Senior AI Software Engineer

AppSierra; Hyderabad; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

AppSierra is seeking a software architect/engineer with an AI/ML focus to design, build, and scale modern applications in Hyderabad. Lead development of prototypes and enterprise-grade products, and drive roadmaps, timelines, and technical decisions.

You'll work across AI applications, cloud APIs, and collaborative initiatives with global teams in the US and Europe, applying state-of-the-art frameworks and MLOps practices to deliver impactful solutions.

Qualifications

• Bachelor’s degree in Computer Science, IT, AI/ML, or Data Science (Masters preferred).
• 5+ years of experience as a Software Engineer or AI/ML role.
• Proficiency in Python or JavaScript/TypeScript; Java/Go/C++ a plus.
• Experience with AI frameworks and LangChain, LlamaIndex, Haystack.
• Cloud experience (AWS/Azure/GCP); RESTful APIs and microservices.

Responsibilities

• Development: Design, develop, ship, and maintain applications using modern frameworks and technologies.
• AI Applications: Select and deploy foundation models and LLMs as a service; write prompts and optimize performance.
• Cloud: Build APIs, microservices, and serverless functions; manage cloud and CI/CD pipelines.
• Communications: Collaborate with business leaders in India, US, and Europe; communicate status and insights.
• Collaboration: Work with product managers, data scientists, domain experts, and customers to shape requirements.
• Leadership: Build relationships, define alternatives, and establish team processes.

Skills

Python

JavaScript/TypeScript

5+ years experience

LangChain

LlamaIndex

Haystack

TensorFlow

PyTorch

MLOps

Excellent communication

Collaboration

Education

Bachelor’s in Computer Science/Information Technology/AI/ML/Data Science

Masters preferred

Tools

AWS

Azure

GCP

RESTful APIs

Microservices

Containerization

Job description

• Development: Design, develop, ship, and maintain applications using modern frameworks and technologies. Own roadmaps, plans, and timelines. Lead architectural discussions and make technical decisions. Work on both rapid prototypes and enterprise-quality, high-scale products.
• AI Applications: Select and deploy foundation models and LLMs as a service. Write and refine prompts. Measure, evaluate, and optimize model performance. Integrate models into workflows. Extend model capabilities with memory, tools, guardrails, and multi-agent patterns. Acquire, clean, and synthesize data sets. Partner with domain experts to capture knowledge. Stay current with AI trends and apply them to solve real-world problems.
• Cloud: Leverage the tools and services of a major cloud provider. Build APIs, microservices, and serverless functions to support application functionality. Manage our cloud environment and CI/CD pipelines. Make tradeoffs around performance and cost.
• Communications: Partner with business leaders in India, US, and Europe. Clearly communicate status, technical challenges, tradeoffs, and insights.

Job Responsibilities

• Development: Design, develop, ship, and maintain applications using modern frameworks and technologies. Own roadmaps, plans, and timelines. Lead architectural discussions and make technical decisions. Work on both rapid prototypes and enterprise-quality, high-scale products.
• AI Applications: Select and deploy foundation models and LLMs as a service. Write and refine prompts. Measure, evaluate, and optimize model performance. Integrate models into workflows. Extend model capabilities with memory, tools, guardrails, and multi-agent patterns. Acquire, clean, and synthesize data sets. Partner with domain experts to capture knowledge. Stay current with AI trends and apply them to solve real-world problems.
• Cloud: Leverage the tools and services of a major cloud provider. Build APIs, microservices, and serverless functions to support application functionality. Manage our cloud environment and CI/CD pipelines. Make tradeoffs around performance and cost.
• Communications: Partner with business leaders in India, US, and Europe. Clearly communicate status, technical challenges, tradeoffs, and insights.

Collaboration: Work closely with product managers, designers, data scientists, domain experts, and lead customers. Help shape requirements and roadmap. Help manage complex tradeoffs in speed, quality, and scope.

• Leadership: Build relationships, raise issues, define alternatives, and uncover resources. Establish practices, processes, and culture for a growing team.

Requirements

• Education: Bachelor’s in Computer Science, Information Technology, AI/ML, or Data Science fields. Masters preferred.
• Experience: 5+ years of experience as a Software Engineer, as an AI/ML, or in a similar role.
• Development: Proficient in Python or JavaScript/Typescript. Java/Go/C++ nice to have. Hands-on back-end experience. Familiarity with common front-end technologies. Familiarity with relational, non-relational, and vector databases. Comfort with Agile processes.
• AI: More than one year of engineering experience (including relevant projects) building production-quality applications leveraging LLMs. Experience with frameworks for AI applications (e.g., LangChain, LlamaIndex, Haystack). Knowledge of deep learning and ML frameworks (e.g., TensorFlow, PyTorch). Experience managing data sets. Familiarity with MLOps.
• Cloud: Experience with cloud platforms (e.g., AWS, Azure, or GCP). Solid understanding of RESTful APIs, microservices architecture, and containerization.
• Soft skills: Excellent communication and collaboration skills. Results-driven, entrepreneurial, and comfortable working from 0-1.