Senior AI Software Engineer

AppSierra; Hyderabad; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

AppSierra is seeking an experienced software engineer with AI/ML focus to design, develop, and deploy next-gen applications in Hyderabad. You will own roadmaps, collaborate with cross-functional teams, and lead architectural decisions for high-scale products.

Candidates should have 5+ years in software/AI roles, strong Python or JavaScript/TypeScript skills, and hands-on experience with AI frameworks, cloud services, and MLOps. Excellent communication and 0→1 mindset are valued.

Qualifications

• Bachelor's degree in CS/IT/AI/Data Science, or related field.
• 5+ years as Software Engineer/AI/ML or similar role.
• Proficient in Python or JavaScript/Typescript; Java/Go/C++ optional.
• Hands-on back-end experience; familiarity with front-end tech.
• Experience with LLM production apps and AI frameworks.

Responsibilities

• Design, develop, ship, and maintain applications with modern frameworks.
• Lead architectural discussions and technical decision-making.
• Select and deploy foundation models; integrate LLMs into workflows.
• Build APIs, microservices, and serverless functions; manage CI/CD.
• Collaborate with product, data science, and customers; shape roadmap.

Skills

Python

JavaScript/TypeScript

REST APIs

Microservices

Cloud (AWS/Azure/GCP)

ML/AI

MLOps

LangChain

LlamaIndex

Haystack

TensorFlow

PyTorch

Data handling

Agile

Communication

Education

Bachelor's in CS/IT/AI/Data Science

Masters preferred

Tools

LangChain

LlamaIndex

Haystack

TensorFlow

PyTorch

Job description

Job Description:

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.