Advisory Software Engineer

Engineering Work

• Design and ship production backend services in Python or Java on AWS with tests, observability, and operational runbooks.
• Build agent runtimes, MCP tool servers, retrieval and grounding pipelines, evaluation systems, guardrails, authentication, rate limiting, caching, and tracing.
• Participate in architecture and code reviews, on-call rotation, incident response, and blameless postmortems.

Required Qualifications

• 6–8 years of professional experience.
• 5+ years in technical product ownership, technical program management, or engineering delivery leadership on software platforms, including 2+ years accountable for a backlog.
• Production delivery experience with AI, machine learning, or LLM-based features.
• Fluency with prompting, retrieval-augmented generation, tool calling, agent orchestration, evaluation, and guardrails.
• Strong API literacy and experience facilitating Scrum or Kanban with distributed teams.
• Excellent written communication and comfort working with ambiguity and senior stakeholders.

Preferred Qualifications

• Exposure to Amazon Bedrock AgentCore, Azure AI Foundry, Vertex AI Agent Builder, MCP, or a comparable tool-integration protocol.
• Experience defining LLM evaluation frameworks, including golden sets, LLM-as-judge, human review loops, and regression gates.
• Familiarity with Snowflake or an equivalent enterprise data platform and AI data governance constraints.
• Experience with AI governance or model risk processes in regulated or enterprise environments.
• Background in logistics, shipping, supply chain, or B2B SaaS.
• CSPO, PSPO, CSM, PSM, or SAFe certification.

Workplace

• The role is full-time and requires working in the office three days per week.
• The job location is listed as Pune or Noida.

About Pitney Bowes