Senior Software Engineer

Title: Sr. Software Engineer, AI

Sector: IT & Services Consulting

Location: Permanent Work From Home (Anywhere in India)

Duration: 1-Year - Renewable Contract

Working Hours: Monday to Friday, Eastern Standard Time Zone

The impact you will have:

Sr. Software Engineer AI

Your work will span:

1. Customer projects

   focused on advanced AI-driven solutions and cloud development.

2. Internal projects

   dedicated to building Softchoice's intellectual property (IP) and innovative AI-based software that differentiates us in the market.

greenfield AI application development

What you’ll do:

• Design and implement scalable AI architectures, leveraging cloud-native technologies, containerization, and serverless computing.
• Optimize AI model performance, including fine-tuning LLMs, indexing, chunking strategies, and retrieval-augmented generation (RAG).
• Build and integrate AI solutions with APIs and cloud services, including Azure AI/ML, AWS AI/ML services, and Google AI solutions.
• Implement MLOps and LLMOps pipelines to streamline AI model lifecycle management, using CI/CD best practices and infrastructure-as-code (IaC).
• Develop and implement AI agents using Agent AI frameworks, including autonomous AI agents for business automation, workflow optimization, and intelligent decision-making.
• Work closely with cross-functional teams, including data scientists, software engineers, DevOps engineers, and business stakeholders, to deliver impactful AI solutions.
• Lead innovation and research into emerging AI technologies and frameworks to keep Softchoice at the forefront of AI-driven solutions.
• Develop reusable AI solution components and comprehensive technical documentation.
• Support pre-sales and sales teams by providing AI solution expertise, helping to identify and define customer opportunities.

What you’ll bring to the table:

• Over 8 years of experience in software engineering, with at least 2 years focused on AI development preferred.
• Expertise in Python and relevant AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, FastAPI, Flask, LangChain, LlamaIndex).
• Hands-on experience with at least one of the following: Azure OpenAI Services, AWS Bedrock, GCP Vertex, open-source LLMs, or generative AI application development.
• Proficiency in cloud computing (Azure, AWS, or Google Cloud) and AI platform services.
• Experience with CI/CD pipelines and DevOps methodologies (Azure DevOps, GitHub Actions, Jenkins, CircleCI, GitLab CI/CD).
• Containerization and orchestration experience (Docker, Kubernetes) with a focus on AI workloads.
• Proficiency in search and indexing solutions (e.g., Azure AI Search, Kendra, Opensearch) for RAG applications.
• Strong understanding of API development and integration with AI-driven solutions.
• Experience in prompt engineering, model tuning, and AI application optimization.
• Knowledge of MLOps and LLMOps best practices, including automation and deployment strategies.
• Experience building AI-driven agent applications, including multi-agent architectures, planning, and reasoning.
• Experience with Agent AI frameworks such as Auto-GPT, LangChain, CrewAI, or OpenAI’s Function Calling for structured agent workflows.
• Proven experience in developing rapid proof-of-concept as well as scalable, production-ready full-stack applications.
• Cloud certifications (AWS, Azure, GCP) and AI/ML certifications preferred.