{"id":2119870,"url":"https://alion.io/job/extrac-senior-ai-software-engineer","title":"Senior AI Software Engineer","company":{"id":4333564,"name":"ExTrac","domain":"extrac.ai","url":"https://alion.io/company/extrac","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":106000,"max_usd":194000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":35},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"FedRAMP","optional":false},{"name":"Go","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"Trunk-Based Development","optional":false}],"status":"live","first_seen_at":"2026-09-30T10:13:59Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-11T18:29:24Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"About ExTrac\nExTrac is a decision intelligence company used by governments, defence organisations, financial institutions, and corporates operating in complex, fast-moving environments. Our capabilities fuse curated data sources, domain-specific AI, and deep human expertise to transform information overload into clear, actionable foresight.\nOur ambition is to become the analytical backbone that organisations rely on when geopolitical uncertainty becomes an opportunity or a strategic risk. More at extrac.ai.\nThe Role\nWe are looking for a Senior Software Engineer to join ExTrac's AI team, building Co-Analyst and the analytical AI features around it.\nCo-Analyst is a user-facing multi-agent system that works alongside intelligence analysts to research and write reports. A planning loop decomposes an analyst's question, fans work out to sub-agents, and assembles the results into a report where every claim traces back to the chunk of source it came from. Underneath sits vector search over a large unstructured corpus, across multiple languages and media types.\nThe agent work is the centrepiece but not the whole job. In a single quarter the work spans agent orchestration, retrieval, graph analytics, and long-running streaming pipelines, alongside the services and databases underneath them. You will own services end to end across a Python and Go codebase, working alongside the data team who own the ingestion pipelines and a research-focused ML team who train and evaluate the models we integrate and serve. The loop is short: product brings an idea, often recent and unproven, and our job is to spike an implementation and take it to a production feature. New features land close to weekly.\nThis hire exists to raise the AI team's throughput on hard problems, with an engineer who brings the systems depth to take an AI capability from something that works to something analysts can rely on.\nWhat the job involves\nAgentic and analytical AI features\nBuild and improve the agent loop itself: context assembly, tool selection, and sub-agent orchestration.\n\nBuild the analytical AI features that sit alongside it, from network construction through to the summaries analysts read.\n\nProve that changes are improvements, running experiments against live analyst traffic behind feature flags.\n\nAgree what \"better\" means for a capability before shipping it, and make the call honestly when the evidence says a promising approach is not working.\n\nFind workable approaches where no established pattern fits, on a dataset that rarely arrives clean.\n\nWork with embeddings as more than a retrieval concern. The same vectors drive network construction and community detection.\n\nWork within a model-agnostic design, swapping models and embeddings on the back of the ML team's evaluations rather than being locked to one.\n\nService design and delivery\nTake an ambiguous problem, gather requirements, write a technical design, and ship to production with minimal oversight.\n\nOwn services end to end, including consolidating or decommissioning what they replace.\n\nDesign APIs used by both internal teams and customers, and hold them to clear contracts and sensible versioning as the number of consumers grows.\n\nTreat the storage layer as a design concern rather than an implementation detail: schema, indexing strategy, and access patterns, across relational, document, and vector stores.\n\nContribute to and lead system design and architecture decisions.\n\nProduction engineering\nOwn supporting services end to end across Python and Go: design, build, deploy, operate.\n\nHold agent workflows to production standards for latency, cost, and reliability, in a system where non-determinism is a given.\n\nBuild and operate long-running streaming pipelines, including the caching and recovery behaviour that makes them survivable.\n\nWorking with analysts, product, and the ML team\nWork directly with the analysts who use our products, turning what they hit in practice into changes in the system.\n\nIterate quickly against a live stream of product requests, flagging where they collide with longer-horizon capability work.\n\nPartner with the ML team on agentic approaches, taking proven concepts to production and solving the engineering, performance, and reliability problems a research implementation does not have to.\n\nIntegrate and serve the models they train, and build the production infrastructure their evaluation frameworks run on.\n\nYou should apply if\nYou have built and operated production backend systems, and you want to keep doing that. You know the difference between something that demos well and something that holds up under production load, latency, and cost.\n\nYou will spend more of your time in Python and Go services, databases, and APIs than in a prompt file.\n\nYou can operate with a high degree of autonomy. You will be trusted to lead projects, make decisions, and drive outcomes. We work on open-ended problems with no established answer, and when the obvious approach fails you generate alternatives rather than stopping.\n\nYou have opinions about agentic frameworks and are comfortable not using one. Experience with them is useful, but we build most of our own orchestration, because off-the-shelf abstractions have not survived our requirements around evaluation, control, and production performance.\n\nYou can take a recent technique or paper, spike an implementation, and give a clear recommendation on whether it is worth taking further. You are as comfortable arguing to kill something as to ship it.\n\nYou do not trust a change until you have measured it. Reaching for the evaluation is instinct rather than afterthought.\n\nYou treat quality, security, and observability as engineering fundamentals rather than optional extras, and you make the case for addressing technical debt rather than living with it.