This position is posted by Jobgether on behalf of Velotio Technologies. We are currently looking for a Senior Software Engineer (Gen AI) in India.
As a Senior Software Engineer specializing in Generative AI, you will lead the design, development, and deployment of advanced AI agents on AWS Cloud, delivering enterprise-grade, production-ready solutions. You will work closely with cross-functional teams to architect scalable systems, integrate cutting-edge AI frameworks, and optimize performance for high-volume workloads. Your role will involve implementing innovative prompt engineering strategies, mentoring engineering teams, and presenting technical solutions to both technical and executive stakeholders. This position is ideal for a technically strong, innovative engineer who thrives in fast-paced, collaborative environments and is passionate about building impactful AI-driven applications at scale.
Accountabilities
In this role, you will:
- Design and implement end-to-end deployment strategies for Generative AI agents on AWS Cloud
- Architect scalable, fault-tolerant AI systems capable of handling millions of requests
- Integrate and optimize AI frameworks such as LangChain, CrewAI, AutoGen, and LlamaIndex for specific use cases
- Develop prompt engineering techniques, fine-tuning strategies, and event-driven architectures for optimal AI performance
- Build full-stack applications, REST APIs, and microservices architectures with security, scalability, and monitoring best practices
- Implement Infrastructure as Code using Terraform, and set up automated CI/CD pipelines for seamless deployments
- Design and optimize database solutions, including vector databases, SQL, and NoSQL systems
- Mentor teams, conduct training sessions, and present AI solutions to technical and non-technical audiences
- Collaborate with stakeholders to align AI solutions with business goals and ensure seamless project execution
Requirements
The ideal candidate will bring:
- 5+ years of experience in cloud architecture and scalable application development
- 1+ years of hands-on experience with Generative AI, LLMs, and AI agent frameworks
- Strong programming skills in Python and Node.js with production-level experience
- Proficiency with REST API design, implementation, and best practices
- Solid understanding of SQL, NoSQL, and vector databases
- Familiarity with AI frameworks such as LangChain, CrewAI, AutoGen, and LlamaIndex
- Experience with AWS services including SageMaker, Bedrock, Lambda, ECS, RDS, and CloudFormation
- Knowledge of Terraform for infrastructure automation
- Excellent communication skills for engaging with both technical teams and business stakeholders
- Experience mentoring development teams and guiding AI integration
- Bonus: AWS Machine Learning Specialty certification, experience in Telco or Banking domains, advanced Terraform expertise, and enterprise security knowledge
Benefits
- Fully remote work flexibility
- Flat hierarchy and fast decision-making culture
- Opportunities for rapid growth, ownership, and leadership
- Inclusive and diverse work environment
- Regular celebrations and recognition of achievements
- Exposure to cutting-edge AI technologies and enterprise-scale systems
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.📊 It compares your profile to the job's core requirements and past success factors to determine your match score.🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.Thank you for your interest!
