{"id":3517964,"url":"https://alion.io/job/flipkart-sde-3-fpg-engineering","title":"SDE-3, FPG Engineering","company":{"id":2722,"name":"Flipkart","domain":"flipkart.com","url":"https://alion.io/company/flipkart","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"TurboHire","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"PCI DSS","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Model Context Protocol","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-10-30T10:30:25Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-04T23:13:22Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About the Role\nWe are looking for a Software Engineer (SDE-II) with strong Applied AI fundamentals and an AI-Native engineering mindset to join Flipkart's Fintech & Payments Engineering Group (FPG).\nFPG powers payments, credit, and fraud infrastructure for hundreds of millions of Indians. The complexity, scale, and regulatory constraints of this domain make it one of the most demanding environments in which to build autonomous engineering agents. You will work at the frontier of what agentic systems can do, an environment where correctness failures have direct financial and trust consequences..\nYou will grow rapidly alongside some of the sharpest fintech and AI engineers in the country, solving problems at a scale.\nJob Responsibilities\n1. Agentic Development Lifecycle (ADLC)\nDesign and build autonomous agent pipelines that cover end-to-end ADLC stages: requirements analysis, technical design, code generation, code review, test generation, regression validation, deployment sequencing, and post-deployment monitoring.\nArchitect multi-agent systems for engineering workflows: orchestrator agents that decompose engineering tasks, specialist sub-agents (design agent, coding agent, test agent, deployment agent), and critic agents that validate agent outputs before human review.\nBuild human-in-the-loop checkpoints into agentic pipelines - define precisely where agents operate autonomously, where they escalate for human validation, and what constitutes a safe boundary for unattended agent execution in a regulated financial environment.\nImplement agent memory and context management for long-horizon development tasks: persistent agent state across ADLC stages, codebase context injection, retrieval-augmented design and code generation.\nBuild agent tool suites for software development tasks: code execution sandboxes, static analysis integrations, test harness runners, schema validators, API contract checkers, and deployment pipeline hooks that agents invoke autonomously.\nDesign agent evaluation frameworks: measure agent output quality, code correctness, design adherence, test coverage, and regression rates - across development task types and domain complexity levels.\nOperate production agentic pipelines: monitor agent reliability, detect agent failures and hallucinations, manage agent versioning, and continuously improve agent performance through feedback loops and fine-tuning signals.\n2. Domain-Specific Agent Engineering for Fintech\nBuild agents that understand the fintech and payments domain: agents that reason about idempotency, exactly-once semantics, transaction integrity, PCI-DSS compliance constraints, and financial audit requirements when generating designs and code.\nDesign automated validation agents that check agent-generated payment code against domain correctness criteria: settlement logic, reconciliation invariants, fraud signal handling, and regulatory compliance rules.\nBuild test-generation agents specialised for financial workflows: agents that generate edge-case scenarios for payment failures, partial settlements, currency rounding, duplicate transaction handling, and idempotency violations.\nDesign deployment and incident response agents: agents that autonomously execute canary deployments, monitor payment success rate SLOs, detect regressions, and trigger rollbacks without human intervention.\n3. Agent Infrastructure & Platform\nBuild the shared agent infrastructure layer for FPG: agent orchestration framework, tool registry, shared memory stores, evaluation pipelines, and agent observability - enabling multiple teams to deploy ADLC agents on a common platform.\nDesign agent communication protocols: how agents hand off tasks, share intermediate outputs, resolve conflicts between agent decisions, and maintain consistency across a multi-agent development pipeline.\nImplement agent safety and guardrails: rate limiting on agent-initiated actions, human approval workflows for high-risk operations (production deployments, schema migrations, third-party API changes), and audit logging of all agent decisions.\n4. Technical Leadership\nDefine the ADLC architecture and agent design standards for FPG - establish what good agent system design looks like across reliability, correctness, auditability, and domain-appropriateness.\nMentor SDE-I and SDE-II engineers on agent system design, evaluation, and operation - raise the team's capability to build and operate autonomous development pipelines.\nDrive the adoption and evolution of the ADLC across FPG teams - measure adoption, track ADLC-driven productivity improvements, and identify the next stages of the development lifecycle to automate.\nWhat Success Looks Like\nAutonomous agent pipelines you build measurably accelerate FPG's development velocity - shipping well-tested, domain-correct fintech features faster with fewer human engineering cycles.\nAgent systems operate reliably in production: low hallucination rates on domain-specific tasks, correct escalation to humans at appropriate checkpoints, and verifiable correctness on regulated financial code.\nThe ADLC platform you build becomes the foundation other FPG teams build their own domain-specific development agents on.\nFPG engineers spend more time on high-judgment architectural and product decisions.\nYou (Must Haves)\n8+ years of software engineering experience, with hands-on production experience building autonomous or semi-autonomous agent systems.\nDeep experience with multi-agent orchestration: task decomposition, agent-to-agent handoffs, critic/validator agent patterns, and managing agent state across long-horizon tasks.\nExperience building agents with real tool use: code execution, file system operations, API calls, database queries, test harness runners and agents that take consequential actions.\nStrong understanding of agent reliability engineering: failure modes (hallucination, tool misuse, context loss, runaway loops), detection strategies, and guardrail design.\nExperience designing human-in-the-loop systems: defining autonomous vs. supervised boundaries, building approval workflows, and audit-logging agent decisions for compliance.\nStrong distributed engineering fundamentals: event-driven architectures, APIs, message brokers, distributed caches and databases.\nProficiency in Java and Python. Deep familiarity with LLM APIs and agent frameworks\nBE/BTech in Computer Science or equivalent.\nNice to Haves\nExperience in fintech, payments, or financial services - understanding the correctness, compliance, and reliability standards that agent-generated code must meet in this domain.\nExperience building code-generating or code-reviewing agents: agents that write, refactor, or validate production code with measurable quality outcomes.\nFamiliarity with LLM fine-tuning, reinforcement learning, or preference optimisation for improving domain-specific agent task performance.\nExperience with MCP (Model Context Protocol) server development - building tool surfaces that agents consume.\nPublished work on agentic systems, ADLC methodologies, or AI-driven software engineering.","description_format":"text","description_chars":7083,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketplaces","Online Groceries"],"lifecycle":[{"event":"open","at":"2026-10-30T11:10:29Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":4,"expected_fill_days":23,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-11-04T06:34:25Z"},"pay":null,"html_url":"https://alion.io/job/flipkart-sde-3-fpg-engineering","json_url":"https://alion.io/job/flipkart-sde-3-fpg-engineering.json","meta":{"generated_at":"2026-11-05T00:55:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1121,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2722},"rest":"https://alion.io/mcp/rest/get_company?id=2722"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fflipkart-sde-3-fpg-engineering"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fflipkart-sde-3-fpg-engineering"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fflipkart-sde-3-fpg-engineering"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/flipkart-sde-3-fpg-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fflipkart-sde-3-fpg-engineering"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3517964}},{"tool":"search_jobs","arguments":{"company":"flipkart.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3517964},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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