Hybrid onsite at Jersey City, NJ, 07310 / New York, NY, 10041 / Dallas, TX, 75019 / Tampa, FL, 33647 / Boston, MA, 02210
CTH
2 round interiew process
Description
Software Engineering
5 8 years of professional software development experience.
Strong programming skills in Python and/or Java, SQL
Experience building scalable, maintainable, and production-grade applications.
Strong understanding of:
REST APIs
Microservices
Event-driven architecture
Databases
Git-based development
Automated testing
CI/CD pipelines
Strong knowledge of software design principles and architectural patterns.
Generative AI & Large Language Models
Hands-on experience building applications using Generative AI and LLM technologies.
Experience with prompt engineering and structured LLM interactions.
Knowledge of:
Retrieval Augmented Generation (RAG)
Embeddings
Vector search and vector databases
Context management and grounding techniques
Experience integrating LLMs through APIs and SDKs.
Experience with at least one cloud AI platform such as:
AWS Bedrock
Snowflake Cortex
Agentic AI Development
Hands-on experience designing and implementing AI agents and agentic workflows.
Strong understanding of:
Planning and task decomposition
Tool and function calling
Multi-agent systems
Memory and context management
Human-in-the-loop workflows
Agent orchestration
Reflection and validation patterns
Error handling and recovery strategies
Experience with agent orchestration technologies
Experience building agents that integrate with enterprise applications, APIs, databases, and developer tools.
AI-Assisted Development
Minimum 2 years of practical experience using AI-powered development assistants.
Strong hands-on experience with Kiro and Claude for software development.
Demonstrated ability to effectively use AI assistants for:
Requirements analysis
Specification Generation
Solution architecture
Code generation
Refactoring
Test generation
Debugging
Documentation
Code reviews
Developer productivity automation
Proven ability to validate and enhance AI-generated code rather than relying solely on generated outputs.
Preferred Qualifications
Experience with Model Context Protocol (MCP) and MCP server/tool development.
Experience with AWS services such as:
Bedrock
EC2
S3
Experience with vector databases and enterprise search technologies.
Knowledge of observability and evaluation frameworks for LLM and agent-based applications.
Experience implementing AI security, governance, and responsible AI practices.
Experience building enterprise data and analytics solutions.
Experience working in Agile/Scrum environments.
What We Are Looking For
A strong hands-on engineer who can build and deliver production-ready solutions.
Ability to translate business challenges into practical AI-powered solutions.
Strong understanding of both traditional software engineering and modern AI development approaches.
Ability to determine when an AI agent is appropriate versus a conventional software solution.
Exceptional problem-solving, analytical, and debugging skills.
Self-starter with strong ownership and accountability.
Comfortable working in a rapidly evolving AI ecosystem.
Excellent communication, collaboration, and stakeholder management skills.
Demonstrated ability to improve engineering productivity through AI-assisted development while maintaining high standards for quality, security, and reliability
Education, Training &/or Certification:
Bachelor s degree (or higher) in a technical discipline (e.g. Comp Sci or Engineering)
EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.