AI Engineer – Senior Software Engineer

Company Description

Test Company Description

Job Description

About the Role

We are looking for a Senior Software Engineer – AI Engineer to design, build, and productionize AI-powered solutions that solve real-world business and customer problems. You will work across machine learning, generative AI, LLMs, backend engineering, and cloud technologies to build scalable, reliable, and secure AI applications.

The ideal candidate is a strong software engineer who is comfortable working with AI/ML technologies and can take an AI solution from experimentation and prototyping through production deployment and ongoing optimization.

Key Responsibilities

• Design and develop scalable AI-powered applications and services.
• Build and integrate Generative AI and Large Language Model (LLM) capabilities into production applications.
• Develop AI/ML pipelines for data preparation, model training, evaluation, deployment, and monitoring.
• Work with LLMs, embeddings, vector databases, Retrieval-Augmented Generation (RAG), prompt engineering, and AI agents.
• Design and implement APIs and backend services that integrate AI capabilities with existing products and platforms.
• Evaluate different models and approaches based on accuracy, latency, cost, scalability, and reliability.
• Develop strategies for prompt optimization, model evaluation, hallucination reduction, and response quality.
• Build production-ready solutions with appropriate observability, logging, monitoring, security, and failure handling.
• Collaborate with product managers, software engineers, data scientists, and other stakeholders to translate business requirements into technical solutions.
• Participate in architecture and design discussions and contribute to technical decisions.
• Perform code reviews and help establish engineering best practices.
• Mentor other engineers and contribute to the technical growth of the team.
• Stay current with developments in AI, machine learning, LLMs, and related technologies and identify opportunities to apply them to products.

Technical Skills

Programming: Python, Java, SQL

AI/ML: Machine Learning, Generative AI, LLMs, NLP, embeddings, RAG, prompt engineering, model evaluation

AI Frameworks: LangChain, LlamaIndex, PyTorch, TensorFlow, or equivalent

Backend: REST APIs, microservices, distributed systems

Cloud: AWS / Azure / Google Cloud

Databases: SQL and NoSQL databases, vector databases

DevOps: Git, CI/CD, Docker, Kubernetes, monitoring and observability

What You’ll Bring

• Strong problem-solving and analytical skills.
• Ability to turn ambiguous problems into practical technical solutions.
• Strong ownership and ability to drive projects from concept to production.
• A product-oriented mindset with a focus on measurable outcomes.
• Ability to balance experimentation with production-quality engineering.
• Strong communication and collaboration skills.
• Curiosity and willingness to continuously learn and experiment with emerging AI technologies.

Role Details

Job Title: Senior Software Engineer – AI Engineer
Experience: 5+ years
Employment Type: Full-time
Department: Engineering / Artificial Intelligence

Qualifications

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of professional software engineering experience, with experience building and deploying production systems.
• Strong programming skills in Python and/or Java.
• Strong understanding of software engineering principles, object-oriented design, data structures, algorithms, and system design.
• Hands-on experience with Generative AI, LLMs, or machine learning systems.
• Experience working with APIs and integrating AI/ML models into applications.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with databases and data processing systems.
• Strong understanding of testing, debugging, CI/CD, version control, and production operations.

Preferred Qualifications

• Experience with OpenAI, Anthropic, Gemini, or other foundation models.
• Experience building RAG-based applications using embeddings and vector databases.
• Experience with vector databases such as Pinecone, Weaviate, Milvus, OpenSearch, or pgvector.
• Experience with frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
• Experience developing AI agents and too…