{"id":1459636,"url":"https://alion.io/job/zingly-senior-software-engineer","title":"Senior Software Engineer","company":{"id":1043064,"name":"Zingly","domain":"zingly.ai","url":"https://alion.io/company/zingly","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","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":{"min_usd":17000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":123},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Arize Phoenix","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Braintrust","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Deepgram","optional":false},{"name":"ElasticSearch","optional":false},{"name":"ElevenLabs","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Google ADK","optional":false},{"name":"GraphRAG","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LiveKit","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"OpenSearch","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Rust","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Terraform","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Tool Use","optional":false},{"name":"Twilio","optional":false},{"name":"TypeScript","optional":false},{"name":"Weaviate","optional":false},{"name":"WebRTC","optional":false},{"name":"WebSockets","optional":false},{"name":"Weights & Biases","optional":false},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-09-29T11:39:31Z","employer_posted_date":null,"last_verified_at":"2026-09-29T11:39:31Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"We're looking for a Senior Software Engineer who combines strong customer-facing skills, hands-on AI implementation, and deep software engineering judgment. You'll lead complex customer solutions from discovery and demonstration through architecture, coding, agent configuration, production launch, and ongoing optimization. You must be able to explain a proposed solution clearly, build its critical components yourself, and stay accountable for how it performs.\nYour work will span customer workflows, voice and digital agents, full-stack development, and enterprise integrations. You'll also turn lessons from deployments into reusable platform capabilities and help other engineers become stronger builders and customer partners.\nResponsibilities:\nTechnical discovery: Lead technical discovery with business and engineering stakeholders, uncovering workflow requirements, system constraints, and measurable outcomes.\nArchitecture and commitments: Translate ambiguous needs into a practical architecture, implementation plan, and clear customer commitments.\nDemos and prototypes: Build demos and prototypes that validate the proposed approach, then develop them into maintainable production solutions.\nCode authorship: Personally write and review code for critical services, integrations, application features, and agent tools.\nAgent deployment: Design and deploy voice and digital agents, including prompts, conversation flows, retrieval, memory, orchestration, and human escalation.\nSystem integration: Architect integrations with CRM, contact center, helpdesk, and core enterprise systems, accounting for authentication, data mapping, retries, and partial failures.\nSolution trade-offs: Decide when to use platform configuration, low-code capabilities, or custom development, balancing speed with reliability and maintainability.\nLaunch criteria: Define evaluation and launch criteria covering business task completion, AI quality, security, latency, cost, and operational readiness.\nSecurity and governance: Design controls for prompt injection, tool permissions, sensitive data, tenant isolation, and consequential agent actions.\nComplex troubleshooting: Lead complex troubleshooting across model behavior, prompts, application code, integrations, and infrastructure.\nGo-live ownership: Own technical readiness through go-live and stabilization, and use production evidence to improve customer outcomes.\nMentorship and roadmap: Build reusable deployment patterns and platform capabilities, mentor engineers, and feed recurring customer needs into the product roadmap.\nRequirements:\nProduction ownership: A track record of designing, coding, shipping, and operating complex production software.\nCore programming languages: Deep proficiency in at least one backend language, such as Java, Python, Go, or Rust, and the ability to work across TypeScript-based frontend\napplications.\nAI implementation experience: Hands-on experience delivering AI agents or LLM-powered applications into real customer workflows.\nCustomer communication: Strong customer-facing communication: you can lead discovery, demonstrate a solution, explain trade-offs, and manage technical expectations.\nSystems and integration expertise: Deep understanding of APIs, distributed systems, data modeling, asynchronous processing, and enterprise integrations.\nAgent orchestration: Practical experience with prompt design, tool use, retrieval, agent state, evaluations, and production failure handling.\nEngineering judgment: Sound judgment across security, scalability, reliability, performance, cost, and operational complexity.\nDevOps and observability: Experience with cloud platforms, CI/CD, automated testing, and observability.\nDelivery leadership: The ability to prioritize across complex implementations, surface risks early, and guide delivery while remaining hands-on.\nTeam leadership: A record of mentoring engineers and improving the quality of both technical work and customer collaboration\nExperience: Typically 8+ years of relevant engineering experience, with demonstrated ownership of complex production systems and customer implementations.\nEnterprise platforms: Java/Spring, Salesforce, HubSpot, Genesys, Twilio, NICE, Avaya, or other CRM, CPaaS, and CCaaS platforms.\nAgent frameworks: LangGraph, LangChain, LlamaIndex, OpenAI Agents SDK, Google ADK, Anthropic agent tooling, Semantic Kernel, or AutoGen.\nAgent architecture: MCP, A2A, multi-agent orchestration, agent skills, memory/state, and durable execution.\nAI quality: Custom graders, LLM-as-judge, trajectory evaluations, LangSmith, Arize Phoenix, Braintrust, or Weights and Biases.\nKnowledge systems: RAG, reranking, hybrid search, GraphRAG, pgvector, Pinecone, Weaviate, or Elasticsearch/OpenSearch.\nVoice and real-time systems: WebRTC, WebSockets, OpenAI Realtime, streaming STT/TTS, Deepgram, ElevenLabs, or LiveKit.\nInfrastructure and security: AWS, GCP, Azure, Kubernetes, Terraform, agent sandboxing, identity controls, and regulated customer environments.\nAI-assisted development: Effective use of Claude Code, Codex, Cursor, or GitHub Copilot with rigorous verification.","description_format":"text","description_chars":5128,"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":["Artificial Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-29T11:39:31Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":42,"reasons":["seen:0","win:early"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/zingly-senior-software-engineer","json_url":"https://alion.io/job/zingly-senior-software-engineer.json","meta":{"generated_at":"2026-10-01T02:54:01Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2279,"day_limit":5000,"remaining_today":2721,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}