{"id":3140027,"url":"https://alion.io/job/6sense-sr-ai-engineer","title":"Sr. AI Engineer","company":{"id":2872,"name":"6sense","domain":"6sense.com","url":"https://alion.io/company/6sense","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":76,"open_postings":7,"ghost_share":0,"stale_share":0.857,"repost_share":0.143,"time_to_fill_p50_days":32,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","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":26000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Hybrid Search","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Reranking","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Databricks","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LangChain","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-23T07:13:48Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-27T06:41:48Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Our Mission:\n6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential.\nOur People:\nPeople are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. \nJob Description\n6sense has agents and an MCP server in production today, used by real customers. This role takes them further by building more capable agents, strengthening the API and tool layer, and creating an ecosystem that external agents, clients, and partners can connect to.\nYou'll work across the full journey from a customer's agent to 6sense data and actions-including APIs, tools, MCP, orchestration, context, evaluation, and security.\n6sense is working to become the default Contextual Intelligence layer for B2B. Agents and MCP are how that context reaches customers, partners, and their AI tools. You'll partner closely with the team building contextual intelligence, write production Python daily, own multi-month projects, support the teams and customers who depend on these systems, and keep the platform current as the agent tooling landscape evolves.\nWhat You'll Own\nAgents and Orchestration\nExtend LangGraph orchestrators with typed state, conditional routing, subgraphs, checkpointing, durable execution, and human-in-the-loop steps.\n\nChoose among routing, orchestrator-worker, plan-and-execute, reflection, and multi-agent handoff patterns based on the problem.\n\nRun agents headless-API- and MCP-first-across in-app, chat, workflow, and partner surfaces from one shared core.\n\nMaintain reusable components for state, memory, tool-calling, and agent-to-agent delegation with scoped permissions.\n\nAPIs, Tools, and MCP\nEvolve the APIs and tools agents use to read 6sense data and take action, for both human and LLM callers.\n\nTune tool design for agent success, including names, descriptions, schemas, response shapes, error messages, and token-efficient outputs.\n\nRedesign and scale the MCP layer for production workloads, including concurrency, per-tenant quotas, latency budgets, caching, and graceful degradation, while maintaining backward compatibility and adopting new specification capabilities as they mature.\n\nOnboard external MCP clients, AI assistants, agent platforms, and partners. Write integration guides and reference clients, and define how 6sense consumes third-party MCP servers, including trust boundaries.\n\nHarden execution with idempotency, retries, rate limits, permissions, and spend controls. Maintain standards for tool contracts, versioning, and discovery.\n\nContext and Evaluation\nPartner with the Contextual Intelligence team to expose context to agents through MCP, APIs, and tools, ensuring one context layer serves every surface. Establish contracts defining what each call returns, how fresh the information is, where it comes from, and how it is scoped to the tenant and user.\n\nImprove permission-aware retrieval and grounding through chunking, hybrid search, reranking, and citations. Optimize context assembly and memory within token and latency limits.\n\nExtend evaluation using golden datasets, tool-selection and tool-call accuracy, end-to-end task success, regression suites, and release gates, including context-quality measures.\n\nExpand tracing and usage analytics, and report on task success rate, tool-call precision, groundedness, latency, and cost per successful outcome.\n\nSecurity, Privacy, and Trust\nMake security a first consideration in every tool, API, agent, and MCP change, and review your own and teammates' work for vulnerabilities.\n\nEnforce tenant isolation and user-level authorization on every call so agents never access data beyond the caller's permissions. Maintain short-lived, scoped credentials.\n\nDefend against prompt injection, tool poisoning, excessive agency, and data leakage through tool outputs, traces, and logs. Set runtime limits on steps, tokens, time, and cost.\n\nCustomers and Engineering Craft\nTriage and debug customer-reported issues across agents, tools, models, and downstream systems, identify root causes, and deliver fixes.\n\nParticipate in customer and partner technical calls, and support enablement teams with guidance, demos, and documentation.\n\nWrite design documents that clearly explain assumptions and trade-offs, review code and designs, mentor engineers earlier in their careers, and participate in on-call rotations and incident response.\n\nTrack developments in MCP, agent frameworks, and model capabilities. Prototype promising technologies and provide short, evidence-backed recommendations.\n\nWhat You'll Bring\n5+ years of experience building and running production software, with strong distributed-systems fundamentals, including idempotency, fault tolerance, backpressure, and failure recovery.\n\n2+ years of experience building production LLM-based systems, including agents used by real customers.\n\nStrong Python skills and production experience with LangGraph or an equivalent orchestration framework.\n\nExperience designing APIs and tool interfaces for LLM callers, including schemas, descriptions, error handling, and tool-selection behavior. Direct MCP experience is strongly preferred.\n\nExperience scaling an API or platform used by external customers or partners, including authentication, rate limiting, versioning, and backward compatibility.\n\nProduction experience with retrieval and grounding, as well as writing and running LLM evaluations.\n\nExperience with multi-tenant, security-sensitive cloud systems, preferably AWS, including authorization boundaries and data-leakage prevention.\n\nExperience debugging production issues across services and supporting customers directly or through support and solutions teams.\n\nA track record of owning multi-month, cross-team projects independently and communicating clearly with technical and non-technical audiences.\n\nBachelor's degree in Computer Science, Engineering, or equivalent practical experience.\n\nNice to Have\nExperience building or operating MCP servers in production, or contributing to MCP open-source projects.\n\nExperience serving context to agents from signals, entity data, knowledge graphs, or enterprise data platforms.\n\nExperience integrating with external agent platforms or AI assistants as a partner, or working with agent interoperability protocols.\n\nExperience with B2B go-to-market, RevTech, CRM, or intent-data platforms.\n\nExperience with model routing, caching, and cost/latency optimization.\n\nExperience with Kafka, Snowflake, Databricks, or Spark.\n\nWhat This Role Is Not\nNot an architect role: You'll set direction through working code and design documents.\n\nNot MCP-only: MCP sits alongside APIs, tools, and orchestration.\n\nNot a greenfield build: These systems are live, with real customers depending on them.\n\nOur Benefits: \nFull-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices. \nWe have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds. \nEqual Opportunity Employer: \n6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to . \nWe are aware of recruiting impersonation attemptsthat are not affiliated with 6sense in any way. All email communications from 6sensewill originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. 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