\n\nYou raise the bar for the engineers around you in ways they would recognise: pairing on problems outside your own project, leaving reviews people learn from, and writing things down for the next person.\n\nYou want to work on things that matter. Our software sits underneath decisions taken by governments, defence organisations, and institutions operating where being wrong or late carries real consequences.\n\nWhere this role can take you\nDeepen your ownership. Strong performance means larger sections of Co-Analyst, more architectural say over how the agent system evolves, and more influence over which ideas we pursue rather than only how we build them.\n\nBuild the engineering practice for a class of system nobody has settled yet. There are established patterns for running web services and for training models. There are none yet for operating agentic systems in production: controlling cost and latency, making non-deterministic behaviour dependable, and knowing when a change is genuinely an improvement. You will be working those out rather than applying them.\n\nBreadth rather than a narrow track. The work follows the problem, which means agent orchestration one month and pipeline, retrieval, or infrastructure work the next. Engineers here have the opportunity to build depth across several areas rather than being funnelled into one.\n\nTake on a different class of problem. Making our systems work inside FedRAMP environments is a major upcoming project, and engineering under that kind of constraint is a skill set that stays with you.\n\nProgress without changing track. ExTrac values the IC and management paths equally: Staff Engineer and Engineering Manager sit at the same level, and taking on reports is not the price of progression.\n\nRequirements\nDue to the nature of our work and the clients we support, applicants must be eligible to obtain UK security clearance. We are currently only able to consider applicants who are nationals of a NATO member state, Australia, or New Zealand.\n4+ years of professional software engineering experience, with demonstrated ability to stand up production-grade services with comprehensive test coverage, and experience owning features end to end.\n\nProficiency in building services in Python, with working knowledge of Go or the ability to pick it up quickly.\n\nExperience building and operating agentic systems, LLM applications, or production retrieval that real users depend on.\n\nSolid understanding of distributed systems, databases, and software engineering patterns.\n\nExperience writing performant asynchronous code that scales under real workloads.\n\nExperience with cloud infrastructure and infrastructure as code, and with the CI/CD pipelines around them.\n\nExperience with feature flags and trunk-based deployment.\n\nComfortable being handed a symptom rather than a diagnosis. Given a suspected memory leak, you would profile it, find the cause, and fix it.\n\nAble to take a PRD and scope a technical design from it, pushing back where the proposed approach does not hold up. Equally, you look for a way through rather than concluding something cannot be done.\n\nStrong communication and collaboration skills. Comfortable writing clear technical documentation and discussing requirements with colleagues from engineering and the wider team.\n\nBreadth across the stack: improving deployment pipelines, understanding database behaviour, and a genuine interest in security and AI guardrails. You pick up unfamiliar tools quickly rather than needing prior expertise in a specific one.\n\nAn interest in validating analytical outputs and in taking analyst feedback into requirements discussions, rather than treating requirements as someone else's problem.\n\nDesirable\nExperience with retrieval systems and large-scale vector database performance (Elastic).\n\nExperience with graph or network analysis at scale.\n\nExperience building retrieval or analysis that works across multiple languages.\n\nExperience with streaming pipelines and search infrastructure.\n\nExperience operating multi-tenant systems where data isolation is a hard requirement.\n\nExperience working in compliance-constrained environments. A significant upcoming project is making our systems work within FedRAMP environments.\n\nInterview Process\nInitial Intro Interview with Hiring Manager - 30 Minutes\n\nTechnical Assessment - 1 hour\n\nCompetency-based Interview - 1 hour\n\nFounder interview - 30 Minutes\n\nBenefits\nCompetitive salary based on skills and experience.\n\nA generous benefits package, including Private Medical Health Insurance and enhanced pension contributions.\n\nEnhanced parental leave and a workplace nursery scheme.\n\n£500/year education budget with more expensive items (like conferences) covered with manager approval.\n\n33 days of leave across the year inclusive of bank holidays.\n\nFlexible working. The team is typically in our central London office two days a week, and you are welcome to come in up to five.\n\nExTrac AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, colour, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.\nExTrac AI is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing open role within our organisation. Please be advised that we may use artificial intelligence-driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position but all hiring decisions will be made by a member of our team.","description_format":"text","description_chars":11556,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Health insurance","Parental leave","Workplace nursery"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-08T23:54:59Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.865,"p_room":1,"age_days":9,"expected_fill_days":39,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/extrac-senior-ai-software-engineer","json_url":"https://alion.io/job/extrac-senior-ai-software-engineer.json","meta":{"generated_at":"2026-10-11T19:57:02Z","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":7346,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-12T00:00:00Z"}},"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":4333564},"rest":"https://alion.io/mcp/rest/get_company?id=4333564"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fextrac-senior-ai-software-engineer"},{"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%2Fextrac-senior-ai-software-engineer"},{"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%2Fextrac-senior-ai-software-engineer"},{"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/extrac-senior-ai-software-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fextrac-senior-ai-software-engineer"}]}