Back to Browse Jobs
Brace Infotech Private Limited
Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Hyderabad · On-site · 5-8 Yrs · Oct 31
4 open roles1 posted in 7d4 in 30d
Hiring: Engineering
Job description
• 5+ years of software development experience with strong hands-on expertise in Python.
• Strong hands-on experience in Generative AI and LLM application development.
• Strong hands-on experience with Amazon Bedrock and foundation models.
• Hands-on experience with RAG (Retrieval-Augmented Generation) architecture.
• Experience with Prompt Engineering and prompt optimization.
• Experience with embeddings, vector databases, semantic search, and vector search.
• Experience developing AI Agents / Agentic AI solutions using Amazon Bedrock.
• Experience with Amazon Bedrock Knowledge Bases, Agents, and Guardrails.
• Experience with LangChain, LlamaIndex, LangGraph, or equivalent GenAI frameworks.
• Experience integrating GenAI applications with REST APIs, enterprise applications, databases, and document repositories.
• Strong knowledge of AWS services, including S3, Lambda, API Gateway, IAM, CloudWatch, and OpenSearch.
• Strong SQL and data-processing skills.
• Experience with Git, CI/CD, Docker, and AWS cloud deployment.
• 5+ years of software development experience, with strong Python expertise.
• Proven hands-on experience building and deploying production-grade GenAI/LLM applications using Amazon Bedrock.
• Strong understanding of Bedrock foundation models, model invocation, inference parameters, and prompt-based application development.
• Hands-on experience building RAG solutions using Bedrock Knowledge Bases, embeddings, and vector search.
• Hands-on experience developing Bedrock Agents / Agentic AI solutions and integrating agents with enterprise tools and APIs.
• Strong understanding of Prompt Engineering, LLM evaluation, hallucination reduction, and response optimization.
• Experience implementing Bedrock Guardrails and AI safety controls.
• Strong experience with AWS cloud architecture and services required for GenAI solutions.
• Experience with API integration, databases, document repositories, and enterprise systems.
• Understanding of AI security, including prompt injection, data leakage prevention, IAM, authentication, authorization, and secure API integration.
• Experience with LLM observability, application monitoring, logging, performance optimization, and token/cost management.
• Ability to design and develop scalable, secure, reliable, and production-ready GenAI solutions.
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 6 November 2026
- How do I apply for GENAI Developer with AWS Bedrock at Brace Infotech Private Limited?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Brace Infotech Private Limited may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this GENAI Developer with AWS Bedrock role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is GENAI Developer with AWS Bedrock remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this GENAI Developer with AWS Bedrock role at Brace Infotech Private Limited?
- This is a mid-level GENAI Developer with AWS Bedrock role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.