Must Have Qualifications: 7 years of development experience strong Python expertise and at
least 1 year of AI experience including building AI agents and working in agentic AI development
environments. Required experience with AWD Docker LLMs Rest APIs and SQL. Nice to have
skills in Advanced SQL Angular Java Jenkins Kafka and Spring.
Schedule: Standard w/ on call rotation
Shortlisting Deadline: June 26
Interview Information:
Rounds: 2 rounds
Duration: 45 60 mins
Interview Type: 1
1st round virtual 2nd round Onsite
Interview Placeholders: 6/30 10:30 11:15 am 7/1 11:00 11:45 am 7/2 10:30 11:15 am
Interview Debrief: TBD will be scheduled with all suppliers once all interview rounds are
completed.
Job Description: Developer-Full Stack Specialist
Required Experience & Education
5 years of professional software development experience.
1 years of hands-on experience building and deploying agentic AI/LLM applications in
Production.
Bachelors degree in computer science or related field.
Qualifications:
Strong analytical/problem-solving skills.
Strong Python development skills (build test deploy) with CI/CD and Docker on AWS.
Experience building agentic AI solutions using LangChain/LangGraph and integrating tools
via MCP (Model Context Protocol).
Experience integrating LLM workflows with APIs and data sources (SQL; RAG/embeddings a
plus).
Clear communicator; collaborative open-minded team player.
Experience with AI-assisted coding tools (e.g. VS Code Amazon Q/Kiro Copilot or similar).
Nice to have: Trading or Financial Industry background Kafka/event-driven systems
React/Angular Advanced SQL/Vector DBs Java.
Responsibilities:
End-to-end software development: including analysis design development automated
testing deployment and maintenance using industry best practices and security
standards.
Performance optimization: analyze system performance identify bottlenecks and
implement solutions to enhance application efficiency and scalability.
Collaborative solution delivery: partner with business stakeholders to gather requirements
leverage proof-of-concepts for technical decisions and implement solutions with cross-
functional teams.
Production support and maintenance: support applications you build across environments
resolve critical issues and fulfill ad hoc requests to ensure seamless business operations.
Keys to Success:
Adaptability: Quick learner who seamlessly adapts to new technologies and project
requirements while consistently delivering high-quality results.
Problem-Solving: Strong analytical skills with proven ability to rapidly assess complex
situations make sound technical decisions and implement effective solutions under
pressure.
Ownership & Drive: Self-motivated engineer who takes complete ownership of deliverables
proactively identifies process improvements and ensures successful project completion.
Communication: Excellent interpersonal skills enabling clear effective communication
across all stakeholders - from technical teams to leadership and external partners.
Resilience: Excels in dynamic environments with shifting priorities aggressive deadlines
and 24/7 support requirements during on-call rotations.
Required Skills :
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No
Must Have Qualifications: 7 years of development experience strong Python expertise and at least 1 year of AI experience including building AI agents and working in agentic AI development environments. Required experience with AWD Docker LLMs Rest APIs and SQL. Nice to have skills in Advanced SQ...
Must Have Qualifications: 7 years of development experience strong Python expertise and at
least 1 year of AI experience including building AI agents and working in agentic AI development
environments. Required experience with AWD Docker LLMs Rest APIs and SQL. Nice to have
skills in Advanced SQL Angular Java Jenkins Kafka and Spring.
Schedule: Standard w/ on call rotation
Shortlisting Deadline: June 26
Interview Information:
Rounds: 2 rounds
Duration: 45 60 mins
Interview Type: 1
1st round virtual 2nd round Onsite
Interview Placeholders: 6/30 10:30 11:15 am 7/1 11:00 11:45 am 7/2 10:30 11:15 am
Interview Debrief: TBD will be scheduled with all suppliers once all interview rounds are
completed.
Job Description: Developer-Full Stack Specialist
Required Experience & Education
5 years of professional software development experience.
1 years of hands-on experience building and deploying agentic AI/LLM applications in
Production.
Bachelors degree in computer science or related field.
Qualifications:
Strong analytical/problem-solving skills.
Strong Python development skills (build test deploy) with CI/CD and Docker on AWS.
Experience building agentic AI solutions using LangChain/LangGraph and integrating tools
via MCP (Model Context Protocol).
Experience integrating LLM workflows with APIs and data sources (SQL; RAG/embeddings a
plus).
Clear communicator; collaborative open-minded team player.
Experience with AI-assisted coding tools (e.g. VS Code Amazon Q/Kiro Copilot or similar).
Nice to have: Trading or Financial Industry background Kafka/event-driven systems
React/Angular Advanced SQL/Vector DBs Java.
Responsibilities:
End-to-end software development: including analysis design development automated
testing deployment and maintenance using industry best practices and security
standards.
Performance optimization: analyze system performance identify bottlenecks and
implement solutions to enhance application efficiency and scalability.
Collaborative solution delivery: partner with business stakeholders to gather requirements
leverage proof-of-concepts for technical decisions and implement solutions with cross-
functional teams.
Production support and maintenance: support applications you build across environments
resolve critical issues and fulfill ad hoc requests to ensure seamless business operations.
Keys to Success:
Adaptability: Quick learner who seamlessly adapts to new technologies and project
requirements while consistently delivering high-quality results.
Problem-Solving: Strong analytical skills with proven ability to rapidly assess complex
situations make sound technical decisions and implement effective solutions under
pressure.
Ownership & Drive: Self-motivated engineer who takes complete ownership of deliverables
proactively identifies process improvements and ensures successful project completion.
Communication: Excellent interpersonal skills enabling clear effective communication
across all stakeholders - from technical teams to leadership and external partners.
Resilience: Excels in dynamic environments with shifting priorities aggressive deadlines
and 24/7 support requirements during on-call rotations.