GenAI Developer

Role overview

We are looking for a skilled Generative AI Developer to join the AI Store product team in Vijayawada. In this position, you will work as the dedicated AI specialist inside a squad of 7 to 10 software engineers across backend, frontend, and full-stack development. The role goes beyond standard development work: you will act as the team’s main resource for GenAI knowledge, hands-on implementation, technical mentoring, and delivery leadership.

Reporting to the Generative AI Architect, you will convert architectural direction into working, production-ready solutions. You will also help upskill the wider squad through guidance and training while independently delivering advanced GenAI and Agentic AI capabilities for enterprise-grade products.

Key responsibilities

• Serve as the squad’s in-house GenAI specialist and central contact for AI-related decisions, implementation support, and technical direction.
• Architect, build, and improve production-grade GenAI and Agentic AI applications, services, and data/automation pipelines using Python.
• Translate architectural designs from the GenAI Architect into implemented solutions that meet enterprise standards.
• Embed and use large language models such as OpenAI, Azure OpenAI, Hugging Face, Anthropic, and Cohere within business workflows and products.
• Create Retrieval-Augmented Generation systems, multi-agent orchestration, and agentic workflows.
• Develop, support, and enhance APIs, automation scripts, and AI pipelines on the AIForce platform.
• Coach backend, frontend, and full-stack engineers on GenAI concepts, tools, frameworks, and best practices so they can contribute to AI features.
• Evaluate LLM output quality, refine prompts, and support model fine-tuning when needed.
• Promote safe AI, responsible AI, and governance-focused development practices within the team.
• Test, observe, and resolve issues in deployed GenAI services and models in production.
• Keep track of new GenAI frameworks, model advances, and market trends, and recommend useful innovations for adoption.

Required skills and experience

• Strong Python skills, with at least 3 years of experience building production applications.
• Practical experience with GenAI and agentic frameworks such as LangChain, LlamaIndex, Hugging Face Transformers, AutoGen, CrewAI, or similar tools.
• Experience building RAG systems, vector search solutions, and multi-agent architectures.
• Working knowledge of LLM APIs and model ecosystems including OpenAI, Azure OpenAI, Anthropic, Cohere, and open-source models.
• Experience with vector databases and search tools such as Pinecone, Weaviate, Azure AI Search, FAISS, or Chroma.
• Good understanding of prompt engineering, chain-of-thought methods, and evaluation/observability practices for LLMs.
• Understanding of fine-tuning approaches such as RLHF, PEFT, and LoRA; practical exposure is an added advantage.
• Knowledge of Safe AI principles, AI security, governance frameworks, and responsible AI development.
• Hands-on experience building AI solutions on at least one cloud platform.
• Strong software engineering fundamentals, including Git, CI/CD, automated testing, and API design.
• Ability to communicate clearly and mentor non-AI developers on complex AI topics.

Additional requirements

• Experience using MLOps tools such as MLflow, Azure ML Pipelines, or similar platforms.
• Exposure to multimodal AI models, including vision-language systems and speech-to-text integration.
• Previous experience acting as an AI champion or technical lead in a cross-functional product team.
• Familiarity with enterprise AI governance and compliance practices.

Location

This role is based in Vijayawada, Andhra Pradesh, India.