyTorch and/or TensorFlow** and solid knowledge of machine learning, neural networks, NLP, feature engineering, and model optimization.
-   Experience integrating commercial or open-source **LLMs**, including prompt design, structured outputs, tool calling, context management, and model limitations.
-   Hands-on experience building **RAG or semantic-search systems**, including embeddings, chunking, retrieval, reranking, and grounding, using vector-search solutions such as **pgvector, Pinecone, Weaviate, Qdrant, Milvus, or Elasticsearch**.
-   Experience developing and deploying **APIs, microservices, or inference services** using **FastAPI, Flask, Django**, or equivalent frameworks, with proficiency in **SQL and PostgreSQL or MySQL**.
-   Experience deploying AI solutions on **AWS, Azure, or Google Cloud**, with working knowledge of **Git, Docker, automated testing, CI/CD, and MLOps**, including experiment tracking, model versioning, and monitoring.
-   Understanding of **AI evaluation, regression testing, human review, and security and privacy risks**.
-   Ability to own technical decisions, guide engineers, and communicate effectively with clients and cross-functional stakeholders.

**Preferred Skills & Experience**

-   Experience with AI frameworks such as **LangChain, LlamaIndex, or LangGraph**, and evaluation tools such as **LangSmith, Langfuse, or Ragas**, is a plus.
-   Experience with **Hugging Face Transformers, vLLM, Ollama, LoRA/PEFT fine-tuning, or self-hosted models** is preferred.
-   Familiarity with **MLflow, Kubeflow, Kubernetes, Terraform, distributed systems, or GPU acceleration** is a plus.
-   Experience with **data orchestration, asynchronous processing, caching, or messaging**, using tools such as **Airflow, Redis, Celery, Kafka, or RabbitMQ**, is preferred.
-   Knowledge of **advanced retrieval, knowledge graphs, recommendation systems, computer vision, multimodal AI, or A/B testing and product analytics** is a plus.

## Apply

[Apply at Devsinc](https://apply.workable.com/devsinc-17/j/145399E9F5/apply)

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